what is the on board TX2 camera pipelines?

Hi, i want to develop face recognition on TX2

does anyone knows the on board TX2 camera pipelines? i want to try add the pipelines to this code:

def get_jetson_gstreamer_source(capture_width=1280, capture_height=720, display_width=1280, display_height=720, framerate=60, flip_method=0):
    Return an OpenCV-compatible video source description that uses gstreamer to capture video from the camera on a Jetson Nano
    return (
            f'nvarguscamerasrc ! video/x-raw(memory:NVMM), ' +
            f'width=(int){capture_width}, height=(int){capture_height}, ' +
            f'format=(string)NV12, framerate=(fraction){framerate}/1 ! ' +
            f'nvvidconv flip-method={flip_method} ! ' +
            f'video/x-raw, width=(int){display_width}, height=(int){display_height}, format=(string)BGRx ! ' +
            'videoconvert ! video/x-raw, format=(string)BGR ! appsink'

i get the code from https://medium.com/@ageitgey/build-a-hardware-based-face-recognition-system-for-150-with-the-nvidia-jetson-nano-and-python-a25cb8c891fd. and the pipelines from that code for jetson nano camera (raspberry pie camera). does anyone know the pipelines for on board TX2 camera? any answer would be appreciate it. Thank you

hello farhanrbnn,

your implementation were based-on nvarguscamerasrc,
please refer to Camera Architecture Stack for the camera software architecture.