Object detection and recording video

Autonomous Machines Jetson & Embedded Systems Jetson Nano
7

@dusty_nv

I tried running the code :

import jetson.inference
import jetson.utils
import time
import argparse
import sys

# create video output object 
output = jetson.utils.videoOutput(f"output{time.time()}.mp4","--headless")
	
# load the object detection network
net = jetson.inference.detectNet("ssd-mobilenet-v2", threshold=0.5)

# create video sources
input = jetson.utils.videoSource("v4l2:///dev/video0")


# process frames until the user exits
while True:
	# capture the next image
	img = input.Capture()

	# detect objects in the image (with overlay)
	detections = net.Detect(img)

	# print the detections
	print("detected {:d} objects in image".format(len(detections)))

	for detection in detections:
		print(detection)

	# render the image
	output.Render(img)


	# exit on input/output EOS
	if not input.IsStreaming() or not output.IsStreaming():
		break

Which produced the 1280x720 video (default). The timing was correct.

But the video is only 13fps.

I guess some other code runs when executing ./detectnet from the terminal.