Push model using huggingface_hub.
Browse files- README.md +63 -0
- config.json +27 -0
- model.safetensors +3 -0
README.md
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---
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library_name: segmentation-models-pytorch
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license: mit
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pipeline_tag: image-segmentation
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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- segmentation-models-pytorch
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- semantic-segmentation
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- pytorch
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languages:
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- python
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---
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# DeepLabV3Plus Model Card
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Table of Contents:
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- [Load trained model](#load-trained-model)
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- [Model init parameters](#model-init-parameters)
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- [Model metrics](#model-metrics)
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- [Dataset](#dataset)
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## Load trained model
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```python
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import segmentation_models_pytorch as smp
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model = smp.from_pretrained("<save-directory-or-this-repo>")
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```
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## Model init parameters
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```python
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model_init_params = {
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"encoder_name": "tu-resnet18d",
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"encoder_depth": 5,
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"encoder_weights": "imagenet",
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"encoder_output_stride": 16,
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"decoder_channels": 256,
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"decoder_atrous_rates": (20, 15, 6),
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"decoder_aspp_separable": True,
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"decoder_aspp_dropout": 0,
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"in_channels": 10,
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"classes": 9,
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"activation": None,
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"upsampling": 4,
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"aux_params": None,
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"global_pool": "avgmax",
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"drop_rate": 0.030244232449387346,
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"drop_path_rate": 0.43231510659674255,
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"zero_init_last": True,
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"block_args": {'attn_layer': 'eca'}
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}
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```
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## Model metrics
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[More Information Needed]
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## Dataset
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Dataset name: [More Information Needed]
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## More Information
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- Library: https://github.com/qubvel/segmentation_models.pytorch
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- Docs: https://smp.readthedocs.io/en/latest/
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin)
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config.json
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{
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"_model_class": "DeepLabV3Plus",
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"activation": null,
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"aux_params": null,
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"block_args": {
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"attn_layer": "eca"
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},
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"classes": 9,
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"decoder_aspp_dropout": 0,
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"decoder_aspp_separable": true,
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"decoder_atrous_rates": [
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20,
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15,
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6
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],
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"decoder_channels": 256,
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"drop_path_rate": 0.43231510659674255,
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"drop_rate": 0.030244232449387346,
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"encoder_depth": 5,
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"encoder_name": "tu-resnet18d",
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"encoder_output_stride": 16,
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"encoder_weights": "imagenet",
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"global_pool": "avgmax",
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"in_channels": 10,
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"upsampling": 4,
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"zero_init_last": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26c9a610f3b8d474a43b30d54cad3b07cdaf4f25466aa00bd1b01b9342d21a83
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size 49486852
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