Hi, thank you for the elegant implementation into OpenVINO framework!
I encountered converting issue in inference with OpenVINO step 3 as:
[ ERROR ] Cannot pre-process ONNX graph after reading from model file "ProjectPath\human-pose-estimation-3d.onnx". File is corrupt or has unsupported format. Details: 'Graph' object has no attribute 'node'
In step 2, the ONNX converting script print long log list with module layer shape, and some weird messge like:
%401 : Float(1, 32, 128, 224) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[3, 3], pads=[1, 1, 1, 1], strides=[2, 2]](%data, %model.0.0.weight) # C:\Users\envyi\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\conv.py:342:0
My OS is Windows 10, and the demo runs normally.
Looking forward to your help.
Hi, thank you for the elegant implementation into OpenVINO framework! I encountered converting issue in inference with OpenVINO step 3 as:
[ ERROR ] Cannot pre-process ONNX graph after reading from model file "ProjectPath\human-pose-estimation-3d.onnx". File is corrupt or has unsupported format. Details: 'Graph' object has no attribute 'node'
In step 2, the ONNX converting script print long log list with module layer shape, and some weird messge like:%401 : Float(1, 32, 128, 224) = onnx::Conv[dilations=[1, 1], group=1, kernel_shape=[3, 3], pads=[1, 1, 1, 1], strides=[2, 2]](%data, %model.0.0.weight) # C:\Users\envyi\AppData\Local\Programs\Python\Python37\lib\site-packages\torch\nn\modules\conv.py:342:0
My OS is Windows 10, and the demo runs normally. Looking forward to your help.