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  105. <h2 title="Class Dnn" class="title">Class Dnn</h2>
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  134. <h3>Field Summary</h3>
    135. 

  135. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Field Summary table, listing fields, and an explanation">
    136. 

  136. <caption><span>Fields</span><span class="tabEnd">&nbsp;</span></caption>
    137. 

  137. <tr>
    138. 

  138. <th class="colFirst" scope="col">Modifier and Type</th>
    139. 

  139. <th class="colLast" scope="col">Field and Description</th>
    140. 

  140. </tr>
    141. 

  141. <tr class="altColor">
    142. 

  142. <td class="colFirst"><code>static int</code></td>
    143. 

  143. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_CANN">DNN_BACKEND_CANN</a></span></code>&nbsp;</td>
    144. 

  144. </tr>
    145. 

  145. <tr class="rowColor">
    146. 

  146. <td class="colFirst"><code>static int</code></td>
    147. 

  147. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_CUDA">DNN_BACKEND_CUDA</a></span></code>&nbsp;</td>
    148. 

  148. </tr>
    149. 

  149. <tr class="altColor">
    150. 

  150. <td class="colFirst"><code>static int</code></td>
    151. 

  151. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_DEFAULT">DNN_BACKEND_DEFAULT</a></span></code>&nbsp;</td>
    152. 

  152. </tr>
    153. 

  153. <tr class="rowColor">
    154. 

  154. <td class="colFirst"><code>static int</code></td>
    155. 

  155. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_HALIDE">DNN_BACKEND_HALIDE</a></span></code>&nbsp;</td>
    156. 

  156. </tr>
    157. 

  157. <tr class="altColor">
    158. 

  158. <td class="colFirst"><code>static int</code></td>
    159. 

  159. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_INFERENCE_ENGINE">DNN_BACKEND_INFERENCE_ENGINE</a></span></code>&nbsp;</td>
    160. 

  160. </tr>
    161. 

  161. <tr class="rowColor">
    162. 

  162. <td class="colFirst"><code>static int</code></td>
    163. 

  163. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_OPENCV">DNN_BACKEND_OPENCV</a></span></code>&nbsp;</td>
    164. 

  164. </tr>
    165. 

  165. <tr class="altColor">
    166. 

  166. <td class="colFirst"><code>static int</code></td>
    167. 

  167. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_TIMVX">DNN_BACKEND_TIMVX</a></span></code>&nbsp;</td>
    168. 

  168. </tr>
    169. 

  169. <tr class="rowColor">
    170. 

  170. <td class="colFirst"><code>static int</code></td>
    171. 

  171. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_VKCOM">DNN_BACKEND_VKCOM</a></span></code>&nbsp;</td>
    172. 

  172. </tr>
    173. 

  173. <tr class="altColor">
    174. 

  174. <td class="colFirst"><code>static int</code></td>
    175. 

  175. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_BACKEND_WEBNN">DNN_BACKEND_WEBNN</a></span></code>&nbsp;</td>
    176. 

  176. </tr>
    177. 

  177. <tr class="rowColor">
    178. 

  178. <td class="colFirst"><code>static int</code></td>
    179. 

  179. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_NCDHW">DNN_LAYOUT_NCDHW</a></span></code>&nbsp;</td>
    180. 

  180. </tr>
    181. 

  181. <tr class="altColor">
    182. 

  182. <td class="colFirst"><code>static int</code></td>
    183. 

  183. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_NCHW">DNN_LAYOUT_NCHW</a></span></code>&nbsp;</td>
    184. 

  184. </tr>
    185. 

  185. <tr class="rowColor">
    186. 

  186. <td class="colFirst"><code>static int</code></td>
    187. 

  187. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_ND">DNN_LAYOUT_ND</a></span></code>&nbsp;</td>
    188. 

  188. </tr>
    189. 

  189. <tr class="altColor">
    190. 

  190. <td class="colFirst"><code>static int</code></td>
    191. 

  191. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_NDHWC">DNN_LAYOUT_NDHWC</a></span></code>&nbsp;</td>
    192. 

  192. </tr>
    193. 

  193. <tr class="rowColor">
    194. 

  194. <td class="colFirst"><code>static int</code></td>
    195. 

  195. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_NHWC">DNN_LAYOUT_NHWC</a></span></code>&nbsp;</td>
    196. 

  196. </tr>
    197. 

  197. <tr class="altColor">
    198. 

  198. <td class="colFirst"><code>static int</code></td>
    199. 

  199. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_PLANAR">DNN_LAYOUT_PLANAR</a></span></code>&nbsp;</td>
    200. 

  200. </tr>
    201. 

  201. <tr class="rowColor">
    202. 

  202. <td class="colFirst"><code>static int</code></td>
    203. 

  203. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_LAYOUT_UNKNOWN">DNN_LAYOUT_UNKNOWN</a></span></code>&nbsp;</td>
    204. 

  204. </tr>
    205. 

  205. <tr class="altColor">
    206. 

  206. <td class="colFirst"><code>static int</code></td>
    207. 

  207. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_PMODE_CROP_CENTER">DNN_PMODE_CROP_CENTER</a></span></code>&nbsp;</td>
    208. 

  208. </tr>
    209. 

  209. <tr class="rowColor">
    210. 

  210. <td class="colFirst"><code>static int</code></td>
    211. 

  211. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_PMODE_LETTERBOX">DNN_PMODE_LETTERBOX</a></span></code>&nbsp;</td>
    212. 

  212. </tr>
    213. 

  213. <tr class="altColor">
    214. 

  214. <td class="colFirst"><code>static int</code></td>
    215. 

  215. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_PMODE_NULL">DNN_PMODE_NULL</a></span></code>&nbsp;</td>
    216. 

  216. </tr>
    217. 

  217. <tr class="rowColor">
    218. 

  218. <td class="colFirst"><code>static int</code></td>
    219. 

  219. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_CPU">DNN_TARGET_CPU</a></span></code>&nbsp;</td>
    220. 

  220. </tr>
    221. 

  221. <tr class="altColor">
    222. 

  222. <td class="colFirst"><code>static int</code></td>
    223. 

  223. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_CPU_FP16">DNN_TARGET_CPU_FP16</a></span></code>&nbsp;</td>
    224. 

  224. </tr>
    225. 

  225. <tr class="rowColor">
    226. 

  226. <td class="colFirst"><code>static int</code></td>
    227. 

  227. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_CUDA">DNN_TARGET_CUDA</a></span></code>&nbsp;</td>
    228. 

  228. </tr>
    229. 

  229. <tr class="altColor">
    230. 

  230. <td class="colFirst"><code>static int</code></td>
    231. 

  231. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_CUDA_FP16">DNN_TARGET_CUDA_FP16</a></span></code>&nbsp;</td>
    232. 

  232. </tr>
    233. 

  233. <tr class="rowColor">
    234. 

  234. <td class="colFirst"><code>static int</code></td>
    235. 

  235. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_FPGA">DNN_TARGET_FPGA</a></span></code>&nbsp;</td>
    236. 

  236. </tr>
    237. 

  237. <tr class="altColor">
    238. 

  238. <td class="colFirst"><code>static int</code></td>
    239. 

  239. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_HDDL">DNN_TARGET_HDDL</a></span></code>&nbsp;</td>
    240. 

  240. </tr>
    241. 

  241. <tr class="rowColor">
    242. 

  242. <td class="colFirst"><code>static int</code></td>
    243. 

  243. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_MYRIAD">DNN_TARGET_MYRIAD</a></span></code>&nbsp;</td>
    244. 

  244. </tr>
    245. 

  245. <tr class="altColor">
    246. 

  246. <td class="colFirst"><code>static int</code></td>
    247. 

  247. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_NPU">DNN_TARGET_NPU</a></span></code>&nbsp;</td>
    248. 

  248. </tr>
    249. 

  249. <tr class="rowColor">
    250. 

  250. <td class="colFirst"><code>static int</code></td>
    251. 

  251. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_OPENCL">DNN_TARGET_OPENCL</a></span></code>&nbsp;</td>
    252. 

  252. </tr>
    253. 

  253. <tr class="altColor">
    254. 

  254. <td class="colFirst"><code>static int</code></td>
    255. 

  255. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_OPENCL_FP16">DNN_TARGET_OPENCL_FP16</a></span></code>&nbsp;</td>
    256. 

  256. </tr>
    257. 

  257. <tr class="rowColor">
    258. 

  258. <td class="colFirst"><code>static int</code></td>
    259. 

  259. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#DNN_TARGET_VULKAN">DNN_TARGET_VULKAN</a></span></code>&nbsp;</td>
    260. 

  260. </tr>
    261. 

  261. <tr class="altColor">
    262. 

  262. <td class="colFirst"><code>static int</code></td>
    263. 

  263. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#SoftNMSMethod_SOFTNMS_GAUSSIAN">SoftNMSMethod_SOFTNMS_GAUSSIAN</a></span></code>&nbsp;</td>
    264. 

  264. </tr>
    265. 

  265. <tr class="rowColor">
    266. 

  266. <td class="colFirst"><code>static int</code></td>
    267. 

  267. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#SoftNMSMethod_SOFTNMS_LINEAR">SoftNMSMethod_SOFTNMS_LINEAR</a></span></code>&nbsp;</td>
    268. 

  268. </tr>
    269. 

  269. </table>
    270. 

  270. </li>
    271. 

  271. </ul>
    272. 

  272. <!-- ======== CONSTRUCTOR SUMMARY ======== -->
    273. 

  273. <ul class="blockList">
    274. 

  274. <li class="blockList"><a name="constructor.summary">
    275. 

  275. <!--   -->
    276. 

  276. </a>
    277. 

  277. <h3>Constructor Summary</h3>
    278. 

  278. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Constructor Summary table, listing constructors, and an explanation">
    279. 

  279. <caption><span>Constructors</span><span class="tabEnd">&nbsp;</span></caption>
    280. 

  280. <tr>
    281. 

  281. <th class="colOne" scope="col">Constructor and Description</th>
    282. 

  282. </tr>
    283. 

  283. <tr class="altColor">
    284. 

  284. <td class="colOne"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#Dnn--">Dnn</a></span>()</code>&nbsp;</td>
    285. 

  285. </tr>
    286. 

  286. </table>
    287. 

  287. </li>
    288. 

  288. </ul>
    289. 

  289. <!-- ========== METHOD SUMMARY =========== -->
    290. 

  290. <ul class="blockList">
    291. 

  291. <li class="blockList"><a name="method.summary">
    292. 

  292. <!--   -->
    293. 

  293. </a>
    294. 

  294. <h3>Method Summary</h3>
    295. 

  295. <table class="memberSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
    296. 

  296. <caption><span id="t0" class="activeTableTab"><span>All Methods</span><span class="tabEnd">&nbsp;</span></span><span id="t1" class="tableTab"><span><a href="javascript:show(1);">Static Methods</a></span><span class="tabEnd">&nbsp;</span></span><span id="t4" class="tableTab"><span><a href="javascript:show(8);">Concrete Methods</a></span><span class="tabEnd">&nbsp;</span></span></caption>
    297. 

  297. <tr>
    298. 

  298. <th class="colFirst" scope="col">Modifier and Type</th>
    299. 

  299. <th class="colLast" scope="col">Method and Description</th>
    300. 

  300. </tr>
    301. 

  301. <tr id="i0" class="altColor">
    302. 

  302. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    303. 

  303. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image)</code>
    304. 

  304. <div class="block">Creates 4-dimensional blob from image.</div>
    305. 

  305. </td>
    306. 

  306. </tr>
    307. 

  307. <tr id="i1" class="rowColor">
    308. 

  308. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    309. 

  309. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    310. 

  310.              double&nbsp;scalefactor)</code>
    311. 

  311. <div class="block">Creates 4-dimensional blob from image.</div>
    312. 

  312. </td>
    313. 

  313. </tr>
    314. 

  314. <tr id="i2" class="altColor">
    315. 

  315. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    316. 

  316. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    317. 

  317.              double&nbsp;scalefactor,
    318. 

  318.              <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size)</code>
    319. 

  319. <div class="block">Creates 4-dimensional blob from image.</div>
    320. 

  320. </td>
    321. 

  321. </tr>
    322. 

  322. <tr id="i3" class="rowColor">
    323. 

  323. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    324. 

  324. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    325. 

  325.              double&nbsp;scalefactor,
    326. 

  326.              <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    327. 

  327.              <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean)</code>
    328. 

  328. <div class="block">Creates 4-dimensional blob from image.</div>
    329. 

  329. </td>
    330. 

  330. </tr>
    331. 

  331. <tr id="i4" class="altColor">
    332. 

  332. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    333. 

  333. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    334. 

  334.              double&nbsp;scalefactor,
    335. 

  335.              <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    336. 

  336.              <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    337. 

  337.              boolean&nbsp;swapRB)</code>
    338. 

  338. <div class="block">Creates 4-dimensional blob from image.</div>
    339. 

  339. </td>
    340. 

  340. </tr>
    341. 

  341. <tr id="i5" class="rowColor">
    342. 

  342. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    343. 

  343. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    344. 

  344.              double&nbsp;scalefactor,
    345. 

  345.              <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    346. 

  346.              <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    347. 

  347.              boolean&nbsp;swapRB,
    348. 

  348.              boolean&nbsp;crop)</code>
    349. 

  349. <div class="block">Creates 4-dimensional blob from image.</div>
    350. 

  350. </td>
    351. 

  351. </tr>
    352. 

  352. <tr id="i6" class="altColor">
    353. 

  353. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    354. 

  354. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">blobFromImage</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    355. 

  355.              double&nbsp;scalefactor,
    356. 

  356.              <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    357. 

  357.              <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    358. 

  358.              boolean&nbsp;swapRB,
    359. 

  359.              boolean&nbsp;crop,
    360. 

  360.              int&nbsp;ddepth)</code>
    361. 

  361. <div class="block">Creates 4-dimensional blob from image.</div>
    362. 

  362. </td>
    363. 

  363. </tr>
    364. 

  364. <tr id="i7" class="rowColor">
    365. 

  365. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    366. 

  366. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images)</code>
    367. 

  367. <div class="block">Creates 4-dimensional blob from series of images.</div>
    368. 

  368. </td>
    369. 

  369. </tr>
    370. 

  370. <tr id="i8" class="altColor">
    371. 

  371. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    372. 

  372. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-double-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    373. 

  373.               double&nbsp;scalefactor)</code>
    374. 

  374. <div class="block">Creates 4-dimensional blob from series of images.</div>
    375. 

  375. </td>
    376. 

  376. </tr>
    377. 

  377. <tr id="i9" class="rowColor">
    378. 

  378. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    379. 

  379. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    380. 

  380.               double&nbsp;scalefactor,
    381. 

  381.               <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size)</code>
    382. 

  382. <div class="block">Creates 4-dimensional blob from series of images.</div>
    383. 

  383. </td>
    384. 

  384. </tr>
    385. 

  385. <tr id="i10" class="altColor">
    386. 

  386. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    387. 

  387. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    388. 

  388.               double&nbsp;scalefactor,
    389. 

  389.               <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    390. 

  390.               <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean)</code>
    391. 

  391. <div class="block">Creates 4-dimensional blob from series of images.</div>
    392. 

  392. </td>
    393. 

  393. </tr>
    394. 

  394. <tr id="i11" class="rowColor">
    395. 

  395. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    396. 

  396. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    397. 

  397.               double&nbsp;scalefactor,
    398. 

  398.               <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    399. 

  399.               <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    400. 

  400.               boolean&nbsp;swapRB)</code>
    401. 

  401. <div class="block">Creates 4-dimensional blob from series of images.</div>
    402. 

  402. </td>
    403. 

  403. </tr>
    404. 

  404. <tr id="i12" class="altColor">
    405. 

  405. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    406. 

  406. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    407. 

  407.               double&nbsp;scalefactor,
    408. 

  408.               <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    409. 

  409.               <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    410. 

  410.               boolean&nbsp;swapRB,
    411. 

  411.               boolean&nbsp;crop)</code>
    412. 

  412. <div class="block">Creates 4-dimensional blob from series of images.</div>
    413. 

  413. </td>
    414. 

  414. </tr>
    415. 

  415. <tr id="i13" class="rowColor">
    416. 

  416. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    417. 

  417. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">blobFromImages</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    418. 

  418.               double&nbsp;scalefactor,
    419. 

  419.               <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    420. 

  420.               <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    421. 

  421.               boolean&nbsp;swapRB,
    422. 

  422.               boolean&nbsp;crop,
    423. 

  423.               int&nbsp;ddepth)</code>
    424. 

  424. <div class="block">Creates 4-dimensional blob from series of images.</div>
    425. 

  425. </td>
    426. 

  426. </tr>
    427. 

  427. <tr id="i14" class="altColor">
    428. 

  428. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    429. 

  429. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImagesWithParams-java.util.List-">blobFromImagesWithParams</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images)</code>
    430. 

  430. <div class="block">Creates 4-dimensional blob from series of images with given params.</div>
    431. 

  431. </td>
    432. 

  432. </tr>
    433. 

  433. <tr id="i15" class="rowColor">
    434. 

  434. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    435. 

  435. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImagesWithParams-java.util.List-org.opencv.dnn.Image2BlobParams-">blobFromImagesWithParams</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    436. 

  436.                         <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</code>
    437. 

  437. <div class="block">Creates 4-dimensional blob from series of images with given params.</div>
    438. 

