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keras implementation of custom backbones
Hello, and thank you for this excellent work,
But I was wondering about the possibility of obtaining weights
resnet50_weights_tf_dim_ordering_tf_kernels.h5
If there is no way to get it, can you give some advice about training it on data ImageNet,
For your information, I have downloaded resnet50 standard weights from TF-V1 and TF-v2 and the number of layers mismatch appears,
Or this error<..
ValueError: You are trying to load a weight file containing 107 layers into a model with 139 layers.
and,
Can I take advantage of the following checkpoints?? ,
We release configs and checkpoints of the ResNet-RS model family trained on ImageNet in Tensorflow 1.
Model | Input Size | V100 Lat (s) | TPU Lat (ms) | Top-1 Accuracy | Download |
---|---|---|---|---|---|
ResNet-RS-50 | 160x160 | 0.31 | 70 | 78.8 | config | ckpt |
ResNet-RS-101 | 160x160 | 0.48 | 120 | 80.3 | config | ckpt |
ResNet-RS-101 | 192x192 | 0.70 | 170 | 81.2 | config | ckpt |
ResNet-RS-152 | 192x192 | 0.99 | 240 | 82.0 | config | ckpt |
ResNet-RS-152 | 224x224 | 1.48 | 320 | 82.2 | config | ckpt |
ResNet-RS-152 | 256x256 | 1.76 | 410 | 83.0 | config | ckpt |
ResNet-RS-200 | 256x256 | 2.86 | 570 | 83.4 | config | ckpt |
ResNet-RS-270 | 256x256 | 3.76 | 780 | 83.8 | config | ckpt |
ResNet-RS-350 | 256x256 | 4.72 | 1100 | 84.0 | config | ckpt |
ResNet-RS-350 | 320x320 | 8.48 | 1630 | 84.2 | config | ckpt |
ResNet-RS-420 | 320x320 | 10.16 | 2090 | 84.4 | config | ckpt |
Thank you and good luck to you anyway
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