Source Code

1. Download cl3dp Repo from GitHub Either Via Xxtracting zip to Desired Location OR Cloning the Repo

   

2. Open Root Directory of cl3dp in Git Bash

   

3. Create a New Conda Environment

   • Use the following command to create a new conda environment with Python 3.8:

   conda create --prefix envs python=3.8 
   

   

4. Activate Conda Environment and Install Dependencies

   • Activate te newly created conda environment with the following command:

     conda activate ./envs 
     

   • Install the required dependencies listed in the requirement.txt file:

     pip install -r requirements.txt 
     

5. Possible Errors:

   • Environment Activation Error : If you encounter an error activating the environment, ensure you are in correct directory and the environment path is correct.
   • Dependency Installation Error : If there are error installing dependencies, check for typos in the file name and ensure all required packages are listed in the requirements.txt file.
   • Compantibility Issues: If there are compatibility issues with Python 3.8, consider using a different Python version specified in the project's documentation.

# sympy not found
pip install sympy

# yaml not found
pip install pyyaml

# argparse not found
pip install argparse

# numpy not found
pip install numpy

# cv2 not found
pip install opencv-python

# pypylon not found
pip install pypylon

# scipy not found 
pip install scipy