├── .github
    └── FUNDING.yml
├── .gitignore
├── .travis.yml
├── AI
    ├── __init__.py
    ├── settings.py
    ├── static
    │   ├── css
    │   │   └── style.css
    │   ├── favicon.ico
    │   ├── images
    │   │   ├── bg.png
    │   │   ├── bg1.png
    │   │   ├── error-img.png
    │   │   ├── error-page.png
    │   │   ├── g.png
    │   │   ├── gzr-youlang.png
    │   │   ├── logo0.png
    │   │   ├── mountain.jpg
    │   │   ├── r.png
    │   │   ├── slide1.gif
    │   │   ├── slide2.png
    │   │   └── slide3.png
    │   └── sign.svg
    ├── urls.py
    ├── views.py
    └── wsgi.py
├── LICENSE.md
├── README.md
├── account
    ├── __init__.py
    ├── admin.py
    ├── apps.py
    ├── migrations
    │   └── __init__.py
    ├── models.py
    ├── templates
    │   ├── login.html
    │   └── signup.html
    ├── tests.py
    ├── urls.py
    └── views.py
├── apps
    ├── __init__.py
    ├── bank_card
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │   │   └── __init__.py
    │   ├── models.py
    │   ├── templates
    │   │   └── bank-card.html
    │   ├── tests.py
    │   └── views.py
    ├── detect_object
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │   │   └── __init__.py
    │   ├── models.py
    │   ├── templates
    │   │   └── detect_object.html
    │   ├── tests.py
    │   └── views.py
    ├── face_comparison
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │   │   └── __init__.py
    │   ├── models.py
    │   ├── templates
    │   │   └── face-comparison.html
    │   ├── tests.py
    │   └── views.py
    ├── gesture
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │   │   └── __init__.py
    │   ├── models.py
    │   ├── templates
    │   │   └── gesture.html
    │   ├── tests.py
    │   └── views.py
    ├── identification
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │   │   └── __init__.py
    │   ├── models.py
    │   ├── templates
    │   │   ├── predict.html
    │   │   ├── predict_DenseNet121.html
    │   │   ├── predict_DenseNet169.html
    │   │   ├── predict_DenseNet201.html
    │   │   ├── predict_InceptionResNetV2.html
    │   │   ├── predict_InceptionV3.html
    │   │   ├── predict_MobileNet.html
    │   │   ├── predict_MobileNetV2.html
    │   │   ├── predict_NASNetLarge.html
    │   │   ├── predict_NASNetMobile.html
    │   │   ├── predict_VGG16.html
    │   │   ├── predict_VGG19.html
    │   │   └── predict_Xception.html
    │   ├── tests.py
    │   ├── urls.py
    │   └── views.py
    ├── qrcreate
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │   │   └── __init__.py
    │   ├── models.py
    │   ├── tests.py
    │   └── views.py
    └── tenc_ai
    │   ├── __init__.py
    │   ├── admin.py
    │   ├── apps.py
    │   ├── migrations
    │       └── __init__.py
    │   ├── models.py
    │   ├── templates
    │       └── tenc_ai.html
    │   ├── tests.py
    │   └── views.py
├── db.sqlite3
├── dockerfile
├── functional_tests
    ├── __init__.py
    ├── images
    │   ├── Gesture7.jpg
    │   ├── campare1.jpg
    │   ├── campare2.jpg
    │   ├── card3.png
    │   ├── fox.jpg
    │   └── panda0.jpg
    └── tests.py
├── gallery
    ├── __init__.py
    ├── admin.py
    ├── apps.py
    ├── migrations
    │   ├── 0001_initial.py
    │   ├── 0002_auto_20180729_1553.py
    │   ├── 0003_auto_20180729_1629.py
    │   ├── 0004_auto_20180729_1659.py
    │   ├── 0005_auto_20180910_2056.py
    │   └── __init__.py
    ├── models.py
    ├── tests.py
    └── views.py
├── manage.py
├── media
    ├── default.jpg
    ├── favicon.ico
    ├── image
    │   ├── 1.jpg
    │   ├── 1_CzPAyBA.jpg
    │   ├── 1_ZJRgpnf.jpg
    │   ├── 222.png
    │   ├── 4.gif
    │   ├── timg.jpg
    │   └── 锐龙.jpg
    └── images
    │   ├── 3.jpg
    │   ├── intel.jpg
    │   ├── movidius.jpg
    │   ├── msi.jpg
    │   ├── nvida01.jpg
    │   ├── nvida06.jpg
    │   ├── nvidia02.jpg
    │   ├── nvidia02_aXm9Afj.jpg
    │   ├── nvidia05.jpg
    │   ├── raspberrypi.png
    │   ├── rog1.jpg
    │   └── ryzen.jpg
├── myauth
    ├── __init__.py
    ├── admin.py
    ├── apps.py
    ├── migrations
    │   └── __init__.py
    ├── models.py
    ├── templates
    │   ├── login.html
    │   └── signup.html
    ├── tests.py
    ├── urls.py
    └── views.py
├── pip.conf
├── requirements.txt
├── run_tests.sh
└── templates
    ├── account
        ├── login.html
        ├── signup.html
        └── snippets
        │   ├── already_logged_in.html
        │   └── bs4_form.html
    ├── base_api.html
    ├── base_predict.html
    ├── home.html
    └── theme.html


/.github/FUNDING.yml:
--------------------------------------------------------------------------------
1 | custom: ['https://nature1995.club/']
2 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
 1 | 
 2 | # Created by https://www.gitignore.io/api/django,pycharm
 3 | 
 4 | ### Django ###
 5 | *.log
 6 | *.pot
 7 | *.pyc
 8 | __pycache__/
 9 | local_settings.py
10 | 
11 | 
12 | # If your build process includes running collectstatic, then you probably don't need or want to include staticfiles/
13 | # in your Git repository. Update and uncomment the following line accordingly.
14 | # <django-project-name>/staticfiles/
15 | 
16 | ### PyCharm ###
17 | # Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio and WebStorm
18 | # Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
19 | 
20 | # User-specific stuff
21 | .idea/**/workspace.xml
22 | .idea/**/tasks.xml
23 | .idea/**/usage.statistics.xml
24 | .idea/**/dictionaries
25 | .idea/**/shelf
26 | 
27 | # Generated files
28 | .idea/**/contentModel.xml
29 | 
30 | # Sensitive or high-churn files
31 | .idea/**/dataSources/
32 | .idea/**/dataSources.ids
33 | .idea/**/dataSources.local.xml
34 | .idea/**/sqlDataSources.xml
35 | .idea/**/dynamic.xml
36 | .idea/**/uiDesigner.xml
37 | .idea/**/dbnavigator.xml
38 | 
39 | # Gradle
40 | .idea/**/gradle.xml
41 | .idea/**/libraries
42 | 
43 | # Gradle and Maven with auto-import
44 | # When using Gradle or Maven with auto-import, you should exclude module files,
45 | # since they will be recreated, and may cause churn.  Uncomment if using
46 | # auto-import.
47 | # .idea/modules.xml
48 | # .idea/*.iml
49 | # .idea/modules
50 | 
51 | # CMake
52 | cmake-build-*/
53 | 
54 | # Mongo Explorer plugin
55 | .idea/**/mongoSettings.xml
56 | 
57 | # File-based project format
58 | *.iws
59 | 
60 | # IntelliJ
61 | out/
62 | 
63 | # mpeltonen/sbt-idea plugin
64 | .idea_modules/
65 | 
66 | # JIRA plugin
67 | atlassian-ide-plugin.xml
68 | 
69 | # Cursive Clojure plugin
70 | .idea/replstate.xml
71 | 
72 | # Crashlytics plugin (for Android Studio and IntelliJ)
73 | com_crashlytics_export_strings.xml
74 | crashlytics.properties
75 | crashlytics-build.properties
76 | fabric.properties
77 | 
78 | # Editor-based Rest Client
79 | .idea/httpRequests
80 | 
81 | ### PyCharm Patch ###
82 | # Comment Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-215987721
83 | 
84 | # *.iml
85 | # modules.xml
86 | # .idea/misc.xml
87 | # *.ipr
88 | 
89 | # Sonarlint plugin
90 | .idea/sonarlint
91 | 
92 | 
93 | # End of https://www.gitignore.io/api/django,pycharm
94 | \.idea/
95 | 
96 | \.DS_Store
97 | 


--------------------------------------------------------------------------------
/.travis.yml:
--------------------------------------------------------------------------------
 1 | sudo: enabled
 2 | language: python
 3 | python:
 4 |     - "3.5"
 5 |     - "3.6"
 6 |     - "3.6-dev"  # 3.6 development branch
 7 |     - "3.7"
 8 | env:
 9 |     global:
10 |      - TRAVIS=true
11 | # command to install dependencies
12 | before_script:
13 |   - python manage.py makemigrations
14 |   - python manage.py migrate
15 |   - python manage.py collectstatic --noinput
16 | install:
17 |     - pip install -r requirements.txt
18 | 
19 | script:
20 |     - python manage.py test apps
21 | 


