Ashwin Kumar
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updatd readme
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README.md
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@@ -21,13 +21,20 @@ MedVAE is a family of six large-scale, generalizable 2D and 3D variational autoe
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Note: Model weights and checkpoints are located in the `model_weights` folder.
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## ⚡️ Installation
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```python
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git clone https://github.com/StanfordMIMI/MedVAE.git
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cd medvae
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pip install -e .
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```
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## 🚀 Usage Instruction
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We allow for easy-to-use CLI inference tool for compressing your high-dimensional medical images into usable latents:
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Note: Model weights and checkpoints are located in the `model_weights` folder.
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## ⚡️ Installation
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To install MedVAE, you can simply run:
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```python
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pip install medvae
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```
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For an editable installation, use the following commands to clone and install this repository.
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```python
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git clone https://github.com/StanfordMIMI/MedVAE.git
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cd medvae
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pip install -e .[dev]
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```
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## 🚀 Usage Instruction
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We allow for easy-to-use CLI inference tool for compressing your high-dimensional medical images into usable latents:
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