https://github.com/novatecconsulting/semanticsegmentation-examples
https://github.com/novatecconsulting/semanticsegmentation-examples
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/novatecconsulting/semanticsegmentation-examples
- Owner: NovatecConsulting
- Created: 2019-08-28T11:05:38.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-10-11T08:01:35.000Z (over 5 years ago)
- Last Synced: 2025-04-02T20:38:35.866Z (3 months ago)
- Language: Jupyter Notebook
- Size: 8.94 MB
- Stars: 11
- Watchers: 12
- Forks: 10
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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/
**3. RSNA Pneumonia Detection Challenge: Transfer Learning using Mask R-CNN**
Download the required datasets of the challenge: https://www.kaggle.com/c/rsna-pneumonia-detection-challenge/data.
Follow the instructions of the related blogpost (https://www.novatec-gmbh.de/blog/semantic-segmentation-part-3-transfer-learning) and download the Mask R-CNN repository. After that you can clone or copy the notebook from the folder 'RSNA Pneumonia Detection' and run it!