async def predict_api(file: UploadFile = File(...)):
extension = file.filename.split(".")[-1] in ("jpg", "jpeg", "png")
if not extension:
return "Image must be jpg or png format!"
image = read_imagefile(await file.read())
prediction = frc.classify_face(image)
return prediction
async def upload_image(file: UploadFile=File(...)):
contents = await file.read()
nparr = np.fromstring(contents, np.uint8)
img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
matched_image = frc.classify_face(img)
#print("hii")
img = cv2.imread('matched_image.png')
# return frc.classify_face(img)
return FileResponse("matched_image.png", media_type='application/octet-stream',filename="matched_image.png")
def snapshot(self):
# Get a frame from the video source
ret, frame = self.vid.get_frame()
print(classify_face(frame))
if ret:
cv2.imwrite(
"snapshot/IMG-" + time.strftime("%d-%m-%Y-%H-%M-%S") + ".jpg",
cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
def home():
if request.method == "POST":
if request.files:
image = request.files["image"]
print(image)
image.save(
os.path.join(app.config["IMAGE_UPLOADS"], image.filename))
names = classify_face(image.filename)
os.remove(image.filename)
return render_template("response.html", names=names)
return render_template("index.html")
def Facereco():
file = request.files['image_url']
if file == '':
response = jsonify({'message': 'gambar belum di upload'})
response.status_code = 400
return response
if allowed_file(file.filename) == True:
file_name = secure_filename(file.filename)
file.save(os.path.join('images/', file_name))
path_image = 'images/' + file_name
data = classify_face(path_image)
response = {'status': True, 'name': data}
return jsonify(response)
def who_is(message):
if message.photo != None:
print("Новое фото! Скачиваю...")
file_id = message.json['photo'][0]['file_id']
file = bot.get_file(file_id)
downloaded_file = bot.download_file(file.file_path)
src = (f"download/{file_id}.jpg")
with open(src, 'wb') as new_file:
new_file.write(downloaded_file)
print("Файл загружен.")
people = []
ans = ""
for person in classify_face(src):
if person == "Unknown":
sended_msg = bot.send_message(message.chat.id, 'Я не знаю этого человека.\nСкажи мне как его называть, чтобы я запомнил его, или напиши "Отмена".')
bot.register_next_step_handler(sended_msg, set_name, downloaded_file)
else:
ans = ans + person + "\n"
if ans != "":
bot.send_message(message.chat.id, (f"Это {ans}"))
else:
bot.send_message(message.chat.id, "Это не фото 🤠")
def recog(self):
ret, frame = self.vid.get_frame()
print(classify_face(frame))
frame75 = rescale_frame(frame, percent=75)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray,
scaleFactor=1.2,
minNeighbors=5)
for (x, y, w, h) in faces:
#print(x,y,w,h)
roi_gray = gray[y:y + h, x:x + w] #(ycord_start, ycord_end)
roi_color = frame[y:y + h + 50, x:x + w + 50]
img_item = "sample.jpg"
cv2.imwrite(img_item, roi_color)
color = (255, 0, 0) #BGR 0-255
stroke = 2
end_cord_x = x + w + 50
end_cord_y = y + h + 50
cv2.rectangle(frame, (x, y), (end_cord_x, end_cord_y), color, stroke)
# Display the resulting frame
cv2.imshow('frame', frame)
classify_face("sample.jpg")
if cv2.waitKey(20) & 0xFF == ord('q'):
break
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()
Bot.speak("If u have issues u can press the emergency button for help")
if UART.interrupt_check():
tour.alert()
clientName = Bot.listen()
for name in f_names:
if name == clientName: # in the name list
UART.open_gate()
client_id = sql.read_where('ID', f'F_name = {name}')
log(client_id, coming_plate)
time.sleep(10)
UART.close_gate()
else: # not in the name list
tour.alert()
else:
face_id = face_rec.classify_face(
'test_faces/test.jpg') # take face photo
registered_plate_id = sql.read_where('ID', f'car_num = {car_num}')
if face_id == registered_plate_id:
print('opened')
UART.open_gate()
log(face_id, car_num)
else: # num working face not working
Bot.speak(
"Hello welcome to guardsmarter! your face is not matching the correct plate number, is this your car?"
)
carValidate = Bot.listen() # Waiting for yes or no
if carValidate == ynList[0]:
Bot.speak("Ok, may i have your personal ID number?")
clientID = Bot.listen()
for cID in ID:
if cID == clientID: # ID match