I got an error when calling tools/deploy.py,traceback is:
Traceback (most recent call last):
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap
self.run()
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/multiprocessing/process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/core/pipeline_manager.py", line 107, in call
ret = func(*args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/pytorch2onnx.py", line 101, in torch2onnx
optimize=optimize)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/core/pipeline_manager.py", line 356, in wrap
return self.call_function(func_name, *args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/core/pipeline_manager.py", line 326, in call_function
return self.call_function_local(func_name, *args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/core/pipeline_manager.py", line 275, in call_function_local
return pipe_caller(*args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/core/pipeline_manager.py", line 107, in call
ret = func(*args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/onnx/export.py", line 132, in export
verbose=verbose)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/init.py", line 320, in export
custom_opsets, enable_onnx_checker, use_external_data_format)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/utils.py", line 111, in export
custom_opsets=custom_opsets, use_external_data_format=use_external_data_format)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/utils.py", line 729, in _export
dynamic_axes=dynamic_axes)
File "/home/group5/lzj/mmdeploy/mmdeploy/core/rewriters/rewriter_utils.py", line 373, in wrapper
return self.func(self, *args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/apis/onnx/optimizer.py", line 10, in model_to_graph__custom_optimizer
graph, params_dict, torch_out = ctx.origin_func(*args, **kwargs)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/utils.py", line 493, in _model_to_graph
graph, params, torch_out, module = _create_jit_graph(model, args)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/utils.py", line 437, in _create_jit_graph
graph, torch_out = _trace_and_get_graph_from_model(model, args)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/onnx/utils.py", line 388, in _trace_and_get_graph_from_model
torch.jit._get_trace_graph(model, args, strict=False, _force_outplace=False, _return_inputs_states=True)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/jit/_trace.py", line 1166, in _get_trace_graph
outs = ONNXTracedModule(f, strict, _force_outplace, return_inputs, _return_inputs_states)(*args, **kwargs)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/jit/_trace.py", line 132, in forward
self._force_outplace,
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/jit/_trace.py", line 118, in wrapper
outs.append(self.inner(*trace_inputs))
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl
return forward_call(*input, **kwargs)
File "/home/group5/anaconda3/envs/SSPNet/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1090, in _slow_forward
result = self.forward(*input, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/core/rewriters/rewriter_utils.py", line 373, in wrapper
return self.func(self, *args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/codebase/mmdet/models/detectors/base.py", line 71, in base_detector__forward
return __forward_impl(ctx, self, img, img_metas=img_metas, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/core/optimizers/function_marker.py", line 261, in g
rets = f(*args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/codebase/mmdet/models/detectors/base.py", line 27, in __forward_impl
return self.simple_test(img, img_metas, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/core/rewriters/rewriter_utils.py", line 373, in wrapper
return self.func(self, *args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/codebase/mmdet/models/detectors/two_stage.py", line 58, in two_stage_detector__simple_test
proposals, _ = self.rpn_head.simple_test_rpn(x, img_metas)
File "/home/group5/lzj/mmdetection/mmdet/models/dense_heads/dense_test_mixins.py", line 125, in simple_test_rpn
proposal_list = self.get_bboxes(*rpn_outs, img_metas)
File "/home/group5/lzj/mmdeploy/mmdeploy/core/rewriters/rewriter_utils.py", line 373, in wrapper
return self.func(self, *args, **kwargs)
File "/home/group5/lzj/mmdeploy/mmdeploy/codebase/mmdet/models/dense_heads/rpn_head.py", line 123, in rpn_head__get_bboxes
max_shape=img_metas[0]['img_shape'])
TypeError: 'NoneType' object is not subscriptable

while I found,in dense_test_mixins.py,line 125:
"proposal_list = self.get_bboxes(*rpn_outs, img_metas)"
I can got correct img_metas,but in mmdeploy rpn_head.py,line 123:
max_shape=img_metas[0]['img_shape'])
It seems like the variable "img_metas" didn't pass correctly.so is this a bug?or how can I fix it?please help.