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/AI/__init__.py:
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/AI/settings.py:
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  1 | """
  2 | Django settings for AI project.
  3 | 
  4 | Generated by 'django-admin startproject' using Django 2.1.5.
  5 | 
  6 | For more information on this file, see
  7 | https://docs.djangoproject.com/en/2.0/topics/settings/
  8 | 
  9 | For the full list of settings and their values, see
 10 | https://docs.djangoproject.com/en/2.0/ref/settings/
 11 | """
 12 | 
 13 | import os
 14 | from django.core.mail import send_mail
 15 | 
 16 | # Build paths inside the project like this: os.path.join(BASE_DIR, ...)
 17 | BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
 18 | 
 19 | 
 20 | # Quick-start development settings - unsuitable for production
 21 | # See https://docs.djangoproject.com/en/2.0/howto/deployment/checklist/
 22 | 
 23 | # SECURITY WARNING: keep the secret key used in production secret!
 24 | SECRET_KEY = '^+k&w#tjwa+0dhg5i+krp6b8+$6(0sk_6e4@upk#2jk730x28a'
 25 | 
 26 | # SECURITY WARNING: don't run with debug turned on in production!
 27 | DEBUG = True
 28 | 
 29 | ALLOWED_HOSTS = ['*']
 30 | 
 31 | # Application definition
 32 | # 基本设定
 33 | ACCOUNT_AUTHENTICATION_METHOD = 'username_email'
 34 | ACCOUNT_EMAIL_REQUIRED = True
 35 | LOGIN_REDIRECT_URL = '/accounts/profile/'
 36 | 
 37 | AUTHENTICATION_BACKENDS = (
 38 |     'django.contrib.auth.backends.ModelBackend',
 39 |     'allauth.account.auth_backends.AuthenticationBackend',
 40 | )
 41 | 
 42 | # Email setup
 43 | # EMAIL_BACKEND ='django.core.mail.backends.console.EmailBackend' # Console output
 44 | EMAIL_BACKEND = 'django.core.mail.backends.smtp.EmailBackend'
 45 | EMAIL_HOST = 'smtp.exmail.qq.com'
 46 | EMAIL_PORT = 465
 47 | EMAIL_HOST_USER = 'weather@ranxiaolang.com'
 48 | EMAIL_HOST_PASSWORD = 'S8XHdVFMdVZsnigx'
 49 | EMAIL_USE_SSL = True
 50 | DEFAULT_FROM_EMAIL = EMAIL_HOST_USER
 51 | 
 52 | 
 53 | INSTALLED_APPS = [
 54 |     'django.contrib.admin',
 55 |     'django.contrib.auth',
 56 |     'django.contrib.sites',
 57 |     'django.contrib.contenttypes',
 58 |     'django.contrib.sessions',
 59 |     'django.contrib.messages',
 60 |     'django.contrib.staticfiles',
 61 |     'gallery.apps.GalleryConfig',
 62 |     'allauth',
 63 |     'allauth.account',
 64 |     'allauth.socialaccount',
 65 |     'allauth.socialaccount.providers.github',
 66 |     'rest_framework',
 67 |     'myauth',
 68 |     'widget_tweaks',
 69 |     'apps.qrcreate',
 70 |     'apps.face_comparison',
 71 |     'apps.bank_card',
 72 |     'apps.detect_object',
 73 |     'apps.gesture',
 74 |     'apps.identification',
 75 |     'apps.tenc_ai',
 76 |     # 'account',
 77 | ]
 78 | 
 79 | SITE_ID = 1
 80 | LOGIN_REDIRECT_URL = '/'
 81 | 
 82 | MIDDLEWARE = [
 83 |     'django.middleware.security.SecurityMiddleware',
 84 |     'django.contrib.sessions.middleware.SessionMiddleware',
 85 |     'django.middleware.common.CommonMiddleware',
 86 |     'django.middleware.csrf.CsrfViewMiddleware',
 87 |     'django.contrib.auth.middleware.AuthenticationMiddleware',
 88 |     'django.contrib.messages.middleware.MessageMiddleware',
 89 |     'django.middleware.clickjacking.XFrameOptionsMiddleware',
 90 | ]
 91 | 
 92 | ROOT_URLCONF = 'AI.urls'
 93 | 
 94 | TEMPLATES = [
 95 |     {
 96 |         'BACKEND': 'django.template.backends.django.DjangoTemplates',
 97 |         # 'DIRS': ['AI/templates'],
 98 |         'DIRS': [os.path.join(BASE_DIR, 'templates')],
 99 |         'APP_DIRS': True,
100 |         'OPTIONS': {
101 |             'context_processors': [
102 |                 'django.template.context_processors.debug',
103 |                 'django.template.context_processors.request',
104 |                 'django.contrib.auth.context_processors.auth',
105 |                 'django.contrib.messages.context_processors.messages',
106 | 
107 | 
108 |             ],
109 |         },
110 |     },
111 | ]
112 | 
113 | WSGI_APPLICATION = 'AI.wsgi.application'
114 | 
115 | 
116 | # Database
117 | # https://docs.djangoproject.com/en/2.0/ref/settings/#databases
118 | 
119 | DATABASES = {
120 |     'default': {
121 |         'ENGINE': 'django.db.backends.sqlite3',
122 |         'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
123 |     }
124 | }
125 | 
126 | 
127 | # Password validation
128 | # https://docs.djangoproject.com/en/2.0/ref/settings/#auth-password-validators
129 | 
130 | AUTH_PASSWORD_VALIDATORS = [
131 |     {
132 |         'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
133 |     },
134 |     {
135 |         'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
136 |     },
137 |     {
138 |         'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
139 |     },
140 |     {
141 |         'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
142 |     },
143 | ]
144 | 
145 | 
146 | # Internationalization
147 | # https://docs.djangoproject.com/en/2.0/topics/i18n/
148 | 
149 | LANGUAGE_CODE = 'en-us'
150 | 
151 | TIME_ZONE = 'Asia/Shanghai'
152 | 
153 | USE_I18N = True
154 | 
155 | USE_L10N = True
156 | 
157 | USE_TZ = True
158 | 
159 | 
160 | # Static files (CSS, JavaScript, Images)
161 | # https://docs.djangoproject.com/en/2.0/howto/static-files/
162 | STATICFILES_DIRS = [
163 |     os.path.join(BASE_DIR, 'AI/static/'),
164 | ]
165 | 
166 | STATIC_URL = '/static/'
167 | 
168 | STATIC_ROOT = os.path.join(BASE_DIR, 'static')
169 | 
170 | MEDIA_URL = '/media/'
171 | 
172 | MEDIA_ROOT = os.path.join(BASE_DIR, 'media')
173 | 
174 | # Face++ config
175 | API_KEY = '03dJozofk0Snpf5tv4J-Zt2-QWvghiYr'
176 | API_SECRET = 'ySrosLfI4QPBXHcMoFkWzyBAs5gkdXGf'
177 | 
178 | SITE_MODEL = None
179 | SITE_GRAPH = []
180 | 


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/AI/static/css/style.css:
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  1 | body{
  2 | 	font-family:Arial;
  3 | }
  4 | #header{
  5 | 	margin:0 auto;
  6 | 	width:100%;
  7 | 	text-align:center;
  8 | }
  9 | 
 10 | #header h1{	
 11 | 	font-size:40px;
 12 | 	font-weight:bold;
 13 | 
 14 | 	left: 0px;
 15 | 	top: 0px;
 16 | }
 17 | 
 18 | #newGameBtn{
 19 | 	margin:20px auto;
 20 | 	
 21 | 	width:100px;
 22 | 	padding:10px 10px;
 23 | 	
 24 | 	background-color:#8f7a66;
 25 | 	color:#fff;
 26 | 	border-radius:10px;
 27 | 	text-decoration:none;
 28 | }
 29 | 
 30 | #newGameBtn:hover{
 31 | 	background-color:#9f8b77;
 32 | }
 33 | 
 34 | #header p{
 35 | 	font-size:20px;
 36 | 	margin:20px;
 37 | }
 38 | 
 39 | #game-pane{
 40 | 	width: 460px;
 41 | 	height: 460px;
 42 | 	padding: 20px;
 43 | 	
 44 | 	margin:0px auto;
 45 | 	background-color:#bbada0;
 46 | 	
 47 | 	border-radius:10px;
 48 | 	position: relative;
 49 | }
 50 | 
 51 | #game-pane .cell{
 52 | 	width:100px;
 53 | 	height:100px;
 54 | 	
 55 | 	border-radius:6px;
 56 | 	background-color:#ccc0b3;
 57 | 	
 58 | 	position:absolute;
 59 | }
 60 | 
 61 | #game-pane .number-cell{
 62 | 
 63 | 	border-radius:6px;
 64 | 	
 65 | 	font-size:60px;
 66 | 	text-align:center;
 67 | 	line-height:100px;
 68 | 	font-weight:bold;
 69 | 
 70 | 	position:absolute;
 71 | }
 72 | 
 73 | .over{
 74 | 	display: none;
 75 | 	margin: 0 auto;
 76 | 	background-color:#ccc0b3;
 77 | 	text-align: center;
 78 | 	border:1px solid #666666;
 79 | 	border-radius:10px;
 80 | 	left: 0px;
 81 | 	top: 0px;
 82 | 	position: absolute;
 83 | }
 84 | 
 85 | .over a{
 86 | 	padding: 10px;
 87 | 	background-color:#8f7a66;
 88 | 	color:#fff;
 89 | 	font-weight: bold;
 90 | 	font-size: 17px;
 91 | 	border-radius:10px;
 92 | 	text-decoration: none;
 93 | }
 94 | 
 95 | .over a:hover{
 96 | 	background-color:#9f8b77;
 97 | }
 98 | 
 99 | 
100 | 


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218 | </svg>
219 | 


--------------------------------------------------------------------------------
/AI/urls.py:
--------------------------------------------------------------------------------
 1 | """AI URL Configuration
 2 | 
 3 | The `urlpatterns` list routes URLs to views. For more information please see:
 4 |     https://docs.djangoproject.com/en/2.0/topics/http/urls/
 5 | Examples:
 6 | Function views
 7 |     1. Add an import:  from my_app import views
 8 |     2. Add a URL to urlpatterns:  path('', views.home, name='home')
 9 | Class-based views
10 |     1. Add an import:  from other_app.views import Home
11 |     2. Add a URL to urlpatterns:  path('', Home.as_view(), name='home')
12 | Including another URLconf
13 |     1. Import the include() function: from django.urls import include, path
14 |     2. Add a URL to urlpatterns:  path('blog/', include('blog.urls'))
15 | """
16 | from django.contrib import admin
17 | from django.views.generic.base import RedirectView
18 | from django.conf.urls import url
19 | from django.urls import path, include
20 | from .views import *
21 | from django.conf.urls.static import static
22 | from django.conf import settings
23 | from apps.qrcreate.views import generate_qrcode
24 | from django.views.static import serve
25 | from apps.face_comparison.views import *
26 | from apps.bank_card.views import *
27 | from apps.detect_object.views import *
28 | from apps.gesture.views import *
29 | from apps.identification.views import *
30 | from apps.tenc_ai.views import *
31 | import AI.views
32 | 
33 | urlpatterns = [
34 |     path(r'admin/', admin.site.urls),
35 |     path(r'', home, name='main'),
36 |     path(r'accounts/', include('allauth.urls')),
37 |     path(r'accounts/', include('myauth.urls')),
38 |     # path(r'account/', include('account.urls')),
39 |     url(r'^favicon.ico$', RedirectView.as_view(url=r'media/favicon.ico')),
40 |     url(r'^qr/(.+)$', generate_qrcode, name='qr'),
41 |     url(r'^qr/', home, name='qrcode'),
42 |     path(r'face-comparison/', face_compare, name='face_comparison'),
43 |     path(r'face-comparison/face_compare_request/', face_compare_request, name='face_compare_request'),
44 |     path(r'bank-card/', bank_card, name='bank_card'),
45 |     path(r'bank-card/bank_card_request/', bank_card_request, name='bank_card_request'),
46 |     path(r'gesture/', gesture, name='gesture'),
47 |     path(r'gesture/gesture_request/', gesture_request, name='gesture_request'),
48 |     url(r'^media/(?P<path>.*)$', serve, {'document_root': settings.MEDIA_ROOT}),
49 |     url(r'^static/(?P<path>.*)$', serve, {'document_root': settings.STATIC_ROOT}),
50 |     path(r'', include('apps.identification.urls'), ),
51 |     path('test', test),
52 |     path('ajax', ajax),
53 |     url(r'^tenc-ai/', tenc_ai, name='tenc_ai'),
54 | 
55 | 
56 | ] + static(settings.MEDIA_URL, document_root=settings.MEDIA_ROOT,) + static(settings.STATIC_URL,
57 |                                                                             document_root=settings.STATIC_ROOT)
58 | 


