Hi, Em sex, 19 de abr de 2019 às 05:41, Guo, Yejun <yejun....@intel.com> escreveu: > > Option 2) > Write c code in FFmpeg to convert tensorflow file format (format 1) directly > into memory representation (format 3), and so we controls everything in > ffmpeg community. And the conversion can be extended to import more file > formats such as torch, darknet, etc. One example is that OpenCV uses this > method. > > The in memory representation (format 3) can still be current. >
Option 2 would be ideal, as it does not introduce any dependency for using the native backend. Yet I'm not sure how complex implementing the tf model reader can be, If I remember correctly the student said it was not trivial at the time. Is the tf model file stable? if not it will be a maintenance burden to keep it working whenever tf releases a new version. This point makes me think having control over our file format is good. _______________________________________________ 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".