  438. </td>
    439. 

  439. </tr>
    440. 

  440. <tr id="i16" class="altColor">
    441. 

  441. <td class="colFirst"><code>static void</code></td>
    442. 

  442. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImagesWithParams-java.util.List-org.opencv.core.Mat-">blobFromImagesWithParams</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    443. 

  443.                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob)</code>&nbsp;</td>
    444. 

  444. </tr>
    445. 

  445. <tr id="i17" class="rowColor">
    446. 

  446. <td class="colFirst"><code>static void</code></td>
    447. 

  447. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImagesWithParams-java.util.List-org.opencv.core.Mat-org.opencv.dnn.Image2BlobParams-">blobFromImagesWithParams</a></span>(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    448. 

  448.                         <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob,
    449. 

  449.                         <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</code>&nbsp;</td>
    450. 

  450. </tr>
    451. 

  451. <tr id="i18" class="altColor">
    452. 

  452. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    453. 

  453. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImageWithParams-org.opencv.core.Mat-">blobFromImageWithParams</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image)</code>
    454. 

  454. <div class="block">Creates 4-dimensional blob from image with given params.</div>
    455. 

  455. </td>
    456. 

  456. </tr>
    457. 

  457. <tr id="i19" class="rowColor">
    458. 

  458. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    459. 

  459. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImageWithParams-org.opencv.core.Mat-org.opencv.dnn.Image2BlobParams-">blobFromImageWithParams</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    460. 

  460.                        <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</code>
    461. 

  461. <div class="block">Creates 4-dimensional blob from image with given params.</div>
    462. 

  462. </td>
    463. 

  463. </tr>
    464. 

  464. <tr id="i20" class="altColor">
    465. 

  465. <td class="colFirst"><code>static void</code></td>
    466. 

  466. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImageWithParams-org.opencv.core.Mat-org.opencv.core.Mat-">blobFromImageWithParams</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    467. 

  467.                        <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob)</code>&nbsp;</td>
    468. 

  468. </tr>
    469. 

  469. <tr id="i21" class="rowColor">
    470. 

  470. <td class="colFirst"><code>static void</code></td>
    471. 

  471. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#blobFromImageWithParams-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.dnn.Image2BlobParams-">blobFromImageWithParams</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    472. 

  472.                        <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob,
    473. 

  473.                        <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</code>&nbsp;</td>
    474. 

  474. </tr>
    475. 

  475. <tr id="i22" class="altColor">
    476. 

  476. <td class="colFirst"><code>static java.util.List&lt;java.lang.Integer&gt;</code></td>
    477. 

  477. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getAvailableTargets-int-">getAvailableTargets</a></span>(int&nbsp;be)</code>&nbsp;</td>
    478. 

  478. </tr>
    479. 

  479. <tr id="i23" class="rowColor">
    480. 

  480. <td class="colFirst"><code>static java.lang.String</code></td>
    481. 

  481. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getInferenceEngineCPUType--">getInferenceEngineCPUType</a></span>()</code>
    482. 

  482. <div class="block">Returns Inference Engine CPU type.</div>
    483. 

  483. </td>
    484. 

  484. </tr>
    485. 

  485. <tr id="i24" class="altColor">
    486. 

  486. <td class="colFirst"><code>static java.lang.String</code></td>
    487. 

  487. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#getInferenceEngineVPUType--">getInferenceEngineVPUType</a></span>()</code>
    488. 

  488. <div class="block">Returns Inference Engine VPU type.</div>
    489. 

  489. </td>
    490. 

  490. </tr>
    491. 

  491. <tr id="i25" class="rowColor">
    492. 

  492. <td class="colFirst"><code>static void</code></td>
    493. 

  493. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#imagesFromBlob-org.opencv.core.Mat-java.util.List-">imagesFromBlob</a></span>(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob_,
    494. 

  494.               java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images_)</code>
    495. 

  495. <div class="block">Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure
    496. 

  496.  (std::vector&lt;cv::Mat&gt;).</div>
    497. 

  497. </td>
    498. 

  498. </tr>
    499. 

  499. <tr id="i26" class="altColor">
    500. 

  500. <td class="colFirst"><code>static void</code></td>
    501. 

  501. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">NMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    502. 

  502.         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    503. 

  503.         float&nbsp;score_threshold,
    504. 

  504.         float&nbsp;nms_threshold,
    505. 

  505.         <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</code>
    506. 

  506. <div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
    507. 

  507. </td>
    508. 

  508. </tr>
    509. 

  509. <tr id="i27" class="rowColor">
    510. 

  510. <td class="colFirst"><code>static void</code></td>
    511. 

  511. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">NMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    512. 

  512.         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    513. 

  513.         float&nbsp;score_threshold,
    514. 

  514.         float&nbsp;nms_threshold,
    515. 

  515.         <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    516. 

  516.         float&nbsp;eta)</code>
    517. 

  517. <div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
    518. 

  518. </td>
    519. 

  519. </tr>
    520. 

  520. <tr id="i28" class="altColor">
    521. 

  521. <td class="colFirst"><code>static void</code></td>
    522. 

  522. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">NMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    523. 

  523.         <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    524. 

  524.         float&nbsp;score_threshold,
    525. 

  525.         float&nbsp;nms_threshold,
    526. 

  526.         <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    527. 

  527.         float&nbsp;eta,
    528. 

  528.         int&nbsp;top_k)</code>
    529. 

  529. <div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
    530. 

  530. </td>
    531. 

  531. </tr>
    532. 

  532. <tr id="i29" class="rowColor">
    533. 

  533. <td class="colFirst"><code>static void</code></td>
    534. 

  534. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesBatched-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-org.opencv.core.MatOfInt-float-float-org.opencv.core.MatOfInt-">NMSBoxesBatched</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    535. 

  535.                <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    536. 

  536.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;class_ids,
    537. 

  537.                float&nbsp;score_threshold,
    538. 

  538.                float&nbsp;nms_threshold,
    539. 

  539.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</code>
    540. 

  540. <div class="block">Performs batched non maximum suppression on given boxes and corresponding scores across different classes.</div>
    541. 

  541. </td>
    542. 

  542. </tr>
    543. 

  543. <tr id="i30" class="altColor">
    544. 

  544. <td class="colFirst"><code>static void</code></td>
    545. 

  545. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesBatched-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-org.opencv.core.MatOfInt-float-float-org.opencv.core.MatOfInt-float-">NMSBoxesBatched</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    546. 

  546.                <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    547. 

  547.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;class_ids,
    548. 

  548.                float&nbsp;score_threshold,
    549. 

  549.                float&nbsp;nms_threshold,
    550. 

  550.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    551. 

  551.                float&nbsp;eta)</code>
    552. 

  552. <div class="block">Performs batched non maximum suppression on given boxes and corresponding scores across different classes.</div>
    553. 

  553. </td>
    554. 

  554. </tr>
    555. 

  555. <tr id="i31" class="rowColor">
    556. 

  556. <td class="colFirst"><code>static void</code></td>
    557. 

  557. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesBatched-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-org.opencv.core.MatOfInt-float-float-org.opencv.core.MatOfInt-float-int-">NMSBoxesBatched</a></span>(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    558. 

  558.                <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    559. 

  559.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;class_ids,
    560. 

  560.                float&nbsp;score_threshold,
    561. 

  561.                float&nbsp;nms_threshold,
    562. 

  562.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    563. 

  563.                float&nbsp;eta,
    564. 

  564.                int&nbsp;top_k)</code>
    565. 

  565. <div class="block">Performs batched non maximum suppression on given boxes and corresponding scores across different classes.</div>
    566. 

  566. </td>
    567. 

  567. </tr>
    568. 

  568. <tr id="i32" class="altColor">
    569. 

  569. <td class="colFirst"><code>static void</code></td>
    570. 

  570. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">NMSBoxesRotated</a></span>(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;bboxes,
    571. 

  571.                <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    572. 

  572.                float&nbsp;score_threshold,
    573. 

  573.                float&nbsp;nms_threshold,
    574. 

  574.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</code>&nbsp;</td>
    575. 

  575. </tr>
    576. 

  576. <tr id="i33" class="rowColor">
    577. 

  577. <td class="colFirst"><code>static void</code></td>
    578. 

  578. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">NMSBoxesRotated</a></span>(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;bboxes,
    579. 

  579.                <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    580. 

  580.                float&nbsp;score_threshold,
    581. 

  581.                float&nbsp;nms_threshold,
    582. 

  582.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    583. 

  583.                float&nbsp;eta)</code>&nbsp;</td>
    584. 

  584. </tr>
    585. 

  585. <tr id="i34" class="altColor">
    586. 

  586. <td class="colFirst"><code>static void</code></td>
    587. 

  587. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">NMSBoxesRotated</a></span>(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;bboxes,
    588. 

  588.                <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    589. 

  589.                float&nbsp;score_threshold,
    590. 

  590.                float&nbsp;nms_threshold,
    591. 

  591.                <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    592. 

  592.                float&nbsp;eta,
    593. 

  593.                int&nbsp;top_k)</code>&nbsp;</td>
    594. 

  594. </tr>
    595. 

  595. <tr id="i35" class="rowColor">
    596. 

  596. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    597. 

  597. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-">readNet</a></span>(java.lang.String&nbsp;model)</code>
    598. 

  598. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    599. 

  599. </td>
    600. 

  600. </tr>
    601. 

  601. <tr id="i36" class="altColor">
    602. 

  602. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    603. 

  603. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-org.opencv.core.MatOfByte-">readNet</a></span>(java.lang.String&nbsp;framework,
    604. 

  604.        <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</code>
    605. 

  605. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    606. 

  606. </td>
    607. 

  607. </tr>
    608. 

  608. <tr id="i37" class="rowColor">
    609. 

  609. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    610. 

  610. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNet</a></span>(java.lang.String&nbsp;framework,
    611. 

  611.        <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel,
    612. 

  612.        <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferConfig)</code>
    613. 

  613. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    614. 

  614. </td>
    615. 

  615. </tr>
    616. 

  616. <tr id="i38" class="altColor">
    617. 

  617. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    618. 

  618. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-java.lang.String-">readNet</a></span>(java.lang.String&nbsp;model,
    619. 

  619.        java.lang.String&nbsp;config)</code>
    620. 

  620. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    621. 

  621. </td>
    622. 

  622. </tr>
    623. 

  623. <tr id="i39" class="rowColor">
    624. 

  624. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    625. 

  625. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNet-java.lang.String-java.lang.String-java.lang.String-">readNet</a></span>(java.lang.String&nbsp;model,
    626. 

  626.        java.lang.String&nbsp;config,
    627. 

  627.        java.lang.String&nbsp;framework)</code>
    628. 

  628. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    629. 

  629. </td>
    630. 

  630. </tr>
    631. 

  631. <tr id="i40" class="altColor">
    632. 

  632. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    633. 

  633. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-org.opencv.core.MatOfByte-">readNetFromCaffe</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferProto)</code>
    634. 

  634. <div class="block">Reads a network model stored in Caffe model in memory.</div>
    635. 

  635. </td>
    636. 

  636. </tr>
    637. 

  637. <tr id="i41" class="rowColor">
    638. 

  638. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    639. 

  639. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromCaffe</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferProto,
    640. 

  640.                 <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</code>
    641. 

  641. <div class="block">Reads a network model stored in Caffe model in memory.</div>
    642. 

  642. </td>
    643. 

  643. </tr>
    644. 

  644. <tr id="i42" class="altColor">
    645. 

  645. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    646. 

  646. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-java.lang.String-">readNetFromCaffe</a></span>(java.lang.String&nbsp;prototxt)</code>
    647. 

  647. <div class="block">Reads a network model stored in &lt;a href="http://caffe.berkeleyvision.org"&gt;Caffe&lt;/a&gt; framework's format.</div>
    648. 

  648. </td>
    649. 

  649. </tr>
    650. 

  650. <tr id="i43" class="rowColor">
    651. 

  651. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    652. 

  652. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromCaffe-java.lang.String-java.lang.String-">readNetFromCaffe</a></span>(java.lang.String&nbsp;prototxt,
    653. 

  653.                 java.lang.String&nbsp;caffeModel)</code>
    654. 

  654. <div class="block">Reads a network model stored in &lt;a href="http://caffe.berkeleyvision.org"&gt;Caffe&lt;/a&gt; framework's format.</div>
    655. 

  655. </td>
    656. 

  656. </tr>
    657. 

  657. <tr id="i44" class="altColor">
    658. 

  658. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    659. 

  659. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-org.opencv.core.MatOfByte-">readNetFromDarknet</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferCfg)</code>
    660. 

  660. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    661. 

  661. </td>
    662. 

  662. </tr>
    663. 

  663. <tr id="i45" class="rowColor">
    664. 

  664. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    665. 

  665. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromDarknet</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferCfg,
    666. 

  666.                   <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</code>
    667. 

  667. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    668. 

  668. </td>
    669. 

  669. </tr>
    670. 

  670. <tr id="i46" class="altColor">
    671. 

  671. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    672. 

  672. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-java.lang.String-">readNetFromDarknet</a></span>(java.lang.String&nbsp;cfgFile)</code>
    673. 

  673. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    674. 

  674. </td>
    675. 

  675. </tr>
    676. 

  676. <tr id="i47" class="rowColor">
    677. 

  677. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    678. 

  678. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromDarknet-java.lang.String-java.lang.String-">readNetFromDarknet</a></span>(java.lang.String&nbsp;cfgFile,
    679. 

  679.                   java.lang.String&nbsp;darknetModel)</code>
    680. 

  680. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    681. 

  681. </td>
    682. 

  682. </tr>
    683. 

  683. <tr id="i48" class="altColor">
    684. 

  684. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    685. 

  685. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromModelOptimizer-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromModelOptimizer</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModelConfig,
    686. 

  686.                          <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferWeights)</code>
    687. 

  687. <div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
    688. 

  688. </td>
    689. 

  689. </tr>
    690. 

  690. <tr id="i49" class="rowColor">
    691. 

  691. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    692. 

  692. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromModelOptimizer-java.lang.String-java.lang.String-">readNetFromModelOptimizer</a></span>(java.lang.String&nbsp;xml,
    693. 

  693.                          java.lang.String&nbsp;bin)</code>
    694. 

  694. <div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
    695. 

  695. </td>
    696. 

  696. </tr>
    697. 

  697. <tr id="i50" class="altColor">
    698. 

  698. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    699. 

  699. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromONNX-org.opencv.core.MatOfByte-">readNetFromONNX</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;buffer)</code>
    700. 

  700. <div class="block">Reads a network model from &lt;a href="https://onnx.ai/"&gt;ONNX&lt;/a&gt;
    701. 

  701.  in-memory buffer.</div>
    702. 

  702. </td>
    703. 

  703. </tr>
    704. 

  704. <tr id="i51" class="rowColor">
    705. 

  705. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    706. 

  706. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromONNX-java.lang.String-">readNetFromONNX</a></span>(java.lang.String&nbsp;onnxFile)</code>
    707. 

  707. <div class="block">Reads a network model &lt;a href="https://onnx.ai/"&gt;ONNX&lt;/a&gt;.</div>
    708. 

  708. </td>
    709. 

  709. </tr>
    710. 

  710. <tr id="i52" class="altColor">
    711. 

  711. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    712. 

  712. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-org.opencv.core.MatOfByte-">readNetFromTensorflow</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</code>
    713. 

  713. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    714. 

  714. </td>
    715. 

  715. </tr>
    716. 

  716. <tr id="i53" class="rowColor">
    717. 

  717. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    718. 

  718. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">readNetFromTensorflow</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel,
    719. 

  719.                      <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferConfig)</code>
    720. 

  720. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    721. 

  721. </td>
    722. 

  722. </tr>
    723. 

  723. <tr id="i54" class="altColor">
    724. 

  724. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    725. 

  725. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-java.lang.String-">readNetFromTensorflow</a></span>(java.lang.String&nbsp;model)</code>
    726. 

  726. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    727. 

  727. </td>
    728. 

  728. </tr>
    729. 

  729. <tr id="i55" class="rowColor">
    730. 

  730. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    731. 

  731. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTensorflow-java.lang.String-java.lang.String-">readNetFromTensorflow</a></span>(java.lang.String&nbsp;model,
    732. 

  732.                      java.lang.String&nbsp;config)</code>
    733. 

  733. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    734. 

  734. </td>
    735. 

  735. </tr>
    736. 

  736. <tr id="i56" class="altColor">
    737. 

  737. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    738. 

  738. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTFLite-org.opencv.core.MatOfByte-">readNetFromTFLite</a></span>(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</code>
    739. 

  739. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/lite"&gt;TFLite&lt;/a&gt; framework's format.</div>
    740. 

  740. </td>
    741. 

  741. </tr>
    742. 

  742. <tr id="i57" class="rowColor">
    743. 

  743. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    744. 

  744. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTFLite-java.lang.String-">readNetFromTFLite</a></span>(java.lang.String&nbsp;model)</code>
    745. 

  745. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/lite"&gt;TFLite&lt;/a&gt; framework's format.</div>
    746. 

  746. </td>
    747. 

  747. </tr>
    748. 

  748. <tr id="i58" class="altColor">
    749. 

  749. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    750. 

  750. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTorch-java.lang.String-">readNetFromTorch</a></span>(java.lang.String&nbsp;model)</code>
    751. 

