fbc_cv is an open source image process library.
OpenCV_Test
The main role of the project:
- OpenCV’s usage OpenCV GitHub
- fbc_cv library: an open source image process library
- libyuv’s usage libyuv GitHub
- VLFeat’s usage vlfeat.org
- Vigra’s usage vigra GitHub
- CImg’s usage cimg.eu
- FFmpeg’usage ffmpeg.org
- LIVE555’usage LIVE555.COM
- libusb’usage libusb GitHub
- libuvc’usage libuvc GitHub
- libexif’usage libexif GitHub
The version of each open source library see: version.txt
The project support platform:
- windows10 64 bits: It can be directly build with VS2022 in windows10 64bits.
- Linux:
- OpenCV_Test support cmake build(file position: prj/linux_cmake_OpenCV_Test)
- FFmpeg_Test support cmake build(test code include: FFmpeg, LIVE555; file position: prj/linux_cmake_FFmpeg_Test)
OpenCV’s version: 3.1
- close support for OpenCL/CUDA/SIMD/TBB/OpenMP when build with CMake
- modify modules/core/include/opencv2/core/cvdef.h,close SIMD support: adjust line 167 to: #if 0
- in order to keep the linux and windows results consistent, modify modules/core/include/opencv2/core/fast_math.hpp: make cvFound/cvFloor/cvCeil/cvRound to execute the last branch
- insure that all algorithms are implemented with c++
fbc_cv
- it is an open source image process library
- most of the algorithms come from OpenCV3.1
- it has a template class Mat_ replace of OpenCV’s Mat class: src/fbc_cv/include/core/mat.hpp
- interface names are consistent with OpenCV3.1
- each algorithm’s result is same with OpenCV3.1
- the codes are written in C++ without dependence on any 3rd-party libraries
fbc_cv have been implemented include:
- resize
- cvtColor
- merge/split
- remap
- warpAffine
- rotate
- warpPerspective
- dilate
- erode
- morphologyEx
- threshold
- transpose
- flip
- dft/idft
- Windows DShow, support codec type: mjpeg
- opencv: 2.4.13.6, only get decoded data
- ffmpeg: 4.2, only get encoded data
Python code(support windows and linux platform):
- environment configuration
- install anaconda
- install imagemagick
- execute the following command:
conda create -n OpenCV_Test python=3.9 conda activate OpenCV_Test git clone https://github.com/fengbingchun/OpenCV_Test cd OpenCV_Test/demo/Python pip install -r requirements.txt - modify Anaconda3/envs/OpenCV_Test/Lib/site-packages/moviepy/config_defaults.py
IMAGEMAGICK_BINARY = os.getenv('IMAGEMAGICK_BINARY', 'auto-detect') # original statement IMAGEMAGICK_BINARY = os.getenv('IMAGEMAGICK_BINARY', 'the magick executable for the actual path, for example: C:\Program Files\ImageMagick-7.1.1-Q16-HDRI\magick.exe') # modified statement
- features
Screenshot:
Blog:
fbc_cv library licence: uses the same licence as OpenCV3.1