#!/usr/bin/python
#
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
# DEALINGS IN THE SOFTWARE.
#
import jetson.inference
import jetson.utils
import requests
import time
import argparse
import sys
def rem_pause():
url = "http://192.168.1.100/sony/ircc"
payload = "<s:Envelope\r\n xmlns:s=\"http://schemas.xmlsoap.org/soap/envelope/\"\r\n s:encodingStyle=\"http://schemas.xmlsoap.org/soap/encoding/\">\r\n <s:Body>\r\n <u:X_SendIRCC xmlns:u=\"urn:schemas-sony-com:service:IRCC:1\">\r\n <IRCCCode>AAAAAgAAAJcAAAAZAw==</IRCCCode>\r\n </u:X_SendIRCC>\r\n </s:Body>\r\n</s:Envelope>"
headers = {
'Accept': '*/*',
'Content-Type': 'text/xml',
'SOAPACTION': '"urn:schemas-sony-com:service:IRCC:1#X_SendIRCC"',
'X-Auth-PSK': '1234'
}
response = requests.request("POST", url, headers=headers, data = payload)
print(response.text.encode('utf8'))
def rem_play():
url = "http://192.168.1.100/sony/ircc"
payload = "<s:Envelope\r\n xmlns:s=\"http://schemas.xmlsoap.org/soap/envelope/\"\r\n s:encodingStyle=\"http://schemas.xmlsoap.org/soap/encoding/\">\r\n <s:Body>\r\n <u:X_SendIRCC xmlns:u=\"urn:schemas-sony-com:service:IRCC:1\">\r\n <IRCCCode>AAAAAgAAAJcAAAAaAw==</IRCCCode>\r\n </u:X_SendIRCC>\r\n </s:Body>\r\n</s:Envelope>"
headers = {
'Accept': '*/*',
'Content-Type': 'text/xml',
'SOAPACTION': '"urn:schemas-sony-com:service:IRCC:1#X_SendIRCC"',
'X-Auth-PSK': '1234'
}
response = requests.request("POST", url, headers=headers, data = payload)
print(response.text.encode('utf8'))
# 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())
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")
parser.add_argument("--camera", type=str, default="0", help="index of the MIPI CSI camera to use (e.g. CSI camera 0)\nor for VL42 cameras, the /dev/video device to use.\nby default, MIPI CSI camera 0 will be used.")
parser.add_argument("--width", type=int, default=1280, help="desired width of camera stream (default is 1280 pixels)")
parser.add_argument("--height", type=int, default=720, help="desired height of camera stream (default is 720 pixels)")
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 the camera and display
camera = jetson.utils.gstCamera(opt.width, opt.height, opt.camera)
display = jetson.utils.glDisplay()
pausepl=0
# process frames until user exits
while display.IsOpen():
# capture the image
img, width, height = camera.CaptureRGBA()
# detect objects in the image (with overlay)
detections = net.Detect(img, width, height, opt.overlay)
# print the detections
print("detected {:d} objects in image".format(len(detections)))
for detection in detections:
print(detection)
if len(detections)>0 and pausepl==1:
rem_play()
pausepl=0
time.sleep(1)
if(len(detections)==0 and pausepl==0):
rem_pause()
pausepl=1
time.sleep(1)
# render the image
display.RenderOnce(img, width, height)
# update the title bar
display.SetTitle("{:s} | Network {:.0f} FPS".format(opt.network, net.GetNetworkFPS()))
#display.SetTitle(list.count(detections))
# print out performance info
net.PrintProfilerTimes()
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