  751. <div class="block">Reads a network model stored in &lt;a href="http://torch.ch"&gt;Torch7&lt;/a&gt; framework's format.</div>
    752. 

  752. </td>
    753. 

  753. </tr>
    754. 

  754. <tr id="i59" class="rowColor">
    755. 

  755. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    756. 

  756. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTorch-java.lang.String-boolean-">readNetFromTorch</a></span>(java.lang.String&nbsp;model,
    757. 

  757.                 boolean&nbsp;isBinary)</code>
    758. 

  758. <div class="block">Reads a network model stored in &lt;a href="http://torch.ch"&gt;Torch7&lt;/a&gt; framework's format.</div>
    759. 

  759. </td>
    760. 

  760. </tr>
    761. 

  761. <tr id="i60" class="altColor">
    762. 

  762. <td class="colFirst"><code>static <a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a></code></td>
    763. 

  763. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readNetFromTorch-java.lang.String-boolean-boolean-">readNetFromTorch</a></span>(java.lang.String&nbsp;model,
    764. 

  764.                 boolean&nbsp;isBinary,
    765. 

  765.                 boolean&nbsp;evaluate)</code>
    766. 

  766. <div class="block">Reads a network model stored in &lt;a href="http://torch.ch"&gt;Torch7&lt;/a&gt; framework's format.</div>
    767. 

  767. </td>
    768. 

  768. </tr>
    769. 

  769. <tr id="i61" class="rowColor">
    770. 

  770. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    771. 

  771. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readTensorFromONNX-java.lang.String-">readTensorFromONNX</a></span>(java.lang.String&nbsp;path)</code>
    772. 

  772. <div class="block">Creates blob from .pb file.</div>
    773. 

  773. </td>
    774. 

  774. </tr>
    775. 

  775. <tr id="i62" class="altColor">
    776. 

  776. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    777. 

  777. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readTorchBlob-java.lang.String-">readTorchBlob</a></span>(java.lang.String&nbsp;filename)</code>
    778. 

  778. <div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.</div>
    779. 

  779. </td>
    780. 

  780. </tr>
    781. 

  781. <tr id="i63" class="rowColor">
    782. 

  782. <td class="colFirst"><code>static <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a></code></td>
    783. 

  783. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#readTorchBlob-java.lang.String-boolean-">readTorchBlob</a></span>(java.lang.String&nbsp;filename,
    784. 

  784.              boolean&nbsp;isBinary)</code>
    785. 

  785. <div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.</div>
    786. 

  786. </td>
    787. 

  787. </tr>
    788. 

  788. <tr id="i64" class="altColor">
    789. 

  789. <td class="colFirst"><code>static void</code></td>
    790. 

  790. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#releaseHDDLPlugin--">releaseHDDLPlugin</a></span>()</code>
    791. 

  791. <div class="block">Release a HDDL plugin.</div>
    792. 

  792. </td>
    793. 

  793. </tr>
    794. 

  794. <tr id="i65" class="rowColor">
    795. 

  795. <td class="colFirst"><code>static void</code></td>
    796. 

  796. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#resetMyriadDevice--">resetMyriadDevice</a></span>()</code>
    797. 

  797. <div class="block">Release a Myriad device (binded by OpenCV).</div>
    798. 

  798. </td>
    799. 

  799. </tr>
    800. 

  800. <tr id="i66" class="altColor">
    801. 

  801. <td class="colFirst"><code>static void</code></td>
    802. 

  802. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#shrinkCaffeModel-java.lang.String-java.lang.String-">shrinkCaffeModel</a></span>(java.lang.String&nbsp;src,
    803. 

  803.                 java.lang.String&nbsp;dst)</code>
    804. 

  804. <div class="block">Convert all weights of Caffe network to half precision floating point.</div>
    805. 

  805. </td>
    806. 

  806. </tr>
    807. 

  807. <tr id="i67" class="rowColor">
    808. 

  808. <td class="colFirst"><code>static void</code></td>
    809. 

  809. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#shrinkCaffeModel-java.lang.String-java.lang.String-java.util.List-">shrinkCaffeModel</a></span>(java.lang.String&nbsp;src,
    810. 

  810.                 java.lang.String&nbsp;dst,
    811. 

  811.                 java.util.List&lt;java.lang.String&gt;&nbsp;layersTypes)</code>
    812. 

  812. <div class="block">Convert all weights of Caffe network to half precision floating point.</div>
    813. 

  813. </td>
    814. 

  814. </tr>
    815. 

  815. <tr id="i68" class="altColor">
    816. 

  816. <td class="colFirst"><code>static void</code></td>
    817. 

  817. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">softNMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a>&nbsp;bboxes,
    818. 

  818.             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    819. 

  819.             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;updated_scores,
    820. 

  820.             float&nbsp;score_threshold,
    821. 

  821.             float&nbsp;nms_threshold,
    822. 

  822.             <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</code>
    823. 

  823. <div class="block">Performs soft non maximum suppression given boxes and corresponding scores.</div>
    824. 

  824. </td>
    825. 

  825. </tr>
    826. 

  826. <tr id="i69" class="rowColor">
    827. 

  827. <td class="colFirst"><code>static void</code></td>
    828. 

  828. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-">softNMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a>&nbsp;bboxes,
    829. 

  829.             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    830. 

  830.             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;updated_scores,
    831. 

  831.             float&nbsp;score_threshold,
    832. 

  832.             float&nbsp;nms_threshold,
    833. 

  833.             <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    834. 

  834.             long&nbsp;top_k)</code>
    835. 

  835. <div class="block">Performs soft non maximum suppression given boxes and corresponding scores.</div>
    836. 

  836. </td>
    837. 

  837. </tr>
    838. 

  838. <tr id="i70" class="altColor">
    839. 

  839. <td class="colFirst"><code>static void</code></td>
    840. 

  840. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-float-">softNMSBoxes</a></span>(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a>&nbsp;bboxes,
    841. 

  841.             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    842. 

  842.             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;updated_scores,
    843. 

  843.             float&nbsp;score_threshold,
    844. 

  844.             float&nbsp;nms_threshold,
    845. 

  845.             <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    846. 

  846.             long&nbsp;top_k,
    847. 

  847.             float&nbsp;sigma)</code>
    848. 

  848. <div class="block">Performs soft non maximum suppression given boxes and corresponding scores.</div>
    849. 

  849. </td>
    850. 

  850. </tr>
    851. 

  851. <tr id="i71" class="rowColor">
    852. 

  852. <td class="colFirst"><code>static void</code></td>
    853. 

  853. <td class="colLast"><code><span class="memberNameLink"><a href="../../../org/opencv/dnn/Dnn.html#writeTextGraph-java.lang.String-java.lang.String-">writeTextGraph</a></span>(java.lang.String&nbsp;model,
    854. 

  854.               java.lang.String&nbsp;output)</code>
    855. 

  855. <div class="block">Create a text representation for a binary network stored in protocol buffer format.</div>
    856. 

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    857. 

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    858. 

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  863. <h3>Methods inherited from class&nbsp;java.lang.Object</h3>
    864. 

  864. <code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
    865. 

  865. </ul>
    866. 

  866. </li>
    867. 

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  868. </li>
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  879. <h3>Field Detail</h3>
    880. 

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    886. 

  886. <pre>public static final&nbsp;int DNN_BACKEND_CANN</pre>
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  887. <dl>
    888. 

  888. <dt><span class="seeLabel">See Also:</span></dt>
    889. 

  889. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_CANN">Constant Field Values</a></dd>
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    901. 

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    902. 

  902. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_CUDA">Constant Field Values</a></dd>
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    915. 

  915. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_DEFAULT">Constant Field Values</a></dd>
    916. 

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    925. 

  925. <pre>public static final&nbsp;int DNN_BACKEND_HALIDE</pre>
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    928. 

  928. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_HALIDE">Constant Field Values</a></dd>
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    938. 

  938. <pre>public static final&nbsp;int DNN_BACKEND_INFERENCE_ENGINE</pre>
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  939. <dl>
    940. 

  940. <dt><span class="seeLabel">See Also:</span></dt>
    941. 

  941. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_INFERENCE_ENGINE">Constant Field Values</a></dd>
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    943. 

  943. </li>
    944. 

  944. </ul>
    945. 

  945. <a name="DNN_BACKEND_OPENCV">
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    951. 

  951. <pre>public static final&nbsp;int DNN_BACKEND_OPENCV</pre>
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  952. <dl>
    953. 

  953. <dt><span class="seeLabel">See Also:</span></dt>
    954. 

  954. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_OPENCV">Constant Field Values</a></dd>
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    958. 

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    964. 

  964. <pre>public static final&nbsp;int DNN_BACKEND_TIMVX</pre>
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    966. 

  966. <dt><span class="seeLabel">See Also:</span></dt>
    967. 

  967. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_TIMVX">Constant Field Values</a></dd>
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  979. <dt><span class="seeLabel">See Also:</span></dt>
    980. 

  980. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_VKCOM">Constant Field Values</a></dd>
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    993. 

  993. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_BACKEND_WEBNN">Constant Field Values</a></dd>
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  1006. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_LAYOUT_NCDHW">Constant Field Values</a></dd>
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    1019. 

  1019. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_LAYOUT_NCHW">Constant Field Values</a></dd>
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  1029. <pre>public static final&nbsp;int DNN_LAYOUT_ND</pre>
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    1032. 

  1032. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_LAYOUT_ND">Constant Field Values</a></dd>
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  1042. <pre>public static final&nbsp;int DNN_LAYOUT_NDHWC</pre>
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  1044. <dt><span class="seeLabel">See Also:</span></dt>
    1045. 

  1045. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_LAYOUT_NDHWC">Constant Field Values</a></dd>
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  1055. <pre>public static final&nbsp;int DNN_LAYOUT_NHWC</pre>
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    1058. 

  1058. <dd><a href="../../../constant-values.html#org.opencv.dnn.Dnn.DNN_LAYOUT_NHWC">Constant Field Values</a></dd>
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  1310. <pre>public&nbsp;Dnn()</pre>
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    1327. 

  1327. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image)</pre>
    1328. 

  1328. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1329. 

  1329.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1330. 

  1330. <dl>
    1331. 

  1331. <dt><span class="paramLabel">Parameters:</span></dt>
    1332. 

  1332. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).
    1333. 

  1333.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
    1334. 

  1334.  in 3-channel image is necessary.
    1335. 

  1335.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1336. 

  1336.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1337. 

  1337.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1338. 

  1338. <dt><span class="returnLabel">Returns:</span></dt>
    1339. 

  1339. <dd>4-dimensional Mat with NCHW dimensions order.
    1340. 

  1340. 

  1341.  <b>Note:</b>
    1342. 

  1342.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1343. 

  1343. </dl>
    1344. 

  1344. </li>
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  1351. <h4>blobFromImage</h4>
    1352. 

  1352. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1353. 

  1353.                                 double&nbsp;scalefactor)</pre>
    1354. 

  1354. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1355. 

  1355.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1356. 

  1356. <dl>
    1357. 

  1357. <dt><span class="paramLabel">Parameters:</span></dt>
    1358. 

  1358. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
    1359. 

  1359. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.
    1360. 

  1360.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
    1361. 

  1361.  in 3-channel image is necessary.
    1362. 

  1362.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1363. 

  1363.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1364. 

  1364.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1365. 

  1365. <dt><span class="returnLabel">Returns:</span></dt>
    1366. 

  1366. <dd>4-dimensional Mat with NCHW dimensions order.
    1367. 

  1367. 

  1368.  <b>Note:</b>
    1369. 

  1369.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1370. 

  1370. </dl>
    1371. 

  1371. </li>
    1372. 

  1372. </ul>
    1373. 

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    1374. 

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  1378. <h4>blobFromImage</h4>
    1379. 

  1379. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1380. 

  1380.                                 double&nbsp;scalefactor,
    1381. 

  1381.                                 <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size)</pre>
    1382. 

  1382. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1383. 

  1383.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1384. 

  1384. <dl>
    1385. 

  1385. <dt><span class="paramLabel">Parameters:</span></dt>
    1386. 

  1386. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
    1387. 

  1387. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1388. 

  1388. <dd><code>size</code> - spatial size for output image
    1389. 

  1389.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
    1390. 

  1390.  in 3-channel image is necessary.
    1391. 

  1391.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1392. 

  1392.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1393. 

  1393.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1394. 

  1394. <dt><span class="returnLabel">Returns:</span></dt>
    1395. 

  1395. <dd>4-dimensional Mat with NCHW dimensions order.
    1396. 

  1396. 

  1397.  <b>Note:</b>
    1398. 

  1398.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1399. 

  1399. </dl>
    1400. 

  1400. </li>
    1401. 

  1401. </ul>
    1402. 

  1402. <a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-">
    1403. 

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    1407. 

  1407. <h4>blobFromImage</h4>
    1408. 

  1408. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1409. 

  1409.                                 double&nbsp;scalefactor,
    1410. 

  1410.                                 <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1411. 

  1411.                                 <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean)</pre>
    1412. 

  1412. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1413. 

  1413.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1414. 

  1414. <dl>
    1415. 

  1415. <dt><span class="paramLabel">Parameters:</span></dt>
    1416. 

  1416. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
    1417. 

  1417. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1418. 

  1418. <dd><code>size</code> - spatial size for output image</dd>
    1419. 

  1419. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1420. 

  1420.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
    1421. 

  1421.  in 3-channel image is necessary.
    1422. 

  1422.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1423. 

  1423.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1424. 

  1424.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1425. 

  1425. <dt><span class="returnLabel">Returns:</span></dt>
    1426. 

  1426. <dd>4-dimensional Mat with NCHW dimensions order.
    1427. 

  1427. 

  1428.  <b>Note:</b>
    1429. 

  1429.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1430. 

  1430. </dl>
    1431. 

  1431. </li>
    1432. 

  1432. </ul>
    1433. 

  1433. <a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">
    1434. 

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    1438. 

  1438. <h4>blobFromImage</h4>
    1439. 

  1439. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1440. 

  1440.                                 double&nbsp;scalefactor,
    1441. 

  1441.                                 <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1442. 

  1442.                                 <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    1443. 

  1443.                                 boolean&nbsp;swapRB)</pre>
    1444. 

  1444. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1445. 

  1445.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1446. 

  1446. <dl>
    1447. 

  1447. <dt><span class="paramLabel">Parameters:</span></dt>
    1448. 

  1448. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
    1449. 

  1449. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1450. 

  1450. <dd><code>size</code> - spatial size for output image</dd>
    1451. 

  1451. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1452. 

  1452.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1453. 

  1453. <dd><code>swapRB</code> - flag which indicates that swap first and last channels
    1454. 

  1454.  in 3-channel image is necessary.
    1455. 

  1455.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1456. 

  1456.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1457. 

  1457.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1458. 

  1458. <dt><span class="returnLabel">Returns:</span></dt>
    1459. 

  1459. <dd>4-dimensional Mat with NCHW dimensions order.
    1460. 

  1460. 

  1461.  <b>Note:</b>
    1462. 

  1462.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1463. 

  1463. </dl>
    1464. 

  1464. </li>
    1465. 

  1465. </ul>
    1466. 

  1466. <a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">
    1467. 

  1467. <!--   -->
    1468. 

  1468. </a>
    1469. 

  1469. <ul class="blockList">
    1470. 

  1470. <li class="blockList">
    1471. 

  1471. <h4>blobFromImage</h4>
    1472. 

  1472. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1473. 

  1473.                                 double&nbsp;scalefactor,
    1474. 

  1474.                                 <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1475. 

  1475.                                 <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    1476. 

  1476.                                 boolean&nbsp;swapRB,
    1477. 

  1477.                                 boolean&nbsp;crop)</pre>
    1478. 

  1478. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1479. 

  1479.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1480. 

  1480. <dl>
    1481. 

  1481. <dt><span class="paramLabel">Parameters:</span></dt>
    1482. 

  1482. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
    1483. 

  1483. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1484. 

  1484. <dd><code>size</code> - spatial size for output image</dd>
    1485. 

  1485. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1486. 

  1486.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1487. 

  1487. <dd><code>swapRB</code> - flag which indicates that swap first and last channels
    1488. 

  1488.  in 3-channel image is necessary.</dd>
    1489. 

  1489. <dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not
    1490. 

  1490.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1491. 

  1491.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1492. 

  1492.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1493. 

  1493. <dt><span class="returnLabel">Returns:</span></dt>
    1494. 

  1494. <dd>4-dimensional Mat with NCHW dimensions order.
    1495. 

  1495. 

  1496.  <b>Note:</b>
    1497. 

  1497.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1498. 

  1498. </dl>
    1499. 

  1499. </li>
    1500. 

  1500. </ul>
    1501. 

  1501. <a name="blobFromImage-org.opencv.core.Mat-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">
    1502. 

  1502. <!--   -->
    1503. 

  1503. </a>
    1504. 

  1504. <ul class="blockList">
    1505. 

  1505. <li class="blockList">
    1506. 

  1506. <h4>blobFromImage</h4>
    1507. 

  1507. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImage(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1508. 

  1508.                                 double&nbsp;scalefactor,
    1509. 

  1509.                                 <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1510. 

  1510.                                 <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    1511. 

  1511.                                 boolean&nbsp;swapRB,
    1512. 

  1512.                                 boolean&nbsp;crop,
    1513. 

  1513.                                 int&nbsp;ddepth)</pre>
    1514. 

  1514. <div class="block">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center,
    1515. 

