Performance of nvargus-daemon

[DaneLLL]

Hi,
Please check if all sources can reach the framerate in running

$ gst-launch-1.0 nvarguscamerasrc maxperf=1 ! 'video/x-raw(memory:NVMM),format=NV12,width=1920,height=1080' ! fpsdisplaysink text-overlay=0 video-sink=fakesink sync=false -v

If yes, please try

$ gst-launch-1.0 nvarguscamerasrc maxperf=1 ! 'video/x-raw(memory:NVMM),format=NV12,width=1920,height=1080' ! nvvidconv ! video/x-raw,format=BGRx ! videoconvert ! video/x-raw,format=BGR ! fpsdisplaysink text-overlay=0 video-sink=fakesink sync=false -v

OpenCV takes video/x-raw,format=BGR in appsink. And we don’t support BGR in hardware converter engine. Please check

[Gstreamer] nvvidconv, BGR as INPUT

Hi, It is limitation of hardware VIC engine. You have to use videoconvert plugin in the usecase. We have DS4.0.1 for deep learning usecases. You may also check it and may be able to apply to your usease.

So for hooking with OpenCV, you need to do

nvvidconv ! video/x-raw,format=BGRx ! videoconvert ! video/x-raw,format=BGR

This takes certain CPU loading.

Or you may run

[Gstreamer] nvvidconv, BGR as INPUT

Hi, We have tried the following python code on TX2/r32.1/OpenCV3.4.1 import sys import cv2 def read_cam(): cap = cv2.VideoCapture("nvarguscamerasrc ! video/x-raw(memory:NVMM), width=(int)1920, height=(int)1080,format=(string)NV12, framerate=(fraction)30/1 ! nvvidconv ! video/x-raw, format=(string)I420 ! appsink") if cap.isOpened(): cv2.namedWindow("demo", cv2.WINDOW_AUTOSIZE) while True: ret_val, img = cap.read(); img2 = cv2.cvtColor(img, cv2.CO…

to call cv2.cvtColor(img, cv2.COLOR_YUV2BGR_I420) for format conversion.