Fully Convolutional Networks for Portrait Matting
conv1_1
~conv5_3
: VGG-19
pool5
~conv_t3
: Convolution (replace dense network) and Deconvolution.Fully-Convolutional-Networks/
├── .Data_zoo/
│ └── .MIT_SceneParsing/
│ ├── ADEChallengeData2016.zip
│ ├── MITSceneParsing.pickle
│ ├── train_data.npz (show up after first train)
│ ├── val_data.npz (show up after first train)
│ └── .ADEChallengeData2016/
│ ├── sceneCategories.txt
│ ├── .images/
│ │ ├── .training/
│ │ └── .validation/
│ │
│ └── .annotations/
│ ├── .training/
│ └── .validation/
│
├── .Model_zoo/
│ └── imagenet-vgg-verydeep-19.mat
│
├── .logs/
│ ├── checkpoint
│ ├── model.ckpt-100000.data-00000-of-00001
│ ├── model.ckpt-100000.meta
│ └── model.ckpt-100000.index
│
├── fcn.py (main program)
├── augment.py
├── batch_datset_reader.py
├── reader.py
├── tensorflow_utils.py
└── README.md
image/
, annotation/
folder must be same.tensorflow-gpu == 1.2.1
python3.5 fcn.py -m train
python3.5 fcn.py -m visualize
python3.5 fcn.py -m test -tl <test_list>
python3.5 fcn.py --help