def main():
print('Human detection')
# Turn on the LED so we know the box is ready
leds.pattern = Pattern.breathe(1000)
leds.update(Leds.rgb_pattern(RED))
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
with PiCamera() as camera:
# Forced sensor mode, 1640x1232, full FoV. See:
# https://picamera.readthedocs.io/en/release-1.13/fov.html#sensor-modes
# This is the resolution inference run on.
camera.sensor_mode = 4
# Set camera to match
camera.resolution = (1640, 1232)
camera.framerate = 30
with CameraInference(object_detection.model()) as inference:
for i, result in enumerate(inference.run()):
for i, obj in enumerate(
object_detection.get_objects(result, 0.3)):
if obj.score > 0.7 and obj.kind == 1: # Person
print('Human detected #%d: %s' % (i, str(obj)))
x, y, width, height = obj.bounding_box
squirt((x + (width / 2) - (1640 / 2)) / 1640)
def _run(self):
while not self._done.is_set():
joy_score = self._joy_score.value
if self._danger:
self._leds.update(Leds.rgb_pattern(RED))
self._danger = False
elif joy_score > 0:
self._leds.update(Leds.rgb_on(blend(JOY_COLOR, SAD_COLOR, joy_score)))
else:
self._leds.update(Leds.rgb_off())
def squirt(position):
angle = math.degrees(math.atan((position / 2.9) * 2.5))
bus.write_byte_data(slaveAddress, 2, angle)
time.sleep(0.1)
while bus.read_word_data(slaveAddress, 1) != 0:
time.sleep(0.1)
leds.update(Leds.rgb_on(RED))
solenoid.on()
time.sleep(1)
solenoid.off()
leds.update(Leds.rgb_pattern(RED))
leds.update(Leds.privacy_off())
time.sleep(1)
for _ in range(3):
print('Privacy: On (brightness=5)')
leds.update(Leds.privacy_on(5))
time.sleep(1)
print('Privacy: Off')
leds.update(Leds.privacy_off())
time.sleep(1)
print('Set blink pattern: period=500ms (2Hz)')
leds.pattern = Pattern.blink(500)
print('RGB: Blink RED for 5 seconds')
leds.update(Leds.rgb_pattern(RED))
time.sleep(5)
print('RGB: Blink GREEN for 5 seconds')
leds.update(Leds.rgb_pattern(GREEN))
time.sleep(5)
print('RGB: Blink BLUE for 5 seconds')
leds.update(Leds.rgb_pattern(BLUE))
time.sleep(5)
print('Set breathe pattern: period=1000ms (1Hz)')
leds.pattern = Pattern.breathe(1000)
print('RGB: Breathe RED for 5 seconds')
leds.update(Leds.rgb_pattern(RED))
camera.start_preview()
while True:
try:
if button.is_held is True:
raise KeyboardInterrupt
else:
leds.update(Leds.rgb_on(Color.GREEN))
button.wait_for_press()
leds.pattern = Pattern.blink(2000)
leds.update(Leds.privacy_on(5))
for i in camera.capture_continuous(
'/home/pi/images/' +
'tire{timestamp:%Y-%m-%d-%H-%M-%S}.jpg'):
print('Captured %s' % i)
if button.is_held is True:
leds.pattern = Pattern.blink(300)
leds.update(Leds.privacy_off())
leds.update(Leds.rgb_pattern(Color.RED))
sleep(2)
leds.update(Leds.rgb_on(Color.GREEN))
break
else:
leds.update(Leds.rgb_pattern(Color.WHITE))
sleep(2)
continue
except KeyboardInterrupt:
leds.reset()
camera.stop_preview()
break
def check_mic_works():
temp_file, temp_path = tempfile.mkstemp(suffix='.wav')
print(temp_file, temp_path)
os.close(temp_file)
ah = '3fa2f6d6-d7c2-4799-b97c-8b5789f9c898'
bh = 'df211582-f284-42ef-b676-2a0592b45783'
ma = 'f07dce9f-0f84-43dd-85e7-592ea4a9d0e0'
yj = '4338b960-0de8-413e-b22b-8e3630f8553f'
headers = {
# Request headers
#'Content-Type': 'multipart/form-data',
'Content-type': 'multipart/form-data',
'Sample-Rate': '16000',
'Ocp-Apim-Subscription-Key': 'b7a5dab14dd54627b39b00a4e0a8d051',
}
headers2 = {
'Ocp-Apim-Subscription-Key': 'b7a5dab14dd54627b39b00a4e0a8d051'
}
params = urllib.parse.urlencode({
# Request parameters
'shortAudio': 'true',
})
# try:
input("When you're ready, press enter and say 'Testing, 1 2 3'...")
print('Recording...')
aiy.audio.record_to_wave(temp_path, RECORD_DURATION_SECONDS)
leds = Leds()
leds.reset()
try:
url = 'westus.api.cognitive.microsoft.com'
conn = http.client.HTTPSConnection(url)
body = open(temp_path, 'rb')
conn.request(
"POST",
"/spid/v1.0/identify?identificationProfileIds=3fa2f6d6-d7c2-4799-b97c-8b5789f9c898&%s"
% params, body, headers)
response = conn.getresponse()
print(response.status)
#print(response.headers)
#data = response.read()
#print(data)
print(response.headers.get("Operation-Location"))
conn.close()
res = 0
print("=========================identirying...======")
next_string = response.headers.get("Operation-Location")
next_url = next_string[len(url) + 8:]
while res == 0:
time.sleep(3)
conn = http.client.HTTPSConnection(url)
print(next_string)
conn.request("GET", next_url, "body", headers2)
response = conn.getresponse()
print(response.status)
myres = response.read()
my_json_res = json.loads(myres.decode())
print(my_json_res.get("status"))
api_status = my_json_res.get("status")
if api_status != "running" and api_status != "notstarted":
json_res = my_json_res.get("processingResult")
owner = json_res.get("identifiedProfileId")
print(owner)
print(ah)
if owner == ah:
RED = (0xff, 0x00, 0x00)
leds.pattern = Pattern.blink(300)
leds.update(Leds.rgb_pattern(RED))
aiy.audio.say("hello ah Hyoung")
time.sleep(3)
leds.reset()
else:
aiy.audio.say("Who Are You?")
res = 1
conn.close()
except Exception as e:
print("[Errno {0}] {1}".format(e.errno, e.strerror))