--------------------------------------------------------------------------------
/AI/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render
 2 | from gallery.models import Gallery
 3 | 
 4 | 
 5 | def home(request):
 6 |     gallerys = Gallery.objects
 7 |     return render(request, 'home.html', {'gallerys': gallerys})
 8 | 
 9 | 
10 | def handler404(request, exception):
11 |     return render('home.html')
12 | 
13 | 
14 | def handler500(request):
15 |     return render('home.html')
16 | 
17 | 
18 | 
19 | 
20 | 
21 | 
22 | 
23 | 
24 | 


--------------------------------------------------------------------------------
/AI/wsgi.py:
--------------------------------------------------------------------------------
 1 | """
 2 | WSGI config for AI project.
 3 | 
 4 | It exposes the WSGI callable as a module-level variable named ``application``.
 5 | 
 6 | For more information on this file, see
 7 | https://docs.djangoproject.com/en/2.0/howto/deployment/wsgi/
 8 | """
 9 | 
10 | import os
11 | 
12 | from django.core.wsgi import get_wsgi_application
13 | 
14 | os.environ.setdefault("DJANGO_SETTINGS_MODULE", "AI.settings")
15 | 
16 | application = get_wsgi_application()
17 | 


--------------------------------------------------------------------------------
/LICENSE.md:
--------------------------------------------------------------------------------
 1 | 
 2 | The MIT License (MIT)
 3 | 
 4 | Copyright (c) 2018 
 5 | 
 6 | Permission is hereby granted, free of charge, to any person obtaining a copy
 7 | of this software and associated documentation files (the "Software"), to deal
 8 | in the Software without restriction, including without limitation the rights
 9 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
10 | copies of the Software, and to permit persons to whom the Software is
11 | furnished to do so, subject to the following conditions:
12 | 
13 | The above copyright notice and this permission notice shall be included in all
14 | copies or substantial portions of the Software.
15 | 
16 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 | SOFTWARE.
23 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
  1 | # AI Image classifiers on Django server with REST API
  2 | 
  3 | <div align="center">
  4 |     <a href=""><img src="https://i.loli.net/2019/03/19/5c8ff77663c65.png" width="200" hegiht="200"/></a>
  5 | </div>
  6 | <br>
  7 | 
  8 | [![python3.5](https://img.shields.io/badge/python-3.5-blue.svg)]()
  9 | [![python3.6](https://img.shields.io/badge/python-3.6-brightgreen.svg)]()
 10 | [![python3.6](https://img.shields.io/badge/python-3.7-orange.svg)]()
 11 | [![django3.0.0](https://img.shields.io/badge/django-3.0.0-brightgreen.svg)]()
 12 | [![Build Status](https://travis-ci.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI.svg?branch=master)](https://travis-ci.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI)
 13 | 
 14 | 
 15 | ## Table of Contents
 16 | 
 17 | - [Introduction](#introduction)
 18 | - [Description](#description)
 19 | - [Features](#features)
 20 | - [Architecture](#architecture)
 21 | - [Usage](#usage)
 22 | - [Results](#results)
 23 | - [Issue](#issue)
 24 | - [Others](#others)
 25 | - [License](#license)
 26 | 
 27 | ## Introduction  
 28 | A Keras deep learning image classifiers on Django server with REST API. It can help you quickly deploy and apply ML models.
 29 | 
 30 | ## Description 
 31 | Machine Learning (ML) models are typically trained and test on benchmark data sets. However, such data sets may not represent the data in real applications. These ML models should be updated after tested on real data sets. Deployment of the models after each update may be time consuming. Therefore, automated deployment is needed to save time and effort. In this proposal, we describe our solution to integrate trained ML models into any application of interest. We use Django web-based platform to build REST API for model deployment. Jenkins is used for continuous integration and automated deployment of ML models into Django servers.
 32 | 
 33 | ## Features
 34 | - [x] Add Account management funtion
 35 | - [x] Add Login & Signup
 36 | - [x] Add Django Rest Framework
 37 | - [x] Optimize front-end interface, adapt to mobile and PC interface
 38 | - [x] Design front-end and back-end interactive interfaces
 39 | - [x] Add feature: Face comparison
 40 | - [x] Add feature: Bank card identification
 41 | - [x] Add feature: Gesture identification
 42 | - [x] Add feature: Image classify using following model：
 43 |   - [x] ResNet50
 44 |   - [x] Xception  
 45 |   - [x] MobileNet, MobileNetV2  
 46 |   - [x] InceptionV3, InceptionResNetV2
 47 |   - [x] DenseNet121, DenseNet169, DenseNet201
 48 |   - [x] VGG16, VGG19
 49 |   - [x] NASNetMobile, NASNetLarge
 50 | - [x] Run each part of functions seperately in local and cloud server
 51 | - [x] Run all the functions in local server and cloud server
 52 | - [x] Design and using machine learning CI/CD Tools such as Git, Jenkins, Nginx, uwgsi for deployment.
 53 | 
 54 | ## Architicture
 55 | 
 56 | <div align="center">
 57 | <img src="https://s2.ax1x.com/2019/05/01/EJBx0S.png" width="600" height="300" alt="Result01.png" title="Result01.png" />
 58 | </div>
 59 | 
 60 | ## Usage
 61 | I assume you already have your own local virtual environment.  
 62 | ```
 63 | git clone https://github.com/nature1995/image-classify-django-server.git
 64 | ```
 65 | ```
 66 | pip install -r requirements.txt
 67 | python manage.py makemigrations
 68 | python manage.py migrate
 69 | python manage.py collectstatic
 70 | python manage.py runserver 0.0.0.0:8000
 71 | ```
 72 | Access the web page though this link: http://127.0.0.1:8000/
 73 | 
 74 | Name         				| Description
 75 | --------------------------- | -----------------------
 76 | Face comparison  			| Extract and analyze facial features in pictures
 77 | Bank card identification  	| Identify the field information above the bank card
 78 | Gesture identification  	| Detect and return the meaning of the gesture in the picture.
 79 | Image classify 				| Detects objects in the image, returns the detected object name, and the corresponding confidence.		
 80 | 
 81 | ### Docker
 82 | You can use `dockerfile` to build this project easily.
 83 | ```sh
 84 | # Follow any instruction to install the docker-ce, docker for OS X or PC in your device
 85 | docker build -t ai_image_classifiers .
 86 | docker run -it --rm -p 8000:8000 --name ai_image_classifiers_app ai_image_classifiers:latest
 87 | ```
 88 | 
 89 | ## Result
 90 | 
 91 | Name         		| Input Size| API address
 92 | ---------    		| ----------| ----------------------------------------------------
 93 | ResNet50     		| 224x224   | http://127.0.0.1:8000/predict/api/
 94 | Xception     		| 299x299   | http://127.0.0.1:8000/predict_Xception/api/
 95 | MobileNet     		| 224x224   | http://127.0.0.1:8000/predict_MobileNet/api/
 96 | MobileNetV2     	| 224x224   | http://127.0.0.1:8000/predict_MobileNetV2/api/
 97 | InceptionV3     	| 299x299   | http://127.0.0.1:8000/predict_InceptionV3/api/
 98 | InceptionResNetV2   | 224x224   | http://127.0.0.1:8000/predict_InceptionResNetV2/api/
 99 | DenseNet121     	| 224x224   | http://127.0.0.1:8000/predict_DenseNet121/api/
100 | DenseNet169     	| 224x224   | http://127.0.0.1:8000/predict_DenseNet169/api/
101 | DenseNet201     	| 224x224	| http://127.0.0.1:8000/predict_DenseNet201/api/
102 | VGG16     			| 224x224   | http://127.0.0.1:8000/predict_VGG16/api/
103 | VGG19     			| 224x224   | http://127.0.0.1:8000/predict_VGG19/api/
104 | NASNetLarge     	| 331x331   | http://127.0.0.1:8000/predict_NASNetLarge/api/
105 | NASNetMobile     	| 224x224   | http://127.0.0.1:8000/predict_NASNetMobile/api/
106 | 
107 | #### Input
108 | Parameter | Type                           | Description
109 | --------- | ------------------------------ | -----------------------------------------------------------------------------------
110 | image     | file                           | Image file that you want to classify.
111 | top       | text<br>(optional, default=6) | Return top-k categories of the results. Must me string in integer format.
112 | 
113 | Note: You can not send a very large size image.
114 | 
115 | #### Result
116 | Parameter    | Type                | Description
117 | ------------ | ------------------- | --------------------------------------------
118 | success      | bool                | Whether classification was sucessfuly or not 
119 | predictions  | label, float        | pair of label and it's probability
120 | 
121 | #### Accuracy for individual models
122 | Model	  			|   Accuracy	|	Top-6 Accuracy
123 | ------------------  | ------------  | --------------------
124 | Xception			|	0.780		|		0.955	
125 | VGG16				|	0.722		|		0.914	
126 | VGG19				|	0.723		|		0.910	
127 | ResNet50			|	0.748		|		0.931		
128 | InceptionV3			|	0.789		|		0.948	
129 | InceptionResNetV2	|	0.813		|		0.963	
130 | MobileNet			|	0.714		|		0.904	
131 | MobileNetV2			|	0.723		|		0.912	
132 | DenseNet121			|	0.761		|		0.934	
133 | DenseNet169			|	0.772		|		0.952	
134 | DenseNet201			|	0.783		|		0.945	
135 | NASNetMobile		|	0.752		|		0.920	
136 | NASNetLarge			|	0.837		|		0.959	
137 | 
138 | #### Example
139 | 
140 | Using [Postman](https://www.getpostman.com/downloads/) to test the API:  
141 | POST http://127.0.0.1:8000/predict_VGG19/api/
142 | 
143 | **Result**
144 | ```
145 | {
146 |     "success": true,
147 |     "predictions": [
148 |         {
149 |             "label": "red_fox",
150 |             "probability": 0.8969062566757202
151 |         },
152 |         {
153 |             "label": "kit_fox",
154 |             "probability": 0.08841043710708618
155 |         },
156 |         {
157 |             "label": "grey_fox",
158 |             "probability": 0.012036639265716076
159 |         },
160 |         {
161 |             "label": "Arctic_fox",
162 |             "probability": 0.0022438077721744776
163 |         },
164 |         {
165 |             "label": "coyote",
166 |             "probability": 0.0002566342300269753
167 |         },
168 |         {
169 |             "label": "white_wolf",
170 |             "probability": 0.00005685776341124438
171 |         }
172 |     ]
173 | }
174 | ```
175 | 
176 | ## Compatibility
177 | Support to Django>=2.1.5 or Django==3.0.0 and Python 3.5, 3.6, 3.7.
178 | 
179 | ## Issue
180 | If you have questions or issues, please feel free to tell us.
181 | ## Contribution
182 | Welcome to make pull request. If you have a related project/component/tool, add it with a pull request to add it!
183 | 
184 | ## Others
185 | 
186 | **Admin Account**
187 | ``` 
188 | python manage.py createsuperuser
189 | 
190 | username: ranxiaolang
191 | email: YOUR EMAIL  
192 | password: ranxiaolang  
193 | ```
194 | Access the web page though this link: http://127.0.0.1:8000/admin 
195 | 
196 | **Django Restframework**
197 | 
198 | Access the web page though this link: http://127.0.0.1:8000/iot/
199 | 
200 | ## Contributors
201 | 
202 | [@nature1995](http://ranxiaolang.com)  
203 | 
204 | [@sergulaydore](https://sergulaydore.com)  
205 | 
206 | ## License
207 | 
208 | [MIT](LICENSE) ©


