opencv

Open Source Computer Vision Library https://opencv.org/

Junyan721113 d9421ac148 Merge pull request #25167 from plctlab:rvp_3rdparty 3rdparty: NDSRVP - A New 3rdparty Library with Optimizations Based on RISC-V P Extension v0.5.2 - Part 1: Basic Functions #25167 # Summary ### Previous context From PR #24556: >> * As you wrote, the P-extension differs from RVV thus can not be easily implemented via Universal Intrinsics mechanism, but there is another HAL mechanism for lower-level CPU optimizations which is used by the [Carotene](https://github.com/opencv/opencv/tree/4.x/3rdparty/carotene) library on ARM platforms. I suggest moving all non-dnn code to similar third-party component. For example, FAST algorithm should allow such optimization-shortcut: see https://github.com/opencv/opencv/blob/4.x/modules/features2d/src/hal_replacement.hpp >> Reference documentation is here: >> >> * https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html >> * https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html >> * https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html >> * Carotene library is turned on here: `8bbf08f0de/CMakeLists.txt (L906-L911)` > As a test outside of this PR, A 3rdparty component called ndsrvp is created, containing one of the non-dnn code (integral_SIMD), and it works very well. > All the non-dnn code in this PR have been removed, currently this PR can be focused on dnn optinizations. > This HAL mechanism is quite suitable for rvp optimizations, all the non-dnn code is expected to be moved into ndsrvp soon. ### Progress #### Part 1 (This PR) - [Core](https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html) - [x] Element-wise add and subtract - [x] Element-wise minimum or maximum - [x] Element-wise absolute difference - [x] Bitwise logical operations - [x] Element-wise compare - [ImgProc](https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html) - [x] Integral - [x] Threshold - [x] WarpAffine - [x] WarpPerspective - [Features2D](https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html) #### Part 2 (Next PR) Rough Estimate. Todo List May Change. - [Core](https://docs.opencv.org/4.x/d1/d1b/group__core__hal__interface.html) - [ImgProc](https://docs.opencv.org/4.x/dd/d8b/group__imgproc__hal__interface.html) - smaller remap HAL interface - AdaptiveThreshold - BoxFilter - Canny - Convert - Filter - GaussianBlur - MedianBlur - Morph - Pyrdown - Resize - Scharr - SepFilter - Sobel - [Features2D](https://docs.opencv.org/4.x/db/d47/group__features2d__hal__interface.html) - FAST ### Performance Tests The optimization does not contain floating point opreations. Absolute Difference Geometric mean (ms) \|Name of Test\|opencv perf core Absdiff\|opencv perf core Absdiff\|opencv perf core Absdiff vs opencv perf core Absdiff (x-factor)\| \|---\|:-:\|:-:\|:-:\| \|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC1)\|23.104\|5.972\|3.87\| \|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC1)\|39.500\|40.830\|0.97\| \|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC3)\|69.155\|15.051\|4.59\| \|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC3)\|118.715\|120.509\|0.99\| \|Absdiff::OCL_AbsDiffFixture::(640x480, 8UC4)\|93.001\|19.770\|4.70\| \|Absdiff::OCL_AbsDiffFixture::(640x480, 32FC4)\|161.136\|160.791\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC1)\|69.211\|15.140\|4.57\| \|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC1)\|118.762\|119.263\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC3)\|212.414\|44.692\|4.75\| \|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC3)\|367.512\|366.569\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(1280x720, 8UC4)\|285.337\|59.708\|4.78\| \|Absdiff::OCL_AbsDiffFixture::(1280x720, 32FC4)\|490.395\|491.118\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC1)\|158.827\|33.462\|4.75\| \|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC1)\|273.503\|273.668\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC3)\|484.175\|100.520\|4.82\| \|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC3)\|828.758\|829.689\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(1920x1080, 8UC4)\|648.592\|137.195\|4.73\| \|Absdiff::OCL_AbsDiffFixture::(1920x1080, 32FC4)\|1116.755\|1109.587\|1.01\| \|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC1)\|648.715\|134.875\|4.81\| \|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC1)\|1115.939\|1113.818\|1.00\| \|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC3)\|1944.791\|413.420\|4.70\| \|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC3)\|3354.193\|3324.672\|1.01\| \|Absdiff::OCL_AbsDiffFixture::(3840x2160, 8UC4)\|2594.585\|553.486\|4.69\| \|Absdiff::OCL_AbsDiffFixture::(3840x2160, 