def main():
"""Face detection camera inference example."""
parser = argparse.ArgumentParser()
parser.add_argument('--num_frames', '-n', type=int, dest='num_frames', default=None,
help='Sets the number of frames to run for, otherwise runs forever.')
args = parser.parse_args()
leds = Leds()
leds.reset()
leds.update(Leds.privacy_on())
noCustomerDelay = 0;
with PiCamera(sensor_mode=4, resolution=(1640, 1232)) as camera:
# with PiCamera(sensor_mode=4, resolution=(1640, 1232), framerate=30) as camera:
# with PiCamera() as camera:
camera.start_preview()
with CameraInference(face_detection.model()) as inference:
for result in inference.run():
if len(face_detection.get_faces(result)) >= 1:
noCustomerDelay = 0
leds.update(Leds.rgb_on(GREEN))
# stream = io.BytesIO()
# camera.capture(stream, format='jpeg')
# stream.seek(0)
camera.capture('faces.jpg')
faces = GetFaceId('faces.jpg')
print(faces)
if(len(faces) > 0):
result = GetUserId(faces[0])
print(result)
highestScore = 0
userId = ""
for face in result:
for candidate in face['candidates']:
if(highestScore < candidate['confidence']):
userId = candidate['personId']
InfoVendingMachine("10", userId)
print(userId)
# break
else:
if noCustomerDelay >= 30:
leds.update(Leds.rgb_on(WHITE))
InfoVendingMachine("10", '')
noCustomerDelay = 0;
else:
noCustomerDelay += 1;
camera.stop_preview()
leds.reset()
def main():
status_ui = aiy.voicehat.get_status_ui()
status_ui.status('starting')
assistant = aiy.assistant.grpc.get_assistant()
#button = aiy.voicehat.get_button()
leds = Leds()
with aiy.audio.get_recorder():
while True:
status_ui.status('ready')
#print('Press the button and speak')
#button.wait_for_press()
leds.reset()
status_ui.status('listening')
print('Listening...')
text, audio = assistant.recognize()
def main():
with PiCamera(resolution=(1640, 922)) as camera:
with CameraInference(face_detection.model()) as inference:
for result in inference.run():
if len(face_detection.get_faces(result)) >= 1:
print("face detected!")
h264_file_path = generate_filename(datetime.datetime.now())
leds = Leds()
with PrivacyLed(leds):
camera.start_recording(h264_file_path, format='h264')
sleep(5)
camera.stop_recording()
leds.reset()
output_file_path = h264_to_mp4(h264_file_path)
upload_video_to_slack(output_file_path, SLACK_TOKEN,
SLACK_CHANNEL_ID)
time.sleep(0.1)
print('RGB: Blend between GREEN and BLUE for 3.2 seconds')
for i in range(32):
leds.update(Leds.rgb_on(blend(BLUE, GREEN, i / 32)))
time.sleep(0.1)
print('RGB: Off for 1 second')
leds.update(Leds.rgb_off())
time.sleep(1)
print('Privacy: On for 2 seconds')
with PrivacyLed(leds):
time.sleep(2)
print('RGB: Solid GREEN for 2 seconds')
with RgbLeds(leds, Leds.rgb_on(GREEN)):
time.sleep(2)
print('Custom configuration for 5 seconds')
leds.update({
1: Leds.Channel(Leds.Channel.PATTERN, 128), # Red channel
2: Leds.Channel(Leds.Channel.OFF, 0), # Green channel
3: Leds.Channel(Leds.Channel.ON, 128), # Blue channel
4: Leds.Channel(Leds.Channel.PATTERN, 64), # Privacy channel
})
time.sleep(5)
print('Done')
leds.reset()
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))