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image-classification
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Hi, thanks for the great code!
I wonder do you have plans to support resuming from checkpoints for classification? As we all know, in terms of training ImageNet, the training process is really long and it can be interrupted somehow, but I haven't notice any code related to "resume" in scripts/classification/train_imagenet.py.
Maybe @hetong007 ? Thanks in advance.
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resuming training
How do i resume training for text classification?
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Yolov3 slow?
with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!
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There is a set of Pixel Level transforms that is used in the work
Benchmarking Neural Network Robustness to Common Corruptions and PerturbationsThe authors also share the code => we can absorb some transforms that they have into the library.
https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py