GitHub - ChenSenhao0104/Intelligent-vehicle-component-defect-detection-engine-driven-by-multi-source-vision: The project focuses on six typical surface defects of steel plate components (cracking, pitting, scratches, patches, inclusions, and oxide scale), and supports four inspection modes: single image, batch, video stream, and online camera

Name		Name	Last commit message	Last commit date
.idea		.idea
Font		Font
TestFiles		TestFiles
UIProgram		UIProgram
__pycache__		__pycache__
build/MainProgram		build/MainProgram
datasets/SteelData		datasets/SteelData
dist		dist
make_photo		make_photo
models		models
runs		runs
save_data/test		save_data/test
.gitignore		.gitignore
CITATION.cff		CITATION.cff
CameraTest.py		CameraTest.py
Config.py		Config.py
Directory_file_description.png		Directory_file_description.png
MainProgram.py		MainProgram.py
MainProgram.spec		MainProgram.spec
Program_operation_instruction_document.md		Program_operation_instruction_document.md
VideoTest.py		VideoTest.py
check_model_info.py		check_model_info.py
detect_compare.py		detect_compare.py
detect_comparison.jpg		detect_comparison.jpg
detect_tools.py		detect_tools.py
imgTest.py		imgTest.py
installPackages.py		installPackages.py
requirements.txt		requirements.txt
setup.py		setup.py
some_operations.txt		some_operations.txt
train.py		train.py
ui_sources_rc.py		ui_sources_rc.py
update_ui_resources.bat		update_ui_resources.bat
update_ui_resources_bat_read.txt		update_ui_resources_bat_read.txt
yolov8n.pt		yolov8n.pt

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The project focuses on six typical surface defects of steel plate components (cracking, pitting, scratches, patches, inclusions, and oxide scale), and supports four inspection modes: single image, batch, video stream, and online camera

deep-learning opencv pyqt5 surface-defect-detection vehicle visual-inspection yolov8

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