├── .gitignore ├── ICCV17_release ├── Codes_Iris_ICCV2017.zip ├── data │ └── raw_samples │ │ ├── 02463d1192.tiff │ │ ├── 02463d1193.tiff │ │ ├── 04200d082.tiff │ │ └── 04200d083.tiff ├── matlab │ ├── adjust_iris.m │ ├── cal_hd.m │ ├── demo.m │ ├── extract_feat.m │ ├── load_all_feat_cell.m │ ├── load_all_mask_cell.m │ ├── match_all_to_all.m │ ├── normaliseiris.m │ ├── normalize_iris.m │ └── shift_map.m ├── models │ ├── UniNet_CASIA.caffemodel │ ├── UniNet_IITD.caffemodel │ ├── UniNet_ND.caffemodel │ ├── UniNet_WVU.caffemodel │ └── UniNet_deploy.prototxt └── readme.txt ├── README.md ├── enroll_dataset.py ├── enroll_single.py ├── evaluation.py ├── match.py ├── model.py ├── models ├── UniNet_CASIA_FeatNet.pth ├── UniNet_CASIA_MaskNet.pth ├── UniNet_IITD_FeatNet.pth ├── UniNet_IITD_MaskNet.pth ├── UniNet_ND_FeatNet.pth ├── UniNet_ND_MaskNet.pth ├── UniNet_WVU_FeatNet.pth └── UniNet_WVU_MaskNet.pth ├── util ├── boundary.py ├── caffemodel2pth.py ├── hamming.py ├── img_enhance.py ├── line.py 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