this is a model that takes in visual information and sound information and applys edits accordingly, it can also be trained to
follow the editors style of editing but you will need atleast 16 cores (32 threads) and 60 gigs of ram to train.
the data sets are the videos i used in the edits and the exported xml files from the finished edits
havent tested:
-Premier pro
-etc.
1from EdAixml import VideoAudioFeatureExtractor
2
3extractor = VideoAudioFeatureExtractor("D:\\path\\to\\video.mp4", "D:\\path\\to\\Export\\Location\\generated.xml")
4extractor.process_video()
