Pretrained Microscopy Encoder - resnext101 (micronet)
This is a resnext101
encoder pretrained on micronet
microscopy datasets, prepared for use with segmentation_models.pytorch.
Models originally pretrained for pretrained-microscopy-models
Model Details
- Architecture: resnext101
- Pretrained on: micronet
- Input shape: RGB images
- Framework: PyTorch
- Use case: Feature extraction, segmentation backbone
Files
encoder_weights.pth
- PyTorchstate_dict()
of the encoderREADME.md
- This model cardencoder.py
- Sample code to use the encoder within UNet.
License
mit
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