Video Frame Extraction Notebook

Overview

This Jupyter Notebook provides a simple and efficient workflow for downloading a video, saving it to Google Drive, and extracting frames from each quartile of the video. The project leverages Google Colab and Google Drive integration for seamless operation.

Features

• Video Downloading: Downloads a video file from a specified URL using wget tool
• Google Drive Integration: Save the downloaded video directly into your Google Drive for easy access.
• Frame Extraction: Process the video to extract frames at the 25%, 50%, 75%, and 100% marks.

Requirements

• Google Account
• Google Drive
• Google Colab
• Python libraries: opencv-python, google.colab.patches, os, datetime, and random

Usage

1. Open the notebook in Google Colab.
2. Follow the instructions in the notebook to:
   • Authenticate your Google Drive.
   • Provide the video URL for download.
   • Specify the output location in your Drive.
3. Run the frame extraction process to save the key frames from the video.

Installation

No installation is required for Google Colab.

How It Works

1. Download Video: The notebook downloads a video from the provided URL using wget.
2. Save to Google Drive: The video file is moved to your Google Drive using the Colab Drive integration.
3. Extract Frames: Using OpenCV, the notebook calculates the frame positions for each quartile and some of them as images in your Drive.

Contributing

Contributions are welcome! Feel free to submit a pull request or open an issue if you encounter any problems or have suggestions for improvements.