jianlong-yuan / SimpleBaseline

[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

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When I use the cityscapes dataset for training, I encounter an error when loading the model. How to solve this problem?

a139122679 opened this issue · comments

2021-12-23 11:41:25,981 Segmentron INFO: train_fine data num 2975
2021-12-23 11:41:26,012 Segmentron INFO: train_fine data num 2975
2021-12-23 11:41:26,017 Segmentron INFO: val_fine data num 500
2021-12-23 11:41:26,763 Segmentron INFO: DSSyncBatchNorm is effective!
Traceback (most recent call last):
File "tools/train_semi.py", line 284, in
trainer = Trainer(args)
File "tools/train_semi.py", line 79, in init
self.model = get_segmentation_model().to(self.device)
File "/user/lwx1055260/ID2450_SimpleBaseline_for_pytorch/segmentron/models/model_zoo.py", line 27, in get_segmentation_model
load_model_pretrain(model)
File "/user/lwx1055260/ID2450_SimpleBaseline_for_pytorch/segmentron/models/model_zoo.py", line 34, in load_model_pretrain
assert os.path.exists(cfg.TRAIN.PRETRAINED_MODEL_PATH)
AssertionError
THCudaCheck FAIL file=/pytorch/aten/src/THC/THCCachingHostAllocator.cpp line=278 error=4 : driver shutting down

@jianlong-yuan what is PRETRAINED_MODEL_PATH: "/**/best_model.pth" ?