MMSegmentation Tutorial.ipynb fails when running Google Colab

[chris-kehl]

`from mmseg.datasets import build_dataset from mmseg.models import build_segmentor from mmseg.apis import train_segmentor

Build the dataset

datasets = [build_dataset(cfg.data.train)]

Build the detector

model = build_segmentor(cfg.model)

Add an attribute for visualization convenience

model.CLASSES = datasets[0].CLASSES

Create work_dir

mmcv.mkdir_or_exist(osp.abspath(cfg.work_dir)) train_segmentor(model, datasets, cfg, distributed=False, validate=True, meta=dict())`

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The error messages are as follows: `2022-05-30 19:36:58,568 - mmseg - INFO - Loaded 572 images

AssertionError Traceback (most recent call last) /usr/local/lib/python3.7/dist-packages/mmcv/utils/registry.py in build_from_cfg(cfg, registry, default_args) 65 try: ---> 66 return obj_cls(**args) 67 except Exception as e:

5 frames AssertionError: both backbone and segmentor set pretrained weight

During handling of the above exception, another exception occurred:

AssertionError Traceback (most recent call last) /usr/local/lib/python3.7/dist-packages/mmcv/utils/registry.py in build_from_cfg(cfg, registry, default_args) 67 except Exception as e: 68 # Normal TypeError does not print class name. ---> 69 raise type(e)(f'{obj_cls.name}: {e}') 70 71

AssertionError: EncoderDecoder: both backbone and segmentor set pretrained weight`

[Mahmuod1]

is seems that you when load the config file in the first time and start training you got error and then when solve it start the training again if that what happen you just need to load the config file again before start training