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I did this locally and it works perfectly well, but I legally cannot make a pull request. It is simple and easy. On file segmentation_models_pytorch/decoders/segformer/model.py: Line 60: Add upsampling: ...
feature
good first issue
  • thierrypin
  • 1
  • Opened 
    yesterday
  • #1106

Make Decoder Interpolation Mode Accessible in Model Classes Currently, the interpolation mode used in various decoder blocks (e.g., UnetDecoder, DecoderBlock) is either not accesible through main function ...
feature
  • GuillaumeErhard
  • 1
  • Opened 
    yesterday
  • #1104

Hi, while crating a UNet with the timm-res2net50_26w_4s encoder I get the following error. RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you ...
  • marckatzenmaier
  • 4
  • Opened 
    2 days ago
  • #1103

Hi, It might have been dealt with somewhere, but I couldn t find any post about it. Bascially, I m trying to create a model instance without depending on the external network, which means when I instantiate ...
  • Foundsheep
  • 3
  • Opened 
    2 days ago
  • #1102

Hi, I m starting a project in semantic segmentation. However, due to limited hardware, I have to use pre-trained models instead of training them myself. I would be appreciated if anyone can answer my question. ...
  • Student2Pro
  • 2
  • Opened 
    3 days ago
  • #1100

I would like to ask the author which layers of the encoder are used for skip connections with which layers of the UNet decoder. Thank you.
  • YenYunn
  • 6
  • Opened 
    7 days ago
  • #1097

Is it impossible to directly use the original UNet s encoder? Or should I use VGG11 instead, since it is similar to the original UNet s encoder?
  • YenYunn
  • 1
  • Opened 
    14 days ago
  • #1090

How do I use the Vanilla (default) encoder rather than a well-known encoder model (e.g., Resnet, Vgg, etc.)? For instance, I want to use: model = smp.UnetPlusPlus(in_channels=1, encoder_name= default ...
  • emmanuelom
  • 1
  • Opened 
    14 days ago
  • #1089

I m following the example from this notebook while using segmentation_models.pytorch for a semantic segmentation task. For data augmentation, I applied common techniques like cropping and rotation. Specifically, ...
  • wwma
  • 1
  • Opened 
    17 days ago
  • #1088

When running the binary segmentation intro tutorial on Goolge Colab, changing the encoder type to mobilenet_v2 and it will crash the environment during training. No exceptions are thrown, and the application ...
  • taiyungwang
  • Opened 
    18 days ago
  • #1085
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