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update drafts model

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README.md CHANGED
@@ -3,20 +3,69 @@ license: mit
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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 (Under Construction)✨_
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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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+
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+ There are four `.pth` files in this repository.
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+
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+ ### Object Detection
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+
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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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+
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+ To load the object detection model
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+
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+ ```python
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+ import torch
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+ from centernet_model import centernet
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+
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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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+
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+ ### Binary Classification
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+
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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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+
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+ To load the classification detection model
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+
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+ ```python
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+ import torch
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+ from binary_model import BinaryNet
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+
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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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+
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+
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+ ## <div align="center">Contributing</div>
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+
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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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+
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+
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+ ## <div align="center">Contact</div>
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+ For any questions or inquiries, please contact us at [email protected] or [email protected]
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+
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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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