Description

2. To launch the client, use client_script,py
3. Change path_to_video_file variable in server.py with a path to a video file on your machine.
4. Start with a single-threaded server. Once it is done, make it multithreaded to accept multiple clients.
5. You will require cv2 for this. You can install opencv from opencv-python · PyPI.
6. It is suggested that you create a virtual environment or conda environment.
Create Python virtual environment: venv — Creation of virtual
environments — Python 3.11.1 documentation
Or,
Install Anaconda: Installation — Anaconda documentation
Create conda environment: Managing environments — conda
22.11.1.post12+6d9415be6 documentation
Additionally, a file named offline_env.yml has been provided. You can use this file to create a conda environment.
How to create conda environment from .yml file: Export and Create conda environment with yml | by Shan Dou
If you require any help, do not hesitate to contact me.
Email: gourab@cse.uiu.ac.bd