Clone repository, let it download zipped training data (requires git-lfs) and run input/unzip.sh.
Needs some more refactoring and love. 😉
| Library | Version |
|---|---|
| OpenCV | 3.4.1 |
| Numpy | 1.16.2 |
| Tensorflow | 1.13.1 |
| -Keras | 2.2.4-tf |
| progressbar2 | 3.39.3 |
Environment variable %ANACONDA% (set to installation directory of Anaconda) required for convenience scripts (_*.bat) to work.
| Name | Content |
|---|---|
| eval.ipynb | Putting stuff together |
| farneback.ipynb | Computing Farnebäck flow |
| graph.ipynb | Creating SVG graphs for inclusion in written work |
| naive.ipynb | Naive method of extracting information |
| orbcv.ipynb | Visualizing ORB |
| realtime.ipynb | Reading images from physical camera |
| tensorflow.ipynb | Training of neural network |
| tensorflow-visualize.ipynb | Contains utilities to visualize |
| videosplit.ipynb | Contains a utility script to split video into single frames |