- <repo_home>
- data
- images (contains the images)
- a.png
- b.png
- labels (contains the binary segmentation results as bw images)
- a.png
- b.png
- images (contains the images)
- data
Run TrainScript.py to train on the dataset in ./data .
- checkpoints will be dumped to ./checkpoints
- tensorboard logs will be dumped to ./logs
Run EvaluationScript.py to dump segmentation results for all images in the ./data folder. Run "streamlit run ThresholdVisualizationTool.py" to get an interactive gui for result evaluation.