def f4():
digit4 = time[0:24, 41:50]
write_digit4=cv2.imwrite(path+"/images_written/digit4.jpg",digit4)
read = cv2.imread(path+"/images_written/digit4.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit4 = cv2.imwrite(path+"/images_written/digit4.jpg", resized)
binary_convert(path+"/images_written/digit4.jpg")
center(path+"/images_written/digit4.jpg", "digit4.jpg")
digit4 = cv2.imread(path+"/images_written/digit4.jpg", cv2.IMREAD_GRAYSCALE)
digit4 = cv2.resize(digit4, (28, 28), interpolation=cv2.INTER_LINEAR)
digit4 = digit4.reshape(1, 28, 28, 1)
predict4 = digit_model.predict(digit4)
actual_prediction4=np.argmax(predict4, axis=1)
actual_prediction[3] = actual_prediction4
return
def f3():
digit3 = time[0:24, 32:40]
write_digit3=cv2.imwrite(path+"/images_written/digit3.jpg",digit3)
read = cv2.imread(path+"/images_written/digit3.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit3 = cv2.imwrite(path+"/images_written/digit3.jpg", resized)
binary_convert(path+"/images_written/digit3.jpg")
center(path+"/images_written/digit3.jpg", "digit3.jpg")
digit3 = cv2.imread(path+"/images_written/digit3.jpg", cv2.IMREAD_GRAYSCALE)
digit3 = cv2.resize(digit3, (28, 28), interpolation=cv2.INTER_LINEAR)
digit3 = digit3.reshape(1, 28, 28, 1)
predict3 = digit_model.predict(digit3)
actual_prediction3=np.argmax(predict3, axis=1)
actual_prediction[2] = actual_prediction3
return
def f2():
digit2 = time[0:24, 19:28]
write_digit2=cv2.imwrite(path+"/images_written/digit2.jpg",digit2)
read = cv2.imread(path+"/images_written/digit2.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit2 = cv2.imwrite(path+"/images_written/digit2.jpg", resized)
binary_convert(path+"/images_written/digit2.jpg")
center(path+"/images_written/digit2.jpg", "digit2.jpg")
digit2 = cv2.imread(path+"/images_written/digit2.jpg", cv2.IMREAD_GRAYSCALE)
digit2 = cv2.resize(digit2, (28, 28), interpolation=cv2.INTER_LINEAR)
digit2 = digit2.reshape(1, 28, 28, 1)
predict2 = digit_model.predict(digit2)
actual_prediction2=np.argmax(predict2, axis=1)
actual_prediction[1] = actual_prediction2
return
def f1():
digit1 = time[0:24, 10:19]
write_digit1=cv2.imwrite(path+"/images_written/digit1.jpg",digit1)
read = cv2.imread(path+"/images_written/digit1.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit1 = cv2.imwrite(path+"/images_written/digit1.jpg", resized)
binary_convert(path+"/images_written/digit1.jpg")
center(path+"/images_written/digit1.jpg", "digit1.jpg")
digit1 = cv2.imread(path+"/images_written/digit1.jpg", cv2.IMREAD_GRAYSCALE)
digit1 = cv2.resize(digit1, (28, 28), interpolation=cv2.INTER_LINEAR)
digit1 = digit1.reshape(1, 28, 28, 1)
predict1 = digit_model.predict(digit1)
actual_prediction1=np.argmax(predict1, axis=1)
actual_prediction[0] = actual_prediction1
return
(255, 255, 0), 2)
#Adicionando linha para 30px abaixo da geral
cv2.line(frame, (xy1[0], posL + offset), (xy2[0], posL + offset),
(255, 255, 0), 2)
#Contador para diferenciar as pessoas
i = 0
#Percorendo o array do contorno
for cntrs in contours:
#Calculando X, Y, a largura e a altura
(x, y, w, h) = cv2.boundingRect(cntrs)
#Calculando a área
area = cv2.contourArea(cntrs)
#Criando um filtro da área
if int(area) > 2500:
#Calculando o centro do retangulo
centro = center(x, y, w, h)
#Definindo o id da pessoa com base na quantidade de pessoas na imagem
cv2.putText(frame, str(i), (x + 5, y + 15),
cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 255, 255), 2)
#Circulo no meio do quadrado
cv2.circle(frame, centro, 4, (0, 0, 255), -1)
#Retangulo ao redor do objeto
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
if len(detects) <= i:
detects.append([])
if centro[1] > posL - offset and centro[1] < posL + offset:
detects[i].append(centro)
else:
detects[i].clear()
#Passando um valor, caso exista algo na imagem
def process_video():
# print("f**k");input()
timefromfe=request.data.decode('UTF-8')
currentframe=convert2(timefromfe)*framerate
cap.set(cv2.CAP_PROP_POS_FRAMES,currentframe)
success, frame = cap.read()
