This project provides a tool to analyze the quality of crates with classical image processing techniques using OpenCV.
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- Analyzes the quality of a crate based on an image.
- Outputs the quality of the crate and displays the processed image.
- OpenCV
- PyYAML
To use the Crate Quality Analyzer, you need to provide an image of the crate as a command-line argument:
python3 inspect_crate.py <image_path>This will output the quality of the crate and display the processed image.`
The settings for the image processing parameters can be configured in the settings.yaml file.Here you can set parameters for the Canny edge detection, Hough Circle Transform, image dimensions, crate dimensions, template matching, and more.