  1515.  subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.</div>
    1516. 

  1516. <dl>
    1517. 

  1517. <dt><span class="paramLabel">Parameters:</span></dt>
    1518. 

  1518. <dd><code>image</code> - input image (with 1-, 3- or 4-channels).</dd>
    1519. 

  1519. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1520. 

  1520. <dd><code>size</code> - spatial size for output image</dd>
    1521. 

  1521. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1522. 

  1522.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1523. 

  1523. <dd><code>swapRB</code> - flag which indicates that swap first and last channels
    1524. 

  1524.  in 3-channel image is necessary.</dd>
    1525. 

  1525. <dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not</dd>
    1526. 

  1526. <dd><code>ddepth</code> - Depth of output blob. Choose CV_32F or CV_8U.
    1527. 

  1527.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1528. 

  1528.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1529. 

  1529.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1530. 

  1530. <dt><span class="returnLabel">Returns:</span></dt>
    1531. 

  1531. <dd>4-dimensional Mat with NCHW dimensions order.
    1532. 

  1532. 

  1533.  <b>Note:</b>
    1534. 

  1534.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1535. 

  1535. </dl>
    1536. 

  1536. </li>
    1537. 

  1537. </ul>
    1538. 

  1538. <a name="blobFromImages-java.util.List-">
    1539. 

  1539. <!--   -->
    1540. 

  1540. </a>
    1541. 

  1541. <ul class="blockList">
    1542. 

  1542. <li class="blockList">
    1543. 

  1543. <h4>blobFromImages</h4>
    1544. 

  1544. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images)</pre>
    1545. 

  1545. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1546. 

  1546.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1547. 

  1547.  swap Blue and Red channels.</div>
    1548. 

  1548. <dl>
    1549. 

  1549. <dt><span class="paramLabel">Parameters:</span></dt>
    1550. 

  1550. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).
    1551. 

  1551.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.
    1552. 

  1552.  in 3-channel image is necessary.
    1553. 

  1553.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1554. 

  1554.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1555. 

  1555.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1556. 

  1556. <dt><span class="returnLabel">Returns:</span></dt>
    1557. 

  1557. <dd>4-dimensional Mat with NCHW dimensions order.
    1558. 

  1558. 

  1559.  <b>Note:</b>
    1560. 

  1560.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1561. 

  1561. </dl>
    1562. 

  1562. </li>
    1563. 

  1563. </ul>
    1564. 

  1564. <a name="blobFromImages-java.util.List-double-">
    1565. 

  1565. <!--   -->
    1566. 

  1566. </a>
    1567. 

  1567. <ul class="blockList">
    1568. 

  1568. <li class="blockList">
    1569. 

  1569. <h4>blobFromImages</h4>
    1570. 

  1570. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1571. 

  1571.                                  double&nbsp;scalefactor)</pre>
    1572. 

  1572. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1573. 

  1573.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1574. 

  1574.  swap Blue and Red channels.</div>
    1575. 

  1575. <dl>
    1576. 

  1576. <dt><span class="paramLabel">Parameters:</span></dt>
    1577. 

  1577. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).
    1578. 

  1578.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1579. 

  1579. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.
    1580. 

  1580.  in 3-channel image is necessary.
    1581. 

  1581.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1582. 

  1582.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1583. 

  1583.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1584. 

  1584. <dt><span class="returnLabel">Returns:</span></dt>
    1585. 

  1585. <dd>4-dimensional Mat with NCHW dimensions order.
    1586. 

  1586. 

  1587.  <b>Note:</b>
    1588. 

  1588.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1589. 

  1589. </dl>
    1590. 

  1590. </li>
    1591. 

  1591. </ul>
    1592. 

  1592. <a name="blobFromImages-java.util.List-double-org.opencv.core.Size-">
    1593. 

  1593. <!--   -->
    1594. 

  1594. </a>
    1595. 

  1595. <ul class="blockList">
    1596. 

  1596. <li class="blockList">
    1597. 

  1597. <h4>blobFromImages</h4>
    1598. 

  1598. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1599. 

  1599.                                  double&nbsp;scalefactor,
    1600. 

  1600.                                  <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size)</pre>
    1601. 

  1601. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1602. 

  1602.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1603. 

  1603.  swap Blue and Red channels.</div>
    1604. 

  1604. <dl>
    1605. 

  1605. <dt><span class="paramLabel">Parameters:</span></dt>
    1606. 

  1606. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
    1607. 

  1607. <dd><code>size</code> - spatial size for output image
    1608. 

  1608.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1609. 

  1609. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.
    1610. 

  1610.  in 3-channel image is necessary.
    1611. 

  1611.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1612. 

  1612.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1613. 

  1613.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1614. 

  1614. <dt><span class="returnLabel">Returns:</span></dt>
    1615. 

  1615. <dd>4-dimensional Mat with NCHW dimensions order.
    1616. 

  1616. 

  1617.  <b>Note:</b>
    1618. 

  1618.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1619. 

  1619. </dl>
    1620. 

  1620. </li>
    1621. 

  1621. </ul>
    1622. 

  1622. <a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-">
    1623. 

  1623. <!--   -->
    1624. 

  1624. </a>
    1625. 

  1625. <ul class="blockList">
    1626. 

  1626. <li class="blockList">
    1627. 

  1627. <h4>blobFromImages</h4>
    1628. 

  1628. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1629. 

  1629.                                  double&nbsp;scalefactor,
    1630. 

  1630.                                  <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1631. 

  1631.                                  <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean)</pre>
    1632. 

  1632. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1633. 

  1633.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1634. 

  1634.  swap Blue and Red channels.</div>
    1635. 

  1635. <dl>
    1636. 

  1636. <dt><span class="paramLabel">Parameters:</span></dt>
    1637. 

  1637. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
    1638. 

  1638. <dd><code>size</code> - spatial size for output image</dd>
    1639. 

  1639. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1640. 

  1640.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1641. 

  1641. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.
    1642. 

  1642.  in 3-channel image is necessary.
    1643. 

  1643.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1644. 

  1644.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1645. 

  1645.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1646. 

  1646. <dt><span class="returnLabel">Returns:</span></dt>
    1647. 

  1647. <dd>4-dimensional Mat with NCHW dimensions order.
    1648. 

  1648. 

  1649.  <b>Note:</b>
    1650. 

  1650.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1651. 

  1651. </dl>
    1652. 

  1652. </li>
    1653. 

  1653. </ul>
    1654. 

  1654. <a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-">
    1655. 

  1655. <!--   -->
    1656. 

  1656. </a>
    1657. 

  1657. <ul class="blockList">
    1658. 

  1658. <li class="blockList">
    1659. 

  1659. <h4>blobFromImages</h4>
    1660. 

  1660. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1661. 

  1661.                                  double&nbsp;scalefactor,
    1662. 

  1662.                                  <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1663. 

  1663.                                  <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    1664. 

  1664.                                  boolean&nbsp;swapRB)</pre>
    1665. 

  1665. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1666. 

  1666.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1667. 

  1667.  swap Blue and Red channels.</div>
    1668. 

  1668. <dl>
    1669. 

  1669. <dt><span class="paramLabel">Parameters:</span></dt>
    1670. 

  1670. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
    1671. 

  1671. <dd><code>size</code> - spatial size for output image</dd>
    1672. 

  1672. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1673. 

  1673.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1674. 

  1674. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1675. 

  1675. <dd><code>swapRB</code> - flag which indicates that swap first and last channels
    1676. 

  1676.  in 3-channel image is necessary.
    1677. 

  1677.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1678. 

  1678.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1679. 

  1679.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1680. 

  1680. <dt><span class="returnLabel">Returns:</span></dt>
    1681. 

  1681. <dd>4-dimensional Mat with NCHW dimensions order.
    1682. 

  1682. 

  1683.  <b>Note:</b>
    1684. 

  1684.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1685. 

  1685. </dl>
    1686. 

  1686. </li>
    1687. 

  1687. </ul>
    1688. 

  1688. <a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-">
    1689. 

  1689. <!--   -->
    1690. 

  1690. </a>
    1691. 

  1691. <ul class="blockList">
    1692. 

  1692. <li class="blockList">
    1693. 

  1693. <h4>blobFromImages</h4>
    1694. 

  1694. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1695. 

  1695.                                  double&nbsp;scalefactor,
    1696. 

  1696.                                  <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1697. 

  1697.                                  <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    1698. 

  1698.                                  boolean&nbsp;swapRB,
    1699. 

  1699.                                  boolean&nbsp;crop)</pre>
    1700. 

  1700. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1701. 

  1701.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1702. 

  1702.  swap Blue and Red channels.</div>
    1703. 

  1703. <dl>
    1704. 

  1704. <dt><span class="paramLabel">Parameters:</span></dt>
    1705. 

  1705. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
    1706. 

  1706. <dd><code>size</code> - spatial size for output image</dd>
    1707. 

  1707. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1708. 

  1708.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1709. 

  1709. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1710. 

  1710. <dd><code>swapRB</code> - flag which indicates that swap first and last channels
    1711. 

  1711.  in 3-channel image is necessary.</dd>
    1712. 

  1712. <dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not
    1713. 

  1713.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1714. 

  1714.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1715. 

  1715.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1716. 

  1716. <dt><span class="returnLabel">Returns:</span></dt>
    1717. 

  1717. <dd>4-dimensional Mat with NCHW dimensions order.
    1718. 

  1718. 

  1719.  <b>Note:</b>
    1720. 

  1720.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1721. 

  1721. </dl>
    1722. 

  1722. </li>
    1723. 

  1723. </ul>
    1724. 

  1724. <a name="blobFromImages-java.util.List-double-org.opencv.core.Size-org.opencv.core.Scalar-boolean-boolean-int-">
    1725. 

  1725. <!--   -->
    1726. 

  1726. </a>
    1727. 

  1727. <ul class="blockList">
    1728. 

  1728. <li class="blockList">
    1729. 

  1729. <h4>blobFromImages</h4>
    1730. 

  1730. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImages(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1731. 

  1731.                                  double&nbsp;scalefactor,
    1732. 

  1732.                                  <a href="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</a>&nbsp;size,
    1733. 

  1733.                                  <a href="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</a>&nbsp;mean,
    1734. 

  1734.                                  boolean&nbsp;swapRB,
    1735. 

  1735.                                  boolean&nbsp;crop,
    1736. 

  1736.                                  int&nbsp;ddepth)</pre>
    1737. 

  1737. <div class="block">Creates 4-dimensional blob from series of images. Optionally resizes and
    1738. 

  1738.  crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>,
    1739. 

  1739.  swap Blue and Red channels.</div>
    1740. 

  1740. <dl>
    1741. 

  1741. <dt><span class="paramLabel">Parameters:</span></dt>
    1742. 

  1742. <dd><code>images</code> - input images (all with 1-, 3- or 4-channels).</dd>
    1743. 

  1743. <dd><code>size</code> - spatial size for output image</dd>
    1744. 

  1744. <dd><code>mean</code> - scalar with mean values which are subtracted from channels. Values are intended
    1745. 

  1745.  to be in (mean-R, mean-G, mean-B) order if <code>image</code> has BGR ordering and <code>swapRB</code> is true.</dd>
    1746. 

  1746. <dd><code>scalefactor</code> - multiplier for <code>images</code> values.</dd>
    1747. 

  1747. <dd><code>swapRB</code> - flag which indicates that swap first and last channels
    1748. 

  1748.  in 3-channel image is necessary.</dd>
    1749. 

  1749. <dd><code>crop</code> - flag which indicates whether image will be cropped after resize or not</dd>
    1750. 

  1750. <dd><code>ddepth</code> - Depth of output blob. Choose CV_32F or CV_8U.
    1751. 

  1751.  if <code>crop</code> is true, input image is resized so one side after resize is equal to corresponding
    1752. 

  1752.  dimension in <code>size</code> and another one is equal or larger. Then, crop from the center is performed.
    1753. 

  1753.  If <code>crop</code> is false, direct resize without cropping and preserving aspect ratio is performed.</dd>
    1754. 

  1754. <dt><span class="returnLabel">Returns:</span></dt>
    1755. 

  1755. <dd>4-dimensional Mat with NCHW dimensions order.
    1756. 

  1756. 

  1757.  <b>Note:</b>
    1758. 

  1758.  The order and usage of <code>scalefactor</code> and <code>mean</code> are (input - mean) * scalefactor.</dd>
    1759. 

  1759. </dl>
    1760. 

  1760. </li>
    1761. 

  1761. </ul>
    1762. 

  1762. <a name="blobFromImagesWithParams-java.util.List-">
    1763. 

  1763. <!--   -->
    1764. 

  1764. </a>
    1765. 

  1765. <ul class="blockList">
    1766. 

  1766. <li class="blockList">
    1767. 

  1767. <h4>blobFromImagesWithParams</h4>
    1768. 

  1768. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImagesWithParams(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images)</pre>
    1769. 

  1769. <div class="block">Creates 4-dimensional blob from series of images with given params.
    1770. 

  1770. 

  1771.  This function is an extension of REF: blobFromImages to meet more image preprocess needs.
    1772. 

  1772.  Given input image and preprocessing parameters, and function outputs the blob.</div>
    1773. 

  1773. <dl>
    1774. 

  1774. <dt><span class="paramLabel">Parameters:</span></dt>
    1775. 

  1775. <dd><code>images</code> - input image (all with 1-, 3- or 4-channels).</dd>
    1776. 

  1776. <dt><span class="returnLabel">Returns:</span></dt>
    1777. 

  1777. <dd>4-dimensional Mat.</dd>
    1778. 

  1778. </dl>
    1779. 

  1779. </li>
    1780. 

  1780. </ul>
    1781. 

  1781. <a name="blobFromImagesWithParams-java.util.List-org.opencv.dnn.Image2BlobParams-">
    1782. 

  1782. <!--   -->
    1783. 

  1783. </a>
    1784. 

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    1785. 

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    1786. 

  1786. <h4>blobFromImagesWithParams</h4>
    1787. 

  1787. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImagesWithParams(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1788. 

  1788.                                            <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</pre>
    1789. 

  1789. <div class="block">Creates 4-dimensional blob from series of images with given params.
    1790. 

  1790. 

  1791.  This function is an extension of REF: blobFromImages to meet more image preprocess needs.
    1792. 

  1792.  Given input image and preprocessing parameters, and function outputs the blob.</div>
    1793. 

  1793. <dl>
    1794. 

  1794. <dt><span class="paramLabel">Parameters:</span></dt>
    1795. 

  1795. <dd><code>images</code> - input image (all with 1-, 3- or 4-channels).</dd>
    1796. 

  1796. <dd><code>param</code> - struct of Image2BlobParams, contains all parameters needed by processing of image to blob.</dd>
    1797. 

  1797. <dt><span class="returnLabel">Returns:</span></dt>
    1798. 

  1798. <dd>4-dimensional Mat.</dd>
    1799. 

  1799. </dl>
    1800. 

  1800. </li>
    1801. 

  1801. </ul>
    1802. 

  1802. <a name="blobFromImagesWithParams-java.util.List-org.opencv.core.Mat-">
    1803. 

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    1804. 

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    1806. 

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    1807. 

  1807. <h4>blobFromImagesWithParams</h4>
    1808. 

  1808. <pre>public static&nbsp;void&nbsp;blobFromImagesWithParams(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1809. 

  1809.                                             <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob)</pre>
    1810. 

  1810. </li>
    1811. 

  1811. </ul>
    1812. 

  1812. <a name="blobFromImagesWithParams-java.util.List-org.opencv.core.Mat-org.opencv.dnn.Image2BlobParams-">
    1813. 

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    1817. 

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    1818. 

  1818. <pre>public static&nbsp;void&nbsp;blobFromImagesWithParams(java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images,
    1819. 

  1819.                                             <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob,
    1820. 

  1820.                                             <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</pre>
    1821. 

  1821. </li>
    1822. 

  1822. </ul>
    1823. 

  1823. <a name="blobFromImageWithParams-org.opencv.core.Mat-">
    1824. 

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    1825. 

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  1828. <h4>blobFromImageWithParams</h4>
    1829. 

  1829. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImageWithParams(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image)</pre>
    1830. 

  1830. <div class="block">Creates 4-dimensional blob from image with given params.
    1831. 

  1831. 

  1832.  This function is an extension of REF: blobFromImage to meet more image preprocess needs.
    1833. 

  1833.  Given input image and preprocessing parameters, and function outputs the blob.</div>
    1834. 

  1834. <dl>
    1835. 

  1835. <dt><span class="paramLabel">Parameters:</span></dt>
    1836. 

  1836. <dd><code>image</code> - input image (all with 1-, 3- or 4-channels).</dd>
    1837. 

  1837. <dt><span class="returnLabel">Returns:</span></dt>
    1838. 

  1838. <dd>4-dimensional Mat.</dd>
    1839. 

  1839. </dl>
    1840. 

  1840. </li>
    1841. 

  1841. </ul>
    1842. 

  1842. <a name="blobFromImageWithParams-org.opencv.core.Mat-org.opencv.dnn.Image2BlobParams-">
    1843. 

  1843. <!--   -->
    1844. 

  1844. </a>
    1845. 

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    1846. 

  1846. <li class="blockList">
    1847. 

  1847. <h4>blobFromImageWithParams</h4>
    1848. 

  1848. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blobFromImageWithParams(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1849. 

  1849.                                           <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</pre>
    1850. 

  1850. <div class="block">Creates 4-dimensional blob from image with given params.
    1851. 

  1851. 

  1852.  This function is an extension of REF: blobFromImage to meet more image preprocess needs.
    1853. 

  1853.  Given input image and preprocessing parameters, and function outputs the blob.</div>
    1854. 

  1854. <dl>
    1855. 

  1855. <dt><span class="paramLabel">Parameters:</span></dt>
    1856. 

  1856. <dd><code>image</code> - input image (all with 1-, 3- or 4-channels).</dd>
    1857. 

  1857. <dd><code>param</code> - struct of Image2BlobParams, contains all parameters needed by processing of image to blob.</dd>
    1858. 

  1858. <dt><span class="returnLabel">Returns:</span></dt>
    1859. 

  1859. <dd>4-dimensional Mat.</dd>
    1860. 

  1860. </dl>
    1861. 

  1861. </li>
    1862. 

  1862. </ul>
    1863. 

  1863. <a name="blobFromImageWithParams-org.opencv.core.Mat-org.opencv.core.Mat-">
    1864. 

  1864. <!--   -->
    1865. 

  1865. </a>
    1866. 

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    1867. 

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    1868. 

  1868. <h4>blobFromImageWithParams</h4>
    1869. 

  1869. <pre>public static&nbsp;void&nbsp;blobFromImageWithParams(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1870. 

  1870.                                            <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob)</pre>
    1871. 

  1871. </li>
    1872. 

  1872. </ul>
    1873. 

  1873. <a name="blobFromImageWithParams-org.opencv.core.Mat-org.opencv.core.Mat-org.opencv.dnn.Image2BlobParams-">
    1874. 

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    1875. 

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    1877. 

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    1878. 

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    1879. 

  1879. <pre>public static&nbsp;void&nbsp;blobFromImageWithParams(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;image,
    1880. 

  1880.                                            <a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob,
    1881. 

  1881.                                            <a href="../../../org/opencv/dnn/Image2BlobParams.html" title="class in org.opencv.dnn">Image2BlobParams</a>&nbsp;param)</pre>
    1882. 

  1882. </li>
    1883. 

  1883. </ul>
    1884. 

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    1885. 

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    1886. 

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    1887. 

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    1888. 

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    1889. 

  1889. <h4>getAvailableTargets</h4>
    1890. 

  1890. <pre>public static&nbsp;java.util.List&lt;java.lang.Integer&gt;&nbsp;getAvailableTargets(int&nbsp;be)</pre>
    1891. 

  1891. </li>
    1892. 

  1892. </ul>
    1893. 

  1893. <a name="getInferenceEngineCPUType--">
    1894. 

  1894. <!--   -->
    1895. 

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    1898. 

  1898. <h4>getInferenceEngineCPUType</h4>
    1899. 

  1899. <pre>public static&nbsp;java.lang.String&nbsp;getInferenceEngineCPUType()</pre>
    1900. 

  1900. <div class="block">Returns Inference Engine CPU type.
    1901. 

  1901. 

  1902.  Specify OpenVINO plugin: CPU or ARM.</div>
    1903. 

  1903. <dl>
    1904. 

  1904. <dt><span class="returnLabel">Returns:</span></dt>
    1905. 

  1905. <dd>automatically generated</dd>
    1906. 

  1906. </dl>
    1907. 

  1907. </li>
    1908. 

  1908. </ul>
    1909. 

  1909. <a name="getInferenceEngineVPUType--">
    1910. 

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    1911. 

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    1912. 

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    1913. 

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    1914. 

  1914. <h4>getInferenceEngineVPUType</h4>
    1915. 

  1915. <pre>public static&nbsp;java.lang.String&nbsp;getInferenceEngineVPUType()</pre>
    1916. 

  1916. <div class="block">Returns Inference Engine VPU type.
    1917. 

  1917. 

  1918.  See values of <code>CV_DNN_INFERENCE_ENGINE_VPU_TYPE_*</code> macros.</div>
    1919. 

  1919. <dl>
    1920. 

  1920. <dt><span class="returnLabel">Returns:</span></dt>
    1921. 

  1921. <dd>automatically generated</dd>
    1922. 

  1922. </dl>
    1923. 

  1923. </li>
    1924. 

  1924. </ul>
    1925. 

  1925. <a name="imagesFromBlob-org.opencv.core.Mat-java.util.List-">
    1926. 

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    1929. 

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    1930. 

  1930. <h4>imagesFromBlob</h4>
    1931. 

  1931. <pre>public static&nbsp;void&nbsp;imagesFromBlob(<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;blob_,
    1932. 

  1932.                                   java.util.List&lt;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&gt;&nbsp;images_)</pre>
    1933. 

  1933. <div class="block">Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure
    1934. 

  1934.  (std::vector&lt;cv::Mat&gt;).</div>
    1935. 

  1935. <dl>
    1936. 

  1936. <dt><span class="paramLabel">Parameters:</span></dt>
    1937. 

  1937. <dd><code>blob_</code> - 4 dimensional array (images, channels, height, width) in floating point precision (CV_32F) from
    1938. 

  1938.  which you would like to extract the images.</dd>
    1939. 

  1939. <dd><code>images_</code> - array of 2D Mat containing the images extracted from the blob in floating point precision
    1940. 

  1940.  (CV_32F). They are non normalized neither mean added. The number of returned images equals the first dimension
    1941. 

  1941.  of the blob (batch size). Every image has a number of channels equals to the second dimension of the blob (depth).</dd>
    1942. 

  1942. </dl>
    1943. 

  1943. </li>
    1944. 

  1944. </ul>
    1945. 

  1945. <a name="NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">
    1946. 

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    1947. 

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    1948. 

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    1949. 

  1949. <li class="blockList">
    1950. 

  1950. <h4>NMSBoxes</h4>
    1951. 

  1951. <pre>public static&nbsp;void&nbsp;NMSBoxes(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    1952. 

  1952.                             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    1953. 

  1953.                             float&nbsp;score_threshold,
    1954. 

  1954.                             float&nbsp;nms_threshold,
    1955. 

  1955.                             <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</pre>
    1956. 

  1956. <div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
    1957. 

  1957. <dl>
    1958. 

  1958. <dt><span class="paramLabel">Parameters:</span></dt>
    1959. 

  1959. <dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
    1960. 

  1960. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    1961. 

  1961. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    1962. 

  1962. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    1963. 

  1963. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    1964. 

  1964. </dl>
    1965. 

  1965. </li>
    1966. 

  1966. </ul>
    1967. 

  1967. <a name="NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">
    1968. 

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    1969. 

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    1970. 

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    1971. 

  1971. <li class="blockList">
    1972. 

  1972. <h4>NMSBoxes</h4>
    1973. 

  1973. <pre>public static&nbsp;void&nbsp;NMSBoxes(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    1974. 

  1974.                             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    1975. 

  1975.                             float&nbsp;score_threshold,
    1976. 

  1976.                             float&nbsp;nms_threshold,
    1977. 

  1977.                             <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    1978. 

  1978.                             float&nbsp;eta)</pre>
    1979. 

  1979. <div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
    1980. 

  1980. <dl>
    1981. 

  1981. <dt><span class="paramLabel">Parameters:</span></dt>
    1982. 

  1982. <dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
    1983. 

  1983. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    1984. 

  1984. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    1985. 

  1985. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    1986. 

  1986. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    1987. 

  1987. <dd><code>eta</code> - a coefficient in adaptive threshold formula: \(nms\_threshold_{i+1}=eta\cdot nms\_threshold_i\).</dd>
    1988. 

  1988. </dl>
    1989. 

  1989. </li>
    1990. 

  1990. </ul>
    1991. 

  1991. <a name="NMSBoxes-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">
    1992. 

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    1993. 

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    1995. 

  1995. <li class="blockList">
    1996. 

  1996. <h4>NMSBoxes</h4>
    1997. 

  1997. <pre>public static&nbsp;void&nbsp;NMSBoxes(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    1998. 

  1998.                             <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    1999. 

  1999.                             float&nbsp;score_threshold,
    2000. 

  2000.                             float&nbsp;nms_threshold,
    2001. 

  2001.                             <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2002. 

  2002.                             float&nbsp;eta,
    2003. 

  2003.                             int&nbsp;top_k)</pre>
    2004. 

  2004. <div class="block">Performs non maximum suppression given boxes and corresponding scores.</div>
    2005. 

  2005. <dl>
    2006. 

  2006. <dt><span class="paramLabel">Parameters:</span></dt>
    2007. 

  2007. <dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
    2008. 

  2008. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2009. 

  2009. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2010. 

  2010. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2011. 

  2011. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    2012. 

  2012. <dd><code>eta</code> - a coefficient in adaptive threshold formula: \(nms\_threshold_{i+1}=eta\cdot nms\_threshold_i\).</dd>
    2013. 

  2013. <dd><code>top_k</code> - if <code>&amp;gt;0</code>, keep at most <code>top_k</code> picked indices.</dd>
    2014. 

  2014. </dl>
    2015. 

  2015. </li>
    2016. 

  2016. </ul>
    2017. 

  2017. <a name="NMSBoxesBatched-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-org.opencv.core.MatOfInt-float-float-org.opencv.core.MatOfInt-">
    2018. 

  2018. <!--   -->
    2019. 

  2019. </a>
    2020. 

  2020. <ul class="blockList">
    2021. 

  2021. <li class="blockList">
    2022. 

  2022. <h4>NMSBoxesBatched</h4>
    2023. 

  2023. <pre>public static&nbsp;void&nbsp;NMSBoxesBatched(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    2024. 

  2024.                                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2025. 

  2025.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;class_ids,
    2026. 

  2026.                                    float&nbsp;score_threshold,
    2027. 

  2027.                                    float&nbsp;nms_threshold,
    2028. 

  2028.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</pre>
    2029. 

  2029. <div class="block">Performs batched non maximum suppression on given boxes and corresponding scores across different classes.</div>
    2030. 

  2030. <dl>
    2031. 

  2031. <dt><span class="paramLabel">Parameters:</span></dt>
    2032. 

  2032. <dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
    2033. 

  2033. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2034. 

  2034. <dd><code>class_ids</code> - a set of corresponding class ids. Ids are integer and usually start from 0.</dd>
    2035. 

  2035. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2036. 

  2036. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2037. 

  2037. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    2038. 

  2038. </dl>
    2039. 

  2039. </li>
    2040. 

  2040. </ul>
    2041. 

  2041. <a name="NMSBoxesBatched-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-org.opencv.core.MatOfInt-float-float-org.opencv.core.MatOfInt-float-">
    2042. 

  2042. <!--   -->
    2043. 

  2043. </a>
    2044. 

  2044. <ul class="blockList">
    2045. 

  2045. <li class="blockList">
    2046. 

  2046. <h4>NMSBoxesBatched</h4>
    2047. 

  2047. <pre>public static&nbsp;void&nbsp;NMSBoxesBatched(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    2048. 

  2048.                                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2049. 

  2049.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;class_ids,
    2050. 

  2050.                                    float&nbsp;score_threshold,
    2051. 

  2051.                                    float&nbsp;nms_threshold,
    2052. 

  2052.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2053. 

  2053.                                    float&nbsp;eta)</pre>
    2054. 

  2054. <div class="block">Performs batched non maximum suppression on given boxes and corresponding scores across different classes.</div>
    2055. 

  2055. <dl>
    2056. 

  2056. <dt><span class="paramLabel">Parameters:</span></dt>
    2057. 

  2057. <dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
    2058. 

  2058. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2059. 

  2059. <dd><code>class_ids</code> - a set of corresponding class ids. Ids are integer and usually start from 0.</dd>
    2060. 

  2060. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2061. 

  2061. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2062. 

  2062. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    2063. 

  2063. <dd><code>eta</code> - a coefficient in adaptive threshold formula: \(nms\_threshold_{i+1}=eta\cdot nms\_threshold_i\).</dd>
    2064. 

  2064. </dl>
    2065. 

  2065. </li>
    2066. 

  2066. </ul>
    2067. 

  2067. <a name="NMSBoxesBatched-org.opencv.core.MatOfRect2d-org.opencv.core.MatOfFloat-org.opencv.core.MatOfInt-float-float-org.opencv.core.MatOfInt-float-int-">
    2068. 

  2068. <!--   -->
    2069. 

  2069. </a>
    2070. 

  2070. <ul class="blockList">
    2071. 

  2071. <li class="blockList">
    2072. 

  2072. <h4>NMSBoxesBatched</h4>
    2073. 

  2073. <pre>public static&nbsp;void&nbsp;NMSBoxesBatched(<a href="../../../org/opencv/core/MatOfRect2d.html" title="class in org.opencv.core">MatOfRect2d</a>&nbsp;bboxes,
    2074. 

  2074.                                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2075. 

  2075.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;class_ids,
    2076. 

  2076.                                    float&nbsp;score_threshold,
    2077. 

  2077.                                    float&nbsp;nms_threshold,
    2078. 

  2078.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2079. 

  2079.                                    float&nbsp;eta,
    2080. 

  2080.                                    int&nbsp;top_k)</pre>
    2081. 

  2081. <div class="block">Performs batched non maximum suppression on given boxes and corresponding scores across different classes.</div>
    2082. 

  2082. <dl>
    2083. 

  2083. <dt><span class="paramLabel">Parameters:</span></dt>
    2084. 

  2084. <dd><code>bboxes</code> - a set of bounding boxes to apply NMS.</dd>
    2085. 

  2085. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2086. 

  2086. <dd><code>class_ids</code> - a set of corresponding class ids. Ids are integer and usually start from 0.</dd>
    2087. 

  2087. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2088. 

  2088. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2089. 

  2089. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    2090. 

  2090. <dd><code>eta</code> - a coefficient in adaptive threshold formula: \(nms\_threshold_{i+1}=eta\cdot nms\_threshold_i\).</dd>
    2091. 

  2091. <dd><code>top_k</code> - if <code>&amp;gt;0</code>, keep at most <code>top_k</code> picked indices.</dd>
    2092. 

  2092. </dl>
    2093. 

  2093. </li>
    2094. 

  2094. </ul>
    2095. 

  2095. <a name="NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">
    2096. 

  2096. <!--   -->
    2097. 

  2097. </a>
    2098. 

  2098. <ul class="blockList">
    2099. 

  2099. <li class="blockList">
    2100. 

  2100. <h4>NMSBoxesRotated</h4>
    2101. 

  2101. <pre>public static&nbsp;void&nbsp;NMSBoxesRotated(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;bboxes,
    2102. 

  2102.                                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2103. 

  2103.                                    float&nbsp;score_threshold,
    2104. 

  2104.                                    float&nbsp;nms_threshold,
    2105. 

  2105.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</pre>
    2106. 

  2106. </li>
    2107. 

  2107. </ul>
    2108. 

  2108. <a name="NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-">
    2109. 

  2109. <!--   -->
    2110. 

  2110. </a>
    2111. 

  2111. <ul class="blockList">
    2112. 

  2112. <li class="blockList">
    2113. 

  2113. <h4>NMSBoxesRotated</h4>
    2114. 

  2114. <pre>public static&nbsp;void&nbsp;NMSBoxesRotated(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;bboxes,
    2115. 

  2115.                                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2116. 

  2116.                                    float&nbsp;score_threshold,
    2117. 

  2117.                                    float&nbsp;nms_threshold,
    2118. 

  2118.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2119. 

  2119.                                    float&nbsp;eta)</pre>
    2120. 

  2120. </li>
    2121. 

  2121. </ul>
    2122. 

  2122. <a name="NMSBoxesRotated-org.opencv.core.MatOfRotatedRect-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-float-int-">
    2123. 

  2123. <!--   -->
    2124. 

  2124. </a>
    2125. 

  2125. <ul class="blockList">
    2126. 

  2126. <li class="blockList">
    2127. 

  2127. <h4>NMSBoxesRotated</h4>
    2128. 

  2128. <pre>public static&nbsp;void&nbsp;NMSBoxesRotated(<a href="../../../org/opencv/core/MatOfRotatedRect.html" title="class in org.opencv.core">MatOfRotatedRect</a>&nbsp;bboxes,
    2129. 

  2129.                                    <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2130. 

  2130.                                    float&nbsp;score_threshold,
    2131. 

  2131.                                    float&nbsp;nms_threshold,
    2132. 

  2132.                                    <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2133. 

  2133.                                    float&nbsp;eta,
    2134. 

  2134.                                    int&nbsp;top_k)</pre>
    2135. 

  2135. </li>
    2136. 

  2136. </ul>
    2137. 

  2137. <a name="readNet-java.lang.String-">
    2138. 

  2138. <!--   -->
    2139. 

  2139. </a>
    2140. 

  2140. <ul class="blockList">
    2141. 

  2141. <li class="blockList">
    2142. 

  2142. <h4>readNet</h4>
    2143. 

  2143. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNet(java.lang.String&nbsp;model)</pre>
    2144. 

  2144. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    2145. 

  2145. <dl>
    2146. 

  2146. <dt><span class="paramLabel">Parameters:</span></dt>
    2147. 

  2147. <dd><code>model</code> - Binary file contains trained weights. The following file
    2148. 

  2148.  extensions are expected for models from different frameworks:
    2149. 

  2149.  * <code>*.caffemodel</code> (Caffe, http://caffe.berkeleyvision.org/)
    2150. 

  2150.  * <code>*.pb</code> (TensorFlow, https://www.tensorflow.org/)
    2151. 

