A_surface_defect_detection_based_on_positive_samples

Generate randomly defects on positive samples and restore them with GAN.

Note:

It is built from the Pix2Pix respository.
There are three different models, consisting of autoencoder, segment model(Unet), and GAN (Pix2Pix).
It is inspire by the paper "A Surface Defect Detection Method Based on Positive Samples".
We Got the 5th place in the preliminary contest of National campus machine vison application competition.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
__pycache__		__pycache__
code_from_team_member		code_from_team_member
data		data
ddlib		ddlib
models		models
options		options
util		util
README.md		README.md
train-ae.sh		train-ae.sh
train-gan.sh		train-gan.sh
train.py		train.py
train_segment.sh		train_segment.sh