def face_match():
if request.method == 'POST':
img1 = request.values.get("img1")
img2 = request.values.get("img2")
if img1 and img2 and allowed_file(img1) and allowed_file(img2):
file_path1 = os.path.join(os.getcwd(), img1)
file_path2 = os.path.join(os.getcwd(), img2)
return detect_faces_in_image(file_path1, file_path2,
request.values.get("tolerance"))
return '''
def pp_mrz():
if request.method == 'POST':
img1 = request.values.get("img1")
if img1 and allowed_file(img1):
file_path1 = os.path.join(os.getcwd(), img1)
return pp_mrz_(file_path1)
return '''
def face_locat():
if request.method == 'POST':
img1 = request.values.get("img1")
#print img1
if img1 and allowed_file(img1):
file_path = os.path.join(os.getcwd(), img1)
result = face_recognition.face_locations(
face_recognition.load_image_file(file_path))
#print(jsonify(result))
return jsonify(result)
return '''
def face_upload():
if request.method == 'POST':
if 'img1' not in request.files:
return redirect(request.url)
img1 = request.files['img1']
if img1.filename == '':
return redirect(request.url)
if img1 and allowed_file(img1.filename):
dt = datetime.now() #创建一个datetime类对象
dt.strftime('%Y-%m-%d %H:%M:%S %f')
path = os.path.join('upload', dt.strftime('%Y%m'))
if not os.path.exists(os.path.join(os.getcwd(), path)):
os.makedirs(path)
filename = dt.strftime('%Y%m%d%H%M%S%f_.') + file_ext(
img1.filename)
file_path = os.path.join(os.getcwd(), path, filename)
img1.save(file_path)
result = {'filePath': os.path.join(path, filename)}
return jsonify(result)
return '''
def face_landmarks_alive():
if request.method == 'POST':
img1 = request.values.get("img1")
if img1 and allowed_file(img1):
result = {
#landmarks : {},
'openMouth': False,
'closeEyes': False,
'lookLeft': False,
'lookRight': False
}
file_path = os.path.join(os.getcwd(), img1)
landmarks = face_recognition.face_landmarks(
face_recognition.load_image_file(file_path))
#print(jsonify(landmarks))
if len(landmarks) > 0:
result['landmarks'] = landmarks[0]
#取到边框
min_x = min_y = 10000
max_x = max_y = 0
for k in landmarks[0]:
for p in landmarks[0][k]:
min_x = min(min_x, p[0])
min_y = min(min_y, p[1])
max_x = max(max_x, p[0])
max_y = max(max_y, p[1])
#判断张嘴
lip_top = landmarks[0]["top_lip"][9]
lip_bottom = landmarks[0]["bottom_lip"][9]
lip = abs((lip_top[1] - lip_bottom[1]) * 1.0 / (max_y - min_y))
lip_n = 0.06
if request.values.get("openMouth"):
lip_n = float(request.values.get("openMouth"))
if lip > lip_n:
result['openMouth'] = True
#print lip_top
#print lip_bottom
#print max_y
#print min_y
#print lip
#print('lip=%.f' %(lip))
#闭眼判断
eye_right_top = landmarks[0]["left_eye"][1]
eye_right_bottom = landmarks[0]["left_eye"][5]
eye_left_top = landmarks[0]["right_eye"][1]
eye_left_bottom = landmarks[0]["right_eye"][5]
eye_right = abs((eye_right_top[1] - eye_right_bottom[1]) *
1.0 / (max_y - min_y))
eye_left = abs((eye_left_top[1] - eye_left_bottom[1]) * 1.0 /
(max_y - min_y))
eye_n = 0.04
if request.values.get("closeEyes"):
eye_n = float(request.values.get("closeEyes"))
if eye_right < eye_n and eye_left < eye_n:
result['closeEyes'] = True
#print eye_right
#print eye_left
#左看右看
right = landmarks[0]["chin"][0]
left = landmarks[0]["chin"][16]
le = abs((left[0] - eye_left_top[0]) * 1.0 / (max_x - min_x))
ri = abs((right[0] - eye_right_top[0]) * 1.0 / (max_x - min_x))
look_n = 0.2
if request.values.get("lookLeftRight"):
look_n = float(request.values.get("lookLeftRight"))
if le < look_n:
result['lookLeft'] = True
if ri < look_n:
result['lookRight'] = True
#print le
#print ri
return jsonify(result)
return '''