This project uses U-net a deep learning model and based on Apollo dataset and CamVid dataset for semantic segmentation to extract road markings
This project has the following dependencies:
-Numpy pip install numpy
-OpenCV Python apt-get install python-opencv
-TensorFlow pip install --upgrade tensorflow-gpu
The only thing you have to do to get started is set up the folders in the following structure:
├── "dataset_name"
| ├── images├── test
| | ├── train
| ├── labels├── test
| | ├── train
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|---|---|
| ground truth | prediction |
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| ground truth | prediction |