awesome-semantic-segmentation-pytorch
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Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Hello author! Thank you for your hard work. I have some questions about the calculation of per class IoU. 1. In the core/utils/score.py, the mIoU = area_inter / area_union. In...
As the title say, I find the jpu paramters not add to optim. That makes the jpu module's paramters not change. But interenting things is: when I add the jpu...
If I interrupt multi-GPU training, sometimes there will be several zombie processes. How can I avoid this situation?
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/pytorch/aten/src/THCUNN/SpatialClassNLLCriterion.cu:103: void cunn_SpatialClassNLLCriterion_updateOutput_kernel(T *, T *, T *, long *, T *, int, int, int, int, int, long) [with T = float, AccumT = float]: block: [0,0,0], thread: [987,0,0] Assertion...
could you tell me can it be used on torch1.2?please
mIou
What is the best performing mIou for these models? I only got 76.7%...
Hi, thanks for your project. Do you have your trained model? and I want to finetune with this model.