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Carvana Image Masking (U-Net)
Webcam_Segmentation (DeepLab-V3+) Update Webcam_Segmentation Sep 3, 2019
README.md

README.md

SemanticSegmentation-Examples

1. Semantic Webcam Segmentation using DeepLab-V3+:

If you want to test the webcam application copy the juypter notebook you find in the folder of Webcam-Segmenation of this GitHub repository. Make sure, that the notebook should be inside your cloned DeepLab directory.

You get the DeepLab directory on this link: https://github.com/tensorflow/models/tree/master/research/deeplab

When you run it, you can see a real-time segmentation of your webcam.

Related Blogpost: https://www.novatec-gmbh.de/blog/semantic-segmentation-part-1-deeplab-v3/

2. Carvana Image Masking Challenge: Training U-Net:

First of all you have to download the datasets of the Carvana Challenge: https://www.kaggle.com/c/carvana-image-masking-challenge

Make sure, that you have installed all the needed libraries and frameworks like tensorflow-GPU and Keras. For this application, you will need a GPU.

Clone and run the provided Notebook (model_cnn) and train your model.

Related Blogpost: https://www.novatec-gmbh.de/blog/semantic-segmentation-part-2-training-u-net/

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