Similar to issue #11 getting RuntimeError(f'<UntrimmedVideoDataset>: got clip of length {vframes.shape[0]} != {self.clip_length}.'

[vc-30]

I am working with ActivityNet-v1.3 data converted to grayscale.

I followed the preprocessing step highlighted here.

However, I am still facing this issue similar to #11 , wanted to check if I am missing something or if there are any known fixes.

Example from the log:

1. RuntimeError: <UntrimmedVideoDataset>: got clip of length 15 != 16.filename=~/ActivityNet/grayscale_split/train/v_bNuRrXSjJl0.mp4, clip_t_start=227.63093165194988, clip_t_end=228.69759831861654, fps=30.0, t_start=219.1265882558503, t_end=228.7

2. RuntimeError: <UntrimmedVideoDataset>: got clip of length 13 != 16.filename=~/ActivityNet/grayscale_split/train/v_nTNkGOtp7aQ.mp4, clip_t_start=33.341372258903775, clip_t_end=34.408038925570445, fps=30.0, t_start=25.58139772698908, t_end=34.53333333333333

3. RuntimeError: <UntrimmedVideoDataset>: got clip of length 1 != 16.filename=~/ActivityNet/grayscale_split/train/v_7Iy7Cjv2SAE.mp4, clip_t_start=190.79558490339477, clip_t_end=191.86225157006143, fps=30.0, t_start=131.42849249141963, t_end=195.0

Also, is there a recommended way to skip these files instead of raising the issue while training. The above issues came for different runs and at different epochs.

[vc-30]

Update: There was an issue with the video-duration in csv file, I could fix it by correcting it. Closing this issue for now.