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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)

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Traceback (most recent call last): File "train.py", line 340, in trainer = Trainer(args) File "train.py", line 167, in __init__ aux=args.aux, norm_layer=BatchNorm2d).to(self.device) File "/home/lr/桌面/awesome-semantic-segmentation-pytorch-master.2/core/models/model_zoo.py", line 137, in get_segmentation_model return models[model](**kwargs) File...

Hi, great work! A question about overfitting test, have you tried the DeeplabV3+ model?Recently I try to do the same thing but with a picture from Cityscapes with DeeplabV3+ model,...

hello,I use my own datasets,including two classes, I use the pascal_voc to load it ,there are no problems in training and eval process,but the test results are abnormal,for each image,the...

hi, i'm a student. Each image in my dataset is 852*480, and is divided into two categories:raw_data and groundtruth the raw_data contains 236 images and groundtruth contains 236 images which...

running the Dataset download scripts I figured out that the following packages is a not listed requirement: - requests - scipy I know that these packages are well known and...

I ran "python pascal_voc.py --download-dir .../datasets/voc" to download voc dataset, and the dataset was successfully downloaded. But then the error occured, "NotADirectoryError: [Errno 20] Not a directory: '.../datasets/voc/VOCdevkit' ". Is...

I did not find the folder where the model is stored.