def do_POST(self):
formData = cgi.FieldStorage(self.rfile,
headers=self.headers,
environ={'REQUEST_METHOD': 'POST'})
content = formData.getvalue('content')
img = Image.open(BytesIO(content))
base_name = str(int(time.time()))
image_name = base_name + '.bmp'
img.save(image_name)
ocr_image = ocr.ocr(image_name, base_name)
ocr_name = base_name + '.png'
Image.fromarray(ocr_image).save(ocr_name)
blob = storage.upload(CONFIG.project_id,
CONFIG.buket,
ocr_name,
service_account_file='service_account.json')
signed_url = storage.signed_url_for_png(blob)
shutil.os.remove(image_name)
shutil.os.remove(base_name + '.tsv')
shutil.os.remove(ocr_name)
self.send_response(HTTPStatus.OK)
self.send_header('Content-type', 'application/json')
self.end_headers()
responseBody = json.dumps({'url': signed_url})
self.wfile.write(responseBody.encode('utf-8'))
def gen(df):
for idx, row in df.iterrows():
if row['code'] == 66:
(image_name, image_file) = get_img(row, FLAGS.apikey)
result = upload('trav.finsyn.se', f'tracks/{image_name}.jpg',
image_file)
print(result)
def process_audio_and_upload(url: str):
with tempfile.NamedTemporaryFile(
suffix='.mp3') as source_file, tempfile.NamedTemporaryFile(
suffix='.wav') as output_file:
download_from_url(url, source_file.name)
modify_audio(source_file.name, output_file.name)
return storage.upload(output_file.name)
def handle(request):
"""Responds to any HTTP request.
Args:
request (flask.Request): HTTP request object.
Returns:
The response text or any set of values that can be turned into a
Response object using
`make_response <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>`.
"""
if request.method == 'OPTIONS':
# Allows GET requests from any origin with the Content-Type
# header and caches preflight response for an 3600s
headers = {
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Methods': 'POST',
'Access-Control-Allow-Headers': 'Content-Type',
'Access-Control-Max-Age': '3600'
}
return '', 204, headers
execution_id = request.headers.get("Function-Execution-Id")
# Set CORS headers for the main request
headers = {'Access-Control-Allow-Origin': '*'}
request_json = request.get_json()
image = request_json.get('image')
image_bytes = base64.b64decode(image.encode())
storage.upload(image_bytes, execution_id)
predictions = get_predictions(image, execution_id)
log_predictions(predictions)
coloured = identify_colours_with_kmeans(image_bytes, predictions)
found_set = find_set(coloured)
response = json.dumps(found_set)
return response, 200, headers
def hello():
voter_id = request.cookies.get('voter_id')
if not voter_id:
voter_id = hex(random.getrandbits(64))[2:-1]
vote = None
if request.method == 'POST':
vote = request.form['vote']
data = json.dumps({'voter_id': voter_id, 'vote': vote})
# redis.rpush('votes', data)
storage.upload(data)
resp = make_response(
render_template(
'index.html',
option_a=option_a,
option_b=option_b,
hostname=hostname,
vote=vote,
))
resp.set_cookie('voter_id', voter_id)
return resp
button = gpiozero.Button(17)
ready_message = "[PiCeDoFi-IMAPI-RU] system ready"
try:
audio.play_mp3("startup_comment.mp3")
os.system('clear')
print(ready_message)
while True:
if button.is_pressed:
print("starting preview...")
camera.preview(button)
camera.capture(image_file)
print('working...')
audio.play_mp3("intro_comment.mp3")
# upload picture to S3
s3 = storage.upload(image_file)
image = draw.load_image(image_file)
# call rekognition apis
# Step 1. Are there faces in the image?
face_result = rekognition.detect_faces_api(s3)
face_labels = rekognition.get_face_labels(face_result, ct)
if face_labels:
os.system('clear')
draw.display_text(face_labels)
database.inc(face_labels)
audio.play_mp3("faces_comment.mp3")
polly.speak(face_labels)
draw.annotate_faces(image, face_result)
# Step 2. Is the picture of a celebrity?
celeb_result = rekognition.detect_celebrities_api(s3)
celeb_labels = rekognition.get_celebrity_labels(
print("system ready...")
while True:
# speaker will emit a ready signal when the system is initialized
# init
celeb_result = None
celeb_labels = []
# object is triggered by a mechanical action - button push
if button.is_pressed:
print("working...")
