/
main.py
71 lines (57 loc) · 2.34 KB
/
main.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
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
import cv2,sys, os, time
import numpy as np
from matplotlib import pyplot as plt
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
body_cascade = cv2.CascadeClassifier('haarcascade_fullbody.xml')
uBody_cascade = cv2.CascadeClassifier('haarcascade_upperbody.xml')
#bike_cascade = cv2.CascadeClassifier('bicycle.xml')
body_colors = []
face_colors = []
face_count = 0
avg_body = np.zeros((300, 300, 3), np.uint8)
avg_face = np.zeros((300, 300, 3), np.uint8)
cap = cv2.VideoCapture(0)
try:
while(True):
ret, frame = cap.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
bodies = body_cascade.detectMultiScale(gray, 1.3, 5)
uBodies = uBody_cascade.detectMultiScale(gray, 1.3, 5)
#bikes = bike_cascade.detectMultiScale(gray, 1.3, 5)
for i,(x,y,w,h) in enumerate(faces):
cv2.rectangle(frame, (x,y), (x+w, y+h), (255,0,0), 2) #BGR
face = frame[y:y+h, x:x+w]
face_avg_color_per_row = np.average(face, axis=0)
face_avg_color = np.average(face_avg_color_per_row, axis=0)
face_colors.append(face_avg_color)
#roi_gray = gray[y:y+h, x:x+w] #region of image
#roi_color = frame[y:y+h, x:x+w]
#eyes = ...(roi_gray)
face_count += 1
cv2.imwrite(os.path.join('faces','face{}.jpg').format(face_count),face)
for (x,y,w,h) in uBodies:
padded_h = int(0.75 * h)
cv2.rectangle(frame, (x,y), (x+w, y+h), (0,0,255), 2)
body = frame[y:(y+padded_h), x:x+w]
body_avg_color_per_row = np.average(body, axis=0)
body_avg_color = np.average(body_avg_color_per_row, axis=0)
body_colors.append(body_avg_color)
#for (x,y,w,h) in bikes:
# cv2.rectangle(frame, (x,y), (x+w, y+h), (0,255,0), 2)
cv2.imshow('frame',frame)
avg_body[:] = np.average(body_colors,axis=0)
avg_face[:] = np.average(face_colors,axis=0)
cv2.imwrite('avg_body.jpg',avg_body)
cv2.imwrite('avg_face.jpg',avg_face)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
except KeyboardInterrupt:
try:
sys.exit(0)
except SystemExit:
os._exit(0)
cap.release()
cv2.destroyAllWindows()
cap.release()
cv2.destroyAllWindows()