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Follow the instructions: Autonomy Workflow Software
Install packagesIn short:
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git clone https://github.com/UWARG/computer-vision-python.git
python -m venv --system-site-packages venv/
./setup_project.ps1 OR source ./setup_project.sh
./venv/Scripts/Activate.ps1 OR source ./venv/bin/activate |
Usage - development
Copy the model file (.pt) into the repository.
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Other options are available. See them by using -h .
You are going to need to setup Mission Planner to fully test the code: https://uwarg-docs.atlassian.net/wiki/x/AYCNhQ .
Raspberry Pi setup & usage
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detect_brightspot:
brightspot_percentile_threshold: float # 0 <= brightspot_percentile_threshold <= 100
filter_by_color: bool # Detects by intensity of image
blob_color: int # 0 <= blob_color <= 255)
filter_by_circularity: bool
min_circularity: float # 0 < min_circularity <= max_circularity
max_circularity: float # min_circularity <= max_circularity <= 1
filter_by_inertia: bool
min_inertia_ratio: float # 0 < min_inertia_ratio <= max_inertia_ratio
max_inertia_ratio: float # min_inertia_ratio <= max_inertia_ratio <= 1
filter_by_convexity: bool
min_convexity: float # 0 < min_convexity <= max_convexity
max_convexity: float # min_convexity <= max_convexity <= 1
filter_by_area: bool # Detects by pixel area of the blob
min_area_pixels: int # 0 < min_area_pixels <= max_area_pixels
max_area_pixels: int # min_area_pixels <= max_area_pixels |
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