洞察探索open banking如何通过小程序容器技术助力金融企业实现数据安全和数字化转型
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2022-10-18
scikit-video:SciPy 视频处理常用程序
scikit-video
Video Processing SciKit BETA
Video processing algorithms, including I/O, quality metrics, temporal filtering, motion/object detection, motion estimation...
This is intended as a companion to scikit-image, containing all the algorithms which deal with video. There is a certain degree of overlap between image and video algorithms, for example a PSNR quality metric could be applied to pairs of images or pairs of video frames just as well. However, other algorithms are video-specific, for example a temporal denoise. This is the future home of the video-specific algorithms, as well as some of the algorithms which are not strictly video specific but are usually seen in a video context.
This also has some overlap with OpenCV. Roughly, the algorithms implemented here would be easier to hack on, and more research-oriented. Rather than building on top of a C/C++ framework, this will stay Python all the way, using whichever combinaiton of Numba/Theano/etc seems best for performance. This should add flexibility and better future ability to use GPU compute.
The project milestones are roughly:
Add skeleton project from scikit-example - DONEAdd video I/O by wrapping ffmpeg/avconv (similar to kanryu/pipeffmpeg) - DONEAdd video metrics (from aizvorski/video-quality) - DONEMore contributions roll in :)
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