open-mmlab / mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.
https://mmsegmentation.readthedocs.io/en/main/
Apache License 2.0
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How do I use CutMix #3244

Open OSSome01 opened 1 year ago

OSSome01 commented 1 year ago

I want to use cutmix to train a segmenter model. I just edited the datapreprocessor in configs/base/models/segmenter_vit-b16_mask.py file

data_preprocessor = dict( type='SegDataPreProcessor', mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5], bgr_to_rgb=True, pad_val=0, seg_pad_val=255, batch_augments=[ dict( type='CutMix', alpha=0.5 ) ] )

I'm getting this error when I run the experiment:

"Traceback (most recent call last): File "tools/train.py", line 104, in main() File "tools/train.py", line 100, in main runner.train() File "/home/sargar.o/.conda/envs/mmsegmentation/lib/python3.8/site-packages/mmengine/runner/runner.py", line 1735, in train model = self.train_loop.run() # type: ignore File "/home/sargar.o/.conda/envs/mmsegmentation/lib/python3.8/site-packages/mmengine/runner/loops.py", line 278, in run self.run_iter(data_batch) File "/home/sargar.o/.conda/envs/mmsegmentation/lib/python3.8/site-packages/mmengine/runner/loops.py", line 301, in run_iter outputs = self.runner.model.train_step( File "/home/sargar.o/.conda/envs/mmsegmentation/lib/python3.8/site-packages/mmengine/model/base_model/base_model.py", line 113, in train_step data = self.data_preprocessor(data, True) File "/home/sargar.o/.conda/envs/mmsegmentation/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/home/sargar.o/rstream/mmsegmentation/mmseg/models/data_preprocessor.py", line 132, in forward inputs, data_samples = self.batch_augments( TypeError: 'list' object is not callable "

ashutoshsingh0223 commented 7 months ago

It looks like it is still under development