  2151.  * <code>*.t7</code> | <code>*.net</code> (Torch, http://torch.ch/)
    2152. 

  2152.  * <code>*.weights</code> (Darknet, https://pjreddie.com/darknet/)
    2153. 

  2153.  * <code>*.bin</code> (DLDT, https://software.intel.com/openvino-toolkit)
    2154. 

  2154.  * <code>*.onnx</code> (ONNX, https://onnx.ai/)
    2155. 

  2155.  file with the following extensions:
    2156. 

  2156.  * <code>*.prototxt</code> (Caffe, http://caffe.berkeleyvision.org/)
    2157. 

  2157.  * <code>*.pbtxt</code> (TensorFlow, https://www.tensorflow.org/)
    2158. 

  2158.  * <code>*.cfg</code> (Darknet, https://pjreddie.com/darknet/)
    2159. 

  2159.  * <code>*.xml</code> (DLDT, https://software.intel.com/openvino-toolkit)</dd>
    2160. 

  2160. <dt><span class="returnLabel">Returns:</span></dt>
    2161. 

  2161. <dd>Net object.
    2162. 

  2162. 

  2163.  This function automatically detects an origin framework of trained model
    2164. 

  2164.  and calls an appropriate function such REF: readNetFromCaffe, REF: readNetFromTensorflow,
    2165. 

  2165.  REF: readNetFromTorch or REF: readNetFromDarknet. An order of <code>model</code> and <code>config</code>
    2166. 

  2166.  arguments does not matter.</dd>
    2167. 

  2167. </dl>
    2168. 

  2168. </li>
    2169. 

  2169. </ul>
    2170. 

  2170. <a name="readNet-java.lang.String-org.opencv.core.MatOfByte-">
    2171. 

  2171. <!--   -->
    2172. 

  2172. </a>
    2173. 

  2173. <ul class="blockList">
    2174. 

  2174. <li class="blockList">
    2175. 

  2175. <h4>readNet</h4>
    2176. 

  2176. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNet(java.lang.String&nbsp;framework,
    2177. 

  2177.                           <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</pre>
    2178. 

  2178. <div class="block">Read deep learning network represented in one of the supported formats.
    2179. 

  2179.  This is an overloaded member function, provided for convenience.
    2180. 

  2180.  It differs from the above function only in what argument(s) it accepts.</div>
    2181. 

  2181. <dl>
    2182. 

  2182. <dt><span class="paramLabel">Parameters:</span></dt>
    2183. 

  2183. <dd><code>framework</code> - Name of origin framework.</dd>
    2184. 

  2184. <dd><code>bufferModel</code> - A buffer with a content of binary file with weights</dd>
    2185. 

  2185. <dt><span class="returnLabel">Returns:</span></dt>
    2186. 

  2186. <dd>Net object.</dd>
    2187. 

  2187. </dl>
    2188. 

  2188. </li>
    2189. 

  2189. </ul>
    2190. 

  2190. <a name="readNet-java.lang.String-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
    2191. 

  2191. <!--   -->
    2192. 

  2192. </a>
    2193. 

  2193. <ul class="blockList">
    2194. 

  2194. <li class="blockList">
    2195. 

  2195. <h4>readNet</h4>
    2196. 

  2196. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNet(java.lang.String&nbsp;framework,
    2197. 

  2197.                           <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel,
    2198. 

  2198.                           <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferConfig)</pre>
    2199. 

  2199. <div class="block">Read deep learning network represented in one of the supported formats.
    2200. 

  2200.  This is an overloaded member function, provided for convenience.
    2201. 

  2201.  It differs from the above function only in what argument(s) it accepts.</div>
    2202. 

  2202. <dl>
    2203. 

  2203. <dt><span class="paramLabel">Parameters:</span></dt>
    2204. 

  2204. <dd><code>framework</code> - Name of origin framework.</dd>
    2205. 

  2205. <dd><code>bufferModel</code> - A buffer with a content of binary file with weights</dd>
    2206. 

  2206. <dd><code>bufferConfig</code> - A buffer with a content of text file contains network configuration.</dd>
    2207. 

  2207. <dt><span class="returnLabel">Returns:</span></dt>
    2208. 

  2208. <dd>Net object.</dd>
    2209. 

  2209. </dl>
    2210. 

  2210. </li>
    2211. 

  2211. </ul>
    2212. 

  2212. <a name="readNet-java.lang.String-java.lang.String-">
    2213. 

  2213. <!--   -->
    2214. 

  2214. </a>
    2215. 

  2215. <ul class="blockList">
    2216. 

  2216. <li class="blockList">
    2217. 

  2217. <h4>readNet</h4>
    2218. 

  2218. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNet(java.lang.String&nbsp;model,
    2219. 

  2219.                           java.lang.String&nbsp;config)</pre>
    2220. 

  2220. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    2221. 

  2221. <dl>
    2222. 

  2222. <dt><span class="paramLabel">Parameters:</span></dt>
    2223. 

  2223. <dd><code>model</code> - Binary file contains trained weights. The following file
    2224. 

  2224.  extensions are expected for models from different frameworks:
    2225. 

  2225.  * <code>*.caffemodel</code> (Caffe, http://caffe.berkeleyvision.org/)
    2226. 

  2226.  * <code>*.pb</code> (TensorFlow, https://www.tensorflow.org/)
    2227. 

  2227.  * <code>*.t7</code> | <code>*.net</code> (Torch, http://torch.ch/)
    2228. 

  2228.  * <code>*.weights</code> (Darknet, https://pjreddie.com/darknet/)
    2229. 

  2229.  * <code>*.bin</code> (DLDT, https://software.intel.com/openvino-toolkit)
    2230. 

  2230.  * <code>*.onnx</code> (ONNX, https://onnx.ai/)</dd>
    2231. 

  2231. <dd><code>config</code> - Text file contains network configuration. It could be a
    2232. 

  2232.  file with the following extensions:
    2233. 

  2233.  * <code>*.prototxt</code> (Caffe, http://caffe.berkeleyvision.org/)
    2234. 

  2234.  * <code>*.pbtxt</code> (TensorFlow, https://www.tensorflow.org/)
    2235. 

  2235.  * <code>*.cfg</code> (Darknet, https://pjreddie.com/darknet/)
    2236. 

  2236.  * <code>*.xml</code> (DLDT, https://software.intel.com/openvino-toolkit)</dd>
    2237. 

  2237. <dt><span class="returnLabel">Returns:</span></dt>
    2238. 

  2238. <dd>Net object.
    2239. 

  2239. 

  2240.  This function automatically detects an origin framework of trained model
    2241. 

  2241.  and calls an appropriate function such REF: readNetFromCaffe, REF: readNetFromTensorflow,
    2242. 

  2242.  REF: readNetFromTorch or REF: readNetFromDarknet. An order of <code>model</code> and <code>config</code>
    2243. 

  2243.  arguments does not matter.</dd>
    2244. 

  2244. </dl>
    2245. 

  2245. </li>
    2246. 

  2246. </ul>
    2247. 

  2247. <a name="readNet-java.lang.String-java.lang.String-java.lang.String-">
    2248. 

  2248. <!--   -->
    2249. 

  2249. </a>
    2250. 

  2250. <ul class="blockList">
    2251. 

  2251. <li class="blockList">
    2252. 

  2252. <h4>readNet</h4>
    2253. 

  2253. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNet(java.lang.String&nbsp;model,
    2254. 

  2254.                           java.lang.String&nbsp;config,
    2255. 

  2255.                           java.lang.String&nbsp;framework)</pre>
    2256. 

  2256. <div class="block">Read deep learning network represented in one of the supported formats.</div>
    2257. 

  2257. <dl>
    2258. 

  2258. <dt><span class="paramLabel">Parameters:</span></dt>
    2259. 

  2259. <dd><code>model</code> - Binary file contains trained weights. The following file
    2260. 

  2260.  extensions are expected for models from different frameworks:
    2261. 

  2261.  * <code>*.caffemodel</code> (Caffe, http://caffe.berkeleyvision.org/)
    2262. 

  2262.  * <code>*.pb</code> (TensorFlow, https://www.tensorflow.org/)
    2263. 

  2263.  * <code>*.t7</code> | <code>*.net</code> (Torch, http://torch.ch/)
    2264. 

  2264.  * <code>*.weights</code> (Darknet, https://pjreddie.com/darknet/)
    2265. 

  2265.  * <code>*.bin</code> (DLDT, https://software.intel.com/openvino-toolkit)
    2266. 

  2266.  * <code>*.onnx</code> (ONNX, https://onnx.ai/)</dd>
    2267. 

  2267. <dd><code>config</code> - Text file contains network configuration. It could be a
    2268. 

  2268.  file with the following extensions:
    2269. 

  2269.  * <code>*.prototxt</code> (Caffe, http://caffe.berkeleyvision.org/)
    2270. 

  2270.  * <code>*.pbtxt</code> (TensorFlow, https://www.tensorflow.org/)
    2271. 

  2271.  * <code>*.cfg</code> (Darknet, https://pjreddie.com/darknet/)
    2272. 

  2272.  * <code>*.xml</code> (DLDT, https://software.intel.com/openvino-toolkit)</dd>
    2273. 

  2273. <dd><code>framework</code> - Explicit framework name tag to determine a format.</dd>
    2274. 

  2274. <dt><span class="returnLabel">Returns:</span></dt>
    2275. 

  2275. <dd>Net object.
    2276. 

  2276. 

  2277.  This function automatically detects an origin framework of trained model
    2278. 

  2278.  and calls an appropriate function such REF: readNetFromCaffe, REF: readNetFromTensorflow,
    2279. 

  2279.  REF: readNetFromTorch or REF: readNetFromDarknet. An order of <code>model</code> and <code>config</code>
    2280. 

  2280.  arguments does not matter.</dd>
    2281. 

  2281. </dl>
    2282. 

  2282. </li>
    2283. 

  2283. </ul>
    2284. 

  2284. <a name="readNetFromCaffe-org.opencv.core.MatOfByte-">
    2285. 

  2285. <!--   -->
    2286. 

  2286. </a>
    2287. 

  2287. <ul class="blockList">
    2288. 

  2288. <li class="blockList">
    2289. 

  2289. <h4>readNetFromCaffe</h4>
    2290. 

  2290. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromCaffe(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferProto)</pre>
    2291. 

  2291. <div class="block">Reads a network model stored in Caffe model in memory.</div>
    2292. 

  2292. <dl>
    2293. 

  2293. <dt><span class="paramLabel">Parameters:</span></dt>
    2294. 

  2294. <dd><code>bufferProto</code> - buffer containing the content of the .prototxt file</dd>
    2295. 

  2295. <dt><span class="returnLabel">Returns:</span></dt>
    2296. 

  2296. <dd>Net object.</dd>
    2297. 

  2297. </dl>
    2298. 

  2298. </li>
    2299. 

  2299. </ul>
    2300. 

  2300. <a name="readNetFromCaffe-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
    2301. 

  2301. <!--   -->
    2302. 

  2302. </a>
    2303. 

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    2304. 

  2304. <li class="blockList">
    2305. 

  2305. <h4>readNetFromCaffe</h4>
    2306. 

  2306. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromCaffe(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferProto,
    2307. 

  2307.                                    <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</pre>
    2308. 

  2308. <div class="block">Reads a network model stored in Caffe model in memory.</div>
    2309. 

  2309. <dl>
    2310. 

  2310. <dt><span class="paramLabel">Parameters:</span></dt>
    2311. 

  2311. <dd><code>bufferProto</code> - buffer containing the content of the .prototxt file</dd>
    2312. 

  2312. <dd><code>bufferModel</code> - buffer containing the content of the .caffemodel file</dd>
    2313. 

  2313. <dt><span class="returnLabel">Returns:</span></dt>
    2314. 

  2314. <dd>Net object.</dd>
    2315. 

  2315. </dl>
    2316. 

  2316. </li>
    2317. 

  2317. </ul>
    2318. 

  2318. <a name="readNetFromCaffe-java.lang.String-">
    2319. 

  2319. <!--   -->
    2320. 

  2320. </a>
    2321. 

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    2322. 

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    2323. 

  2323. <h4>readNetFromCaffe</h4>
    2324. 

  2324. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromCaffe(java.lang.String&nbsp;prototxt)</pre>
    2325. 

  2325. <div class="block">Reads a network model stored in &lt;a href="http://caffe.berkeleyvision.org"&gt;Caffe&lt;/a&gt; framework's format.</div>
    2326. 

  2326. <dl>
    2327. 

  2327. <dt><span class="paramLabel">Parameters:</span></dt>
    2328. 

  2328. <dd><code>prototxt</code> - path to the .prototxt file with text description of the network architecture.</dd>
    2329. 

  2329. <dt><span class="returnLabel">Returns:</span></dt>
    2330. 

  2330. <dd>Net object.</dd>
    2331. 

  2331. </dl>
    2332. 

  2332. </li>
    2333. 

  2333. </ul>
    2334. 

  2334. <a name="readNetFromCaffe-java.lang.String-java.lang.String-">
    2335. 

  2335. <!--   -->
    2336. 

  2336. </a>
    2337. 

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    2338. 

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    2339. 

  2339. <h4>readNetFromCaffe</h4>
    2340. 

  2340. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromCaffe(java.lang.String&nbsp;prototxt,
    2341. 

  2341.                                    java.lang.String&nbsp;caffeModel)</pre>
    2342. 

  2342. <div class="block">Reads a network model stored in &lt;a href="http://caffe.berkeleyvision.org"&gt;Caffe&lt;/a&gt; framework's format.</div>
    2343. 

  2343. <dl>
    2344. 

  2344. <dt><span class="paramLabel">Parameters:</span></dt>
    2345. 

  2345. <dd><code>prototxt</code> - path to the .prototxt file with text description of the network architecture.</dd>
    2346. 

  2346. <dd><code>caffeModel</code> - path to the .caffemodel file with learned network.</dd>
    2347. 

  2347. <dt><span class="returnLabel">Returns:</span></dt>
    2348. 

  2348. <dd>Net object.</dd>
    2349. 

  2349. </dl>
    2350. 

  2350. </li>
    2351. 

  2351. </ul>
    2352. 

  2352. <a name="readNetFromDarknet-org.opencv.core.MatOfByte-">
    2353. 

  2353. <!--   -->
    2354. 

  2354. </a>
    2355. 

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    2356. 

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    2357. 

  2357. <h4>readNetFromDarknet</h4>
    2358. 

  2358. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromDarknet(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferCfg)</pre>
    2359. 

  2359. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    2360. 

  2360. <dl>
    2361. 

  2361. <dt><span class="paramLabel">Parameters:</span></dt>
    2362. 

  2362. <dd><code>bufferCfg</code> - A buffer contains a content of .cfg file with text description of the network architecture.</dd>
    2363. 

  2363. <dt><span class="returnLabel">Returns:</span></dt>
    2364. 

  2364. <dd>Net object.</dd>
    2365. 

  2365. </dl>
    2366. 

  2366. </li>
    2367. 

  2367. </ul>
    2368. 

  2368. <a name="readNetFromDarknet-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
    2369. 

  2369. <!--   -->
    2370. 

  2370. </a>
    2371. 

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    2372. 

  2372. <li class="blockList">
    2373. 

  2373. <h4>readNetFromDarknet</h4>
    2374. 

  2374. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromDarknet(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferCfg,
    2375. 

  2375.                                      <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</pre>
    2376. 

  2376. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    2377. 

  2377. <dl>
    2378. 

  2378. <dt><span class="paramLabel">Parameters:</span></dt>
    2379. 

  2379. <dd><code>bufferCfg</code> - A buffer contains a content of .cfg file with text description of the network architecture.</dd>
    2380. 

  2380. <dd><code>bufferModel</code> - A buffer contains a content of .weights file with learned network.</dd>
    2381. 

  2381. <dt><span class="returnLabel">Returns:</span></dt>
    2382. 

  2382. <dd>Net object.</dd>
    2383. 

  2383. </dl>
    2384. 

  2384. </li>
    2385. 

  2385. </ul>
    2386. 

  2386. <a name="readNetFromDarknet-java.lang.String-">
    2387. 

  2387. <!--   -->
    2388. 

  2388. </a>
    2389. 

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    2390. 

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    2391. 

  2391. <h4>readNetFromDarknet</h4>
    2392. 

  2392. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromDarknet(java.lang.String&nbsp;cfgFile)</pre>
    2393. 

  2393. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    2394. 

  2394. <dl>
    2395. 

  2395. <dt><span class="paramLabel">Parameters:</span></dt>
    2396. 

  2396. <dd><code>cfgFile</code> - path to the .cfg file with text description of the network architecture.</dd>
    2397. 

  2397. <dt><span class="returnLabel">Returns:</span></dt>
    2398. 

  2398. <dd>Network object that ready to do forward, throw an exception in failure cases.</dd>
    2399. 

  2399. </dl>
    2400. 

  2400. </li>
    2401. 

  2401. </ul>
    2402. 

  2402. <a name="readNetFromDarknet-java.lang.String-java.lang.String-">
    2403. 

  2403. <!--   -->
    2404. 

  2404. </a>
    2405. 

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    2406. 

  2406. <li class="blockList">
    2407. 

  2407. <h4>readNetFromDarknet</h4>
    2408. 

  2408. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromDarknet(java.lang.String&nbsp;cfgFile,
    2409. 

