Extract Frames

😫 The Pain Point

You filmed a product video. Now you need a thumbnail. Taking a screenshot of the video player usually results in a blurry, low-res image. You want the crisp, original 4K frame.

🚀 Agentic Solution

Frame Extractor: Uses OpenCV to inspect the video stream and save frames as pure image files.

Key Features:

• Interval: Save 1 image every 5 seconds (prevents generating thousands of identical images).
• High Quality: Exports at the native resolution of the video.

⚔️ Phase 1: Commander (Quick Fix)

For grabbing a few snapshots.

Prompt:

“I have video.mp4. Use OpenCV to extract a frame every 1 second and save them to a ‘Frames’ folder.”

Result: A folder full of snapshots.

🏗️ Phase 2: Architect (Permanent Tool)

For YouTubers/Creators.

Engineering Prompt:

**Role:** Python CV Developer
**Task:** Create a "Video to Frames Extractor".
**Requirements:**
1.  **GUI:**
    *   Select Video File.
    *   Input: "Export every X seconds" OR "Export every N frames".
    *   "Extract" button.
2.  **Logic:**
    *   Use `cv2.VideoCapture`.
    *   Calculate FPS to map seconds to frames.
    *   Loop and save frame as `.jpg`.
    *   Efficient memory release.
3.  **Deliverables:** `frame_extractor.py`, `run.bat` (Windows), `run.sh` (Mac).

🧠 Prompt Decoding

• Interval Control: A 4K video has 60 frames per second. 1 minute = 3,600 images (Gigabytes of data). The prompt asks for an “Interval” setting to give the user control over disk usage.

🛠️ Instructions

1. Copy Prompt -> Paste -> Run.
2. Select Video -> Set Interval -> Extract.