def run_program():
# initialize the camera and grab a reference to the raw camera capture
camera = PiVideoStream().start()
# initialize the sound object
soundObj = sound()
# allow the camera to warm up
time.sleep(2.0)
# welcome message
soundObj.raspberry = True
soundObj.play_sound('hello', False)
cap = capture(640, 480)
# run cardigan processes
try:
while True:
# reload config
config = Config().getConfig()
# load frame from camera
frame = camera.read()
# start record
if config['dvr']:
cap.captureFrame(frame)
# get GPS data
position = json.loads(GPS.getPos())
if config['in_calibration'] or (position and position['speed'] <
config['activation_speed']):
# Start ADAS process
frameAnalyzer.analyze_frame(frame, True, True, True)
except KeyboardInterrupt:
print "\nattempting to close."
camera.stop()
print "\nBye Bye ;-)"
camera.stop()
from classes.capture import capture
from classes.gps import GPS
import time
# # load image
# image = cv2.imread('training/set6/1.png')
# frameAnalyzer.analyze_frame(image, True, False, True)
# load video file
filename = '1464525420'
gps = GPS()
cap = cv2.VideoCapture(PARENT_DIR + "/training/wGPS/clip/"+filename+".avi")
capture = capture(int(cap.get(3)), int(cap.get(4)))
start = time.clock()
c = 0
while True:
# if c >0:
# cv2.waitKey(0)
# c +=1
# # print c
if cap.grab():
gps.updateSystemPositionData(int(time.clock() - start), filename)
flag, frame = cap.retrieve()
frameAnalyzer.analyze_frame(frame, True, True, False, True)
import cv2
from classes import frameAnalyzer
from config import *
from classes.capture import capture
from classes.gps import GPS
import time
# # load image
# image = cv2.imread('training/set6/1.png')
# frameAnalyzer.analyze_frame(image, True, False, True)
# load video file
filename = '1464525420'
gps = GPS()
cap = cv2.VideoCapture(PARENT_DIR + "/training/wGPS/clip/" + filename + ".avi")
capture = capture(int(cap.get(3)), int(cap.get(4)))
start = time.clock()
c = 0
while True:
# if c >0:
# cv2.waitKey(0)
# c +=1
# # print c
if cap.grab():
gps.updateSystemPositionData(int(time.clock() - start), filename)
flag, frame = cap.retrieve()
frameAnalyzer.analyze_frame(frame, True, True, False, True)