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/account/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/account/__init__.py


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/account/admin.py:
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 1 | # from django.contrib import admin
 2 | # from django.contrib.auth.admin import UserAdmin as BaseUserAdmin
 3 | # from django.contrib.auth.models import User
 4 | # from .models import MembersL1
 5 | #
 6 | #
 7 | # # Register your models here.
 8 | 
 9 | 
10 | 


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/account/apps.py:
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1 | from django.apps import AppConfig
2 | 
3 | 
4 | class AccountConfig(AppConfig):
5 |     name = 'account'
6 | 


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/account/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/account/migrations/__init__.py


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/account/models.py:
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1 | # from django.db import models
2 | # from django.contrib.auth.models import User
3 | #
4 | # # Create your models here.
5 | #
6 | #
7 | 
8 | 
9 | 


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/account/templates/login.html:
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 1 | {% extends "theme.html" %}
 2 | 
 3 | {% block content %}
 4 | 
 5 | <div class="container ">
 6 |   <form class="form-signin" method="POST" action='{% url 'LoginPage' %}' align='center' >
 7 |   {% csrf_token %}
 8 |   <img class="mb-4" src="data:image/svg+xml;utf8;base64,<?xml version="1.0" encoding="iso-8859-1"?>
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" alt="" width="72" height="72">
 9 |   <h1 class="h3 mb-3 font-weight-normal">Please login</h1>
10 |   <div class="container-fluid col-md-3">
11 |     <label for="inputUser" class="sr-only ">User name</label>
12 |     <input type="text" name="用户名" class="form-control" placeholder="User name" required autofocus >
13 |     <br>
14 |     <label for="inputPassword" class="sr-only">Password</label>
15 |     <input type="password" name="密码" class="form-control" placeholder="Password" required >
16 |     {{ Error }}
17 |     <div class="checkbox mb-3">
18 |     <label><input type="checkbox" value="remember-me"> Remember me</label>
19 |     </div>
20 |   <button class="btn btn-lg btn-dark btn-block" type="submit">Sign in</button>
21 |   </div>
22 |   </form>
23 | </div>
24 | 
25 | {% endblock content %}
26 | 


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/account/templates/signup.html:
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 1 | {% extends "theme.html" %}
 2 | 
 3 | {% block content %}
 4 | 
 5 | <div class="container ">
 6 |   <form class="form-signin" method="POST" action='{% url 'SignupPage' %}' align='center' >
 7 |   {% csrf_token %}
 8 |     <img class="mb-4" src="data:image/svg+xml;utf8;base64,<?xml version="1.0" encoding="iso-8859-1"?>
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" alt="" width="72" height="72">
 9 |     <h1 class="h3 mb-3 font-weight-normal">Please signup</h1>
10 |     <div class="container-fluid col-md-3">
11 |       <label for="inputUsername" class="sr-only ">User name</label>
12 |       <input type="text" name="用户名" class="form-control" placeholder="User name" required autofocus >
13 |       <br>
14 |       <label for="inputPassword" class="sr-only">Password</label>
15 |       <input type="password" name="密码" class="form-control" placeholder="Password" required >
16 |       <label for="inputPasswordAgain" class="sr-only">Password</label>
17 |       <input type="password" name="确认密码" class="form-control" placeholder="Password_Again" required >
18 |       {{  Username_error }}
19 |       {{  Pass_Wrong }}
20 |       <br>
21 |       <button class="btn btn-lg btn-dark btn-block" type="submit">Signup</button>
22 |      </div>
23 |   </form>
24 | </div>
25 | 
26 | {% endblock content %}


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/account/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/account/urls.py:
--------------------------------------------------------------------------------
 1 | 
 2 | from django.urls import path
 3 | from . import views
 4 | 
 5 | urlpatterns = [
 6 |     path('signup/', views.signup, name='SignupPage'),
 7 |     path('login/', views.login, name='LoginPage'),
 8 |     path('logout/', views.logout, name='LogoutPage'),
 9 | 
10 | ]
11 | 


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/account/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render, redirect
 2 | from django.contrib.auth.models import User
 3 | from django.contrib import auth
 4 | 
 5 | 
 6 | # Create your views here.
 7 | 
 8 | def signup(request):
 9 |     if request.method == 'GET':
10 |         return render(request, 'accounts/../templates/signup.html')
11 |     elif request.method == 'POST':
12 |         user_name = request.POST['用户名']
13 |         password1 = request.POST['密码']
14 |         password2 = request.POST['确认密码']
15 |         try:
16 |             User.objects.get(username=user_name)
17 |             return render(request, 'accounts/../templates/signup.html', {'Username_error': 'The user already exists'})
18 |         except User.DoesNotExist:
19 |             if password1 == password2:
20 |                 User.objects.create_user(username=user_name, password=password1)
21 |                 return redirect('主页')
22 |             else:
23 |                 return render(request, 'accounts/../templates/signup.html', {'Pass_Wrong': 'Inconsistent entry password'})
24 | 
25 | 
26 | def login(request):
27 |     if request.method == 'GET':
28 |         return render(request, 'accounts/../templates/login.html')
29 |     elif request.method == 'POST':
30 |         user_name = request.POST['用户名']
31 |         pass_word = request.POST['密码']
32 |         user = auth.authenticate(username=user_name,password=pass_word)
33 |         if user is None:
34 |             return render(request, 'accounts/../templates/login.html', {'Error': 'Wrong user name or password'})
35 |         else:
36 |             auth.login(request, user)
37 |             return redirect('主页')
38 | 
39 | 
40 | def logout(request):
41 |     if request.method == 'POST':
42 |         auth.logout(request)
43 |         return redirect('主页')
44 | 
45 | 
46 | 
47 | 
48 | 
49 | 
50 | 		
51 | 
52 | 
53 | 
54 | 	


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/apps/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/__init__.py


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/apps/bank_card/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/bank_card/__init__.py


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/apps/bank_card/admin.py:
--------------------------------------------------------------------------------
1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/bank_card/apps.py:
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1 | from django.apps import AppConfig
2 | 
3 | 
4 | class BankCardConfig(AppConfig):
5 |     name = 'apps.bank_card'
6 | 


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/apps/bank_card/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/bank_card/migrations/__init__.py


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/apps/bank_card/models.py:
--------------------------------------------------------------------------------
1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


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/apps/bank_card/templates/bank-card.html:
--------------------------------------------------------------------------------
 1 | {% extends "base_api.html" %}
 2 | 
 3 | {% block content %}
 4 |   <div id="app" class="container">
 5 |       <form class="" id="faceform" action="https://api-cn.faceplusplus.com/cardpp/v1/ocrbankcard" method="post" enctype="multipart/form-data">
 6 |         {% csrf_token %}
 7 |         <div class="input-group col-md-6 col-center-block">
 8 |           <div class="custom-file">
 9 |             <input type="file" class="custom-file-input" name="image_file" @change="getFile1" id="image_file1" aria-describedby="inputGroupFileAddon01">
10 |             <label class="custom-file-label" for="image_file1">Choose file</label>
11 |           </div>
12 |         </div>
13 |       </form>
14 |       <br>
15 |       <div class="col-md-6 col-center-block">
16 |         <button type="button" @click="submit" class="btn btn-dark">Identify</button>
17 |         <br>
18 |         <br>
19 |         <span id="shownumber"></span>
20 |         <br>
21 |         <span id="showorganization"></span>
22 |         <br>
23 |         <span id="showbank"></span>
24 |         <br>
25 |       </div>
26 |       <div class="row">
27 |         <div class="col-md-6 col-center-block">
28 |           <img class="img-responsive" id="img1" :src="src1" hidden>
29 |         </div>
30 |       </div>
31 |   </div>
32 | 
33 | {% endblock content %}
34 | 
35 | {% block scripts %}
36 | <script src="https://cdn.jsdelivr.net/npm/vue"></script>
37 | <script src="https://ajax.aspnetcdn.com/ajax/jQuery/jquery-3.3.1.min.js"></script>
38 | <script>
39 |     var app = new Vue({
40 |       el: '#app',
41 |       data:{
42 |           src1: '',
43 |           file1: null,
44 |           card_numbers: false
45 |       },
46 |       methods:{
47 |         submit:function(){
48 |             var self = this
49 |             $('#shownumber').text('In the calculation, please wait...')
50 |             $.ajax({
51 |                 url: 'bank_card_request/',
52 |                 type: 'POST',
53 |                 cache: false,
54 |                 data: new FormData($('#faceform')[0]),
55 |                 processData: false,
56 |                 contentType: false,
57 |                 timeout: 10000,//10秒超时时间
58 |             }).done(function(res) {
59 |                   {#for(var i=0,l=res.bank_cards.length;i<l;i++) {#}
60 |                   {#    for (var key in res.bank_cards[i]) {#}
61 |                   {#        console.log(key + ':' + res.bank_cards[i][key]);#}
62 |                   {#        card_numbers = res.bank_cards[0]['number']#}
63 |                   {#    }}#}
64 |                 try {
65 |                   card_numbers = res.bank_cards[0]['number']
66 |                   card_organization = res.bank_cards[0]['organization']
67 |                   card_bank = res.bank_cards[0]['bank']
68 |                   $('#shownumber').text('Card number: '+ card_numbers)
69 |                   $('#showorganization').text('Card organization: '+ card_organization)
70 |                   $('#showbank').text('Card bank: '+ card_bank)
71 |                 }
72 |                 catch (e) {
73 |                   $('#shownumber').text('Please make sure you upload a bank card, try it again!')
74 |                 }
75 |             }).fail(function(res) {
76 |                 console.log(res)
77 |             });
78 |         },
79 |         getFile1:function($event){
80 |           this.file1 = $event.target.files[0];
81 |           var reader = new FileReader();
82 |           reader.readAsDataURL(this.file1);
83 |           var app = this;
84 |           reader.onloadend=function() {
85 |               app.src1 = this.result;
86 |               $('#img1').attr('hidden',false)
87 |           };
88 |         },
89 |       }
90 |     })
91 | </script>
92 | {% endblock scripts %}
93 | 


