def detect(filename=None, folder=None, num_of_people=people, num_of_pics=pic_per_person):
imgs = getImages(filename, folder, num_of_people, num_of_pics)
# print(imgs)
totalPhotos=len(imgs)
photosWithNoFaces = []
photosWithMoreThanOneFace = []
photosWithMoreThan2Eyes = []
index=1
for photo in imgs:
if index % 50 == 0:
print(index)
index +=1
img = cv2.imread(photo.path)
if resize:
res = uti.resize_img(img, 500)
else:
res = img
gray = cv2.cvtColor(res, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scale_factor, num_neighbors)
'''
faces = face_cascade.detectMultiScale(gray, 1.9, 3)
Total Photos 13233
Photos with no faces: 3333
Photos with more than one face : 341
----- 54.146432399749756 seconds ----
*************************************************************
faces = face_cascade.detectMultiScale(gray, 1.5, 3)
Total Photos 13233
Photos with no faces: 918
Photos with more than one face : 5658
----- 91.67998313903809 seconds ----
*************************************************************
faces = face_cascade.detectMultiScale(gray, 1.3, 3)
Total Photos 13233
Photos with no faces: 418
Photos with more than one face : 356
----- 128.8101842403412 seconds ----
*************************************************************
faces = face_cascade.detectMultiScale(gray, 1.1, 3)
Total Photos 13233
Photos with no faces: 68
Photos with more than one face : 841
----- 257.9152545928955 seconds ----
*************************************************************
faces = face_cascade.detectMultiScale(gray, 1.1, 5)
Total Photos 13233
Photos with no faces: 124
Photos with more than one face : 558
----- 257.44470167160034 seconds ----
'''
# print(faces)
if(len(faces) ==0):
photosWithNoFaces += [photo]
elif(len(faces)>1):
photosWithMoreThanOneFace += [photo]
# print(photo.photo_name)
if print_photos:
for(x,y,w,h) in faces:
#Paint face
cv2.rectangle(res, (x,y), (x+w, y+h), (255,0,0),2)
#Get all facial data
roi_gray = gray[y:y+h, x:x+w]
roi_color = res[y:y+h, x:x+w]
left_eyes = left_eye_cascade.detectMultiScale(roi_gray)
right_eyes = right_eye_cascade.detectMultiScale(roi_gray)
eyes = eye_cascade.detectMultiScale(roi_gray)
smiles = smile_cascade.detectMultiScale(roi_gray)
bodies = fullbody_cascade.detectMultiScale(roi_gray)
#Paint both eyes
for(ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0,255,255),2)
#Paint left eyes
# for(ex, ey, ew, eh) in left_eyes:
# cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0,255,0),2)
#Paint right eyes
# for(ex, ey, ew, eh) in right_eyes:
# cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0,0,255),2)
#Paint Mouths
# for(ex, ey, ew, eh) in smiles:
# cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (255,127,200),2)
print("Eyes : {0}".format(len(eyes)))
print("Left eyes : {0}".format(len(left_eyes)))
print("Right eyes : {0}".format(len(right_eyes)))
# print("finished")
cv2.imshow(photo.photo_name, res)
cv2.waitKey(0)
cv2.destroyAllWindows()
# print(type(["hola"]), type("hola"))
if write_log:
uti.write_file("photos_with_no_faces.txt", photosWithNoFaces)
print("Total Photos " + str(totalPhotos))
print("Photos with no faces: {0}".format((len(photosWithNoFaces))))
print("Photos with more than one face : {0}".format(len(photosWithMoreThanOneFace)))
total_time = time.time() - start_time
print("----- %s seconds ----" %total_time)
def detect(filename=None, folder=None, num_of_people=people, num_of_pics=pic_per_person):
# path = FACE_LIBRARY + 'IMG_20160619_152455(dif).jpg'
path = FACE_LIBRARY + 'beard.jpg'
img = cv2.imread(path)
face_array = []
# print(imgs)
index=1
if resize:
res = uti.resize_img(img, 600)
else:
res = img
gray = cv2.cvtColor(res, cv2.COLOR_BGR2GRAY)
print(len(gray), len(gray[0]))
equalizedImg = cv2.equalizeHist(gray)
print('img shape {}'.format(img.shape))
print('gray shape {}'.format(gray.shape))
print('equa shape {}'.format(equalizedImg.shape))
#Test
out = det.detectObjectsCustom(img, face_cascade, 600, None, (20, 20), scale_factor, num_neighbors, True, 'Face')
#End Test
faces = face_cascade.detectMultiScale(equalizedImg, scale_factor, num_neighbors, cv2.CASCADE_FIND_BIGGEST_OBJECT)
print('faces\n')
print(faces)
if print_photos:
for i in range(len(out)):
print(i)
#Paint face
(x,y,w,h) = (out[i][0], out[i][1], out[i][2], out[i][3])
# face = (x,y,w,h)
cv2.rectangle(img, (x,y), (x+w, y+h), (255,0,0),2)
#Get all facial data
roi_gray = gray[y:y+h, x:x+w]
roi_color = res[y:y+h, x:x+w]
face_array += [roi_color]
left_eyes = left_eye_cascade.detectMultiScale(roi_gray)
right_eyes = right_eye_cascade.detectMultiScale(roi_gray)
eyes = eye_cascade.detectMultiScale(roi_gray)
# smiles = smile_cascade.detectMultiScale(roi_gray)
# bodies = fullbody_cascade.detectMultiScale(roi_gray)
#Paint both eyes
if draw_eyes == 1 :
for(ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (255,255,255),2)
#Paint left eyes
elif draw_eyes == 1:
for(ex, ey, ew, eh) in left_eyes:
cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (255,255,255),2)
#Paint right eyes
elif draw_eyes == 1:
for(ex, ey, ew, eh) in right_eyes:
cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (255,255,255),2)
print("Eyes : {0}".format(len(eyes)))
print("Left eyes : {0}".format(len(left_eyes)))
print("Right eyes : {0}".format(len(right_eyes)))
# print("finished")
total_time = time.time() - start_time
print("----- %s seconds ----" %total_time)
cv2.imshow('Photo', res)
print('face fotos ' + str(len(face_array)))
# for n, photo in enumerate(face_array):
# print()
# cv2.imshow('photo' + str(n), photo)
cv2.waitKey(0)
cv2.destroyAllWindows()
