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基于opencv的图像识别基础库

License: Apache License 2.0

Python 100.00%

feature-matching opencv python template-matching

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【TODO】用c++重写

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多gpu

使用SIFT方式时，报下面错误，这个如何解决？多谢

AttributeError: module 'cv2' has no attribute 'USAC_MAGSAC'

【TODO】针对orb的处理

分辨率太小的图片,会获取不到特征点
在cuda orb中,如果输入的尺寸太小,会导致报错,需要根据cuda orb的ROI方法调整https://github.com/opencv/opencv_contrib/blob/f6a39c5d01a7b2d2bb223a2a67beb9736fce7d93/modules/cudafeatures2d/src/orb.cpp#L507

【TODO】用c++重新翻译一版

python的opencv cuda在分配器上似乎有bug,Buffer用不了

import cv2


cv2.cuda.setBufferPoolUsage(True)
cv2.cuda.setBufferPoolConfig(cv2.cuda.getDevice(), 1024 * 1024 * 64, 2)

stream_a = cv2.cuda.Stream()
stream_b = cv2.cuda.Stream()
pool_a = cv2.cuda.BufferPool(stream_a)
pool_b = cv2.cuda.BufferPool(stream_a)
pool_a.getBuffer(1024, 1024, cv2.CV_8UC3)

打算用c++重写一版

windows下cuda模板匹配的额外cuModuleLoadData耗时

编译环境

opencv4.5.5
cuda11.6
windows10
RTX3080Ti

General configuration for OpenCV 4.5.5-dev =====================================
  Version control:               4.5.5-358-gc8228e5789-dirty

  Extra modules:
    Location (extra):            D:/c++/opencv_contrib/modules
    Version control (extra):     4.5.5-71-gc705f8c4-dirty

  Platform:
    Timestamp:                   2022-05-02T06:58:16Z
    Host:                        Windows 10.0.19044 AMD64
    CMake:                       3.19.2
    CMake generator:             Visual Studio 15 2017
    CMake build tool:            C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/MSBuild/15.0/Bin/MSBuild.exe
    MSVC:                        1916
    Configuration:               Debug Release

  CPU/HW features:
    Baseline:                    SSE SSE2 SSE3
      requested:                 SSE3
    Dispatched code generation:  SSE4_1 SSE4_2 FP16 AVX AVX2 AVX512_SKX
      requested:                 SSE4_1 SSE4_2 AVX FP16 AVX2 AVX512_SKX
      SSE4_1 (16 files):         + SSSE3 SSE4_1
      SSE4_2 (1 files):          + SSSE3 SSE4_1 POPCNT SSE4_2
      FP16 (0 files):            + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 AVX
      AVX (4 files):             + SSSE3 SSE4_1 POPCNT SSE4_2 AVX
      AVX2 (31 files):           + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2
      AVX512_SKX (5 files):      + SSSE3 SSE4_1 POPCNT SSE4_2 FP16 FMA3 AVX AVX2 AVX_512F AVX512_COMMON AVX512_SKX

  C/C++:
    Built as dynamic libs?:      YES
    C++ standard:                11
    C++ Compiler:                C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe  (ver 19.16.27045.0)
    C++ flags (Release):         /DWIN32 /D_WINDOWS /W4 /GR  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi  /fp:precise     /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP  /MD /O2 /Ob2 /DNDEBUG  /Zi
    C++ flags (Debug):           /DWIN32 /D_WINDOWS /W4 /GR  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi  /fp:precise     /EHa /wd4127 /wd4251 /wd4324 /wd4275 /wd4512 /wd4589 /MP  /MDd /Zi /Ob0 /Od /RTC1 
    C Compiler:                  C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe
    C flags (Release):           /DWIN32 /D_WINDOWS /W3  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi  /fp:precise     /MP   /MD /O2 /Ob2 /DNDEBUG  /Zi
    C flags (Debug):             /DWIN32 /D_WINDOWS /W3  /D _CRT_SECURE_NO_DEPRECATE /D _CRT_NONSTDC_NO_DEPRECATE /D _SCL_SECURE_NO_WARNINGS /Gy /bigobj /Oi  /fp:precise     /MP /MDd /Zi /Ob0 /Od /RTC1 
    Linker flags (Release):      /machine:x64  /INCREMENTAL:NO  /debug
    Linker flags (Debug):        /machine:x64  /debug /INCREMENTAL 
    ccache:                      NO
    Precompiled headers:         YES
    Extra dependencies:          cudart_static.lib nppc.lib nppial.lib nppicc.lib nppidei.lib nppif.lib nppig.lib nppim.lib nppist.lib nppisu.lib nppitc.lib npps.lib cublas.lib cudnn.lib cufft.lib -LIBPATH:C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib/x64 -LIBPATH:C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.6/lib
    3rdparty dependencies:

  OpenCV modules:
    To be built:                 aruco barcode bgsegm bioinspired calib3d ccalib core cudaarithm cudabgsegm cudacodec cudafeatures2d cudafilters cudaimgproc cudalegacy cudaobjdetect cudaoptflow cudastereo cudawarping cudev datasets dnn dnn_objdetect dnn_superres dpm face features2d flann fuzzy gapi hfs highgui img_hash imgcodecs imgproc intensity_transform line_descriptor mcc ml objdetect optflow phase_unwrapping photo plot python3 quality rapid reg rgbd saliency shape stereo stitching structured_light superres surface_matching text tracking ts video videoio videostab xfeatures2d ximgproc xobjdetect xphoto
    Disabled:                    java_bindings_generator python_tests wechat_qrcode world
    Disabled by dependency:      -
    Unavailable:                 alphamat cvv freetype hdf java julia matlab ovis python2 sfm viz
    Applications:                apps
    Documentation:               NO
    Non-free algorithms:         NO

  Windows RT support:            NO

  GUI:                           WIN32UI
    Win32 UI:                    YES
    VTK support:                 NO

  Media I/O: 
    ZLib:                        build (ver 1.2.12)
    JPEG:                        build-libjpeg-turbo (ver 2.1.2-62)
    WEBP:                        build (ver encoder: 0x020f)
    PNG:                         build (ver 1.6.37)
    TIFF:                        build (ver 42 - 4.2.0)
    JPEG 2000:                   build (ver 2.4.0)
    OpenEXR:                     build (ver 2.3.0)
    HDR:                         YES
    SUNRASTER:                   YES
    PXM:                         YES
    PFM:                         YES

  Video I/O:
    DC1394:                      NO
    FFMPEG:                      YES (prebuilt binaries)
      avcodec:                   YES (58.134.100)
      avformat:                  YES (58.76.100)
      avutil:                    YES (56.70.100)
      swscale:                   YES (5.9.100)
      avresample:                YES (4.0.0)
    GStreamer:                   NO
    DirectShow:                  YES
    Media Foundation:            YES
      DXVA:                      YES

  Parallel framework:            Concurrency

  Trace:                         YES (with Intel ITT)

  Other third-party libraries:
    Intel IPP:                   2020.0.0 Gold [2020.0.0]
           at:                   D:/c++/opencv_build/3rdparty/ippicv/ippicv_win/icv
    Intel IPP IW:                sources (2020.0.0)
              at:                D:/c++/opencv_build/3rdparty/ippicv/ippicv_win/iw
    Lapack:                      NO
    Eigen:                       NO
    Custom HAL:                  NO
    Protobuf:                    build (3.19.1)

  NVIDIA CUDA:                   YES (ver 11.6, CUFFT CUBLAS FAST_MATH)
    NVIDIA GPU arch:             86
    NVIDIA PTX archs:            86

  cuDNN:                         YES (ver 8.4.0)

  OpenCL:                        YES (NVD3D11)
    Include path:                D:/c++/opencv/3rdparty/include/opencl/1.2
    Link libraries:              Dynamic load


  Install to:                    D:/c++/opencv_build/install

windows运行报错

作者你好，我使用的环境：python3.10.1、系统win11、编程工具pycharm2023.1.2，按照要求安装了4.5.5.64版本的opencv-contrib-python和opencv-python，请问为什么载运行benchmark.py代码的时候会报错呢？

Traceback (most recent call last):
File "F:\demo\benchmark.py", line 43, in
class Matching(object):
File "F:\demo\benchmark.py", line 49, in Matching
'surf': SURF(),
File "F:\demo\image_registration\matching\keypoint\base.py", line 31, in init
self.detector = self.create_detector(**kwargs)
File "F:\demo\image_registration\matching\keypoint\surf\surf.py", line 36, in create_detector
detector = cv2.xfeatures2d.SURF_create(hessianThreshold=hessianThreshold, nOctaves=nOctaves, nOctaveLayers=nOctaveLayers,
cv2.error: OpenCV(4.5.5) D:\a\opencv-python\opencv-python\opencv_contrib\modules\xfeatures2d\src\surf.cpp:1029: error: (-213:The function/feature is not implemented) This algorithm is patented and is excluded in this configuration; Set OPENCV_ENABLE_NONFREE CMake option and rebuild the library in function 'cv::xfeatures2d::SURF::create'

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