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/apps/bank_card/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


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/apps/bank_card/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render
 2 | from django.http import HttpResponse
 3 | import requests
 4 | import AI.settings as config
 5 | 
 6 | 
 7 | # Create your views here.
 8 | def bank_card(request):
 9 |     return render(request, 'bank-card.html')
10 | 
11 | 
12 | def bank_card_request(request):
13 |     api_key = config.API_KEY
14 |     api_secret = config.API_SECRET
15 |     response = requests.post('https://api-cn.faceplusplus.com/cardpp/v1/ocrbankcard', \
16 |                              data={'api_key': api_key, 'api_secret': api_secret}, \
17 |                              files=request.FILES)
18 |     return HttpResponse(bytes.decode(response.content), content_type='application/json')
19 | 


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/apps/detect_object/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/detect_object/__init__.py


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/apps/detect_object/admin.py:
--------------------------------------------------------------------------------
1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/detect_object/apps.py:
--------------------------------------------------------------------------------
1 | from django.apps import AppConfig
2 | 
3 | 
4 | class DetectObjectConfig(AppConfig):
5 |     name = 'apps.detect_object'
6 | 


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/apps/detect_object/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/detect_object/migrations/__init__.py


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/apps/detect_object/models.py:
--------------------------------------------------------------------------------
1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


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/apps/detect_object/templates/detect_object.html:
--------------------------------------------------------------------------------
 1 | <!DOCTYPE html>
 2 | <html lang="en">
 3 | <head>
 4 |     <meta charset="UTF-8">
 5 |     <title>ajax</title>
 6 | 
 7 |     <script type="text/javascript" src="https://ajax.aspnetcdn.com/ajax/jQuery/jquery-3.3.1.min.js"></script>
 8 | </head>
 9 | <body>
10 | <button id="send">发送</button>
11 | <script>
12 | 
13 |     $("#send").click(function () {
14 |         {#json数据#}
15 |         var post_data={
16 |             "name":"Ziran",
17 |         };
18 | 
19 |         $.ajax({
20 |             url:"http://127.0.0.1:8000/ajax",
21 |             type:"POST",
22 |             {#发送json数据到服务器#}
23 |             data:post_data,
24 | 
25 |             {#请求成功回调函数#}
26 |             success:function (data) {
27 |                 alert(data)
28 |                 alert("请求成功")
29 |             },
30 |             {#请求失败回调函数#}
31 |             error:function () {
32 |                 alert("服务器请求超时,请重试!")
33 |             }
34 | 
35 |         });
36 |     });
37 | </script>
38 | </body>
39 | </html>


--------------------------------------------------------------------------------
/apps/detect_object/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/apps/detect_object/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render,HttpResponse
 2 | import json
 3 | from django.views.decorators.csrf import csrf_exempt
 4 | 
 5 | 
 6 | def test(request):
 7 |     return render(request,'detect_object.html')
 8 | 
 9 | 
10 | @csrf_exempt
11 | def ajax(request):
12 |     if request.method=="POST":
13 |         name=request.POST.get('name')
14 |         print("ok")
15 |         status=1
16 |         result="sucuss"
17 |         return HttpResponse(json.dumps({
18 |             "status":status,
19 |             "result":result,
20 |             "name":name
21 |         }))


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/apps/face_comparison/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/face_comparison/__init__.py


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/apps/face_comparison/admin.py:
--------------------------------------------------------------------------------
1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/face_comparison/apps.py:
--------------------------------------------------------------------------------
1 | from django.apps import AppConfig
2 | 
3 | 
4 | class FaceConfig(AppConfig):
5 |     name = 'apps.face-comparison'
6 | 


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/apps/face_comparison/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/face_comparison/migrations/__init__.py


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/apps/face_comparison/models.py:
--------------------------------------------------------------------------------
1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


--------------------------------------------------------------------------------
/apps/face_comparison/templates/face-comparison.html:
--------------------------------------------------------------------------------
 1 | {% extends "base_api.html" %}
 2 | 
 3 | {% block content %}
 4 |   <div id="app" class="container">
 5 |       <form class="" id="faceform" action="https://api-cn.faceplusplus.com/facepp/v3/compare" method="post" enctype="multipart/form-data">
 6 |         {% csrf_token %}
 7 |         <div class="input-group col-md-6 col-center-block">
 8 |           <div class="custom-file">
 9 |             <input type="file" class="custom-file-input" name="image_file1" @change="getFile1" id="image_file1" aria-describedby="inputGroupFileAddon01">
10 |             <label class="custom-file-label" for="image_file1">Choose file</label>
11 |           </div>
12 |         </div>
13 |         <br>
14 |         <div class="input-group col-md-6 col-center-block">
15 |           <div class="custom-file">
16 |             <input type="file" class="custom-file-input" name="image_file2" @change="getFile2" id="image_file2" aria-describedby="inputGroupFileAddon02">
17 |             <label class="custom-file-label" for="image_file2">Choose file</label>
18 |           </div>
19 |         </div>
20 |       </form>
21 |       <br>
22 |       <div class="col-md-6 col-center-block">
23 |         <button type="button" @click="submit" class="btn btn-danger">Campare</button>
24 |         <br>
25 |         <br>
26 |         <span id="showconfidence"></span>
27 |         <br>
28 |       </div>
29 |       <div class="row">
30 |         <div class="showImage col-md-3 col-center-block">
31 |           <img id="img1" :src="src1" hidden>
32 |         </div>
33 |         <div class="showImage col-md-3 col-center-block">
34 |           <img id="img2" :src="src2" hidden>
35 |         </div>
36 |       </div>
37 | 
38 |   </div>
39 | {% endblock content %}
40 | 
41 | {% block scripts %}
42 | <script src="https://cdn.jsdelivr.net/npm/vue"></script>
43 | <script src="https://ajax.aspnetcdn.com/ajax/jQuery/jquery-3.3.1.min.js"></script>
44 | <script>
45 |     var app = new Vue({
46 |       el: '#app',
47 |       data:{
48 |           src1: '',
49 |           src2: '',
50 |           file1: null,
51 |           file2: null,
52 |           confidence:false
53 |       },
54 |       methods:{
55 |         submit:function(){
56 |             var self = this
57 |             $('#showconfidence').text('In the calculation, please wait...')
58 |             $.ajax({
59 |                 url: 'face_compare_request/',
60 |                 type: 'POST',
61 |                 cache: false,
62 |                 data: new FormData($('#faceform')[0]),
63 |                 processData: false,
64 |                 contentType: false
65 |             }).done(function(res) {
66 |                 $('#showconfidence').text('Similarity：'+res.confidence)
67 |             }).fail(function(res) {
68 |                 console.log(res)
69 |             });
70 |         },
71 |         getFile1:function($event){
72 |           this.file1 = $event.target.files[0];
73 |           var reader = new FileReader();
74 |           reader.readAsDataURL(this.file1);
75 |           var app = this;
76 |           reader.onloadend=function() {
77 |               app.src1 = this.result;
78 |               $('#img1').attr('hidden',false)
79 |           };
80 |         },
81 |         getFile2:function($event){
82 |           this.file2 = $event.target.files[0];
83 |           var reader = new FileReader();
84 |           reader.readAsDataURL(this.file2);
85 |           var app = this;
86 |           reader.onloadend=function() {
87 |               app.src2 = this.result;
88 |               $('#img2').attr('hidden',false)
89 |           };
90 |         }
91 |       }
92 |     })
93 | </script>
94 | {% endblock scripts %}
95 | 
96 | 


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/apps/face_comparison/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/apps/face_comparison/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render
 2 | from django.http import HttpResponse
 3 | import requests
 4 | import AI.settings as config
 5 | 
 6 | 
 7 | # Create your views here.
 8 | def face_compare(request):
 9 |     return render(request, 'face-comparison.html')
10 | 
11 | 
12 | def face_compare_request(request):
13 |     api_key = config.API_KEY
14 |     api_secret = config.API_SECRET
15 |     response = requests.post('https://api-cn.faceplusplus.com/facepp/v3/compare', \
16 |                              data={'api_key': api_key, 'api_secret': api_secret}, \
17 |                              files=request.FILES)
18 |     return HttpResponse(bytes.decode(response.content), content_type='application/json')


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/apps/gesture/__init__.py:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/gesture/__init__.py


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/apps/gesture/admin.py:
--------------------------------------------------------------------------------
1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/gesture/apps.py:
--------------------------------------------------------------------------------
1 | from django.apps import AppConfig
2 | 
3 | 
4 | class GestureConfig(AppConfig):
5 |     name = 'apps.gesture'
6 | 


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/apps/gesture/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/gesture/migrations/__init__.py


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/apps/gesture/models.py:
--------------------------------------------------------------------------------
1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


