ros_deep_learning
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Add parameters in TensorNet creation function to configure input/output blob
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 ...