32FC4)\|4473.543\|4438.453\|1.01\| Bitwise Operation Geometric mean (ms) \|Name of Test\|opencv perf core Bit\|opencv perf core Bit\|opencv perf core Bit vs opencv perf core Bit (x-factor)\| \|---\|:-:\|:-:\|:-:\| \|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC1)\|22.542\|4.971\|4.53\| \|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC1)\|90.210\|19.917\|4.53\| \|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC3)\|68.429\|15.037\|4.55\| \|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC3)\|280.168\|59.239\|4.73\| \|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 8UC4)\|90.565\|19.735\|4.59\| \|Bitwise_and::OCL_BitwiseAndFixture::(640x480, 32FC4)\|374.695\|79.257\|4.73\| \|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC1)\|67.824\|14.873\|4.56\| \|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC1)\|279.514\|59.232\|4.72\| \|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC3)\|208.337\|44.234\|4.71\| \|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC3)\|851.211\|182.522\|4.66\| \|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 8UC4)\|279.529\|59.095\|4.73\| \|Bitwise_and::OCL_BitwiseAndFixture::(1280x720, 32FC4)\|1132.065\|244.877\|4.62\| \|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC1)\|155.685\|33.078\|4.71\| \|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC1)\|635.253\|137.482\|4.62\| \|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC3)\|474.494\|100.166\|4.74\| \|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC3)\|1907.340\|412.841\|4.62\| \|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 8UC4)\|635.538\|134.544\|4.72\| \|Bitwise_and::OCL_BitwiseAndFixture::(1920x1080, 32FC4)\|2552.666\|556.397\|4.59\| \|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC1)\|634.736\|136.355\|4.66\| \|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC1)\|2548.283\|561.827\|4.54\| \|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC3)\|1911.454\|421.571\|4.53\| \|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC3)\|7663.803\|1677.289\|4.57\| \|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 8UC4)\|2543.983\|562.780\|4.52\| \|Bitwise_and::OCL_BitwiseAndFixture::(3840x2160, 32FC4)\|10211.693\|2237.393\|4.56\| \|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC1)\|22.341\|4.811\|4.64\| \|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC1)\|89.975\|19.288\|4.66\| \|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC3)\|67.237\|14.643\|4.59\| \|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC3)\|276.324\|58.609\|4.71\| \|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 8UC4)\|89.587\|19.554\|4.58\| \|Bitwise_not::OCL_BitwiseNotFixture::(640x480, 32FC4)\|370.986\|77.136\|4.81\| \|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC1)\|67.227\|14.541\|4.62\| \|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC1)\|276.357\|58.076\|4.76\| \|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC3)\|206.752\|43.376\|4.77\| \|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC3)\|841.638\|177.787\|4.73\| \|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 8UC4)\|276.773\|57.784\|4.79\| \|Bitwise_not::OCL_BitwiseNotFixture::(1280x720, 32FC4)\|1127.740\|237.472\|4.75\| \|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC1)\|153.808\|32.531\|4.73\| \|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC1)\|627.765\|129.990\|4.83\| \|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC3)\|469.799\|98.249\|4.78\| \|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC3)\|1893.591\|403.694\|4.69\| \|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 8UC4)\|627.724\|129.962\|4.83\| \|Bitwise_not::OCL_BitwiseNotFixture::(1920x1080, 32FC4)\|2529.967\|540.744\|4.68\| \|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC1)\|628.089\|130.277\|4.82\| \|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC1)\|2521.817\|540.146\|4.67\| \|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC3)\|1905.004\|404.704\|4.71\| \|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC3)\|7567.971\|1627.898\|4.65\| \|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 8UC4)\|2531.476\|540.181\|4.69\| \|Bitwise_not::OCL_BitwiseNotFixture::(3840x2160, 32FC4)\|10075.594\|2181.654\|4.62\| \|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC1)\|22.566\|5.076\|4.45\| \|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC1)\|90.391\|19.928\|4.54\| \|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC3)\|67.758\|14.740\|4.60\| \|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC3)\|279.253\|59.844\|4.67\| \|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 8UC4)\|90.296\|19.802\|4.56\| \|Bitwise_or::OCL_BitwiseOrFixture::(640x480, 