├── Ganerated Hands ├── GANeratedHands_CVPR2018.pdf ├── GANeratedHands_CVPR2018_ExtAbs.pdf └── GANeratedHands_CVPR2018_Supp.pdf ├── Iris-Segmentation Encoder Decoder ├── Accurste iris segmentation using fcnn.pdf ├── Mylayers.py ├── README.md ├── __pycache__ │ ├── Mylayers.cpython-36.pyc │ ├── generator.cpython-36.pyc │ ├── model.cpython-36.pyc │ └── vgg16.cpython-36.pyc ├── generator.py ├── model.py ├── predict.py ├── test.csv ├── train.csv ├── train.py ├── training_dataset │ ├── JPCLN001.jpg │ ├── JPCLN002.jpg │ ├── JPCLN003.jpg │ ├── JPCLN004.jpg │ ├── JPCLN005.jpg │ └── JPCLN006.jpg ├── training_mask │ ├── JPCLN001.jpg-msk.png │ ├── JPCLN002.jpg-msk.png │ ├── JPCLN003.jpg-msk.png │ ├── JPCLN004.jpg-msk.png │ ├── JPCLN005.jpg-msk.png │ └── JPCLN006.jpg-msk.png ├── validating_dataset │ ├── JPCLN007.jpg │ ├── JPCLN008.jpg │ └── JPCLN009.jpg └── validating_mask │ ├── JPCLN007.jpg-msk.png │ ├── JPCLN008.jpg-msk.png │ └── JPCLN009.jpg-msk.png ├── Openpose ├── 2d pose (open pose).pdf └── training │ ├── pose_augment.py │ ├── pose_dataset.py │ ├── train-keras.py │ └── train-tf.py ├── README.md ├── Segnet └── image segmentation.pdf ├── Single-shot multi person 3d body pose ├── README.md ├── model │ ├── ResNet50.json │ ├── model-main-keras.py │ ├── model-main-tf.py │ ├── model.py │ └── resnet50.py ├── single-shot multi pose rgb.pdf └── training │ ├── __pycache__ │ ├── augmentors.cpython-35.pyc │ ├── convo.cpython-35.pyc │ ├── dataflow.cpython-35.pyc │ ├── dataset.cpython-35.pyc │ ├── label_maps.cpython-35.pyc │ ├── model.cpython-36.pyc │ ├── modelmainkeras.cpython-35.pyc │ ├── optimizers.cpython-35.pyc │ └── resnet50.cpython-36.pyc │ ├── augmentors.py │ ├── convo.py │ ├── convo.pyc │ ├── dataflow.py │ ├── dataset.py │ ├── dataset.pyc │ ├── dataset_inspect.py │ ├── label_maps.py │ ├── logs │ ├── events.out.tfevents.1532769765.godfather │ ├── events.out.tfevents.1532770126.godfather │ ├── events.out.tfevents.1532770419.godfather │ ├── events.out.tfevents.1532817073.godfather 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