awesome-semantic-segmentation-pytorch
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Tramac
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
When I try to reimplement the DenseASPP, I refer to both the official code and this repo, but when it comes to DenseASPP head, I notice the order of conv...
I want to communicate with people, and learn about how to improve the precision. and recently, I run some models, and I got a great precision score. When I try...
In it's current state, you cannot convert CGNet to torchscript using `torch.jit.script.` This is due to how torchscript handles variable resolution. I have changed some of the control flow in...
@Tramac Could you please tell me where to download the basic model?The connection you gave could not be downloaded，thanks
I have trained a model on pytorch1.3. And when I applied the trained model on pytroch1.5 or the newer version to test the same test data, the performance dropped by...
1. The oscillation of loss function is severe 2. The segmentation effect is not good when using your own dataset, and the Miou is too low Why, I look forward...
In train.py, the method 'train()' of Trainer has such sentence: 'iteration = iteration + 1', while it is in a loop of 'enumerate()'. So is it redundant？ ` def train(self):...