  2409.                                      java.lang.String&nbsp;darknetModel)</pre>
    2410. 

  2410. <div class="block">Reads a network model stored in &lt;a href="https://pjreddie.com/darknet/"&gt;Darknet&lt;/a&gt; model files.</div>
    2411. 

  2411. <dl>
    2412. 

  2412. <dt><span class="paramLabel">Parameters:</span></dt>
    2413. 

  2413. <dd><code>cfgFile</code> - path to the .cfg file with text description of the network architecture.</dd>
    2414. 

  2414. <dd><code>darknetModel</code> - path to the .weights file with learned network.</dd>
    2415. 

  2415. <dt><span class="returnLabel">Returns:</span></dt>
    2416. 

  2416. <dd>Network object that ready to do forward, throw an exception in failure cases.</dd>
    2417. 

  2417. </dl>
    2418. 

  2418. </li>
    2419. 

  2419. </ul>
    2420. 

  2420. <a name="readNetFromModelOptimizer-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
    2421. 

  2421. <!--   -->
    2422. 

  2422. </a>
    2423. 

  2423. <ul class="blockList">
    2424. 

  2424. <li class="blockList">
    2425. 

  2425. <h4>readNetFromModelOptimizer</h4>
    2426. 

  2426. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromModelOptimizer(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModelConfig,
    2427. 

  2427.                                             <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferWeights)</pre>
    2428. 

  2428. <div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
    2429. 

  2429. <dl>
    2430. 

  2430. <dt><span class="paramLabel">Parameters:</span></dt>
    2431. 

  2431. <dd><code>bufferModelConfig</code> - Buffer contains XML configuration with network's topology.</dd>
    2432. 

  2432. <dd><code>bufferWeights</code> - Buffer contains binary data with trained weights.</dd>
    2433. 

  2433. <dt><span class="returnLabel">Returns:</span></dt>
    2434. 

  2434. <dd>Net object.
    2435. 

  2435.  Networks imported from Intel's Model Optimizer are launched in Intel's Inference Engine
    2436. 

  2436.  backend.</dd>
    2437. 

  2437. </dl>
    2438. 

  2438. </li>
    2439. 

  2439. </ul>
    2440. 

  2440. <a name="readNetFromModelOptimizer-java.lang.String-java.lang.String-">
    2441. 

  2441. <!--   -->
    2442. 

  2442. </a>
    2443. 

  2443. <ul class="blockList">
    2444. 

  2444. <li class="blockList">
    2445. 

  2445. <h4>readNetFromModelOptimizer</h4>
    2446. 

  2446. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromModelOptimizer(java.lang.String&nbsp;xml,
    2447. 

  2447.                                             java.lang.String&nbsp;bin)</pre>
    2448. 

  2448. <div class="block">Load a network from Intel's Model Optimizer intermediate representation.</div>
    2449. 

  2449. <dl>
    2450. 

  2450. <dt><span class="paramLabel">Parameters:</span></dt>
    2451. 

  2451. <dd><code>xml</code> - XML configuration file with network's topology.</dd>
    2452. 

  2452. <dd><code>bin</code> - Binary file with trained weights.</dd>
    2453. 

  2453. <dt><span class="returnLabel">Returns:</span></dt>
    2454. 

  2454. <dd>Net object.
    2455. 

  2455.  Networks imported from Intel's Model Optimizer are launched in Intel's Inference Engine
    2456. 

  2456.  backend.</dd>
    2457. 

  2457. </dl>
    2458. 

  2458. </li>
    2459. 

  2459. </ul>
    2460. 

  2460. <a name="readNetFromONNX-org.opencv.core.MatOfByte-">
    2461. 

  2461. <!--   -->
    2462. 

  2462. </a>
    2463. 

  2463. <ul class="blockList">
    2464. 

  2464. <li class="blockList">
    2465. 

  2465. <h4>readNetFromONNX</h4>
    2466. 

  2466. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromONNX(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;buffer)</pre>
    2467. 

  2467. <div class="block">Reads a network model from &lt;a href="https://onnx.ai/"&gt;ONNX&lt;/a&gt;
    2468. 

  2468.  in-memory buffer.</div>
    2469. 

  2469. <dl>
    2470. 

  2470. <dt><span class="paramLabel">Parameters:</span></dt>
    2471. 

  2471. <dd><code>buffer</code> - in-memory buffer that stores the ONNX model bytes.</dd>
    2472. 

  2472. <dt><span class="returnLabel">Returns:</span></dt>
    2473. 

  2473. <dd>Network object that ready to do forward, throw an exception
    2474. 

  2474.  in failure cases.</dd>
    2475. 

  2475. </dl>
    2476. 

  2476. </li>
    2477. 

  2477. </ul>
    2478. 

  2478. <a name="readNetFromONNX-java.lang.String-">
    2479. 

  2479. <!--   -->
    2480. 

  2480. </a>
    2481. 

  2481. <ul class="blockList">
    2482. 

  2482. <li class="blockList">
    2483. 

  2483. <h4>readNetFromONNX</h4>
    2484. 

  2484. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromONNX(java.lang.String&nbsp;onnxFile)</pre>
    2485. 

  2485. <div class="block">Reads a network model &lt;a href="https://onnx.ai/"&gt;ONNX&lt;/a&gt;.</div>
    2486. 

  2486. <dl>
    2487. 

  2487. <dt><span class="paramLabel">Parameters:</span></dt>
    2488. 

  2488. <dd><code>onnxFile</code> - path to the .onnx file with text description of the network architecture.</dd>
    2489. 

  2489. <dt><span class="returnLabel">Returns:</span></dt>
    2490. 

  2490. <dd>Network object that ready to do forward, throw an exception in failure cases.</dd>
    2491. 

  2491. </dl>
    2492. 

  2492. </li>
    2493. 

  2493. </ul>
    2494. 

  2494. <a name="readNetFromTensorflow-org.opencv.core.MatOfByte-">
    2495. 

  2495. <!--   -->
    2496. 

  2496. </a>
    2497. 

  2497. <ul class="blockList">
    2498. 

  2498. <li class="blockList">
    2499. 

  2499. <h4>readNetFromTensorflow</h4>
    2500. 

  2500. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTensorflow(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</pre>
    2501. 

  2501. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    2502. 

  2502. <dl>
    2503. 

  2503. <dt><span class="paramLabel">Parameters:</span></dt>
    2504. 

  2504. <dd><code>bufferModel</code> - buffer containing the content of the pb file</dd>
    2505. 

  2505. <dt><span class="returnLabel">Returns:</span></dt>
    2506. 

  2506. <dd>Net object.</dd>
    2507. 

  2507. </dl>
    2508. 

  2508. </li>
    2509. 

  2509. </ul>
    2510. 

  2510. <a name="readNetFromTensorflow-org.opencv.core.MatOfByte-org.opencv.core.MatOfByte-">
    2511. 

  2511. <!--   -->
    2512. 

  2512. </a>
    2513. 

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    2514. 

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    2515. 

  2515. <h4>readNetFromTensorflow</h4>
    2516. 

  2516. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTensorflow(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel,
    2517. 

  2517.                                         <a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferConfig)</pre>
    2518. 

  2518. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    2519. 

  2519. <dl>
    2520. 

  2520. <dt><span class="paramLabel">Parameters:</span></dt>
    2521. 

  2521. <dd><code>bufferModel</code> - buffer containing the content of the pb file</dd>
    2522. 

  2522. <dd><code>bufferConfig</code> - buffer containing the content of the pbtxt file</dd>
    2523. 

  2523. <dt><span class="returnLabel">Returns:</span></dt>
    2524. 

  2524. <dd>Net object.</dd>
    2525. 

  2525. </dl>
    2526. 

  2526. </li>
    2527. 

  2527. </ul>
    2528. 

  2528. <a name="readNetFromTensorflow-java.lang.String-">
    2529. 

  2529. <!--   -->
    2530. 

  2530. </a>
    2531. 

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    2532. 

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    2533. 

  2533. <h4>readNetFromTensorflow</h4>
    2534. 

  2534. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTensorflow(java.lang.String&nbsp;model)</pre>
    2535. 

  2535. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    2536. 

  2536. <dl>
    2537. 

  2537. <dt><span class="paramLabel">Parameters:</span></dt>
    2538. 

  2538. <dd><code>model</code> - path to the .pb file with binary protobuf description of the network architecture
    2539. 

  2539.  Resulting Net object is built by text graph using weights from a binary one that
    2540. 

  2540.  let us make it more flexible.</dd>
    2541. 

  2541. <dt><span class="returnLabel">Returns:</span></dt>
    2542. 

  2542. <dd>Net object.</dd>
    2543. 

  2543. </dl>
    2544. 

  2544. </li>
    2545. 

  2545. </ul>
    2546. 

  2546. <a name="readNetFromTensorflow-java.lang.String-java.lang.String-">
    2547. 

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    2548. 

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  2551. <h4>readNetFromTensorflow</h4>
    2552. 

  2552. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTensorflow(java.lang.String&nbsp;model,
    2553. 

  2553.                                         java.lang.String&nbsp;config)</pre>
    2554. 

  2554. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/"&gt;TensorFlow&lt;/a&gt; framework's format.</div>
    2555. 

  2555. <dl>
    2556. 

  2556. <dt><span class="paramLabel">Parameters:</span></dt>
    2557. 

  2557. <dd><code>model</code> - path to the .pb file with binary protobuf description of the network architecture</dd>
    2558. 

  2558. <dd><code>config</code> - path to the .pbtxt file that contains text graph definition in protobuf format.
    2559. 

  2559.  Resulting Net object is built by text graph using weights from a binary one that
    2560. 

  2560.  let us make it more flexible.</dd>
    2561. 

  2561. <dt><span class="returnLabel">Returns:</span></dt>
    2562. 

  2562. <dd>Net object.</dd>
    2563. 

  2563. </dl>
    2564. 

  2564. </li>
    2565. 

  2565. </ul>
    2566. 

  2566. <a name="readNetFromTFLite-org.opencv.core.MatOfByte-">
    2567. 

  2567. <!--   -->
    2568. 

  2568. </a>
    2569. 

  2569. <ul class="blockList">
    2570. 

  2570. <li class="blockList">
    2571. 

  2571. <h4>readNetFromTFLite</h4>
    2572. 

  2572. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTFLite(<a href="../../../org/opencv/core/MatOfByte.html" title="class in org.opencv.core">MatOfByte</a>&nbsp;bufferModel)</pre>
    2573. 

  2573. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/lite"&gt;TFLite&lt;/a&gt; framework's format.</div>
    2574. 

  2574. <dl>
    2575. 

  2575. <dt><span class="paramLabel">Parameters:</span></dt>
    2576. 

  2576. <dd><code>bufferModel</code> - buffer containing the content of the tflite file</dd>
    2577. 

  2577. <dt><span class="returnLabel">Returns:</span></dt>
    2578. 

  2578. <dd>Net object.</dd>
    2579. 

  2579. </dl>
    2580. 

  2580. </li>
    2581. 

  2581. </ul>
    2582. 

  2582. <a name="readNetFromTFLite-java.lang.String-">
    2583. 

  2583. <!--   -->
    2584. 

  2584. </a>
    2585. 

  2585. <ul class="blockList">
    2586. 

  2586. <li class="blockList">
    2587. 

  2587. <h4>readNetFromTFLite</h4>
    2588. 

  2588. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTFLite(java.lang.String&nbsp;model)</pre>
    2589. 

  2589. <div class="block">Reads a network model stored in &lt;a href="https://www.tensorflow.org/lite"&gt;TFLite&lt;/a&gt; framework's format.</div>
    2590. 

  2590. <dl>
    2591. 

  2591. <dt><span class="paramLabel">Parameters:</span></dt>
    2592. 

  2592. <dd><code>model</code> - path to the .tflite file with binary flatbuffers description of the network architecture</dd>
    2593. 

  2593. <dt><span class="returnLabel">Returns:</span></dt>
    2594. 

  2594. <dd>Net object.</dd>
    2595. 

  2595. </dl>
    2596. 

  2596. </li>
    2597. 

  2597. </ul>
    2598. 

  2598. <a name="readNetFromTorch-java.lang.String-">
    2599. 

  2599. <!--   -->
    2600. 

  2600. </a>
    2601. 

  2601. <ul class="blockList">
    2602. 

  2602. <li class="blockList">
    2603. 

  2603. <h4>readNetFromTorch</h4>
    2604. 

  2604. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTorch(java.lang.String&nbsp;model)</pre>
    2605. 

  2605. <div class="block">Reads a network model stored in &lt;a href="http://torch.ch"&gt;Torch7&lt;/a&gt; framework's format.</div>
    2606. 

  2606. <dl>
    2607. 

  2607. <dt><span class="paramLabel">Parameters:</span></dt>
    2608. 

  2608. <dd><code>model</code> - path to the file, dumped from Torch by using torch.save() function.</dd>
    2609. 

  2609. <dt><span class="returnLabel">Returns:</span></dt>
    2610. 

  2610. <dd>Net object.
    2611. 

  2611. 

  2612.  <b>Note:</b> Ascii mode of Torch serializer is more preferable, because binary mode extensively use <code>long</code> type of C language,
    2613. 

  2613.  which has various bit-length on different systems.
    2614. 

  2614. 

  2615.  The loading file must contain serialized &lt;a href="https://github.com/torch/nn/blob/master/doc/module.md"&gt;nn.Module&lt;/a&gt; object
    2616. 

  2616.  with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
    2617. 

  2617. 

  2618.  List of supported layers (i.e. object instances derived from Torch nn.Module class):
    2619. 

  2619.  - nn.Sequential
    2620. 

  2620.  - nn.Parallel
    2621. 

  2621.  - nn.Concat
    2622. 

  2622.  - nn.Linear
    2623. 

  2623.  - nn.SpatialConvolution
    2624. 

  2624.  - nn.SpatialMaxPooling, nn.SpatialAveragePooling
    2625. 

  2625.  - nn.ReLU, nn.TanH, nn.Sigmoid
    2626. 

  2626.  - nn.Reshape
    2627. 

  2627.  - nn.SoftMax, nn.LogSoftMax
    2628. 

  2628. 

  2629.  Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.</dd>
    2630. 

  2630. </dl>
    2631. 

  2631. </li>
    2632. 

  2632. </ul>
    2633. 

  2633. <a name="readNetFromTorch-java.lang.String-boolean-">
    2634. 

  2634. <!--   -->
    2635. 

  2635. </a>
    2636. 

  2636. <ul class="blockList">
    2637. 

  2637. <li class="blockList">
    2638. 

  2638. <h4>readNetFromTorch</h4>
    2639. 

  2639. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTorch(java.lang.String&nbsp;model,
    2640. 

  2640.                                    boolean&nbsp;isBinary)</pre>
    2641. 

  2641. <div class="block">Reads a network model stored in &lt;a href="http://torch.ch"&gt;Torch7&lt;/a&gt; framework's format.</div>
    2642. 

  2642. <dl>
    2643. 

  2643. <dt><span class="paramLabel">Parameters:</span></dt>
    2644. 

  2644. <dd><code>model</code> - path to the file, dumped from Torch by using torch.save() function.</dd>
    2645. 

  2645. <dd><code>isBinary</code> - specifies whether the network was serialized in ascii mode or binary.</dd>
    2646. 

  2646. <dt><span class="returnLabel">Returns:</span></dt>
    2647. 

  2647. <dd>Net object.
    2648. 

  2648. 

  2649.  <b>Note:</b> Ascii mode of Torch serializer is more preferable, because binary mode extensively use <code>long</code> type of C language,
    2650. 

  2650.  which has various bit-length on different systems.
    2651. 

  2651. 

  2652.  The loading file must contain serialized &lt;a href="https://github.com/torch/nn/blob/master/doc/module.md"&gt;nn.Module&lt;/a&gt; object
    2653. 

  2653.  with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
    2654. 

  2654. 

  2655.  List of supported layers (i.e. object instances derived from Torch nn.Module class):
    2656. 

  2656.  - nn.Sequential
    2657. 

  2657.  - nn.Parallel
    2658. 

  2658.  - nn.Concat
    2659. 

  2659.  - nn.Linear
    2660. 

  2660.  - nn.SpatialConvolution
    2661. 

  2661.  - nn.SpatialMaxPooling, nn.SpatialAveragePooling
    2662. 

  2662.  - nn.ReLU, nn.TanH, nn.Sigmoid
    2663. 

  2663.  - nn.Reshape
    2664. 

  2664.  - nn.SoftMax, nn.LogSoftMax
    2665. 

  2665. 

  2666.  Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.</dd>
    2667. 

  2667. </dl>
    2668. 

  2668. </li>
    2669. 

  2669. </ul>
    2670. 

  2670. <a name="readNetFromTorch-java.lang.String-boolean-boolean-">
    2671. 

  2671. <!--   -->
    2672. 

  2672. </a>
    2673. 

  2673. <ul class="blockList">
    2674. 

  2674. <li class="blockList">
    2675. 

  2675. <h4>readNetFromTorch</h4>
    2676. 

  2676. <pre>public static&nbsp;<a href="../../../org/opencv/dnn/Net.html" title="class in org.opencv.dnn">Net</a>&nbsp;readNetFromTorch(java.lang.String&nbsp;model,
    2677. 

  2677.                                    boolean&nbsp;isBinary,
    2678. 

  2678.                                    boolean&nbsp;evaluate)</pre>
    2679. 

