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Classification with Torch Vision ResNet and pre-trained Weights

Just a simple bit of code that classifies an imagee using torchvision’s pre-trained weights for the ResNet model.

There’s no fxn decoration here (yet), just python. But images are preprocessed explicitly to the correct size/format/weight without calling the model’s transforms() method.

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Classify images with torchvision preconfigured ResNet model

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