--------------------------------------------------------------------------------
/apps/gesture/templates/gesture.html:
--------------------------------------------------------------------------------
 1 | {% extends "base_api.html" %}
 2 | 
 3 | {% block content %}
 4 |   <div id="app" class="container">
 5 |       <form class="" id="faceform" action="https://api-cn.faceplusplus.com/cardpp/v1/ocrbankcard" method="post" enctype="multipart/form-data">
 6 |         {% csrf_token %}
 7 |         <div class="input-group col-md-6 col-center-block">
 8 |           <div class="custom-file">
 9 |             <input type="file" class="custom-file-input" name="image_file" @change="getFile1" id="image_file1" aria-describedby="inputGroupFileAddon01">
10 |             <label class="custom-file-label" for="image_file1">Choose file</label>
11 |           </div>
12 |         </div>
13 |       </form>
14 |       <br>
15 |       <div class="col-md-6 col-center-block">
16 |         <button type="button" @click="submit" class="btn btn-info">Identify</button>
17 |         <br>
18 |         <br>
19 |         <span id="showgesture"></span>
20 |         <br>
21 |         <br>
22 |       </div>
23 |       <div class="row">
24 |         <div class="col-md-6 col-center-block">
25 |           <img class="img-responsive" id="img1" :src="src1" hidden>
26 |         </div>
27 |       </div>
28 |   </div>
29 | 
30 | {% endblock content %}
31 | 
32 | {% block scripts %}
33 | 
34 |   <script src="https://cdn.jsdelivr.net/npm/vue"></script>
35 |   <script src="https://ajax.aspnetcdn.com/ajax/jQuery/jquery-3.3.1.min.js"></script>
36 |   <script>
37 |       var app = new Vue({
38 |         el: '#app',
39 |         data:{
40 |             src1: '',
41 |             file1: null,
42 |             gesture: false
43 |         },
44 |         methods:{
45 |           submit:function(){
46 |               var self = this
47 |               var gesture_model = {
48 |                   hand_open:'Hand open',unknown:'Unknown',Heart_a:'Heart style A',heart_b:'Heart style B'
49 |                   ,heart_c:'Heart style C',ok:'OK',hand_open:'Hand open',thumb_up:'Thumb up',thumb_down:'Thumb down',
50 |                   rock:'ROCK',namaste:'Hands together', palm_up:'Palm up',fist:'Fist',index_finger_up:'Index finger up',
51 |                   double_finger_up:'Double finger up',victory:'Victory',big_v:'Big V',phonecall:'Make a phonecall',
52 |                   beg:'Beg',thanks:'Thanks',big_v:'Big V'
53 |               }
54 |               $('#showgesture').text('In the calculation, please wait...')
55 |               $.ajax({
56 |                   url: 'gesture_request/',
57 |                   type: 'POST',
58 |                   cache: false,
59 |                   data: new FormData($('#faceform')[0]),
60 |                   processData: false,
61 |                   contentType: false,
62 |                   timeout: 10000,//10秒超时时间
63 |               }).done(function(res) {
64 |                   try {
65 |                   for (var key in res.hands[0].gesture) {
66 |                     console.log(key)
67 |                     if(res.hands[0].gesture[key] >= 55){
68 | 
69 |                         gesture = gesture_model[key]
70 |                         $('#showgesture').text('Gesture: '+ gesture)
71 |                         break;
72 |                     }
73 |                     else{
74 |                         gesture = 'unknown'
75 |                         continue;
76 |                     }
77 |                   }
78 |                   }
79 |                   catch (e) {
80 |                   $('#showgesture').text('Gesture: unknown, please try it again!')
81 |                   }
82 |               }).fail(function(res) {
83 |                   $('#showgesture').text('Gesture: unknown, please try it again!')
84 |               });
85 |           },
86 |           getFile1:function($event){
87 |             this.file1 = $event.target.files[0];
88 |             var reader = new FileReader();
89 |             reader.readAsDataURL(this.file1);
90 |             var app = this;
91 |             reader.onloadend=function() {
92 |                 app.src1 = this.result;
93 |                 $('#img1').attr('hidden',false)
94 |             };
95 |           },
96 |         }
97 |       })
98 |   </script>
99 | {% endblock scripts %}


--------------------------------------------------------------------------------
/apps/gesture/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/apps/gesture/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render
 2 | from django.http import HttpResponse
 3 | import requests
 4 | import AI.settings as config
 5 | 
 6 | 
 7 | # Create your views here.
 8 | def gesture(request):
 9 |     return render(request, 'gesture.html')
10 | 
11 | 
12 | def gesture_request(request):
13 |     api_key = config.API_KEY
14 |     api_secret = config.API_SECRET
15 |     response = requests.post('https://api-cn.faceplusplus.com/humanbodypp/v1/gesture', \
16 |                              data={'api_key': api_key, 'api_secret': api_secret}, \
17 |                              files=request.FILES)
18 |     return HttpResponse(bytes.decode(response.content), content_type='application/json')
19 | 


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/apps/identification/__init__.py:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/identification/__init__.py


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/apps/identification/admin.py:
--------------------------------------------------------------------------------
1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/identification/apps.py:
--------------------------------------------------------------------------------
1 | from django.apps import AppConfig
2 | 
3 | 
4 | class IdentificationConfig(AppConfig):
5 |     name = 'apps.identification'
6 | 


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/apps/identification/migrations/__init__.py:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/identification/migrations/__init__.py


--------------------------------------------------------------------------------
/apps/identification/models.py:
--------------------------------------------------------------------------------
1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


--------------------------------------------------------------------------------
/apps/identification/templates/predict.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | {% load static %}
3 | 


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/apps/identification/templates/predict_DenseNet121.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_DenseNet169.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_DenseNet201.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_InceptionResNetV2.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_InceptionV3.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_MobileNet.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_MobileNetV2.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_NASNetLarge.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_NASNetMobile.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


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/apps/identification/templates/predict_VGG16.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


--------------------------------------------------------------------------------
/apps/identification/templates/predict_VGG19.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


--------------------------------------------------------------------------------
/apps/identification/templates/predict_Xception.html:
--------------------------------------------------------------------------------
1 | {% extends "base_predict.html" %}
2 | 


--------------------------------------------------------------------------------
/apps/identification/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/apps/identification/urls.py:
--------------------------------------------------------------------------------
 1 | """AI URL Configuration
 2 | 
 3 | The `urlpatterns` list routes URLs to views. For more information please see:
 4 |     https://docs.djangoproject.com/en/2.0/topics/http/urls/
 5 | Examples:
 6 | Function views
 7 |     1. Add an import:  from my_app import views
 8 |     2. Add a URL to urlpatterns:  path('', views.home, name='home')
 9 | Class-based views
10 |     1. Add an import:  from other_app.views import Home
11 |     2. Add a URL to urlpatterns:  path('', Home.as_view(), name='home')
12 | Including another URLconf
13 |     1. Import the include() function: from django.urls import include, path
14 |     2. Add a URL to urlpatterns:  path('blog/', include('blog.urls'))
15 | """
16 | from django.urls import path
17 | from .views import *
18 | 
19 | 
20 | urlpatterns = [
21 |     # path for each model separately
22 |     path('predict/api/', predict_request, name='predict_request'),
23 |     path('predict/', predict, name='predict'),
24 |     #
25 |     path('predict_MobileNet/api/', predict_MobileNet_request,
26 |          name='predict_MobileNet_request'),
27 |     path('predict_MobileNet/', predict_MobileNet, name='predict_MobileNet'),
28 |     path('predict_InceptionResNetV2/api/', predict_InceptionResNetV2_request,
29 |          name='predict_InceptionResNetV2_request'),
30 |     path('predict_InceptionResNetV2/', predict_InceptionResNetV2, name='predict_InceptionResNetV2'),
31 |     ##
32 |     path('predict_MobileNetV2/api/', predict_MobileNetV2_request, name='predict_MobileNetV2_request'),
33 |     path('predict_MobileNetV2/', predict_MobileNetV2, name='predict_MobileNetV2'),
34 |     path('predict_Xception/api/', predict_Xception_request,
35 |          name='predict_Xception_request'),
36 |     path('predict_Xception/', predict_Xception, name='predict_Xception'),
37 |     #
38 |     path('predict_VGG16/api/', predict_VGG16_request,
39 |          name='predict_VGG16_request'),
40 |     path('predict_VGG16/', predict_VGG16, name='predict_VGG16'),
41 |     ##
42 |     path('predict_VGG19/api/', predict_VGG19_request,
43 |          name='predict_VGG19_request'),
44 |     path('predict_VGG19/', predict_VGG19, name='predict_VGG19'),
45 | 
46 |     path('predict_DenseNet121/api/', predict_DenseNet121_request,
47 |          name='predict_DenseNet121_request'),
48 |     path('predict_DenseNet121/', predict_DenseNet121, name='predict_DenseNet121'),
49 |     path('predict_DenseNet169/api/', predict_DenseNet169_request,
50 |          name='predict_DenseNet169_request'),
51 |     path('predict_DenseNet169/', predict_DenseNet169, name='predict_DenseNet169'),
52 |     path('predict_DenseNet201/api/', predict_DenseNet201_request,
53 |          name='predict_DenseNet201_request'),
54 |     path('predict_DenseNet201/', predict_DenseNet201, name='predict_DenseNet201'),
55 | 
56 |     path('predict_InceptionV3/api/', predict_InceptionV3_request,
57 |          name='predict_InceptionV3_request'),
58 |     path('predict_InceptionV3/', predict_InceptionV3, name='predict_InceptionV3'),
59 |     path('predict_NASNetMobile/api/', predict_NASNetMobile_request,
60 |          name='predict_NASNetMobile_request'),
61 |     path('predict_NASNetMobile/', predict_NASNetMobile, name='predict_NASNetMobile'),
62 |     path('predict_NASNetLarge/api/', predict_NASNetLarge_request,
63 |          name='predict_NASNetLarge_request'),
64 |     path('predict_NASNetLarge/', predict_NASNetLarge, name='predict_NASNetLarge'),
65 | ]


