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