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tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pywayne Cv Tools by tomevault-io — Agent Skill

Name: Pywayne Cv Tools
Author: tomevault-io

Pywayne Cv Tools

OpenCV YAML file read/write utilities. Use when working with pywayne.cv.tools module to read OpenCV FileStorage YAML files with support for nested structures, numpy arrays, basic types, and lists. Handles cv2.FileNode parsing including Map, Seq, and matrix nodes. Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

Pywayne CV YAML I/O

This module provides utilities for reading and writing OpenCV cv2.FileStorage YAML files.

Quick Start

from pywayne.cv.tools import read_cv_yaml, write_cv_yaml
import numpy as np

# Write to YAML file
data = {
    "camera_name": "test_camera",
    "image_width": 1920,
    "image_height": 1080,
    "calibration_matrix": np.eye(3)
}
write_cv_yaml('config.yaml', data)

# Read from YAML file
data = read_cv_yaml('config.yaml')
print(data)

Supported Data Types

Type	Handling
`int`, `float`, `str`	Written directly
`np.ndarray`	Written using `fs.write()`
`list`	Written using `FileNode_SEQ`
`dict`	Written using `FileNode_MAP`
`None`	Skipped

Reading Files

from pywayne.cv.tools import read_cv_yaml

# Read YAML file (returns dict or None on error)
data = read_cv_yaml('camera_config.yaml')
if data:
    print(data['camera_name'])
    print(data['image_width'])

Notes:

Handles nested structures recursively
Returns None if file cannot be opened
Uses wayne_print for error messages (red/yellow colors)
Supports both FileNode_MAP and FileNode_SEQ for dictionaries and lists
Matrix nodes read using .mat() method

Writing Files

from pywayne.cv.tools import write_cv_yaml

# Write data to YAML file
data = {
    "matrix": np.eye(3),
    "vector": [1, 2, 3]
}
success = write_cv_yaml('config.yaml', data)

if success:
    print("Write successful")

Notes:

Returns True on success, False on error
Handles lists with empty key convention for OpenCV
Supports unnamed sequences using empty key string
Skips None values during write

Requirements

cv2 (OpenCV) - For FileStorage operations
numpy - For numpy array handling
pywayne.tools - For wayne_print logging

API Reference

Function	Description
`read_cv_yaml(path)`	Read OpenCV YAML file, returns dict or None
`write_cv_yaml(path, data)`	Write dict to OpenCV YAML file, returns bool

File Structure Handling

The module handles OpenCV's cv2.FileNode types:

Node Type	Handling
Map	Uses `.keys()` method (requires callable)
Seq	Uses element iteration with recursive parsing
Matrix	Uses `.mat()` method
Int/Float/String	Uses `.real()`, `.int()`, `.string()` methods

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: pywayne-cv-toolsdescription: OpenCV YAML file read/write utilities. Use when working with pywayne.cv.tools module to read OpenCV FileStorage YAML files with support for nested structures, numpy arrays, basic types, and lists. Handles cv2.FileNode parsing including Map, Seq, and matrix nodes. Use when this capability is needed.---# Pywayne CV YAML I/OThis module provides utilities for reading and writing OpenCV `cv2.FileStorage` YAML files.## Quick Start```pythonfrom pywayne.cv.tools import read_cv_yaml, write_cv_yamlimport numpy as np# Write to YAML filedata = { "camera_name": "test_camera", "image_width": 1920, "image_height": 1080, "calibration_matrix": np.eye(3)}write_cv_yaml('config.yaml', data)# Read from YAML filedata = read_cv_yaml('config.yaml')print(data)```## Supported Data Types| Type | Handling ||------|---------|| `int`, `float`, `str` | Written directly || `np.ndarray` | Written using `fs.write()` || `list` | Written using `FileNode_SEQ` || `dict` | Written using `FileNode_MAP` || `None` | Skipped |## Reading Files```pythonfrom pywayne.cv.tools import read_cv_yaml# Read YAML file (returns dict or None on error)data = read_cv_yaml('camera_config.yaml')if data: print(data['camera_name']) print(data['image_width'])```**Notes:**- Handles nested structures recursively- Returns `None` if file cannot be opened- Uses `wayne_print` for error messages (red/yellow colors)- Supports both `FileNode_MAP` and `FileNode_SEQ` for dictionaries and lists- Matrix nodes read using `.mat()` method## Writing Files```pythonfrom pywayne.cv.tools import write_cv_yaml# Write data to YAML filedata = { "matrix": np.eye(3), "vector": [1, 2, 3]}success = write_cv_yaml('config.yaml', data)if success: print("Write successful")```**Notes:**- Returns `True` on success, `False` on error- Handles lists with empty key convention for OpenCV- Supports unnamed sequences using empty key string- Skips `None` values during write## Requirements- `cv2` (OpenCV) - For FileStorage operations- `numpy` - For numpy array handling- `pywayne.tools` - For wayne_print logging## API Reference| Function | Description ||---------|-------------|| `read_cv_yaml(path)` | Read OpenCV YAML file, returns dict or None || `write_cv_yaml(path, data)` | Write dict to OpenCV YAML file, returns bool |## File Structure HandlingThe module handles OpenCV's `cv2.FileNode` types:| Node Type | Handling ||-----------|---------|| Map | Uses `.keys()` method (requires callable) || Seq | Uses element iteration with recursive parsing || Matrix | Uses `.mat()` method || Int/Float/String | Uses `.real()`, `.int()`, `.string()` methods |---> Converted and distributed by [TomeVault](https://tomevault.io/claim/wangyendt) — claim your Tome and manage your conversions.

Frequently asked questions