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Fix video processing channel format #41603

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Merged
merged 2 commits into from
Oct 15, 2025
Merged

Fix video processing channel format #41603

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50bbd66
fix
zucchini-nlp Oct 15, 2025
30ea4e6
Merge branch 'main' into fix-vjep
zucchini-nlp Oct 15, 2025
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10 changes: 8 additions & 2 deletions src/transformers/video_processing_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,12 +57,12 @@
VideoInput,
VideoMetadata,
group_videos_by_shape,
infer_channel_dimension_format,
is_valid_video,
load_video,
make_batched_metadata,
make_batched_videos,
reorder_videos,
to_channel_dimension_format,
)


Expand Down Expand Up @@ -338,10 +338,16 @@ def _prepare_input_videos(
for video in videos:
# `make_batched_videos` always returns a 4D array per video
if isinstance(video, np.ndarray):
video = to_channel_dimension_format(video, ChannelDimension.FIRST, input_data_format)
# not using F.to_tensor as it doesn't handle (C, H, W) numpy arrays
video = torch.from_numpy(video).contiguous()

# Infer the channel dimension format if not provided
if input_data_format is None:
input_data_format = infer_channel_dimension_format(video)

if input_data_format == ChannelDimension.LAST:
video = video.permute(0, 3, 1, 2).contiguous()

if device is not None:
video = video.to(device)

Expand Down