我看官方给的都是如下的例子(且可以正常运行):
train=dict(
type=dataset_type,
pipeline=train_pipeline,
filter_empty_gt=True),
val=dict(
type=dataset_type,
pipeline=test_pipeline),
但是使用 val=dict(pipeline=train_pipeline),) 会报错:
worker_S169124_16_23/binary/xdl_python_package/mmdet/core/evaluation/eval_hooks.py", line 129, in after_train_epoch
gpu_collect=self.gpu_collect)
File "/home/admin/hippo/worker/slave/xdl-bc229c96a98e_xdl-bc229c96a98e-worker_S169124_16_23/binary/xdl_python_package/mmdet/apis/test.py", line 98, in multi_gpu_test
result = model(return_loss=False, rescale=True, **data)
File "/opt/conda/envs/python3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/opt/conda/envs/python3.6/lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 485, in forward
output = self.module(*inputs[0], **kwargs[0])
File "/opt/conda/envs/python3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/home/admin/hippo/worker/slave/xdl-bc229c96a98e_xdl-bc229c96a98e-worker_S169124_16_23/binary/xdl_python_package/mmdet/core/fp16/decorators.py", line 51, in new_func
return old_func(*args, **kwargs)
File "/home/admin/hippo/worker/slave/xdl-bc229c96a98e_xdl-bc229c96a98e-worker_S169124_16_23/binary/xdl_python_package/mmdet/models/detectors/base.py", line 175, in forward
return self.forward_test(img, img_metas, **kwargs)
File "/home/admin/hippo/worker/slave/xdl-bc229c96a98e_xdl-bc229c96a98e-worker_S169124_16_23/binary/xdl_python_package/mmdet/models/detectors/base.py", line 152, in forward_test
return self.simple_test(imgs[0], img_metas[0], **kwargs)
TypeError: simple_test() got an unexpected keyword argument 'gt_bboxes'