The defect detection of industrial parts is realized by combining VGg and residual network. Based on keras and tensorflow, it can be used directly

Filename	Size	Update
深度学习实现零件缺陷检测源代码(1)\.idea\misc.xml	320	2018-09-10
深度学习实现零件缺陷检测源代码(1)\.idea\modules.xml	310	2018-09-10
深度学习实现零件缺陷检测源代码(1)\.idea\part defect detection-TianChi.iml	455	2018-09-10
深度学习实现零件缺陷检测源代码(1)\.idea\workspace.xml	23600	2018-09-12
深度学习实现零件缺陷检测源代码(1)\edge_image.py	679	2018-09-11
深度学习实现零件缺陷检测源代码(1)\fourier_transform.py	2823	2018-09-11
深度学习实现零件缺陷检测源代码(1)\image_argumention.py	2606	2018-09-11
深度学习实现零件缺陷检测源代码(1)\image_handle.py	1442	2018-09-11
深度学习实现零件缺陷检测源代码(1)\image_resize.py	608	2018-09-10
深度学习实现零件缺陷检测源代码(1)\main.py	1619	2018-09-12
深度学习实现零件缺陷检测源代码(1)\__pycache__\image_handle.cpython-35.pyc	1653	2018-09-11
深度学习实现零件缺陷检测源代码(1)\__pycache__\model.cpython-35.pyc	3795	2018-09-12
深度学习实现零件缺陷检测源代码(1)\.idea\inspectionProfiles	0	2018-09-10
深度学习实现零件缺陷检测源代码(1)\.idea	0	2018-09-12
深度学习实现零件缺陷检测源代码(1)\__pycache__	0	2018-09-12
深度学习实现零件缺陷检测源代码(1)	0	2020-03-05

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