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.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
 
 

About

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

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