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Add parameters in TensorNet creation function to configure input/output blob #43

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Add parameters in TensorNet creation function to configure input/output blob #43

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@ZeppLu ZeppLu commented Jul 29, 2020

For example, in the command-line utility provided by jetson-inference, you can:

detectnet --input-blob=input_0 --output-cvg=scores --output-bbox=boxes ...

And now in ROS, you can do the same thing by:

rosrun ros_deep_learning detectnet _input_blob:=input_0 _output_cvg:=scores _output_bbox:=boxes ...

@ZeppLu
add configurable parameters in TensorNet creation function
5481d2c 
ImageNet:  input_blob, output_blob
DetectNet: input_blob, output_cvg, output_bbox
SedNet:    input_blob, output_blob

all correspond to the same arguments in commandline utility
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