EfficientUNetPlusPlus
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jlcsilva
Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, while b...
Hello,Sir! Thanks for your sharing! But I encountered some difficulties when I trained the model using my own data. Could you give me some advice? Thanks! Best Wishes！ ''' Traceback...
Hello! Thanks for your work! But I encountered some difficulties when I run `python train.py -d DRIVE -enc timm-efficientnet-b0`： Could you tell me what the problem is and how can...
Hello, thanks for your work! But when I performed inference, I only saw the predicted images. I wanted to ask if there was any code for metrics like precision?
Hi @jlcsilva thanks for your repository and paper. It was really interesting to read it but I cannot find any evaluation of your approach on public datasets. You mentioned DRIVE...
Segmentation Models: using `keras` framework. INFO: Using device cuda Traceback (most recent call last): File "train.py", line 169, in net = smp.EfficientUnetPlusPlus(encoder_name=args.encoder, encoder_weights="imagenet", in_channels=3, classes=n_classes) AttributeError: module 'segmentation_models' has no...
Hello ! Sir ! There are always a lot of fractures in the predicted results. Is there any post-treatment process? Look forward to your guidance!
Hello, thank you for your work. After I repeated your project, I found that there were many breakpoints. Do you do any subsequent breakpoint repair work