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--- |
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license: mit |
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--- |
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# Model Card for DiffuSETS |
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## Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Yongfan Lai |
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- **License:** mit |
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### Source Code |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** [Github](https://github.com/Raiiyf/text2ecg) |
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### Assets List |
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- **prerequisites_for_inference.zip**: |
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``` |
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prerequisites/ |
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├── clf_data/ : Directory contains data for imbalanced classification experiments |
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├── clip_model.pth : CLIP model checkpoints. |
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├── mimic_vae_lite_0_new.pt : Subsets of VAE encoding latents of MIMIC IV ECG dataset. |
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├── ptbxl_text_embed.csv : Pre-generated text embeddings of PTB-XL dataset |
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├── ptbxl_vae.pt : VAE encoding latents of PTB-XL dataset. |
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├── unet_all.pth : A pretrained full capacity DiffuSETS model. |
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└── vae_model.pth : VAE model checkpoints suit for the unet model and latent datasets above. |
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``` |
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- **mimic_vae_lite_0_new.zip**: |
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``` |
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prerequisites/ |
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└── mimic_vae_0_new.pt: VAE encoding latents of MIMIC IV ECG dataset. Only needed while training. |
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``` |
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## Usage |
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**Quick Start:** Download and unzip the prerequisites_for_inference.zip, place the `./prerequisites` folder under repo's root, then start ECG generation through |
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```sh |
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python DiffuSETS_inference.py path/to/your/config.json |
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``` |
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or |
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```sh |
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python -m test_scripts.diversity |
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``` |
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**For users want to train from scratch:** Besides above prerequisites_for_inference.zip, the mimic_vae_0_new.pt (training data encoded by vae) should also be downloaded and put into the `./prerequisites` folder. |
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For more details about training and inference, please refer to our [github repo page](https://github.com/Raiiyf/text2ecg) |
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