def checkin_upload2():
"""Attention:
Now stipulate that Only Two Photos will be uploaded
And This api used for the first photo uploaded
:return:
"""
side_rate = 0
result = "This is the Original Value of the result !"
detector_forcheckin = detector
sp_forcheckin = sp
facerec_forcheckin = facerec
dir_path = '/var/www/demoapp/Accounts'
dirpath_forcheckin = "/var/www/demoapp/student_photo"
upload_file = request.files['image01']
if upload_file and allowed_file(upload_file.filename):
filename = secure_filename(upload_file.filename)
upload_file.save(
os.path.join(app.root_path, app.config['UPLOAD_FOLDER'], filename))
name = request.form.get('name', 'little apple')
class_name = request.form.get('class_name', 'little apple')
result, side_rate = faceRecognzedProcess(
detector_forcheckin, sp_forcheckin, facerec_forcheckin, dir_path,
class_name, name, dirpath_forcheckin, upload_file.filename)
os.remove(dirpath_forcheckin + '/' + upload_file.filename)
if result == "Good !":
mark_path = dir_path + '/' + class_name + '/' + name + '/' + "mark1.txt"
if os.path.exists(mark_path) == True:
file_mark = open(mark_path, 'r')
side_rate_1 = file_mark.read()
if abs(float(side_rate_1) - float(side_rate)) == 0:
result = "Same Side Rate !!!"
file_mark.close()
os.remove(mark_path)
return result
else:
return "Fail !"
def u_checkin_upload1(class_name, name, lng, lat):
"""Attention:
Now stipulate that Only Two Photos will be uploaded
And This api used for the first photo uploaded
:return:
"""
file_stream = request.form.get("image01")
base64_data_bytes = file_stream.encode("utf-8")
base64_decode = base64.b64decode(base64_data_bytes)
dirpath = '/var/www/demoapp'
pic_file_type = 'jpeg'
filename = name + "upload1" + '.' + pic_file_type
move_to_path = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG" + '/' + filename
image = io.BytesIO(base64_decode)
img = Image.open(image)
img.save(move_to_path)
IP = request.remote_addr
detector_forcheckin = detector
sp_forcheckin = sp
facerec_forcheckin = facerec
dir_path = '/var/www/demoapp/Accounts'
dirpath_forcheckin = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG"
result, side_rate = faceRecognzedProcess(detector_forcheckin,
sp_forcheckin, facerec_forcheckin,
dir_path, class_name, name,
dirpath_forcheckin, filename,
pic_file_type)
os.remove(dirpath_forcheckin + '/' + filename)
if result == "Good !":
mark_path = dir_path + '/' + class_name + '/' + name + '/' + "mark1.txt"
file_mark = open(mark_path, 'w')
file_mark.write(str(side_rate) + "-" + str(lng) + "-" + str(lat))
file_mark.close()
return result
def u_checkin_upload1(class_name, name):
"""Attention:
Now stipulate that Only Two Photos will be uploaded
And This api used for the first photo uploaded
:return:
"""
side_rate = 0
result = "This is the Original Value of the result !"
