Detecnet.py stop working

Robotics & Edge Computing Jetson & Embedded Systems Jetson Nano
1

I’m running the detecnet.py program from my jetson nano, everything works fine, but after a while it stops and shows the following error
what can it be? thank you very much to all

Traceback (most recent call last):
File “./detectnet.py”, line 62, in
img = input.Capture()
Exception: jetson.utils – videoSource failed to capture image
[gstreamer] gstDecoder – stopping pipeline, transitioning to GST_STATE_NULL
[gstreamer] gstDecoder – onPreroll()
[gstreamer] gstDecoder – pipeline stopped

THE CODE

import jetson.inference
import jetson.utils

import argparse
import sys

parse the command line

parser = argparse.ArgumentParser(description=“Locate objects in a live camera stream using an object detection DNN.”,
formatter_class=argparse.RawTextHelpFormatter, epilog=jetson.inference.detectNet.Usage() +
jetson.utils.videoSource.Usage() + jetson.utils.videoOutput.Usage() + jetson.utils.logUsage())

parser.add_argument(“input_URI”, type=str, default=“”, nargs=‘?’, help=“URI of the input stream”)
parser.add_argument(“output_URI”, type=str, default=“”, nargs=‘?’, help=“URI of the output stream”)
parser.add_argument(“–network”, type=str, default=“ssd-mobilenet-v2”, help=“pre-trained model to load (see below for options)”)
parser.add_argument(“–overlay”, type=str, default=“box,labels,conf”, help=“detection overlay flags (e.g. --overlay=box,labels,conf)\nvalid combinations are: ‘box’, ‘labels’, ‘conf’, ‘none’”)
parser.add_argument(“–threshold”, type=float, default=0.5, help=“minimum detection threshold to use”)

is_headless = [“–headless”] if sys.argv[0].find(‘console.py’) != -1 else [“”]

try:
opt = parser.parse_known_args()[0]
except:
print(“”)
parser.print_help()
sys.exit(0)

load the object detection network

net = jetson.inference.detectNet(opt.network, sys.argv, opt.threshold)

create video sources & outputs

input = jetson.utils.videoSource(‘rtsp://admin:admin1234@192.168.1.108:554/cam/realmonitor?channel=1&subtype=0’, argv=[‘–input-codec=H264’])

#input = jetson.utils.videoSource(opt.input_URI, argv=sys.argv)
output = jetson.utils.videoOutput(opt.output_URI, argv=sys.argv+is_headless)

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, overlay=opt.overlay)

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

for detection in detections:
	print(detection)

# render the image
output.Render(img)

# update the title bar
output.SetStatus("{:s} | Network {:.0f} FPS".format(opt.network, net.GetNetworkFPS()))

# print out performance info
net.PrintProfilerTimes()

# exit on input/output EOS
if not input.IsStreaming() or not output.IsStreaming():
	break
2

Hi @cbenglenok, it appears that it becomes unable to capture the video from the camera, or the camera has stopped sending it. Is there any error that appears in dmesg kernel log?

Which camera are you using? If you run the video-viewer sample from jetson-inference, does that lose the video after awhile too?

3

i am using a DAHUA IP CAMERA, i will try with video-viwer sample. Thanks and nice webinar