-
Notifications
You must be signed in to change notification settings - Fork 0
/
camera.py
48 lines (35 loc) · 1.3 KB
/
camera.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
from core.definicoes import *
from core.preparaImagem import *
import cv2
import face_recognition
camera = cv2.VideoCapture(0) # Inicializa câmera
faces = [] # Irá guardar a posição das faces na imagem
# Looping para ficar capturando
while True:
ret, frame = camera.read()
redimensiona = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25) # tira 1/4
rgbFrame = redimensiona[:, :, ::-1]
faces = face_recognition.face_locations(rgbFrame)
for (top, right, bottom, left) in faces:
top *= 4
right *= 4
bottom *= 4
left *= 4
# Posicao da imagem
x = left
y = top
xy = right
yx = bottom
face = frame[y:yx, x:xy]
face = cv2.resize(face, (48, 48), interpolation = cv2.INTER_AREA)
ePosicao = processaImagem(face)
# Desenha retângulo
cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 1)
# Draw a label with a name below the face
cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), cv2.FILLED)
cv2.putText(frame, str(emocao[ePosicao]), (left + 6, bottom - 6), cv2.FONT_HERSHEY_DUPLEX, 1.0, (255, 255, 255), 1)
cv2.imshow('Video', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
camera.release()
cv2.destroyAllWindows()