detector_forcheckin = detector
sp_forcheckin = sp
facerec_forcheckin = facerec
dir_path = '/var/www/demoapp/Accounts'
dirpath_forcheckin = "/var/www/demoapp/student_photo"
upload_file = request.files['image01']
if upload_file and allowed_file(upload_file.filename):
filename = secure_filename(upload_file.filename)
upload_file.save(
os.path.join(app.root_path, app.config['UPLOAD_FOLDER'], filename))
result, side_rate = faceRecognzedProcess(
detector_forcheckin, sp_forcheckin, facerec_forcheckin, dir_path,
class_name, name, dirpath_forcheckin, upload_file.filename)
os.remove(dirpath_forcheckin + '/' + upload_file.filename)
if result == "Good !":
mark_path = dir_path + '/' + class_name + '/' + name + '/' + "mark1.txt"
file_mark = open(mark_path, 'w')
file_mark.write(str(side_rate))
file_mark.close()
return result
def u_checkin_upload2(class_name, name):
"""Attention:
Now stipulate that Only Two Photos will be uploaded
And This api used for the first photo uploaded
:return:
"""
course_name = request.form.get("course_name")
teacher_name = request.form.get("teacher_name")
file_stream = request.form.get("image01")
base64_data_bytes = file_stream.encode("utf-8")
base64_decode = base64.b64decode(base64_data_bytes)
dirpath = '/var/www/demoapp'
pic_file_type = 'jpeg'
filename = name + "upload2" + '.' + pic_file_type
move_to_path = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG" + '/' + filename
image = io.BytesIO(base64_decode)
img = Image.open(image)
img.save(move_to_path)
detector_forcheckin = detector
sp_forcheckin = sp
facerec_forcheckin = facerec
dir_path = '/var/www/demoapp/Accounts'
dirpath_forcheckin = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG"
result, side_rate = faceRecognzedProcess(detector_forcheckin,
sp_forcheckin, facerec_forcheckin,
dir_path, class_name, name,
dirpath_forcheckin, filename,
pic_file_type)
os.remove(dirpath_forcheckin + '/' + filename)
if result == "Good !":
mark_path = dir_path + '/' + class_name + '/' + name + '/' + "mark1.txt"
if os.path.exists(mark_path):
file_mark = open(mark_path, 'r')
side_rate_1 = file_mark.read()
side_rate_1 = side_rate_1.split("-")
s_lng = float(side_rate_1[1])
s_lat = float(side_rate_1[2])
file_mark.close()
os.remove(mark_path)
operation3 = "arouse"
result_get_lnglat, t_lng, t_lat = get_lng_lat_arouse(
c, teacher_name, course_name, operation3, conn)
distance = math.sqrt((t_lng - s_lng) * (t_lng - s_lng) +
(t_lat - s_lat) * (t_lat - s_lat))
if abs(float(side_rate_1[0]) - float(side_rate)) == 0:
result = "Same Side Rate !!!"
return result + str(distance)
operation2 = "checked"
insert_student(c, name, course_name, teacher_name, operation2,
conn)
return result + str(distance)
else:
return "Fail"
def u_checkin_upload2_alive_detect(class_name, name):
"""Attention:
Now stipulate that Only Two Photos will be uploaded
And This api used for the first photo uploaded
:return:
"""
course_name = request.form.get("course_name")
teacher_name = request.form.get("teacher_name")
file_stream = request.form.get("image01")
base64_data_bytes = file_stream.encode("utf-8")
base64_decode = base64.b64decode(base64_data_bytes)
dirpath = '/var/www/demoapp'
pic_file_type = 'jpeg'
filename = name + "upload2" + '.' + pic_file_type
move_to_path = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG" + '/' + filename
image = io.BytesIO(base64_decode)
img = Image.open(image)
img.save(move_to_path)
detector_forcheckin = detector
sp_forcheckin = sp
facerec_forcheckin = facerec
dir_path = '/var/www/demoapp/Accounts'
dirpath_forcheckin = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG"
result, side_rate = faceRecognzedProcess(detector_forcheckin,
sp_forcheckin, facerec_forcheckin,
