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Signed-off-by: Chris Abraham <[email protected]>
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_posts/2024-12-10-torchcodec.md

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@@ -65,8 +65,8 @@ For this reason, we’ve paid particular attention to our decoder’s performanc
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1. Decoding and transforming frames from multiple videos at once, inspired by what we have seen in data loading for large-scale training pipelines:
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a. Ten threads decode batches of 50 videos in parallel.
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b. For each video, decode 10 frames at evenly spaced times.
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a. Ten threads decode batches of 50 videos in parallel.
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b. For each video, decode 10 frames at evenly spaced times.
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c. For each frame, resize it to a 256x256 resolution.
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2. Decoding 10 frames at random locations in a single video.

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