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Hi....
I install OpenVINO™ toolkit 2019 R3 for Windows and python 3.6.5. I got problem running model optimizer with following message:
C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer>python mo_caffe.py --input_model "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\tools\model_downloader\public\squeezenet1.1\squeezenet1.1.caffemodel"
Model Optimizer arguments:
Common parameters:
- Path to the Input Model: C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\tools\model_downloader\public\squeezenet1.1\squeezenet1.1.caffemodel
- Path for generated IR: C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\.
- IR output name: squeezenet1.1
- Log level: ERROR
- Batch: Not specified, inherited from the model
- Input layers: Not specified, inherited from the model
- Output layers: Not specified, inherited from the model
- Input shapes: Not specified, inherited from the model
- Mean values: Not specified
- Scale values: Not specified
- Scale factor: Not specified
- Precision of IR: FP32
- Enable fusing: True
- Enable grouped convolutions fusing: True
- Move mean values to preprocess section: False
- Reverse input channels: False
Caffe specific parameters:
- Path to Python Caffe* parser generated from caffe.proto: mo\front\caffe\proto
- Enable resnet optimization: True
- Path to the Input prototxt: C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\tools\model_downloader\public\squeezenet1.1\squeezenet1.1.prototxt
- Path to CustomLayersMapping.xml: extensions\front\caffe\CustomLayersMapping.xml
- Path to a mean file: Not specified
- Offsets for a mean file: Not specified
Model Optimizer version: 2019.3.0-375-g332562022
[ ERROR ] -------------------------------------------------
[ ERROR ] ----------------- INTERNAL ERROR ----------------
[ ERROR ] Unexpected exception happened.
[ ERROR ] Please contact Model Optimizer developers and forward the following information:
[ ERROR ] 'Graph' object has no attribute 'node'
[ ERROR ] Traceback (most recent call last):
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\main.py", line 302, in main
return driver(argv)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\main.py", line 261, in driver
custom_layers_mapping_path=custom_layers_mapping_path)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\pipeline\caffe.py", line 65, in driver
graph, original_shapes = loader.caffe_pb_to_nx(proto, model)
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\front\caffe\loader.py", line 294, in caffe_pb_to_nx
graph.add_node(layer.name, pb=layer, model_pb=model_layer, kind='op', type='Parameter')
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\graph\graph.py", line 505, in add_node
node.update_node()
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\graph\graph.py", line 470, in update_node
in_ports_count = self.in_ports_count if self.has_valid('in_ports_count') else None
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\graph\graph.py", line 161, in has_valid
return self.has(k) and not self.graph.node[self.node]
File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.334\deployment_tools\model_optimizer\mo\graph\graph.py", line 158, in has
return k in self.graph.node[self.node]
AttributeError: 'Graph' object has no attribute 'node'
[ ERROR ] ---------------- END OF BUG REPORT --------------
[ ERROR ] -------------------------------------------------
I search around this forum and google and have no solution yet. I some body got answer for this?
Thanks and Regards
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Hi,
I've also written about this problem in https://software.intel.com/en-us/forums/computer-vision/topic/830312.
Try installing python package NetworkX version 2.3. It solved the problem for me.
Thanks.
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Yes...it is worked. Thanks a lot!
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