[FIX] ResNet-18 accuracy 68.934 -> 69.752 #62
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The problem was with resize step in the preprocessing. The problem pretty much described in resize docs : "The output image might be different depending on its type: when downsampling, the interpolation of PIL images and tensors is slightly different, because PIL applies antialiasing. This may lead to significant differences in the performance of a network".
zimmerrol
approved these changes
Jun 27, 2022
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The problem was with resize step in the preprocessing.
The problem is pretty much described in resize docs: "The output image might be different depending on its type: when downsampling, the interpolation of PIL images and tensors is slightly different, because PIL applies antialiasing. This may lead to significant differences in the performance of a network".
For ResNet-18, accuracy still slightly differs from https://pytorch.org/vision/stable/models.html. Our preprocessing pipeline (without PIL) achieves 69.752, when pytroch pipeline (with PIL) achieves 69.758.