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Releases: RaivoKoot/Video-Dataset-Loading-Pytorch

v2.2

31 Dec 15:19
@RaivoKoot RaivoKoot
2.2
d0903e0
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A refactored version, with cleaner and more understandable internal code.

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Stable

18 Dec 12:08
@RaivoKoot RaivoKoot
2.1
868480d
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Stable

Fixed previous bug.
Added support for multiple integer labels per clip.

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Buggy Release

09 Dec 19:21
@RaivoKoot RaivoKoot
2.0
dcbd456
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Buggy Release

Breaking change from 1.0, where in annotations.txt you now need to supply START_FRAME and END_FRAME per sample instead of just NUM_FRAMES. This allows you to use small clips from a whole video if needed.

BUG:
Didn't load enough frames when FRAMES_PER_SEGMENT > 1

Assets 2

Stable

13 Nov 11:01
@RaivoKoot RaivoKoot
1.0
4c9b533
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Stable

Load videos into PyTorch
Features:

  • A frame sampling strategy that helps with training (Sparse Temporal Sampling - "Temporal Segment Networks")
  • A very fast video loading pipeline that eliminates input bottlenecks
  • Generic and therefore usable with custom datasets with minimum effort
  • Easy out-of-the-box support for torchvision 0.8.0's video-level augmentations/transforms (identical image transforms on an image batch)

Extensive documentation at https://video-dataset-loading-pytorch.readthedocs.io/

Assets 2