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

Results 155 segmentation_models.pytorch issues
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I'm not familiar with the internal structure of the Unet model. However, I have one assumption, which I think is reasonable, that when I increase the number of output channels,...

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I used this awesome repo for my own work and added pt-lightning for my work. Now I want to be usefull and add this example to orig repo. Should I...

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suggestion - add line: eps=torch.tensor(1e-07, dtype=torch.float32) or eps=torch.tensor(1e-07, dtype=gt.dtype)

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https://github.com/Lightning-AI/pytorch-lightning/pull/16520 error: PetModel.on_validation_epoch_end() missing 1 required positional argument: 'outputs'

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my masks shape is (512, 512), when i start the fitting i get an error of miss matching axes , i think the problem is here : ### **def to_tensor(x,...

`model = smp.Unet( encoder_name="vgg19", # choose encoder, e.g. mobilenet_v2 or efficientnet-b7 encoder_weights="imagenet", # use `imagenet` pre-trained weights for encoder initialization in_channels=3, # model input channels (1 for gray-scale images, 3...

The latest version of Pillow does not support Image. LINEAR. A similar option that we can use is Image.BILINEAR. Reff: [PIL.Image.LINEAR no longer exists #5010](https://github.com/facebookresearch/detectron2/issues/5010)

Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 0.9.7 to 1.0.3. Release notes Sourced from timm's releases. Release v1.0.3 May 14, 2024 Support loading PaliGemma jax weights into SigLIP ViT models with average pooling. Add...

dependencies

Make most of the models from timm compatible with decoders (including transformers and convnext models)

Bumps [timm](https://github.com/huggingface/pytorch-image-models) from 0.9.7 to 1.0.7. Release notes Sourced from timm's releases. Release v1.0.7 June 12, 2024 MobileNetV4 models and initial set of timm trained weights added: model top1 top1_err...

dependencies