def muti_attr(image):
out = benchi_detect(image)
label_dict = {}
lis = []
for i in range(len(out)):
#根据置信度限定不符合要求的attr。
#========my_setting==============
if out[i, 2] > 0.5:
label = int(out[i,1])
lis.append(label)
myset = sorted(set(lis))
for key in myset:
if key == 1:
label_dict["hat"] = "Yes"
elif key == 2:
label_dict["hat"] = "No"
elif key == 3:
label_dict["coat"] = "Yes"
elif key == 4:
label_dict["coat"] = "No"
elif key == 5:
label_dict["gloves"] = "Yes"
elif key == 6:
label_dict["gloves"] = "No"
elif key == 7:
label_dict["shoes"] = "Yes"
elif key == 8:
label_dict["shoes"] = "No"
return label_dict
def muti_attr(image):
out = benchi_detect(image)
label_dict = {}
lis = []
face_location = []
label_dict["face"] = "Unknown"
for i in range(len(out)):
#根据置信度限定不符合要求的attr。
#========my_setting==============
control = True #only once face detection.
if out[i, 2] > 0.5:
label = int(out[i, 1])
lis.append(label)
if label == 2 and control:
# print("-------------->", out[i])
clip_face_img = face_img(image, out[i])
#保存人脸
# save_file = "face_dlib/face_image"
# cv2.imwrite(save_file+"/_{}.jpg".format(int(time.time())), clip_face_img)
face_result = once_detect(clip_face_img)
if face_result:
label_dict["face"] = face_result[0]
control = False
myset = sorted(set(lis))
for key in myset:
if key == 1:
label_dict["hat"] = 1
elif key == 2:
label_dict["hat"] = 0
elif key == 3:
label_dict["coat"] = 1
elif key == 4:
label_dict["coat"] = 0
elif key == 5:
label_dict["gloves"] = 1
elif key == 6:
label_dict["gloves"] = 0
elif key == 7:
label_dict["shoes"] = 0
elif key == 8:
label_dict["shoes"] = 0
return label_dict