SpatioTemporalSegmentation
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Model Zoo conv1_kernel_size mismatch
Hello,
I noticed that you have put a pertained Mink16UNet34C model.
However, I don't think this is a correct pretrained model.
If you load the model of the model zoo with model.load_state_dict(torch.load(file_path))['state_dict'] you can see that conv0p1s1 has kernel size of 3, while your implementation of MinkUNet34 has kernel size of 5 in the Minkowski Engine
If you look at the indoor.py and get the pretrained model of via link that you've uploaded, I think you can get the correct pretrained model.
Please let me know if I'm mistaken. Thanks,
Ah thanks for letting me know. It is the same weight, but you have to use the argument python main.py --conv1_kernel_size 5 ... for the weights. I'll update the ModelZoo description.
It is 0.2% mIoU lower than the current one I put on the Model Zoo in this repository. But for all purposes, they are pretty state of the art.
Thanks for the quick response!!