> -----Original Message----- > From: ffmpeg-devel <ffmpeg-devel-boun...@ffmpeg.org> On Behalf Of > Michael Niedermayer > Sent: 2021年2月2日 17:48 > To: FFmpeg development discussions and patches <ffmpeg-devel@ffmpeg.org> > Subject: [FFmpeg-devel] GSoC 2021 > > Hi all > > Most people probably already know but just to be sure everyone knows GSoC > 2021 is 175h not 350h > https://groups.google.com/g/google-summer-of-code-discuss/c/GgvbLrFBcUQ > ?pli=1 > > Some project ideas may need to be adjusted accordingly
hi, for your information. just like last year, to get more chances for GSoC project, I proposed my idea at https://01.org/linuxmedia/news/gsoc-2021-ideas, and also copy here for your convenience. Async support for TensorFlow backend in FFmpeg Description: FFmpeg DNN (deep neural network) module is to enable deep learning based FFmpeg filters with OpenVINO, TensorFlow and Native as its backends. The OpenVINO backend has supported async+batch execution for model inference with commit e67b5d and 64ea15 etc, it shows good performance gain. This project focuses on the async support for TensorFlow backend which invokes TensorFlow C library for model loading and inference. The main difference between the two backends is that OpenVINO API has async execution function while TensorFlow C API does not expose async function, so we need to support async execution by multiple threads within TensorFlow backend with sync function TF_SessionRun. (it is a plus if batch mode is also supported.) Difficulty: Medium Skill Required: C, multiple threads, DNN knowledge, git _______________________________________________ ffmpeg-devel mailing list ffmpeg-devel@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-devel To unsubscribe, visit link above, or email ffmpeg-devel-requ...@ffmpeg.org with subject "unsubscribe".
