video-frame-extraction

1# Video Frame Extraction Skill
2 
3## Purpose
4This skill enables extraction of individual frames from video files (MP4, AVI, MOV, etc.) using OpenCV. Extracted frames are saved as image files in a specified output directory. It is suitable for video analysis, creating training datasets, thumbnail generation, and preprocessing video content for further processing.
5 
6## When to Use
7- Extracting frames for machine learning training data
8- Creating image sequences from video content
9- Generating video thumbnails or preview images
10- Preprocessing videos for object detection or tracking
11- Converting video segments to image collections for analysis
12- Sampling frames at specific intervals for time-lapse effects
13 
14## Required Libraries
15 
16The following Python libraries are required:
17 
18```python
19import cv2
20import os
21import json
22from pathlib import Path
23```
24 
25## Input Requirements
26- **File formats**: MP4, AVI, MOV, MKV, WMV, FLV, WEBM
27- **Video codec**: Must be readable by OpenCV (most common codecs supported)
28- **File access**: Read permissions on source video
29- **Output directory**: Write permissions on destination folder
30- **Disk space**: Ensure sufficient space for extracted frames (uncompressed images)
31 
32## Output Schema
33All extraction results must be returned as valid JSON conforming to this schema:
34 
35```json
36{
37  "success": true,
38  "source_video": "sample.mp4",
39  "output_directory": "/path/to/frames",
40  "frames_extracted": 150,
41  "extraction_params": {
42    "interval": 1,
43…