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Add get_image_metadata() with JPEG support - #1788
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/meta-pytorch/torchcodec/1788
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Adds get_image_metadata(source) -> ImageMetadata(format, width, height, num_channels, bit_depth, num_frames, rotation), which parses the image headers without decoding. Every field describes the output of the decoders: post-rotation width/height, channels with mode="UNCHANGED", bit_depth > 8 iff output_dtype="auto" returns uint16, and rotation with the same convention as VideoStreamMetadata.rotation. Paths are read lazily, so only the headers are read. This PR adds the core and JPEG support, parsed in Python (faster than calling into libjpeg).
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NicolasHug
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Oct 28, 2026
| # is constant. | ||
| for diff in seconds_between_clip_starts: | ||
| assert diff == pytest.approx(seconds_between_clip_starts[0], abs=0.05) | ||
| assert diff == pytest.approx(seconds_between_clip_starts[0].item(), abs=0.05) |
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drive for new pytest version which tries to iterate on this 0-d tensor (ugh)
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October 28, 2026 11:14
This was referenced Oct 28, 2026
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First of various PRs to add image metadata probing. This one is for JPEG. The probes are 100% vibed, obviously. Some will be in Python, some will be in C++, depending on benchmark results on small and large image files.
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get_image_metadata(source) -> ImageMetadata(format, width, height, num_channels, bit_depth, num_frames, rotation), which parses the image headers without decoding. Every field describes the output of the decoders: post-rotation width/height, channels with mode="UNCHANGED", bit_depth > 8 iff output_dtype="auto" returns uint16, and rotation with the same convention as VideoStreamMetadata.rotation.Stack created with GitHub Stacks CLI • Give Feedback 💬