--------------------------------------------------------------------------------
/apps/identification/views.py:
--------------------------------------------------------------------------------
  1 | from django.shortcuts import render
  2 | from django.http import HttpResponse
  3 | from django.conf import settings
  4 | from django.views.decorators.csrf import csrf_exempt
  5 | from keras.preprocessing.image import img_to_array
  6 | from keras.applications import imagenet_utils
  7 | 
  8 | from keras.applications import ResNet50
  9 | from keras.applications import MobileNet, MobileNetV2
 10 | from keras.applications import InceptionV3, InceptionResNetV2
 11 | from keras.applications import DenseNet121, DenseNet169, DenseNet201
 12 | from keras.applications import VGG19, VGG16, Xception
 13 | from keras.applications import NASNetMobile, NASNetLarge
 14 | from PIL import Image
 15 | import numpy as np
 16 | import io
 17 | import tensorflow as tf
 18 | import json
 19 | import ssl
 20 | 
 21 | 
 22 | #  Convert the image as a correct formation
 23 | def prepare_image(image, target):
 24 |     # if the image mode is not RGB, convert it
 25 |     if image.mode != "RGB":
 26 |         image = image.convert("RGB")
 27 | 
 28 |     # resize the input image and preprocess it
 29 |     image = image.resize(target)
 30 |     image = img_to_array(image)
 31 |     image = np.expand_dims(image, axis=0)
 32 |     image = imagenet_utils.preprocess_input(image)
 33 | 
 34 |     # return the processed image
 35 |     return image
 36 | 
 37 | 
 38 | #  ResNet50
 39 | def predict(request):
 40 |     try:
 41 |         load_model()
 42 |         ssl._create_default_https_context = ssl._create_unverified_context
 43 |     except:
 44 |         pass
 45 |     finally:
 46 |         return render(request, 'predict.html')
 47 | 
 48 | 
 49 | def load_model():
 50 |     # # NASNetLarge Model 331x331
 51 |     # settings.SITE_MODEL = NASNetLarge(weights="imagenet")
 52 |     # # NASNetMobile Model 224x224
 53 |     # settings.SITE_MODEL = NASNetMobile(weights="imagenet")
 54 |     # # Xception Model 299x299
 55 |     # settings.SITE_MODEL = Xception(weights="imagenet")
 56 |     # # VGG19 Model 224x224
 57 |     # settings.SITE_MODEL = VGG19(weights="imagenet")
 58 |     # # VGG16 Model 224x224
 59 |     # settings.SITE_MODEL = VGG16(weights="imagenet")
 60 |     # # DenseNet201 Model 224x224
 61 |     # settings.SITE_MODEL = DenseNet201(weights="imagenet")
 62 |     # # DenseNet169 Model 224x224
 63 |     # settings.SITE_MODEL = DenseNet169(weights="imagenet")
 64 |     # # DenseNet121 Model 224x224
 65 |     # settings.SITE_MODEL = DenseNet121(weights="imagenet")
 66 |     # # InceptionV3 Model 299x299
 67 |     # settings.SITE_MODEL = InceptionV3(weights="imagenet")
 68 |     # # InceptionResNetV2 Model 299x299
 69 |     # settings.SITE_MODEL = InceptionResNetV2(weights="imagenet")
 70 |     # # MobileNet Model 224x224
 71 |     # settings.SITE_MODEL = MobileNet(weights="imagenet")
 72 |     # # MobileNetV2 Model 224x224
 73 |     # settings.SITE_MODEL = MobileNetV2(weights="imagenet")
 74 |     # # ResNet50 Model 224x224
 75 |     settings.SITE_MODEL = ResNet50(weights="imagenet")
 76 |     settings.SITE_GRAPH = tf.get_default_graph()
 77 | 
 78 | 
 79 | @csrf_exempt
 80 | def predict_request(request):
 81 | 
 82 |     # initialize the data dictionary that will be returned from the view
 83 |     data = {"success": False}
 84 | 
 85 |     # ensure an image was properly uploaded to our endpoint
 86 |     if request.method == 'POST':
 87 | 
 88 |         top = request.POST.get("top")
 89 | 
 90 |         if request.FILES.get("image"):
 91 |             # read the image in PIL format
 92 |             image = request.FILES["image"].read()
 93 |             image = Image.open(io.BytesIO(image))
 94 | 
 95 |             if top:
 96 |                 top = int(top)
 97 |             else:
 98 |                 top = 6
 99 | 
100 |             # preprocess the image and prepare it for classification
101 |             # choice a format which the model use
102 |             image = prepare_image(image, target=(224, 224))
103 |             # image = prepare_image(image, target=(224, 224))/255
104 |             # image = prepare_image(image, target=(299, 299))/255
105 |             # image = prepare_image(image, target=(331, 331))/255
106 | 
107 |             # classify the input image and then initialize the list
108 |             # of predictions to return to the client
109 |             with settings.SITE_GRAPH.as_default():
110 |                 preds = settings.SITE_MODEL.predict(image)
111 |             results = imagenet_utils.decode_predictions(preds, top=top)
112 |             data["predictions"] = []
113 | 
114 |             # loop over the results and add them to the list of
115 |             # returned predictions
116 |             for (imagenetID, label, prob) in results[0]:
117 |                 r = {"label": label, "probability": float(prob)}
118 |                 data["predictions"].append(r)
119 | 
120 |             # indicate that the request was a success
121 |             data["success"] = True
122 | 
123 |     # return the data dictionary as a JSON response
124 |     return HttpResponse(json.dumps(data), content_type='application/json')
125 | 
126 | 
127 | # MobileNet
128 | def predict_MobileNet(request):
129 |     try:
130 |         load_MobileNet_model()
131 |     except:
132 |         pass
133 |     finally:
134 |         return render(request, 'predict_MobileNet.html')
135 | 
136 | 
137 | def load_MobileNet_model():
138 |     # # MobileNet Model 224x224
139 |     settings.SITE_MODEL = MobileNet(weights="imagenet")
140 |     settings.SITE_GRAPH = tf.get_default_graph()
141 | 
142 | 
143 | @csrf_exempt
144 | def predict_MobileNet_request(request):
145 | 
146 |     # initialize the data dictionary that will be returned from the view
147 |     data = {"success": False}
148 | 
149 |     # ensure an image was properly uploaded to our endpoint
150 |     if request.method == 'POST':
151 | 
152 |         top = request.POST.get("top")
153 | 
154 |         if request.FILES.get("image"):
155 |             # read the image in PIL format
156 |             image = request.FILES["image"].read()
157 |             image = Image.open(io.BytesIO(image))
158 | 
159 |             if top:
160 |                 top = int(top)
161 |             else:
162 |                 top = 6
163 | 
164 |             # preprocess the image and prepare it for classification
165 |             # choice a format which the model use
166 |             image = prepare_image(image, target=(224, 224))/255
167 | 
168 |             # classify the input image and then initialize the list
169 |             # of predictions to return to the client
170 |             with settings.SITE_GRAPH.as_default():
171 |                 preds = settings.SITE_MODEL.predict(image)
172 |             results = imagenet_utils.decode_predictions(preds,top=top)
173 |             data["predictions"] = []
174 | 
175 |             # loop over the results and add them to the list of
176 |             # returned predictions
177 |             for (imagenetID, label, prob) in results[0]:
178 |                 r = {"label": label, "probability": float(prob)}
179 |                 data["predictions"].append(r)
180 | 
181 |             # indicate that the request was a success
182 |             data["success"] = True
183 | 
184 |     # return the data dictionary as a JSON response
185 |     return HttpResponse(json.dumps(data), content_type='application/json')
186 | 
187 | 
188 | # InceptionResNetV2
189 | def predict_InceptionResNetV2(request):
190 |     try:
191 |         load_InceptionResNetV2_model()
192 |     except:
193 |         pass
194 |     finally:
195 |         return render(request, 'predict_InceptionResNetV2.html')
196 | 
197 | 
198 | def load_InceptionResNetV2_model():
199 |     # # InceptionResNetV2 Model 299x299
200 |     settings.SITE_MODEL = InceptionResNetV2(weights="imagenet")
201 |     settings.SITE_GRAPH = tf.get_default_graph()
202 | 
203 | 
204 | @csrf_exempt
205 | def predict_InceptionResNetV2_request(request):
206 | 
207 |     # initialize the data dictionary that will be returned from the view
208 |     data = {"success": False}
209 | 
210 |     # ensure an image was properly uploaded to our endpoint
211 |     if request.method == 'POST':
212 | 
213 |         top = request.POST.get("top")
214 | 
215 |         if request.FILES.get("image"):
216 |             # read the image in PIL format
217 |             image = request.FILES["image"].read()
218 |             image = Image.open(io.BytesIO(image))
219 | 
220 |             if top:
221 |                 top = int(top)
222 |             else:
223 |                 top = 6
224 | 
225 |             # preprocess the image and prepare it for classification
226 |             # choice a format which the model use
227 |             image = prepare_image(image, target=(299, 299))/255
228 | 
229 |             # classify the input image and then initialize the list
230 |             # of predictions to return to the client
231 |             with settings.SITE_GRAPH.as_default():
232 |                 preds = settings.SITE_MODEL.predict(image)
233 |             results = imagenet_utils.decode_predictions(preds,top=top)
234 |             data["predictions"] = []
235 | 
236 |             # loop over the results and add them to the list of
237 |             # returned predictions
238 |             for (imagenetID, label, prob) in results[0]:
239 |                 r = {"label": label, "probability": float(prob)}
240 |                 data["predictions"].append(r)
241 | 
242 |             # indicate that the request was a success
243 |             data["success"] = True
244 | 
245 |     # return the data dictionary as a JSON response
246 |     return HttpResponse(json.dumps(data), content_type='application/json')
247 | 
248 | 
249 | #  MobileNetV2
250 | def predict_MobileNetV2(request):
251 |     try:
252 |         load_MobileNetV2_model()
253 |     except:
254 |         pass
255 |     finally:
256 |         return render(request, 'predict_MobileNetV2.html')
257 | 
258 | 
259 | def load_MobileNetV2_model():
260 |     # MobileNetV2 Model 224x224
261 |     settings.SITE_MODEL = MobileNetV2(weights="imagenet")
262 |         # # ResNet50 Model 224x224
263 |     # settings.SITE_MODEL = ResNet50(weights="imagenet")
264 |     settings.SITE_GRAPH = tf.get_default_graph()
265 | 
266 | 
267 | @csrf_exempt
268 | def predict_MobileNetV2_request(request):
269 | 
270 |     # initialize the data dictionary that will be returned from the view
271 |     data = {"success": False}
272 | 
273 |     # ensure an image was properly uploaded to our endpoint
274 |     if request.method == 'POST':
275 | 
276 |         top = request.POST.get("top")
277 | 
278 |         if request.FILES.get("image"):
279 |             # read the image in PIL format
280 |             image = request.FILES["image"].read()
281 |             image = Image.open(io.BytesIO(image))
282 | 
283 |             if top:
284 |                 top = int(top)
285 |             else:
286 |                 top = 6
287 | 
288 |             # preprocess the image and prepare it for classification
289 |             # choice a format which the model use
290 |             image = prepare_image(image, target=(224, 224))/255
291 | 
292 |             # classify the input image and then initialize the list
293 |             # of predictions to return to the client
294 |             with settings.SITE_GRAPH.as_default():
295 |                 preds = settings.SITE_MODEL.predict(image)
296 |             results = imagenet_utils.decode_predictions(preds,top=top)
297 |             data["predictions"] = []
298 | 
299 |             # loop over the results and add them to the list of
300 |             # returned predictions
301 |             for (imagenetID, label, prob) in results[0]:
