mmsegmentation
https://github.com/open-mmlab/mmsegmentation
Python
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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- Issues
- [Feature] Support HourglassNet
- [Feature] Support Res2Net
- forward_train() missing 1 required positional argument: 'gt_semantic_seg' for workflow = [('train', 1), ('val', 1)]
- The training loss is much smaller than the provided log
- support multiple losses supervise the same prediction
- add _iter and _max_iter as arguments to runner
- How to export the model to a pt file that can be run on cudas?
- I want to change learning rate schedule after "resume_from" a model. How can I achieve that?
- What does the "auxiliary_head" mean?
- [Improvement] Exclude data loading time when benchmarking speed
- Docs
- Python not yet supported