32FC4)\|373.972\|79.815\|4.69\| \|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC1)\|67.815\|14.865\|4.56\| \|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC1)\|279.398\|60.054\|4.65\| \|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC3)\|208.643\|45.043\|4.63\| \|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC3)\|850.042\|180.985\|4.70\| \|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 8UC4)\|279.363\|60.385\|4.63\| \|Bitwise_or::OCL_BitwiseOrFixture::(1280x720, 32FC4)\|1134.858\|243.062\|4.67\| \|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC1)\|155.212\|33.155\|4.68\| \|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC1)\|634.985\|134.911\|4.71\| \|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC3)\|474.648\|100.407\|4.73\| \|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC3)\|1912.049\|414.184\|4.62\| \|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 8UC4)\|635.252\|132.587\|4.79\| \|Bitwise_or::OCL_BitwiseOrFixture::(1920x1080, 32FC4)\|2544.471\|560.737\|4.54\| \|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC1)\|634.574\|134.966\|4.70\| \|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC1)\|2545.129\|561.498\|4.53\| \|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC3)\|1910.900\|419.365\|4.56\| \|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC3)\|7662.603\|1685.812\|4.55\| \|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 8UC4)\|2548.971\|560.787\|4.55\| \|Bitwise_or::OCL_BitwiseOrFixture::(3840x2160, 32FC4)\|10201.407\|2237.552\|4.56\| \|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC1)\|22.718\|4.961\|4.58\| \|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC1)\|91.496\|19.831\|4.61\| \|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC3)\|67.910\|15.151\|4.48\| \|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC3)\|279.612\|59.792\|4.68\| \|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 8UC4)\|91.073\|19.853\|4.59\| \|Bitwise_xor::OCL_BitwiseXorFixture::(640x480, 32FC4)\|374.641\|79.155\|4.73\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC1)\|67.704\|15.008\|4.51\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC1)\|279.229\|60.088\|4.65\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC3)\|208.156\|44.426\|4.69\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC3)\|849.501\|180.848\|4.70\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 8UC4)\|279.642\|59.728\|4.68\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1280x720, 32FC4)\|1129.826\|242.880\|4.65\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC1)\|155.585\|33.354\|4.66\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC1)\|634.090\|134.995\|4.70\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC3)\|474.931\|99.598\|4.77\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC3)\|1910.519\|413.138\|4.62\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 8UC4)\|635.026\|135.155\|4.70\| \|Bitwise_xor::OCL_BitwiseXorFixture::(1920x1080, 32FC4)\|2560.167\|560.838\|4.56\| \|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC1)\|634.893\|134.883\|4.71\| \|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC1)\|2548.166\|560.831\|4.54\| \|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC3)\|1911.392\|419.816\|4.55\| \|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC3)\|7646.634\|1677.988\|4.56\| \|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 8UC4)\|2560.637\|560.805\|4.57\| \|Bitwise_xor::OCL_BitwiseXorFixture::(3840x2160, 32FC4)\|10227.044\|2249.458\|4.55\| ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake		6 months ago
..
android	Merge pull request #25190 from klatism:android-config-flags-enhancement	8 months ago
apple	Merge pull request #24136 from komakai:visionos_support	11 months ago
ios	feat: add PrivacyInfo file to iOS framework	7 months ago
js	Added FaceDetectorYN to OpenCV JS API.	7 months ago
linux	Merge pull request #25167 from plctlab:rvp_3rdparty	6 months ago
maven	pre: OpenCV 4.10.0 (version++).	6 months ago
osx	Merge pull request #20092 from komakai:disable_swift_build	4 years ago
scripts	remove unsupported unsupported unicode	1 year ago
semihosting	Merge pull request #20392 from fpetrogalli:aarch64-semihosting	3 years ago
wince	Support building shared libraries on WINCE.	5 years ago
winpack_dldt	Merge remote-tracking branch 'upstream/3.4' into merge-3.4	3 years ago
winrt	Merge pull request #20493 from abhi-bhatra:patch-1	3 years ago
readme.txt	fix 4.x links	3 years ago

readme.txt

This folder contains toolchains and additional files that are needed for cross compilation.
For more information see introduction tutorials for target platform in documentation:
https://docs.opencv.org/4.x/df/d65/tutorial_table_of_content_introduction.html