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RGB Input Pipelines: Throughput, GPU Memory, and Transformation Coverage

Iglovikov, Vladimir
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionperformance
An image-augmentation pipeline must deliver a complete batch before a model can use it. We compare seven input paths from five libraries, starting with RGB JPEG files and ending with a synchronized CUDA float16 batch. We manually matched transformation recipes and parameters across libraries to make
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