# OpenCV_Test

**Repository Path**: luo_zhi_cheng/OpenCV_Test

## Basic Information

- **Project Name**: OpenCV_Test
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-02-29
- **Last Updated**: 2024-02-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# OpenCV_Test
**The main role of the project:**
- OpenCV's usage [OpenCV GitHub](https://github.com/opencv/opencv)
- fbc_cv library: an open source image process library
- libyuv's usage [libyuv GitHub](https://github.com/lemenkov/libyuv)
- VLFeat's usage [vlfeat.org](http://www.vlfeat.org/)
- Vigra's usage [vigra GitHub](https://github.com/ukoethe/vigra)
- CImg's usage [cimg.eu](http://www.cimg.eu/)
- FFmpeg'usage [ffmpeg.org](https://ffmpeg.org/)
- LIVE555'usage [LIVE555.COM](http://live555.com/)
- libusb'usage [libusb GitHub](https://github.com/libusb/libusb)
- libuvc'usage [libuvc GitHub](https://github.com/libuvc/libuvc)
- libexif'usage [libexif GitHub](https://github.com/libexif/libexif)


**The version of each open source library see:** [version.txt](src/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](https://www.anaconda.com/download#downloads)
	- [install imagemagick](https://imagemagick.org/script/download.php) 
	- 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
	- [camera calibration](demo/Python/test_camera_calibration.py)
	- [add text or image to the video](demo/Python/test_moviepy.py)
	- [image generic operations](demo/Python/image_generic_operations.py)

**Screenshot:**
![](prj/x86_x64_vc12/Screenshot.png)

**Blog:**
- [opencv/fbc_cv](https://blog.csdn.net/fengbingchun/article/category/721609)
- [ffmpeg/live555](https://blog.csdn.net/fengbingchun/article/category/3069675)

**fbc_cv library licence: uses the same licence as OpenCV3.1**