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1. Errors in loading the pretrained model resnet50.
What is the kernel size of the layers: module.layer0.0.weight, module.layer0.3.weight, module.layer0.6.weight
2. Low cityscape performance with pretrained pspnet50. mIoU/mAcc/allAcc 0.6444/0.7284/0.9410
I set the kernel size to 3 in the layers: layer1.0.conv1.weight and layer1.0.downsample.0.
I trained with 4 RTX 2080t GPUs and the set the batch_size to 12.
The text was updated successfully, but these errors were encountered:
1. Errors in loading the pretrained model resnet50.
What is the kernel size of the layers: module.layer0.0.weight, module.layer0.3.weight, module.layer0.6.weight
2. Low cityscape performance with pretrained pspnet50. mIoU/mAcc/allAcc 0.6444/0.7284/0.9410
I set the kernel size to 3 in the layers: layer1.0.conv1.weight and layer1.0.downsample.0.
I trained with 4 RTX 2080t GPUs and the set the batch_size to 12.
The text was updated successfully, but these errors were encountered: