Closed BinZhu-ece closed 2 years ago
All models are trained on 16 frames, sliced from the original videos. The number of seconds those 16 frames represent depends on the original frame rate of the video, which varies for different datasets.
BAIR robot dataset has shorter videos (I think ~40 frames), while datasets like UCF-101 have much longer videos (30fps, ~5-10 minutes).
All models are trained on 16 frames, sliced from the original videos. The number of seconds those 16 frames represent depends on the original frame rate of the video, which varies for different datasets.
BAIR robot dataset has shorter videos (I think ~40 frames), while datasets like UCF-101 have much longer videos (30fps, ~5-10 minutes).
Thank you very much for your reply! Are the 16 frames evenly sampled from the video or in another way ?
The frames are sampled evenly with a stride of 1, i.e. for a video with X frames, 16 consecutive frames are randomly sampled
The frames are sampled evenly with a stride of 1, i.e. for a video with X frames, 16 consecutive frames are randomly sampled
Can you show the code location of this? Thanks.
How many frames (seconds) are there in each video sample used in the training process? What’‘s the video length in the dataset? Did you directly use the complete video or slice the video?