Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
MachineVision_Presentation.pptx		MachineVision_Presentation.pptx
README.md		README.md
helper.py		helper.py
seg.py		seg.py
seg_test.py		seg_test.py
train.py		train.py
utils.py		utils.py

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FCN-Road-Segmentation

In this project, I use fully convolutional neural-networks in making road semantic segmentation with KITTI data.

The code uses pre-trained VGG16 network and trains the transpose convolution layers.

The powerpoint file is my presentation with training results.

One can download the training data from: http://www.cvlibs.net/download.php?file=data_road.zip

Start training with a GPU: python train.py

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Python 100.0%