dir_path, class_name, name,
dirpath_forcheckin, filename,
pic_file_type)
os.remove(dirpath_forcheckin + '/' + filename)
face_check_left_x_now = side_rate["lip_left_xy"][0]
# face_check_left_y_now = side_rate["lip_left_xy"][1]
face_check_right_x_now = side_rate["lip_right_xy"][0]
# face_check_right_y_now = side_rate["lip_right_xy"][1]
if result == "Good !":
mark_path = dir_path + '/' + class_name + '/' + name + '/' + "mark1.txt"
if os.path.exists(mark_path):
file_mark = open(mark_path, 'r')
side_rate_1 = file_mark.read()
side_rate_1 = side_rate_1.split("-")
s_lng = float(side_rate_1[1])
s_lat = float(side_rate_1[2])
# 这个码，代表着，选用某种模式，比如，1，代表，微笑，识别
face_check_mode = int(side_rate_1[0])
# 注意，联，FaceRecognzedProcess.py line 85-107
face_check_left_x_history = int(side_rate_1[3])
# face_check_left_y_history = int(side_rate_1[4])
face_check_right_x_history = int(side_rate_1[5])
# face_check_right_y_history = int(side_rate_1[6])
judge_result = False
if face_check_mode == 1:
key_points_distance_history = face_check_right_x_history - face_check_left_x_history
key_points_distance_now = face_check_right_x_now - face_check_left_x_now
if key_points_distance_now > key_points_distance_history:
judge_result = True
file_mark.close()
os.remove(mark_path)
operation3 = "arouse"
result_get_lnglat, t_lng, t_lat = get_lng_lat_arouse(
c, teacher_name, course_name, operation3, conn)
distance = math.sqrt((t_lng - s_lng) * (t_lng - s_lng) +
(t_lat - s_lat) * (t_lat - s_lat))
if abs(float(side_rate_1[0]) - float(side_rate)) == 0:
result = "Same_Side_Rate_"
return result + str(distance)
if not judge_result:
return "Face_Fail_" + str(distance)
operation2 = "checked"
insert_student(c, name, course_name, teacher_name, operation2,
conn)
return "Good_" + str(distance)
else:
return "Face_Fail"
def u_checkin_upload1(class_name, name, lng1, lat1):
"""Attention:
Now stipulate that Only Two Photos will be uploaded
And This api used for the first photo uploaded
:return:
"""
course_name = request.form.get("course_name")
teacher_name = request.form.get("teacher_name")
operation3 = "arouse"
result_get_lnglat, t_lng, t_lat = get_lng_lat_arouse(
c, teacher_name, course_name, operation3, conn)
if not result_get_lnglat:
return "No Arousing Yet ! "
file_stream = request.form.get("image01")
base64_data_bytes = file_stream.encode("utf-8")
base64_decode = base64.b64decode(base64_data_bytes)
dirpath = '/var/www/demoapp'
pic_file_type = 'jpeg'
filename = name + "upload1" + '.' + pic_file_type
move_to_path = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG" + '/' + filename
image = io.BytesIO(base64_decode)
img = Image.open(image)
img.save(move_to_path)
# Get the client's IP
# IP = request.remote_addr
detector_forcheckin = detector
sp_forcheckin = sp
facerec_forcheckin = facerec
dir_path = '/var/www/demoapp/Accounts'
dirpath_forcheckin = dirpath + "/Accounts/" + class_name + '/' + name + '/' + "OriJPG"
result, side_rate = faceRecognzedProcess(detector_forcheckin,
sp_forcheckin, facerec_forcheckin,
dir_path, class_name, name,
dirpath_forcheckin, filename,
pic_file_type)
os.remove(dirpath_forcheckin + '/' + filename)
if result == "Good !":
mark_path = dir_path + '/' + class_name + '/' + name + '/' + "mark1.txt"
file_mark = open(mark_path, 'w')
# 注意，1，代表，嘴唇判别，模式
file_mark.write(
str("1") + "-" + str(lng1) + "-" + str(lat1) + "-" +
str(side_rate["lip_left_xy"][0]) + "-" +
str(side_rate["lip_left_xy"][1]) + "-" +
str(side_rate["lip_right_xy"][0]) + "-" +
str(side_rate["lip_right_xy"][1]))
file_mark.close()
# 注意，之后，这里会，设置，随机函数，同时，check_face_motion 的，数字类型，会更加丰富
# “1”，指，微笑
check_face_motion = "1"
return check_face_motion
else:
return "Fail"
