Do you know where the main detectnet.py script is located? I see a detectnet.py in the jetson-inference/python/examples directory.
#!/usr/bin/env python3
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import sys
import argparse
from jetson_inference import detectNet
from jetson_utils import videoSource, videoOutput, Log
# 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=detectNet.Usage() + videoSource.Usage() + videoOutput.Usage() + Log.Usage())
parser.add_argument("input", type=str, default="", nargs='?', help="URI of the input stream")
parser.add_argument("output", 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:
args = parser.parse_known_args()[0]
except:
print("")
parser.print_help()
sys.exit(0)
# create video sources and outputs
input = videoSource(args.input, argv=sys.argv)
output = videoOutput(args.output, argv=sys.argv+is_headless)
# load the object detection network
net = detectNet(args.network, sys.argv, args.threshold)
# note: to hard-code the paths to load a model, the following API can be used:
#
# net = detectNet(model="model/ssd-mobilenet.onnx", labels="model/labels.txt",
# input_blob="input_0", output_cvg="scores", output_bbox="boxes",
# threshold=args.threshold)
# process frames until EOS or the user exits
while True:
# capture the next image
img = input.Capture()
if img is None: # timeout
continue
# detect objects in the image (with overlay)
detections = net.Detect(img, overlay=args.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(args.network, net.GetNetworkFPS()))
# print out performance info
net.PrintProfilerTimes()
# exit on input/output EOS
if not input.IsStreaming() or not output.IsStreaming():
break
I assume I put my custom code to send out serial data within this while loop, and the values Im looking for should be in the detections array. Just making sure.
Thank you.