  2679. <div class="block">Reads a network model stored in &lt;a href="http://torch.ch"&gt;Torch7&lt;/a&gt; framework's format.</div>
    2680. 

  2680. <dl>
    2681. 

  2681. <dt><span class="paramLabel">Parameters:</span></dt>
    2682. 

  2682. <dd><code>model</code> - path to the file, dumped from Torch by using torch.save() function.</dd>
    2683. 

  2683. <dd><code>isBinary</code> - specifies whether the network was serialized in ascii mode or binary.</dd>
    2684. 

  2684. <dd><code>evaluate</code> - specifies testing phase of network. If true, it's similar to evaluate() method in Torch.</dd>
    2685. 

  2685. <dt><span class="returnLabel">Returns:</span></dt>
    2686. 

  2686. <dd>Net object.
    2687. 

  2687. 

  2688.  <b>Note:</b> Ascii mode of Torch serializer is more preferable, because binary mode extensively use <code>long</code> type of C language,
    2689. 

  2689.  which has various bit-length on different systems.
    2690. 

  2690. 

  2691.  The loading file must contain serialized &lt;a href="https://github.com/torch/nn/blob/master/doc/module.md"&gt;nn.Module&lt;/a&gt; object
    2692. 

  2692.  with importing network. Try to eliminate a custom objects from serialazing data to avoid importing errors.
    2693. 

  2693. 

  2694.  List of supported layers (i.e. object instances derived from Torch nn.Module class):
    2695. 

  2695.  - nn.Sequential
    2696. 

  2696.  - nn.Parallel
    2697. 

  2697.  - nn.Concat
    2698. 

  2698.  - nn.Linear
    2699. 

  2699.  - nn.SpatialConvolution
    2700. 

  2700.  - nn.SpatialMaxPooling, nn.SpatialAveragePooling
    2701. 

  2701.  - nn.ReLU, nn.TanH, nn.Sigmoid
    2702. 

  2702.  - nn.Reshape
    2703. 

  2703.  - nn.SoftMax, nn.LogSoftMax
    2704. 

  2704. 

  2705.  Also some equivalents of these classes from cunn, cudnn, and fbcunn may be successfully imported.</dd>
    2706. 

  2706. </dl>
    2707. 

  2707. </li>
    2708. 

  2708. </ul>
    2709. 

  2709. <a name="readTensorFromONNX-java.lang.String-">
    2710. 

  2710. <!--   -->
    2711. 

  2711. </a>
    2712. 

  2712. <ul class="blockList">
    2713. 

  2713. <li class="blockList">
    2714. 

  2714. <h4>readTensorFromONNX</h4>
    2715. 

  2715. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;readTensorFromONNX(java.lang.String&nbsp;path)</pre>
    2716. 

  2716. <div class="block">Creates blob from .pb file.</div>
    2717. 

  2717. <dl>
    2718. 

  2718. <dt><span class="paramLabel">Parameters:</span></dt>
    2719. 

  2719. <dd><code>path</code> - to the .pb file with input tensor.</dd>
    2720. 

  2720. <dt><span class="returnLabel">Returns:</span></dt>
    2721. 

  2721. <dd>Mat.</dd>
    2722. 

  2722. </dl>
    2723. 

  2723. </li>
    2724. 

  2724. </ul>
    2725. 

  2725. <a name="readTorchBlob-java.lang.String-">
    2726. 

  2726. <!--   -->
    2727. 

  2727. </a>
    2728. 

  2728. <ul class="blockList">
    2729. 

  2729. <li class="blockList">
    2730. 

  2730. <h4>readTorchBlob</h4>
    2731. 

  2731. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;readTorchBlob(java.lang.String&nbsp;filename)</pre>
    2732. 

  2732. <div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.
    2733. 

  2733.  WARNING: This function has the same limitations as readNetFromTorch().</div>
    2734. 

  2734. <dl>
    2735. 

  2735. <dt><span class="paramLabel">Parameters:</span></dt>
    2736. 

  2736. <dd><code>filename</code> - automatically generated</dd>
    2737. 

  2737. <dt><span class="returnLabel">Returns:</span></dt>
    2738. 

  2738. <dd>automatically generated</dd>
    2739. 

  2739. </dl>
    2740. 

  2740. </li>
    2741. 

  2741. </ul>
    2742. 

  2742. <a name="readTorchBlob-java.lang.String-boolean-">
    2743. 

  2743. <!--   -->
    2744. 

  2744. </a>
    2745. 

  2745. <ul class="blockList">
    2746. 

  2746. <li class="blockList">
    2747. 

  2747. <h4>readTorchBlob</h4>
    2748. 

  2748. <pre>public static&nbsp;<a href="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</a>&nbsp;readTorchBlob(java.lang.String&nbsp;filename,
    2749. 

  2749.                                 boolean&nbsp;isBinary)</pre>
    2750. 

  2750. <div class="block">Loads blob which was serialized as torch.Tensor object of Torch7 framework.
    2751. 

  2751.  WARNING: This function has the same limitations as readNetFromTorch().</div>
    2752. 

  2752. <dl>
    2753. 

  2753. <dt><span class="paramLabel">Parameters:</span></dt>
    2754. 

  2754. <dd><code>filename</code> - automatically generated</dd>
    2755. 

  2755. <dd><code>isBinary</code> - automatically generated</dd>
    2756. 

  2756. <dt><span class="returnLabel">Returns:</span></dt>
    2757. 

  2757. <dd>automatically generated</dd>
    2758. 

  2758. </dl>
    2759. 

  2759. </li>
    2760. 

  2760. </ul>
    2761. 

  2761. <a name="releaseHDDLPlugin--">
    2762. 

  2762. <!--   -->
    2763. 

  2763. </a>
    2764. 

  2764. <ul class="blockList">
    2765. 

  2765. <li class="blockList">
    2766. 

  2766. <h4>releaseHDDLPlugin</h4>
    2767. 

  2767. <pre>public static&nbsp;void&nbsp;releaseHDDLPlugin()</pre>
    2768. 

  2768. <div class="block">Release a HDDL plugin.</div>
    2769. 

  2769. </li>
    2770. 

  2770. </ul>
    2771. 

  2771. <a name="resetMyriadDevice--">
    2772. 

  2772. <!--   -->
    2773. 

  2773. </a>
    2774. 

  2774. <ul class="blockList">
    2775. 

  2775. <li class="blockList">
    2776. 

  2776. <h4>resetMyriadDevice</h4>
    2777. 

  2777. <pre>public static&nbsp;void&nbsp;resetMyriadDevice()</pre>
    2778. 

  2778. <div class="block">Release a Myriad device (binded by OpenCV).
    2779. 

  2779. 

  2780.  Single Myriad device cannot be shared across multiple processes which uses
    2781. 

  2781.  Inference Engine's Myriad plugin.</div>
    2782. 

  2782. </li>
    2783. 

  2783. </ul>
    2784. 

  2784. <a name="shrinkCaffeModel-java.lang.String-java.lang.String-">
    2785. 

  2785. <!--   -->
    2786. 

  2786. </a>
    2787. 

  2787. <ul class="blockList">
    2788. 

  2788. <li class="blockList">
    2789. 

  2789. <h4>shrinkCaffeModel</h4>
    2790. 

  2790. <pre>public static&nbsp;void&nbsp;shrinkCaffeModel(java.lang.String&nbsp;src,
    2791. 

  2791.                                     java.lang.String&nbsp;dst)</pre>
    2792. 

  2792. <div class="block">Convert all weights of Caffe network to half precision floating point.</div>
    2793. 

  2793. <dl>
    2794. 

  2794. <dt><span class="paramLabel">Parameters:</span></dt>
    2795. 

  2795. <dd><code>src</code> - Path to origin model from Caffe framework contains single
    2796. 

  2796.  precision floating point weights (usually has <code>.caffemodel</code> extension).</dd>
    2797. 

  2797. <dd><code>dst</code> - Path to destination model with updated weights.
    2798. 

  2798.  By default, converts only Convolutional and Fully-Connected layers'
    2799. 

  2799.  weights.
    2800. 

  2800. 

  2801.  <b>Note:</b> Shrinked model has no origin float32 weights so it can't be used
    2802. 

  2802.  in origin Caffe framework anymore. However the structure of data
    2803. 

  2803.  is taken from NVidia's Caffe fork: https://github.com/NVIDIA/caffe.
    2804. 

  2804.  So the resulting model may be used there.</dd>
    2805. 

  2805. </dl>
    2806. 

  2806. </li>
    2807. 

  2807. </ul>
    2808. 

  2808. <a name="shrinkCaffeModel-java.lang.String-java.lang.String-java.util.List-">
    2809. 

  2809. <!--   -->
    2810. 

  2810. </a>
    2811. 

  2811. <ul class="blockList">
    2812. 

  2812. <li class="blockList">
    2813. 

  2813. <h4>shrinkCaffeModel</h4>
    2814. 

  2814. <pre>public static&nbsp;void&nbsp;shrinkCaffeModel(java.lang.String&nbsp;src,
    2815. 

  2815.                                     java.lang.String&nbsp;dst,
    2816. 

  2816.                                     java.util.List&lt;java.lang.String&gt;&nbsp;layersTypes)</pre>
    2817. 

  2817. <div class="block">Convert all weights of Caffe network to half precision floating point.</div>
    2818. 

  2818. <dl>
    2819. 

  2819. <dt><span class="paramLabel">Parameters:</span></dt>
    2820. 

  2820. <dd><code>src</code> - Path to origin model from Caffe framework contains single
    2821. 

  2821.  precision floating point weights (usually has <code>.caffemodel</code> extension).</dd>
    2822. 

  2822. <dd><code>dst</code> - Path to destination model with updated weights.</dd>
    2823. 

  2823. <dd><code>layersTypes</code> - Set of layers types which parameters will be converted.
    2824. 

  2824.  By default, converts only Convolutional and Fully-Connected layers'
    2825. 

  2825.  weights.
    2826. 

  2826. 

  2827.  <b>Note:</b> Shrinked model has no origin float32 weights so it can't be used
    2828. 

  2828.  in origin Caffe framework anymore. However the structure of data
    2829. 

  2829.  is taken from NVidia's Caffe fork: https://github.com/NVIDIA/caffe.
    2830. 

  2830.  So the resulting model may be used there.</dd>
    2831. 

  2831. </dl>
    2832. 

  2832. </li>
    2833. 

  2833. </ul>
    2834. 

  2834. <a name="softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-">
    2835. 

  2835. <!--   -->
    2836. 

  2836. </a>
    2837. 

  2837. <ul class="blockList">
    2838. 

  2838. <li class="blockList">
    2839. 

  2839. <h4>softNMSBoxes</h4>
    2840. 

  2840. <pre>public static&nbsp;void&nbsp;softNMSBoxes(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a>&nbsp;bboxes,
    2841. 

  2841.                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2842. 

  2842.                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;updated_scores,
    2843. 

  2843.                                 float&nbsp;score_threshold,
    2844. 

  2844.                                 float&nbsp;nms_threshold,
    2845. 

  2845.                                 <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices)</pre>
    2846. 

  2846. <div class="block">Performs soft non maximum suppression given boxes and corresponding scores.
    2847. 

  2847.  Reference: https://arxiv.org/abs/1704.04503</div>
    2848. 

  2848. <dl>
    2849. 

  2849. <dt><span class="paramLabel">Parameters:</span></dt>
    2850. 

  2850. <dd><code>bboxes</code> - a set of bounding boxes to apply Soft NMS.</dd>
    2851. 

  2851. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2852. 

  2852. <dd><code>updated_scores</code> - a set of corresponding updated confidences.</dd>
    2853. 

  2853. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2854. 

  2854. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2855. 

  2855. <dd><code>indices</code> - the kept indices of bboxes after NMS.
    2856. 

  2856.  SEE: SoftNMSMethod</dd>
    2857. 

  2857. </dl>
    2858. 

  2858. </li>
    2859. 

  2859. </ul>
    2860. 

  2860. <a name="softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-">
    2861. 

  2861. <!--   -->
    2862. 

  2862. </a>
    2863. 

  2863. <ul class="blockList">
    2864. 

  2864. <li class="blockList">
    2865. 

  2865. <h4>softNMSBoxes</h4>
    2866. 

  2866. <pre>public static&nbsp;void&nbsp;softNMSBoxes(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a>&nbsp;bboxes,
    2867. 

  2867.                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2868. 

  2868.                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;updated_scores,
    2869. 

  2869.                                 float&nbsp;score_threshold,
    2870. 

  2870.                                 float&nbsp;nms_threshold,
    2871. 

  2871.                                 <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2872. 

  2872.                                 long&nbsp;top_k)</pre>
    2873. 

  2873. <div class="block">Performs soft non maximum suppression given boxes and corresponding scores.
    2874. 

  2874.  Reference: https://arxiv.org/abs/1704.04503</div>
    2875. 

  2875. <dl>
    2876. 

  2876. <dt><span class="paramLabel">Parameters:</span></dt>
    2877. 

  2877. <dd><code>bboxes</code> - a set of bounding boxes to apply Soft NMS.</dd>
    2878. 

  2878. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2879. 

  2879. <dd><code>updated_scores</code> - a set of corresponding updated confidences.</dd>
    2880. 

  2880. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2881. 

  2881. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2882. 

  2882. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    2883. 

  2883. <dd><code>top_k</code> - keep at most <code>top_k</code> picked indices.
    2884. 

  2884.  SEE: SoftNMSMethod</dd>
    2885. 

  2885. </dl>
    2886. 

  2886. </li>
    2887. 

  2887. </ul>
    2888. 

  2888. <a name="softNMSBoxes-org.opencv.core.MatOfRect-org.opencv.core.MatOfFloat-org.opencv.core.MatOfFloat-float-float-org.opencv.core.MatOfInt-long-float-">
    2889. 

  2889. <!--   -->
    2890. 

  2890. </a>
    2891. 

  2891. <ul class="blockList">
    2892. 

  2892. <li class="blockList">
    2893. 

  2893. <h4>softNMSBoxes</h4>
    2894. 

  2894. <pre>public static&nbsp;void&nbsp;softNMSBoxes(<a href="../../../org/opencv/core/MatOfRect.html" title="class in org.opencv.core">MatOfRect</a>&nbsp;bboxes,
    2895. 

  2895.                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;scores,
    2896. 

  2896.                                 <a href="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</a>&nbsp;updated_scores,
    2897. 

  2897.                                 float&nbsp;score_threshold,
    2898. 

  2898.                                 float&nbsp;nms_threshold,
    2899. 

  2899.                                 <a href="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</a>&nbsp;indices,
    2900. 

  2900.                                 long&nbsp;top_k,
    2901. 

  2901.                                 float&nbsp;sigma)</pre>
    2902. 

  2902. <div class="block">Performs soft non maximum suppression given boxes and corresponding scores.
    2903. 

  2903.  Reference: https://arxiv.org/abs/1704.04503</div>
    2904. 

  2904. <dl>
    2905. 

  2905. <dt><span class="paramLabel">Parameters:</span></dt>
    2906. 

  2906. <dd><code>bboxes</code> - a set of bounding boxes to apply Soft NMS.</dd>
    2907. 

  2907. <dd><code>scores</code> - a set of corresponding confidences.</dd>
    2908. 

  2908. <dd><code>updated_scores</code> - a set of corresponding updated confidences.</dd>
    2909. 

  2909. <dd><code>score_threshold</code> - a threshold used to filter boxes by score.</dd>
    2910. 

  2910. <dd><code>nms_threshold</code> - a threshold used in non maximum suppression.</dd>
    2911. 

  2911. <dd><code>indices</code> - the kept indices of bboxes after NMS.</dd>
    2912. 

  2912. <dd><code>top_k</code> - keep at most <code>top_k</code> picked indices.</dd>
    2913. 

  2913. <dd><code>sigma</code> - parameter of Gaussian weighting.
    2914. 

  2914.  SEE: SoftNMSMethod</dd>
    2915. 

  2915. </dl>
    2916. 

  2916. </li>
    2917. 

  2917. </ul>
    2918. 

  2918. <a name="writeTextGraph-java.lang.String-java.lang.String-">
    2919. 

  2919. <!--   -->
    2920. 

  2920. </a>
    2921. 

  2921. <ul class="blockListLast">
    2922. 

  2922. <li class="blockList">
    2923. 

  2923. <h4>writeTextGraph</h4>
    2924. 

  2924. <pre>public static&nbsp;void&nbsp;writeTextGraph(java.lang.String&nbsp;model,
    2925. 

  2925.                                   java.lang.String&nbsp;output)</pre>
    2926. 

  2926. <div class="block">Create a text representation for a binary network stored in protocol buffer format.</div>
    2927. 

  2927. <dl>
    2928. 

  2928. <dt><span class="paramLabel">Parameters:</span></dt>
    2929. 

  2929. <dd><code>model</code> - A path to binary network.</dd>
    2930. 

  2930. <dd><code>output</code> - A path to output text file to be created.
    2931. 

  2931. 

  2932.  <b>Note:</b> To reduce output file size, trained weights are not included.</dd>
    2933. 

  2933. </dl>
    2934. 

  2934. </li>
    2935. 

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    2936. 

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    2938. 

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    2940. 

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    2996. 

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    3000. 

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    3013. 

  3013. <p class="legalCopy"><small>Generated on 2023-06-28 12:47:21 / OpenCV 4.8.0</small></p>
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    3016.