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Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.
๐ง Work in Progress!
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Hello! I was wondering why are you setting the BatchNorm layers to eval()? I usually only set the weight decay to 0 for BN layers and biases so that those layers still learn.
Hi,
Can you please tell me the activation function used in the EfficientNet Backbone, i could not find any activation function being used.
Please correct me if I am wrong.
If any activation function is being used, can you point me the piece of code.
Thanks.
Hello @ViswanathaReddyGajjala
I would like to thank you to share your code. I am getting good results with my custom dataset.
I would suggest to you update your url_map parameter that was updated by @lukemelas in its original code.
url_map = {
'efficientnet-b0': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b0-355c32eb.pth',
'efficientnet-b1': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b1-f1951068.pth',
'efficientnet-b2': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b2-8bb594d6.pth',
'efficientnet-b3': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b3-5fb5a3c3.pth',
'efficientnet-b4': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b4-6ed6700e.pth',
'efficientnet-b5': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b5-b6417697.pth',
'efficientnet-b6': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b6-c76e70fd.pth',
'efficientnet-b7': 'https://github.com/lukemelas/EfficientNet-PyTorch/releases/download/1.0/efficientnet-b7-dcc49843.pth',
}
Regards
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