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Python License Scikit-learn

detritus-logistic-classification

Logistic model for detritus classification in FlowCAM data. This simple method gives good results for a limited dataset used here. A more comprehensive description of the method and its results is here.

Installation and setup

To run the jupyter notebook, follow these steps to set up your environment:

  1. Clone the repository:

    git clone https://github.com/ovgarol/detritus-logistic-classification.git
  2. Navigate to the project directory:

    cd detritus-logistic-classification
  3. Create a virtual environment (optional but recommended):

    python3 -m venv env
  4. Activate the virtual environment:

    • For Windows:
      .\env\Scripts\activate
    • For macOS and Linux:
      source env/bin/activate
  5. Install the required dependencies:

    pip install --upgrade pip
    pip install uv
    uv pip install -r requirements.txt

Now you should be able to run the jupyter notebook

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logistic model for detritus classification in FlowCAM data

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