Related Issues (20)
- Drop dataset agregation from the framework
- Save a "best model" after training
- issue with postprocess.py for aerial dataset HOT 1
- Corrupt image file during training HOT 2
- Handle building types during postprocessing
- load existing weights and training HOT 2
- How to evaluate the results on test set with ground truths HOT 2
- Data Generation (Preprocessing) Issue HOT 2
- data augmentation/transformation while training HOT 3
- multiclass segmentation for aerial dataset HOT 3
- Aerial Dataset Presentation - Dataset Handling HOT 2
- how to handle multi channel multi class labels HOT 2
- Wrong file picking when preprocessing testing images HOT 1
- Confusion with the datagen CLI
- Remove sys.exit statements HOT 4
- Integrate a progress bar in postprocessing HOT 1
- Batch size argument for inference does not work as expected HOT 1
- 0.6.2 release HOT 2
- Publish a cleaner version on Pypi HOT 2
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