opencv-template-matching SKILL.md skillA
opencv-template-matching from cxcscmu/skilllearnbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cxcscmu/skilllearnbench/opencv-template-matching@git:20260424.d50cf5aPins git:20260424.d50cf5a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cxcscmu/skilllearnbench
- Path
skills/b1-one-shot-claude-haiku-4-5/video-object-counting/opencv-template-matching/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260424.d50cf5a, committed Apr 24, 2026
- Size
- 4,602 bytes
- Repository stars
- 91
- License
- MIT
Use OpenCV for image processing, grayscale conversion, and template matching to detect objects in images.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# OpenCV Template Matching for Object Detection
## Overview
OpenCV is a computer vision library that enables template matching - finding occurrences of a template image within a larger source image. This is useful for counting objects in screenshots or video frames.
## Installation
```bash
pip install opencv-python numpy
```
## Key Concepts
### Template Matching
Template matching works by sliding a smaller template image across a larger image and computing a similarity score at each position. Objects are detected where the score exceeds a threshold.
### Matching Methods
- `cv2.TM_CCOEFF`: Correlation coefficient (recommended for most cases)
- `cv2.TM_CCORR`: Cross correlation
- `cv2.TM_SQDIFF`: Sum of squared differences
## Usage Examples
### Convert RGB Image to Grayscale
```python
import cv2
# Read image in color
image = cv2.imread('image.png')
# Convert to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Save grayscale image (overwrites original)
cv2.imwrite('image.png', gray)
```
### Basic Template Matching
```python
import cv2
import numpy as np
def count_objects(image_path, template_path, threshold=0.8):
"""Count occurrences of template in image"""
…Read the whole file at its exact version.
How to install
mdr add cxcscmu/skilllearnbench/opencv-template-matching@sha256:4cea01eefa01ca17The line at the top of this page pins the label git:20260424.d50cf5a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_z2esn42aa7xhh3gl)
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Versions
The registry has recorded 1 version of this file, committed on Apr 24, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
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- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
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Source
cxcscmu/skilllearnbench · 91 stars · license MIT · pushed 2026-10-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_z2esn42aa7xhh3gl GET https://markdownregistry.com/api/v1/resolve?ref=cxcscmu/skilllearnbench/opencv-template-matching GET https://markdownregistry.com/api/v1/blob/4cea01eefa01ca17aa8f59247ef4f530b4e3e2514baec225ddd7191e6dd515f1
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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