if success == False:
print(success)
original_frame=cv2.imwrite(path+"/images_written/frametest.jpg",frame) ## save current frame
read_orig=cv2.imread(path+"/images_written/frametest.jpg")
time = read_orig[55:80, 930:990]
colon = time[0:24, 28:32]
write_colon=cv2.imwrite(path+"/images_written/colon_video.jpg",colon) ## save colon position to predict
binary_convert_colon(path+"/images_written/colon_video.jpg")
read_bw_colon = cv2.imread(path+"/images_written/colon_video.jpg", cv2.IMREAD_GRAYSCALE)
colon_resized = cv2.resize(read_bw_colon, (28, 28), interpolation=cv2.INTER_LINEAR)
colon_reshaped = colon_resized.reshape(1, 28, 28, 1)
predictions = model.predict(colon_reshaped)
actual_predictions=np.argmax(predictions, axis=1)
if actual_predictions[0]==1:
t1 = Thread(target=f1)
t2 = Thread(target=f2)
t3 = Thread(target=f3)
t4 = Thread(target=f4)
t1.start()
t2.start()
t3.start()
t4.start()
##Predict first digit in format ##:##
digit1 = time[0:24, 10:19]
write_digit1=cv2.imwrite(path+"/images_written/digit1.jpg",digit1)
read = cv2.imread(path+"/images_written/digit1.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit1 = cv2.imwrite(path+"/images_written/digit1.jpg", resized)
binary_convert(path+"/images_written/digit1.jpg")
center(path+"/images_written/digit1.jpg", "digit1.jpg")
digit1 = cv2.imread(path+"/images_written/digit1.jpg", cv2.IMREAD_GRAYSCALE)
digit1 = cv2.resize(digit1, (28, 28), interpolation=cv2.INTER_LINEAR)
digit1 = digit1.reshape(1, 28, 28, 1)
predict1 = digit_model.predict(digit1)
actual_prediction1=np.argmax(predict1, axis=1)
# #Predict second digit in format ##:##
digit2 = time[0:24, 19:28]
write_digit2=cv2.imwrite(path+"/images_written/digit2.jpg",digit2)
read = cv2.imread(path+"/images_written/digit2.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit2 = cv2.imwrite(path+"/images_written/digit2.jpg", resized)
binary_convert(path+"/images_written/digit2.jpg")
center(path+"/images_written/digit2.jpg", "digit2.jpg")
digit2 = cv2.imread(path+"/images_written/digit2.jpg", cv2.IMREAD_GRAYSCALE)
digit2 = cv2.resize(digit2, (28, 28), interpolation=cv2.INTER_LINEAR)
digit2 = digit2.reshape(1, 28, 28, 1)
predict2 = digit_model.predict(digit2)
actual_prediction2=np.argmax(predict2, axis=1)
# #Predict third digit in format ##:##
digit3 = time[0:24, 32:40]
write_digit3=cv2.imwrite(path+"/images_written/digit3.jpg",digit3)
read = cv2.imread(path+"/images_written/digit3.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit3 = cv2.imwrite(path+"/images_written/digit3.jpg", resized)
binary_convert(path+"/images_written/digit3.jpg")
center(path+"/images_written/digit3.jpg", "digit3.jpg")
digit3 = cv2.imread(path+"/images_written/digit3.jpg", cv2.IMREAD_GRAYSCALE)
digit3 = cv2.resize(digit3, (28, 28), interpolation=cv2.INTER_LINEAR)
digit3 = digit3.reshape(1, 28, 28, 1)
predict3 = digit_model.predict(digit3)
actual_prediction3=np.argmax(predict3, axis=1)
# #Predict fourth digit in format ##:##
digit4 = time[0:24, 41:50]
write_digit4=cv2.imwrite(path+"/images_written/digit4.jpg",digit4)
read = cv2.imread(path+"/images_written/digit4.jpg",cv2.IMREAD_GRAYSCALE)
resized = cv2.resize(read, (28, 28), interpolation=cv2.INTER_LINEAR)
write_digit4 = cv2.imwrite(path+"/images_written/digit4.jpg", resized)
binary_convert(path+"/images_written/digit4.jpg")
center(path+"/images_written/digit4.jpg", "digit4.jpg")
digit4 = cv2.imread(path+"/images_written/digit4.jpg", cv2.IMREAD_GRAYSCALE)
digit4 = cv2.resize(digit4, (28, 28), interpolation=cv2.INTER_LINEAR)
digit4 = digit4.reshape(1, 28, 28, 1)
predict4 = digit_model.predict(digit4)
actual_prediction4=np.argmax(predict4, axis=1)
t1.join()
t2.join()
t3.join()
t4.join()
time_game=str(actual_prediction1[0])+str(actual_prediction2[0])+":"+str(actual_prediction3[0])+str(actual_prediction4[0])
return {"time":time_game}
return {"game started": False}
def services(data):
c.center(data.getComunalServices())
s.serv(data.getHouseHold(), data.getEntities())
kn.knoweledge(data.getGeneralCitizen())