# speaker emits a countdown
# capture picture from camera
camera = picamera.PiCamera()
camera.capture(image_file)
# upload picture to S3
s3 = storage.upload(image_file)
# call rekognition apis
# Step 1. Are there faces in the image?
face_result = rekognition.detect_faces_api(s3)
face_labels = rekognition.get_face_labels(face_result, ct)
if face_labels:
database.inc(face_labels)
# Step 2. Is the picture of a celebrity?
celeb_result = rekognition.detect_celebrities_api(s3)
celeb_labels = rekognition.get_celebrity_labels(celeb_result, ct)
if celeb_labels:
database.inc(celeb_labels)
# Step 3. Are there words?
text_result = rekognition.detect_text_api(s3)
text_labels = rekognition.get_text_labels(text_result, ct)
# Step 4. What else is in the picture?
from servicebus import enqueue
from storage import delete, upload
delete('file1.txt')
delete('file2.txt')
delete('file3.txt')
upload('./sample_file.txt', 'file1.txt')
upload('./sample_file.txt', 'file2.txt')
upload('./sample_file.txt', 'file3.txt')
data1 = '{"timestamp": "2019-09-25 00:00:00.000000", "filename": "file1.txt", "device_id": "device1"}'
data2 = '{"timestamp": "2019-09-25 00:00:00.000000", "filename": "file2.txt", "device_id": "device2"}'
data3 = '{"timestamp": "2019-09-25 00:00:00.000000", "filename": "file3.txt", "device_id": "device3"}'
enqueue(data1, 'SERVICE_BUS_INPUT_QUEUE')
enqueue(data2, 'SERVICE_BUS_INPUT_QUEUE')
enqueue(data3, 'SERVICE_BUS_INPUT_QUEUE')
def checkFingerprint(self):
while True:
try:
print('mode: ' + self.mode)
print('Waiting for finger...')
self.lcdControl.lcd_clear()
self.lcdControl.lcd_display_string("mode: " + self.mode, 1)
self.lcdControl.lcd_display_string("Waiting Finger", 2)
while self.f.readImage() == False and self.mode == 'check':
pass
if self.mode != 'check':
return
self.f.convertImage(0x01)
print('Remove finger...')
self.lcdControl.lcd_clear()
self.lcdControl.lcd_display_string("mode: " + self.mode, 1)
self.lcdControl.lcd_display_string("Remove Finger...", 2)
time.sleep(2)
result = self.f.searchTemplate()
positionNumber = result[0]
os.killpg(os.getpgid(self.p.pid), signal.SIGKILL)
with PiCamera() as camera:
camera.start_preview()
time.sleep(1)
camera.capture('/home/pi/Desktop/image.jpg')
camera.stop_preview()
self.var = self.rand()
if storage.download('doorlock/' + self.var + '.jpg'):
self.var = self.rand()
storage.upload('/home/pi/Desktop/image.jpg',
'doorlock/' + self.var + '.jpg')
self.camera()
if (positionNumber >= 0):
print('Success #' + str(positionNumber))
self.lcdControl.lcd_clear()
self.lcdControl.lcd_display_string("mode: " + self.mode, 1)
self.lcdControl.lcd_display_string(
"Success #" + str(positionNumber), 2)
GPIO.output(21, True)
time.sleep(1)
GPIO.output(21, False)
now = datetime.datetime.now()
timenow = now.strftime('%Y-%m-%d %H:%M:%S')
picturePath = storage.path('doorlock/' + self.var + '.jpg')
doorLockstatus = '정상'
self.sc.sndMsg('doorlock\timage\t' + str(picturePath[3:]) +
'\t' + timenow + '\t' + doorLockstatus)
else:
print('Failed to FingerPrint')
self.lcdControl.lcd_clear()
self.lcdControl.lcd_display_string("mode: " + self.mode, 1)
self.lcdControl.lcd_display_string("Falied Finger", 2)
time.sleep(1)
now = datetime.datetime.now()
timenow = now.strftime('%Y-%m-%d %H:%M:%S')
picturePath = storage.path('doorlock/' + self.var + '.jpg')
doorLockstatus = '비정상'
self.sc.sndMsg('doorlock\timage\t' + str(picturePath[3:]) +
'\t' + timenow + '\t' + doorLockstatus)
except Exception as e:
print('Operation failed!')
print('Exception message: ' + str(e))
