mmsegmentation
https://github.com/open-mmlab/mmsegmentation
Python
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
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- Issues
- In the "test_pipeline", why "LoadAnnotations"after"Resize"?
- Increase validation speed during training.
- TypeError: class `EncoderDecoder` in mmseg/models/segmentors/encoder_decoder.py: class `Mask2FormerHead` in mmseg/models/decode_heads/mask2former_head.py: __init__() got an unexpected keyword argument 'in_channels'
- After training the model, I want to use the trained model parameters to obtain inference results for different thresholds
- In CAT_Seg model, Trained weights are used incorrectly, KeyError: 'meta'
- In cat_seg model how should i inference specified class,such as car and tree two classes.
- AttributeError: 'SegDataSample' object has no attribute 'gt_edge_map'
- Evaluation of Adabins
- how use BEiTv2 model
- ddrnet: The size of tensor a (182) must match the size of tensor b (181) at non-singleton dimension 3
- Docs
- Python not yet supported