Individual skill

evo-template-matching-counter

Counts occurrences of template objects (coins, enemies, turtles) in grayscale keyframe images using OpenCV matchTemplate with TM_CCOEFF_NORMED and Non-Maximum Suppression, then aggregates results into a CSV file.

tasks-evolved/mario-coin-counting/environment/skills/evo-template-matching-counter/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 97
Repository last updated: Sep 10, 2026
License: Apache-2.0

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open-world Repository topic
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# evo-template-matching-counter

## Overview
Counts game sprites (coins, enemies, turtles) in grayscale keyframe images using OpenCV template matching with NMS deduplication, outputs results to CSV.

## Key Concepts
- Uses `cv2.TM_CCOEFF_NORMED` - normalized correlation coefficient, best for rigid 2D pixel art
- Default threshold: 0.8 (optimal for Super Mario sprites with MP4 compression artifacts)
- Non-Maximum Suppression (NMS) with IoU overlap threshold of 0.3 to deduplicate detections
- Both frame and template MUST be grayscale (single channel) for matching
- `np.where(result >= threshold)` returns (y_coords, x_coords) - row/column order
- Template must be smaller than frame in both dimensions
- CSV output columns: frame_id (full path like /root/keyframes_001.png), coins, enemies, turtles