Model Optimizer arguments:
Common parameters:
	- Path to the Input Model: 	/home/tiger/vs_object_detection_models/object_detection_yolov5_mixed/mbin/model.onnx
	- Path for generated IR: 	/home/tiger/vs_object_detection_models/object_detection_yolov5_mixed/mbin
	- IR output name: 	model
	- 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: 	[-1,3,-1,-1]
	- Mean values: 	Not specified
	- Scale values: 	Not specified
	- Scale factor: 	Not specified
	- Precision of IR: 	FP16
	- Enable fusing: 	True
	- Enable grouped convolutions fusing: 	True
	- Move mean values to preprocess section: 	None
	- Reverse input channels: 	False
ONNX specific parameters:
	- Inference Engine found in: 	/opt/intel/openvino_2021/python/python3.8/openvino
Inference Engine version: 	2021.4.1-3926-14e67d86634-releases/2021/4
Model Optimizer version: 	2021.4.1-3926-14e67d86634-releases/2021/4
[ ERROR ]  The ExpandDims node Unsqueeze_333 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_335 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_337 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_365 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_367 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_370 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_372 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_407 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_421 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_423 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_425 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_453 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_455 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_458 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_460 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_495 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_509 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_511 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_513 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_541 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_543 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_546 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_548 has more than 1 input
[ ERROR ]  The ExpandDims node Unsqueeze_583 has more than 1 input
[ ERROR ]  Cannot infer shapes or values for node "Slice_4".
[ ERROR ]  Output shape: [0 3 0 0] of node "Slice_4" contains non-positive values
[ ERROR ]  
[ ERROR ]  It can happen due to bug in custom shape infer function <function Slice.infer at 0x7fda43996f70>.
[ ERROR ]  Or because the node inputs have incorrect values/shapes.
[ ERROR ]  Or because input shapes are incorrect (embedded to the model or passed via --input_shape).
[ ERROR ]  Run Model Optimizer with --log_level=DEBUG for more information.
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Stopped shape/value propagation at "Slice_4" node. 
 For more information please refer to Model Optimizer FAQ, question #38. (https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html?question=38#question-38)