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Traceback (most recent call last):
File "D:\unet3\UNet3Plus-main\UNet3Plus-main\train.py", line 494, in
flag=fit_one_epoch(model_train, model, loss_history, eval_callback, optimizer, epoch,
…
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Traceback (most recent call last):
File "train.py", line 202, in
lr=args.lr, device=device, img_scale=args.scale, val_percent=args.val / 100)
File "train.py", line 95, in train_net
sc…
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hi, I using "UNet3Plus_DeepSup" network to train, meeting a problem:"masks_pred = net(imgs)" in train.py,the masks_pred is a tuple which contains 5 values. then, I confusing how to compute "masks_pre…
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Dear all,
I hope you're going well.
I would like to use the given exemple using Unet3p on Oxford Pet dataset with a dataset containing gray images as input (masks have 3 labels, namely 1 2 3).
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i train the v3 with my own data that with lables 0:backgrounbd and 1:portrait, just two classes ,so the n_classes=1 , but you masks labels are 1-255 , and my train loss is not change and the test res…
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### 问题确认 Search before asking
- [X] 我已经查询[历史issue](https://github.com/PaddlePaddle/PaddleSeg/issues)(包括open与closed)，没有发现相似的bug。I have searched the [open and closed issues](https://github.com/Paddle…
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is that wrong?
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* Good to go with datacubes for inference
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The new datacube version training has bad performance
Training looks alright, though not great
IoU and F1 = 0
能正常训练，打开deepsup和CSM，model = UNet3Plus(in_channels=3, num_classes=2, is_deepsup=True, is_CGM=True)，训练报错。
报错代码…