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@@ -9,17 +9,17 @@ Installation
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If you use any Python IDE (VSCode, PyCharm, Spyder, etc...), just:
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- Either import the project into your IDE through git/github OR Create a new project and download all the repository code from github into it.
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- Create a virtual environment for that project.
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- Install the project requirements through your IDE.
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- Install the project requirements through your IDE. Make sure the packages versions match, as IDEs try to be too smart some times.
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If you want to install it via basic Python virtual environment:
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- Install `python3`, `pip` and `virtualenv` in case you don't have them yet.
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- Navigate to your desired working directory.
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- Example: `cd /home/lab/sandbox`
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- Create a virtual environment:
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- Example: `python3 -m venv subcell`
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- Download/cloe all the repository code inside your virtual environment directory.
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- Download/clone all the repository code inside your virtual environment directory.
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- Navigate to your virtual environment directory and activate it:
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- Example: `source bin/activate`
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- Example: `source bin/activate` (linux) or `Scripts\activate.bat` (windows)
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- Install all requirements through pip:
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- Example: `pip install -r requirements.txt`
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- Profit!
@@ -99,4 +99,4 @@ SubCellPortable provides some convenient information on top of that:
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- `prob00-prob30`: full probabilities array.
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- `feat0000-feat1535`: full embedding vector.
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- You can find the classes names in the `CLASS2NAME` dictionary at the beginning of the `inference.py` script.
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- You can also find a helping `CLASS2COLOR` dictionary to assign a specific HEX color per class.
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- You can also find a helping `CLASS2COLOR` dictionary to assign a specific HEX color per class.

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