Comments (7)
Hi @pokerface1o1 , could you provide the model path?
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I get the same error when I try with both network and weights. Both the file are in the same directory from which I run the code.
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er... I mean, could you share your model for us to testing?
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It contains both the symbol and weights file: ssd_inception_512
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I will try it and ping you if there is any progress. Thanks.
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@pokerface1o1 Were you able to resolve your issue? I am facing same problem.
@kitstar Is there any modifications related to object detection model support?
Thanks in advance.
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@pokerface1o1 @sbzed @kitstar
Hello, were you able to solve this issue?
I have trained a custom yolo3 darknet-53 (using gluon-cv mxnet)
I need to convert the model to tensorflow for final inference.
I am facing the same issue while converting yolo3_darknet-53 mxnet model to IR.
ai-mxnet/lib/python3.6/site-packages/mxnet/module/base_module.py:55: UserWarning: You created Module with Module(..., label_names=['softmax_label']) but input with name 'softmax_label' is not found in symbol.list_arguments(). Did you mean one of: data _defaultpreprocess0_init_mean _defaultpreprocess0_init_scale yolov30_yolooutputv30_offset_0 yolov30_yolooutputv30_anchor_0 yolov30_yolooutputv31_offset_1 yolov30_yolooutputv31_anchor_1 yolov30_yolooutputv32_offset_2 yolov30_yolooutputv32_anchor_2 warnings.warn(msg) Warning: MXNet Parser has not supported operator null with name data. Warning: convert the null operator with name [data] into input layer. Warning: MXNet Parser has not supported operator null with name _defaultpreprocess0_init_scale. Warning: convert the null operator with name [_defaultpreprocess0_init_scale] into input layer. infer_shape error. Arguments: data: (1, 3, 608, 608) ... call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [17:49:07] src/c_api/c_api_symbolic.cc:540: InferShapeKeyword argument name data not found. Candidate arguments: [0]_defaultpreprocess0_init_scale
Thanks!
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Related Issues (20)
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