TorchLight
commited on
Commit
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Parent(s):
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update drafts model
Browse files- README.md +51 -2
- BinaryModel-TFNVer.h5 → cent_resnet18.pth +2 -2
- cent_resnet50.pth +3 -0
- class_resnet18.pth +3 -0
- class_resnet50.pth +3 -0
README.md
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tags:
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- Astronomy
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- Classification
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---
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<div align="center">
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<h1 style="font-size:40px;font-weight:bold">DRAFTS</h1>
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_✨ Deep learning-based RAdio Fast Transient Search pipeline
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</div>
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## <div align="center">Description</div>
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Here is the model repository for the Deep learning-based RAdio Fast Transient Search pipeline ([DRAFTS](https://github.com/SukiYume/DRAFTS)).
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Currently, we have uploaded the TensorFlow version of the binary classification model for the DRAFTS pipeline.
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We invite you to stay tuned for updates on the remaining components and different versions of the models.
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tags:
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- Astronomy
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- Classification
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- Object Detection
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---
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<div align="center">
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<h1 style="font-size:40px;font-weight:bold">DRAFTS</h1>
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_✨ Deep learning-based RAdio Fast Transient Search pipeline✨_
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<img src="https://counter.seku.su/cmoe?name=APOD&theme=r34" /><br>
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</div>
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## <div align="center">Description</div>
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Here is the model repository for the Deep learning-based RAdio Fast Transient Search pipeline ([DRAFTS](https://github.com/SukiYume/DRAFTS)).
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We invite you to stay tuned for updates on the remaining components and different versions of the models.
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## <div align="center">Usage</div>
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There are four `.pth` files in this repository.
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### Object Detection
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The files starting with `cent` are the trained model checkpoints for the object detection models in the [DRAFTS](https://github.com/SukiYume/DRAFTS) project.
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To load the object detection model
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```python
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import torch
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from centernet_model import centernet
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base_model = 'resnet18' # 'resnet50'
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model = centernet(model_name=base_model)
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model.load_state_dict(torch.load('cent_{}.pth'.format(base_model)))
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model.eval()
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```
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### Binary Classification
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The files starting with `class` are the trained model checkpoints for the classification models in the [DRAFTS](https://github.com/SukiYume/DRAFTS) project.
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To load the classification detection model
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```python
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import torch
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from binary_model import BinaryNet
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base_model = 'resnet18' # 'resnet50'
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model = BinaryNet(base_model, num_classes=2)
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model.load_state_dict(torch.load('class_{}.pth'.format(base_model)))
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model.eval()
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```
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## <div align="center">Contributing</div>
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We welcome contributions to the DRAFTS project! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request on our [GitHub repository](https://github.com/SukiYume/DRAFTS).
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## <div align="center">Contact</div>
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For any questions or inquiries, please contact us at ykzhang@nao.cas.cn or ykzhang@escape.ac.cn
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<div align="center">
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✨ Thank you for using DRAFTS! ✨
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</div>
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BinaryModel-TFNVer.h5 → cent_resnet18.pth
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:85c97ce654222410ff1f581e80302ebddfe3479f65bcb03a867068c9806d650f
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size 75519014
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cent_resnet50.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:510f5b6b3049567178d4aa7c22ec9d37d378f165ee540b02b82e1cc58a6b100d
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size 153397676
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class_resnet18.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c9c6b4b990596bd07ddfb5527c21cd689247d5026b2815bd1b6ce5294e66cc6
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size 44766392
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class_resnet50.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b75c14256fc1909dca7ecea2f4e2c3af05eff400d4d615c5249b90e39325acc
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size 94347198
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