[TODO]Even iteration take defective image, odd iteration take non-defective image sampling strategy

zacario-li / Segmentation-based-deep-learning-approach-for-surface-defect-detection

Segmentation-based deep-learning approach for surface-defect detection with pytorch

MIT License

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[TODO]Even iteration take defective image, odd iteration take non-defective image sampling strategy #3

Open zacario-li opened 4 years ago

zacario-li commented 4 years ago

In paper, author use "Even iteration take defective image, odd iteration take non-defective image sampling strategy", I will try to implement it later.

DCC-lzhy commented 3 years ago

这个好解决的，可以仿照TensorFlow版本的，搞两个dataloader，针对Positive和Negtive，调用iter()后，用next()获得batch。。

zacario-li commented 3 years ago

这个好解决的，可以仿照TensorFlow版本的，搞两个dataloader，针对Positive和Negtive，调用iter()后，用next()获得batch。。

欢迎你提交个PR过来，我会merge进去