14) Learn to Extract Images/ Frames from Any Video in 6 minutes| Complete OpenCV Tutorial in Python

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AI Summary

- Introduction  
  - Tutorial on extracting images from a video using OpenCV and OS module in Python.  
  
- Importing Libraries  
  - Import OpenCV.  
  - Import OS module.  
  
- Setting Up Video Capture  
  - Create a video capture object named `vid`.  
  - Specify the video file path and name (e.g., `video1.mp4`).  
  
- Current Frame Variable  
  - Initialize a variable `current_frame` to track the frame number.  
  
- Preparing the Save Directory  
  - Check if the 'data' directory exists.  
  - If not, create a new 'data' directory to store extracted images.  
  
- Extracting Frames  
  - Run a loop to read frames from the video object.  
  - Use `.read()` method to get frame-by-frame data.  
  - Display video frames for user control.  
  
- Saving Frames  
  - Save each frame in the 'data' directory with an incremental name (e.g., `frame0.jpeg`, `frame1.jpeg`, etc.).  
  - Increment `current_frame` after each save.  
  
- User Control and Exit  
  - Allow manual exit by pressing 'q'.  
  - Loop continues until video ends or is manually stopped.  
  
- Conclusion  
  - Demonstration of successful frame extraction and storage.  
  - End of tutorial with a prompt for the next video.