evo-video-keyframe-extraction

evo-video-keyframe-extraction

Overview

Extracts keyframes from gameplay video using uniform temporal sampling, saves with zero-padded sequential naming, and converts to grayscale in-place.

Key Concepts

• Uses cv2.VideoCapture for video decoding with embedded FFmpeg backend
• Uniform temporal sampling: extract 1 frame per second (frame_interval = int(fps * 1.0))
• Frames saved as PNG with cv2.imwrite() using zero-padded naming: keyframes_001.png, keyframes_002.png, etc.
• Grayscale conversion done in-place: read with cv2.IMREAD_GRAYSCALE, overwrite original file
• OpenCV uses BGR channel order (not RGB)
• For a 27-second 60fps video, extracts 27 keyframes (one per second)

Functions

get_video_metadata(video_path)

Returns dict with: fps, frame_count, width, height, duration_seconds

extract_keyframes(video_path, output_dir, sample_interval_seconds=1.0, name_format="keyframes_{:03d}.png")

Extracts keyframes at uniform intervals. Returns list of saved file paths in timeline order.

• sample_interval_seconds=1.0 means 1 frame per second
• name_format uses Python format string with {:03d} for zero-padded numbering starting at 1
• Keyframe counter is 1-based (keyframes_001.png, keyframes_002.png, ...)

convert_frames_to_grayscale(frame_paths)

Converts images to grayscale IN-PLACE (overwrites original files). Returns list of converted paths. Reads with cv2.IMREAD_GRAYSCALE and writes back with cv2.imwrite.

Usage

import sys
sys.path.insert(0, '/app/environment/skills/evo-video-keyframe-extraction/scripts')
from video_utils import extract_keyframes, convert_frames_to_grayscale, get_video_metadata

# Get video info
meta = get_video_metadata('/root/super-mario.mp4')
print(f"Duration: {meta['duration_seconds']}s, FPS: {meta['fps']}")

# Extract keyframes (1 per second) to /root
paths = extract_keyframes('/root/super-mario.mp4', '/root', sample_interval_seconds=1.0)

# Convert to grayscale in-place
convert_frames_to_grayscale(paths)