WARNING cnn.py: 40: [====DEPRECATE WARNING====]: you are creating an object from CNNModelHelper class which will be deprecated soon. Please use ModelHelper object with brew module. For more information, please refer to caffe2.ai and python/brew.py, python/brew_test.py for more information. Traceback (most recent call last): File "tools/test_net.py", line 157, in <module> main(ind_range=args.range, multi_gpu_testing=args.multi_gpu_testing, vis=vis) File "tools/test_net.py", line 127, in main parent_func(multi_gpu=multi_gpu_testing, vis=vis) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/core/test_engine.py", line 64, in test_net_on_dataset test_net(vis=vis) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/core/test_engine.py", line 126, in test_net model = initialize_model_from_cfg() File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/core/test_engine.py", line 158, in initialize_model_from_cfg model = model_builder.create(cfg.MODEL.TYPE, train=False) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 119, in create return get_func(model_type_func)(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 91, in generalized_rcnn freeze_conv_body=cfg.TRAIN.FREEZE_CONV_BODY File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 224, in build_generic_detection_model optim.build_data_parallel_model(model, _single_gpu_build_func) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/optimizer.py", line 51, in build_data_parallel_model single_gpu_build_func(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 164, in _single_gpu_build_func blob_conv, dim_conv, spatial_scale_conv = add_conv_body_func(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/FPN.py", line 47, in add_fpn_ResNet50_conv5_body model, ResNet.add_ResNet50_conv5_body, fpn_level_info_ResNet50_conv5 File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/FPN.py", line 103, in add_fpn_onto_conv_body conv_body_func(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/ResNet.py", line 39, in add_ResNet50_conv5_body return add_ResNet_convX_body(model, (3, 4, 6, 3), use_deformable=use_deformable) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/ResNet.py", line 98, in add_ResNet_convX_body p = model.AffineChannel(p, 'res_conv1_bn', inplace=True) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/detector.py", line 104, in AffineChannel return self.net.AffineChannel([blob_in, scale, bias], blob_in) File "/usr/local/lib/python2.7/dist-packages/caffe2/python/core.py", line 2040, in __getattr__ ",".join(workspace.C.nearby_opnames(op_type)) + ']' AttributeError: Method AffineChannel is not a registered operator. Did you mean: []
I wonder whether this problem results from the Detectron package error installation. By the way, when i install the detectron package follow a dockerfile inside, no problems were shown.
Shualite
commented
5 years ago
WARNING cnn.py: 40: [====DEPRECATE WARNING====]: you are creating an object from CNNModelHelper class which will be deprecated soon. Please use ModelHelper object with brew module. For more information, please refer to caffe2.ai and python/brew.py, python/brew_test.py for more information. Traceback (most recent call last): File "tools/test_net.py", line 157, in <module> main(ind_range=args.range, multi_gpu_testing=args.multi_gpu_testing, vis=vis) File "tools/test_net.py", line 127, in main parent_func(multi_gpu=multi_gpu_testing, vis=vis) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/core/test_engine.py", line 64, in test_net_on_dataset test_net(vis=vis) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/core/test_engine.py", line 126, in test_net model = initialize_model_from_cfg() File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/core/test_engine.py", line 158, in initialize_model_from_cfg model = model_builder.create(cfg.MODEL.TYPE, train=False) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 119, in create return get_func(model_type_func)(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 91, in generalized_rcnn freeze_conv_body=cfg.TRAIN.FREEZE_CONV_BODY File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 224, in build_generic_detection_model optim.build_data_parallel_model(model, _single_gpu_build_func) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/optimizer.py", line 51, in build_data_parallel_model single_gpu_build_func(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/model_builder.py", line 164, in _single_gpu_build_func blob_conv, dim_conv, spatial_scale_conv = add_conv_body_func(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/FPN.py", line 47, in add_fpn_ResNet50_conv5_body model, ResNet.add_ResNet50_conv5_body, fpn_level_info_ResNet50_conv5 File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/FPN.py", line 103, in add_fpn_onto_conv_body conv_body_func(model) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/ResNet.py", line 39, in add_ResNet50_conv5_body return add_ResNet_convX_body(model, (3, 4, 6, 3), use_deformable=use_deformable) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/ResNet.py", line 98, in add_ResNet_convX_body p = model.AffineChannel(p, 'res_conv1_bn', inplace=True) File "/root/fsy_SceneTextRec/masktextspotter.caffe2-master/lib/modeling/detector.py", line 104, in AffineChannel return self.net.AffineChannel([blob_in, scale, bias], blob_in) File "/usr/local/lib/python2.7/dist-packages/caffe2/python/core.py", line 2040, in __getattr__ ",".join(workspace.C.nearby_opnames(op_type)) + ']' AttributeError: Method AffineChannel is not a registered operator. Did you mean: []I wonder whether this problem results from the Detectron package error installation. By the way, when i install the detectron package follow a dockerfile inside, no problems were shown.