bhanushri123 / Webcam_google_colab

Webcam_google_colab

Certainly! Here's a README file for your code to help users understand and use it:

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Webcam Face Detection with OpenCV and Google Colab

This project demonstrates real-time face detection using a webcam in Google Colab. We utilize OpenCV's Haar Cascade classifier to detect faces in both images and video streams captured from your computer's webcam.

Table of Contents

• Dependencies
• How to Use
• Webcam Images
• Webcam Videos
• Author
• License

Dependencies

This project relies on the following dependencies:

• OpenCV: For image and video processing.
• Numpy: For numerical operations.
• PIL (Pillow): For image processing.
• Javascript: To create the live video stream using the webcam.
• Google Colab: For running the code in a Colab environment.

You can easily install these dependencies in your Colab notebook or local Python environment.

How to Use

To use this code for webcam face detection, follow these steps:

1. Import the required dependencies as mentioned in the code.
2. Run the code cells one by one in your Colab notebook.

Webcam Images

• The code provides a function to capture images from your webcam.
• It captures an image and performs face detection using the Haar Cascade classifier.
• Detected faces are highlighted with bounding boxes.
• You can adjust the image quality and the filename for saving the captured image.

Webcam Videos

• The code also supports real-time video streaming from your webcam.
• It overlays bounding boxes on detected faces in the video stream.
• The video stream is displayed in your Colab environment.