pywayne-cv-tools

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