ComputerVision_Tutorials

Tutorials on computer vision algorithms & practices: Corner Detection,edge detection, segmentation, object detection, feature matching, facial recognition, OCR, classification, filtering, registration, & motion tracking.

To achieve the desired functionality, you can follow these steps:

1. Create a Virtual Environment:

   • Open your terminal or command prompt.
   • Navigate to the directory where you want to create the virtual environment.
   • Run the following command:

     python -m venv myenv
     

     This will create a virtual environment named myenv.

2. Activate the Virtual Environment:

   • Depending on your operating system, activate the virtual environment:
     • Windows:

       myenv\Scripts\activate
       

     • Linux/macOS:

       source myenv/bin/activate
       

3. Install Required Packages:

   • Once the virtual environment is activated, you can install the required packages using pip.

     pip install numpy matplotlib opencv-python