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Utils-scripts

This repository contains utility scripts for managing libraries, dependencies, and datasets for your project.

For Windows Users

If you're running on a Windows machine, you will need the following files:

  • install.bat - A batch script to set up the environment.
  • environment.yml - A Conda environment configuration file.

Steps:

  1. Download or Clone the Repository to your machine.

  2. Install Miniconda (if not already installed):

    • Double-click the install.bat file to run the script.
    • The script will:
      • Check if Miniconda is installed.
      • If not, it will install Miniconda.
      • Create the environment based on the environment.yml file.
      • Automatically activate the environment.
  3. Alternatively, you can run the script from the command prompt:

    • Open Command Prompt and navigate to the directory where install.bat is located.
    • Run the script:
      install.bat

For Linux Users

If you're running on a Linux machine, you will need the following files:

  • install.sh - A shell script to set up the environment.
  • environment.yml - A Conda environment configuration file.

Steps:

  1. Download or Clone the Repository to your machine.

  2. Make the script executable:

    • Open a terminal and navigate to the directory where install.sh is located.
    • Run the following command to make the script executable:
      chmod +x install.sh
  3. Run the script:

    • Once the script is executable, run it:
      ./install.sh
    • The script will:
      • Check if Miniconda is installed.
      • If not, it will install Miniconda.
      • Create the environment based on the environment.yml file.
      • Automatically activate the environment.

Common Setup for Both Platforms

environment.yml

The environment.yml file contains all the dependencies required for this project, including Python libraries like tensorflow, keras, numpy, scikit-learn, and more. This file is used to create the Conda environment.

To create the environment manually from the environment.yml file (if you don't want to use the provided script):

  1. Install Conda (if not installed already):

  2. Create the environment:

    conda env create -f environment.yml

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