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Hi,
I am working on deploying a modified version of Openpose library (pose estimation) from Github
https://github.com/ildoonet/tf-pose-estimation
The author migrated the original pose estimation from Caffe into Tensorflow, and export his model. I am compiling the .pd model under "./models/graph/mobilenet_thin/graph_opt.pb"
https://github.com/ildoonet/tf-pose-estimation/tree/master/models/graph/mobilenet_thin
but got a Type-error like below. (with virtualbox and Ubuntu 16.04, NCSDK v1)
…
tcwei@tcwei-VirtualBox:~/workspace/tfpose_test/models/graph/mobilenet_thin$ mvNCCompile graph_opt.pb -s 12 -in image -on Openpose/concat_stage7 -o graph_opt.graph
mvNCCompile v02.00, Copyright @ Movidius Ltd 2016
/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py:766: DeprecationWarning: builtin type EagerTensor has no module attribute
EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)
/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
if d.decorator_argspec is not None), _inspect.getargspec(target))
Traceback (most recent call last):
File "/usr/local/bin/mvNCCompile", line 118, in
create_graph(args.network, args.inputnode, args.outputnode, args.outfile, args.nshaves, args.inputsize, args.weights)
File "/usr/local/bin/mvNCCompile", line 104, in create_graph
net = parse_tensor(args, myriad_config)
File "/usr/local/bin/ncsdk/Controllers/TensorFlowParser.py", line 259, in parse_tensor
input_data = np.random.uniform(0, 1, shape)
File "mtrand.pyx", line 1302, in mtrand.RandomState.uniform
File "mtrand.pyx", line 242, in mtrand.cont2_array_sc
TypeError: 'NoneType' object cannot be interpreted as an integer
…
I checked some other discussions. It seems that most of time, the TypeError comes up with a unsupported issue and NCSDK doesn't support SSD-mobilenet. However, I am not sure if the model is using mobilenet v1 or SSD-mobilenet.
Also, through Tensorboard visualization as below:
https://imgur.com/a/RCqsEbN
I found that the model file includes mobilenet-V1 namescope and Openpose namescope. Would the other libraries/architectures like Openpose in my situation result in compiling failed? How to solve the problem?
Thanks.
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I tried some simple architectures with my own layers and compiled them successfully. Hence, I am sure NCSDK supports customized architectures if they are successfully parsed. Just don't know which part of this tf-openpose library could result in compilation failed. Could anyone give us a suggestion?
Thanks.
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Hi,
I found that "if statements" in the file of /usr/local/bin/ncsdk/Controllers/TensorFlowParser.py
For example:
"if shape.dims is None"
"if input_shape.dims is None"
For my graph input: (?, ?, ?, 3),
[Dimension(None), Dimension(None), Dimension(None), Dimension(3)]
Although element [0][1][2] are all None, the statements always return False and skip the value assigning inside the statement.
Therefore, the problem happens when it calls to acquire the value and find None_type.
Also, I am not sure if these can help me resolve the whole issue.
Could anyone help me for that?

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