yuantn / MI-AOD

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
https://openaccess.thecvf.com/content/CVPR2021/papers/Yuan_Multiple_Instance_Active_Learning_for_Object_Detection_CVPR_2021_paper.pdf
Apache License 2.0
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你好,我在运行./script.sh 0 时遇到了问题 #66

Closed wuliacbd closed 2 years ago

wuliacbd commented 2 years ago

你好,我在运行./script.sh 0 时遇到了这个问题

20220417_153805 2022-04-17 15:38:11,510 - mmdet - INFO - workflow: [('train', 1)], max: 3 epochs Traceback (most recent call last): File "tools/train.py", line 257, in main() File "tools/train.py", line 170, in main distributed=distributed, validate=(not args.no_validate), timestamp=timestamp, meta=meta) File "/home/liugh/MI-AOD-master/mmdet/apis/train.py", line 120, in train_detector runner.run(data_loaders_L, cfg.workflow, cfg.total_epochs) File "/home/liugh/.conda/envs/miaod/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 121, in run epoch_runner(data_loaders[i], kwargs) File "/home/liugh/.conda/envs/miaod/lib/python3.7/site-packages/mmcv/runner/epoch_based_runner.py", line 31, in train outputs = self.model.train_step(data_batch, self.optimizer,kwargs) File "/home/liugh/.conda/envs/miaod/lib/python3.7/site-packages/mmcv/parallel/data_parallel.py", line 31, in train_step return self.module.train_step(inputs[0], kwargs[0]) File "/home/liugh/MI-AOD-master/mmdet/models/detectors/base.py", line 228, in train_step losses = self(data) File "/home/liugh/.conda/envs/miaod/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl result = self.forward(input, *kwargs) File "/home/liugh/MI-AOD-master/mmdet/core/fp16/decorators.py", line 51, in new_func return old_func(args, **kwargs) TypeError: forward() missing 1 required positional argument: 'x'

wuliacbd commented 2 years ago

这个问题已经解决了,不好意思打扰了