Jetson utils argument passing from C++ utils to Python

[steven.sparks]

Can’t seem to see the argument correspondence (position & type) between the c++ util program and the python program like:
/home/my-name/jetson-inference/build/aarch64/bin/cuda-examples.py
having code like:
import jetson.utils
jetson.utils.cudaDrawLine(color_img, (25,150), (325,15), (255,0,200,200), 10)
color_img = input
(25,150) = x1,y1
(325,15) = x2,y2
(255,0,200 = color
200) = light transmission
10 = line width

and the C++ util programs:
/home/my-name/jetson-inference/utils/cuda/cudaDraw.cu & cudaDraw.h
having code like:
cudaError_t cudaDrawLine( void* input, void* output, size_t width, size_t height, imageFormat format, int x1, int y1, int x2, int y2, const float4& color, float line_width )

Where and what translates the positions between the calling python program and the util programs? Some
arguments seem missing from the calling python program .
I understands there is a program that decodes types between C++ and python but I don’t know if that’s in play here.

And yes this may be a basic C++ Python question. But if you could steer me in the right direction I’d appreciate it.

[kayccc]

Which JetPack version and Jetson platform you’re using?

[steven.sparks]

JetPack 4.6
Developer Kit with 4GB

[AastaLLL]

Hi,

You can find the binding source below:

https://github.com/dusty-nv/jetson-utils/blob/master/python/bindings/PyCUDA.cpp#L1415

PyArg_ParseTupleAndKeywords(args, kwds, "O(ff)(ff)O|fO", kwlist, &pyInput, &x1, &y1, &x2, &y2, &pyColor, &line_width, &pyOutput)
...
PyCudaImage* input = PyCUDA_GetImage(pyInput);
PyCudaImage* output = PyCUDA_GetImage(pyOutput);
...
cudaDrawLine(input->base.ptr, output->base.ptr, input->width, input->height, input->format,
						    x1, y1, x2, y2, color, line_width)) )
...

The main difference is that the width, height and imageFormat information is retrieving from the pyInput variable directly.
You don’t need to feed these values in the python interface.

Thanks.