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Update README.md
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README.md

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@@ -34,7 +34,7 @@ where:
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```python
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from heartSegClinic.python_api import heartSegClinic
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if __name__ == "__main__":
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# Provide input and output as file paths
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# Provide input folder/file path and output folder
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heartSegClinic(input_path, output_path)
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```
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@@ -63,15 +63,15 @@ cd <repo_name>/
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conda create -n heartSeg_310 python=3.10.13
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conda activate heartSeg_310
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#Install repo as package
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pip install -e .
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pip install .
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```
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### **[Without conda] Using pip only with an activated python env having Python 3.10.13 :**
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```
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# Inside cloned repository
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cd <repo_name>/
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pip install -e .
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pip install .
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```
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### **[Without conda] Using pyenv to create python 3.10.13 environment using CLI:**
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#6. Install pip packages after activating the heartSeg python environment
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git clone <REPO_URL>
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cd <REPO_NAME>/
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pip install -e .
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pip install .
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```
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Now that the python env is created and all the packages required are installed, you can run the main inference script from CLI :
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```python
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from heartSegClinic.python_api import heartSegClinic
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if __name__ == "__main__":
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# Provide input and output as file paths
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# Provide input folder/file path and output folder
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heartSegClinic(input_path, output_path)
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```
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