def main():
'''
Main loop that initializes camera and other
'''
args = parse_args()
config = Config()
#Start Camera async class
cam = Camera(args)
cam.start()
#Start io writing queue
write_queue = WriteQueue()
write_queue.start()
if config.Inference.mode == 'detect':
print('Running detection')
detector = OpenVinoDetectorAsync(config.Inference)
else:
detector = OpenVinoClassifierAsync(config.Inference)
while True:
_,frame = cam.read()
start_time = time.time()
infer_frame = deepcopy(frame)
detections = detector.run(infer_frame)
timestamp = datetime.now(tz=timezone.utc).strftime('%Y-%m-%d-%H-%M-%S-%f')
path = 'tmp/' + timestamp + '.jpg'
if detections:
'''
Need to fix the bounding box locations
for detection in detections:
xmin = detection.position.xmin
ymin = detection.position.ymin
xmax = detection.position.xmax
ymax = detection.position.ymax
cv2.rectangle(frame, (int(xmin), int(ymin)), (int(xmax), int(ymax)), detection.color, 2)
'''
cv2.putText(frame,'HUMAN',(10,400), cv2.FONT_HERSHEY_SIMPLEX, 4,(25,25,255),2,cv2.LINE_AA)
cv2.imshow('frame', frame)
cv2.imwrite(path, frame)
#This has to RTT
upload_frame(path, config)
else:
#add to upload queue
write_queue.enqueue(path, frame)
end_time = time.time()
print("[LOGS] ---PIPELINE TIME--- **{}**".format(end_time-start_time))
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cam.stop()
write_queue.stop()
cv2.destroyAllWindows()
from temperature import Temperature
from light import Light
from cam import Camera
import time
import RPi.GPIO as GPIO
if __name__ == "__main__":
GPIO.setmode(GPIO.BCM)
camera = Camera("pub_monitor_thread")
camera.start()
while True:
# get and pub temperature
temperature = Temperature()
temperature.pub_temperature()
# get and pub light
light = Light(17, 0)
light.pub_light()
time.sleep(1)
