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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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Newbie here, anyone willing to share code for making predictions on my test image without masks? Model is well trained, just struggling to code the dataloader so I can make...

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On sagemaker studio, `ml.g4dn.xlarge` instance and pytorch 1.10 kernel, the notebook raises an error at `trainer.fit`: ``` /opt/conda/lib/python3.8/site-packages/torch/_utils.py in reraise(self) 432 # instantiate since we don't know how to 433...

Hi, Thanks for your work. I used your code to train a multi-class segmentation task. I have 10 classes, but after training, the output mask just have 8 classes( using...

Hello, I am trying to run the following snippet: ```python from segmentation_models_pytorch.encoders import get_preprocessing_fn preprocess_input = get_preprocessing_fn('resnet34', pretrained='imagenet') for img, mask in trainloader: print(x.size()) x = preprocess_input(x) print(x.size()) break ```...

I have trained two unet++ models and the model format is in **.pth**. A few days ago I can load the model but now I cannot load it anymore. I...

module 'segmentation_models_pytorch' has no attribute 'utils'

https://github.com/googlecolab/colabtools/blob/master/examples/binary_segmentation_intro.ipynb linked on readme returns Notebook not found

It uses the old repo version and metrics so it wont work with the latest version. Thanks, Sam

I trained a model of `timm-efficientnet-b5` with `imagenet` pretrained weights on my custom dataset. The train & val process works good. Then when I loaded it back in another script...