302 |                 r = {"label": label, "probability": float(prob)}
303 |                 data["predictions"].append(r)
304 | 
305 |             # indicate that the request was a success
306 |             data["success"] = True
307 | 
308 |     # return the data dictionary as a JSON response
309 |     return HttpResponse(json.dumps(data), content_type='application/json')
310 | 
311 | 
312 | #  Xception
313 | def predict_Xception(request):
314 |     try:
315 |         load_Xception_model()
316 |     except:
317 |         pass
318 |     finally:
319 |         return render(request, 'predict_Xception.html')
320 | 
321 | 
322 | def load_Xception_model():
323 |     # # Xception Model 299x299
324 |     settings.SITE_MODEL = Xception(weights="imagenet")
325 |     settings.SITE_GRAPH = tf.get_default_graph()
326 | 
327 | 
328 | @csrf_exempt
329 | def predict_Xception_request(request):
330 | 
331 |     # initialize the data dictionary that will be returned from the view
332 |     data = {"success": False}
333 | 
334 |     # ensure an image was properly uploaded to our endpoint
335 |     if request.method == 'POST':
336 | 
337 |         top = request.POST.get("top")
338 | 
339 |         if request.FILES.get("image"):
340 |             # read the image in PIL format
341 |             image = request.FILES["image"].read()
342 |             image = Image.open(io.BytesIO(image))
343 | 
344 |             if top:
345 |                 top = int(top)
346 |             else:
347 |                 top = 6
348 | 
349 |             # preprocess the image and prepare it for classification
350 |             # choice a format which the model use
351 |             image = prepare_image(image, target=(299, 299))/255
352 | 
353 |             # classify the input image and then initialize the list
354 |             # of predictions to return to the client
355 |             with settings.SITE_GRAPH.as_default():
356 |                 preds = settings.SITE_MODEL.predict(image)
357 |             results = imagenet_utils.decode_predictions(preds,top=top)
358 |             data["predictions"] = []
359 | 
360 |             # loop over the results and add them to the list of
361 |             # returned predictions
362 |             for (imagenetID, label, prob) in results[0]:
363 |                 r = {"label": label, "probability": float(prob)}
364 |                 data["predictions"].append(r)
365 | 
366 |             # indicate that the request was a success
367 |             data["success"] = True
368 | 
369 |     # return the data dictionary as a JSON response
370 |     return HttpResponse(json.dumps(data), content_type='application/json')
371 | 
372 | 
373 | #  VGG16
374 | def predict_VGG16(request):
375 |     try:
376 |         load_VGG16_model()
377 |     except:
378 |         pass
379 |     finally:
380 |         return render(request, 'predict_VGG16.html')
381 | 
382 | 
383 | def load_VGG16_model():
384 |     # # VGG16 Model 224x224
385 |     settings.SITE_MODEL = VGG16(weights="imagenet")
386 |     settings.SITE_GRAPH = tf.get_default_graph()
387 | 
388 | 
389 | @csrf_exempt
390 | def predict_VGG16_request(request):
391 | 
392 |     # initialize the data dictionary that will be returned from the view
393 |     data = {"success": False}
394 | 
395 |     # ensure an image was properly uploaded to our endpoint
396 |     if request.method == 'POST':
397 | 
398 |         top = request.POST.get("top")
399 | 
400 |         if request.FILES.get("image"):
401 |             # read the image in PIL format
402 |             image = request.FILES["image"].read()
403 |             image = Image.open(io.BytesIO(image))
404 | 
405 |             if top:
406 |                 top = int(top)
407 |             else:
408 |                 top = 6
409 | 
410 |             # preprocess the image and prepare it for classification
411 |             # choice a format which the model use
412 |             image = prepare_image(image, target=(224, 224))
413 | 
414 |             # classify the input image and then initialize the list
415 |             # of predictions to return to the client
416 |             with settings.SITE_GRAPH.as_default():
417 |                 preds = settings.SITE_MODEL.predict(image)
418 |             results = imagenet_utils.decode_predictions(preds,top=top)
419 |             data["predictions"] = []
420 | 
421 |             # loop over the results and add them to the list of
422 |             # returned predictions
423 |             for (imagenetID, label, prob) in results[0]:
424 |                 r = {"label": label, "probability": float(prob)}
425 |                 data["predictions"].append(r)
426 | 
427 |             # indicate that the request was a success
428 |             data["success"] = True
429 | 
430 |     # return the data dictionary as a JSON response
431 |     return HttpResponse(json.dumps(data), content_type='application/json')
432 | 
433 | 
434 | #  VGG19
435 | def predict_VGG19(request):
436 |     try:
437 |         load_VGG19_model()
438 |     except:
439 |         pass
440 |     finally:
441 |         return render(request, 'predict_VGG19.html')
442 | 
443 | 
444 | def load_VGG19_model():
445 |     # # VGG19 Model 224x224
446 |     settings.SITE_MODEL = VGG19(weights="imagenet")
447 |     settings.SITE_GRAPH = tf.get_default_graph()
448 | 
449 | 
450 | @csrf_exempt
451 | def predict_VGG19_request(request):
452 | 
453 |     # initialize the data dictionary that will be returned from the view
454 |     data = {"success": False}
455 | 
456 |     # ensure an image was properly uploaded to our endpoint
457 |     if request.method == 'POST':
458 | 
459 |         top = request.POST.get("top")
460 | 
461 |         if request.FILES.get("image"):
462 |             # read the image in PIL format
463 |             image = request.FILES["image"].read()
464 |             image = Image.open(io.BytesIO(image))
465 | 
466 |             if top:
467 |                 top = int(top)
468 |             else:
469 |                 top = 6
470 |             # preprocess the image and prepare it for classification
471 |             # choice a format which the model use
472 |             image = prepare_image(image, target=(224, 224))
473 | 
474 |             # classify the input image and then initialize the list
475 |             # of predictions to return to the client
476 |             with settings.SITE_GRAPH.as_default():
477 |                 preds = settings.SITE_MODEL.predict(image)
478 |             results = imagenet_utils.decode_predictions(preds, top=top)
479 |             data["predictions"] = []
480 | 
481 |             # loop over the results and add them to the list of
482 |             # returned predictions
483 |             for (imagenetID, label, prob) in results[0]:
484 |                 r = {"label": label, "probability": float(prob)}
485 |                 data["predictions"].append(r)
486 | 
487 |             # indicate that the request was a success
488 |             data["success"] = True
489 | 
490 |     # return the data dictionary as a JSON response
491 |     return HttpResponse(json.dumps(data), content_type='application/json')
492 | 
493 | 
494 | #  DenseNet121
495 | def predict_DenseNet121(request):
496 |     try:
497 |         load_DenseNet121_model()
498 |     except:
499 |         pass
500 |     finally:
501 |         return render(request, 'predict_DenseNet121.html')
502 | 
503 | 
504 | def load_DenseNet121_model():
505 |     # # DenseNet121 Model 224x224
506 |     settings.SITE_MODEL = DenseNet121(weights="imagenet")
507 |     settings.SITE_GRAPH = tf.get_default_graph()
508 | 
509 | 
510 | @csrf_exempt
511 | def predict_DenseNet121_request(request):
512 | 
513 |     # initialize the data dictionary that will be returned from the view
514 |     data = {"success": False}
515 | 
516 |     # ensure an image was properly uploaded to our endpoint
517 |     if request.method == 'POST':
518 | 
519 |         top = request.POST.get("top")
520 | 
521 |         if request.FILES.get("image"):
522 |             # read the image in PIL format
523 |             image = request.FILES["image"].read()
524 |             image = Image.open(io.BytesIO(image))
525 | 
526 |             if top:
527 |                 top = int(top)
528 |             else:
529 |                 top = 6
530 | 
531 |             # preprocess the image and prepare it for classification
532 |             # choice a format which the model use
533 |             image = prepare_image(image, target=(224, 224))/255
534 | 
535 |             # classify the input image and then initialize the list
536 |             # of predictions to return to the client
537 |             with settings.SITE_GRAPH.as_default():
538 |                 preds = settings.SITE_MODEL.predict(image)
539 |             results = imagenet_utils.decode_predictions(preds, top=top)
540 |             data["predictions"] = []
541 | 
542 |             # loop over the results and add them to the list of
543 |             # returned predictions
544 |             for (imagenetID, label, prob) in results[0]:
545 |                 r = {"label": label, "probability": float(prob)}
546 |                 data["predictions"].append(r)
547 | 
548 |             # indicate that the request was a success
549 |             data["success"] = True
550 | 
551 |     # return the data dictionary as a JSON response
552 |     return HttpResponse(json.dumps(data), content_type='application/json')
553 | 
554 | 
555 | #  DenseNet169
556 | def predict_DenseNet169(request):
557 |     try:
558 |         load_DenseNet169_model()
559 |     except:
560 |         pass
561 |     finally:
562 |         return render(request, 'predict_DenseNet169.html')
563 | 
564 | 
565 | def load_DenseNet169_model():
566 |     # # DenseNet169 Model 224x224
567 |     settings.SITE_MODEL = DenseNet169(weights="imagenet")
568 |     settings.SITE_GRAPH = tf.get_default_graph()
569 | 
570 | 
571 | @csrf_exempt
572 | def predict_DenseNet169_request(request):
573 | 
574 |     # initialize the data dictionary that will be returned from the view
575 |     data = {"success": False}
576 | 
577 |     # ensure an image was properly uploaded to our endpoint
578 |     if request.method == 'POST':
579 | 
580 |         top = request.POST.get("top")
581 | 
582 |         if request.FILES.get("image"):
583 |             # read the image in PIL format
584 |             image = request.FILES["image"].read()
585 |             image = Image.open(io.BytesIO(image))
586 | 
587 |             if top:
588 |                 top = int(top)
589 |             else:
590 |                 top = 6
591 | 
592 |             # preprocess the image and prepare it for classification
593 |             # choice a format which the model use
594 |             image = prepare_image(image, target=(224, 224))/255
595 | 
596 |             # classify the input image and then initialize the list
597 |             # of predictions to return to the client
598 |             with settings.SITE_GRAPH.as_default():
599 |                 preds = settings.SITE_MODEL.predict(image)
600 |             results = imagenet_utils.decode_predictions(preds,top=top)
601 |             data["predictions"] = []
602 | 
603 |             # loop over the results and add them to the list of
604 |             # returned predictions
605 |             for (imagenetID, label, prob) in results[0]:
606 |                 r = {"label": label, "probability": float(prob)}
607 |                 data["predictions"].append(r)
608 | 
609 |             # indicate that the request was a success
610 |             data["success"] = True
611 | 
612 |     # return the data dictionary as a JSON response
613 |     return HttpResponse(json.dumps(data), content_type='application/json')
614 | 
615 | 
616 | #  DenseNet201
617 | def predict_DenseNet201(request):
618 |     try:
619 |         load_DenseNet201_model()
620 |     except:
621 |         pass
622 |     finally:
623 |         return render(request, 'predict_DenseNet201.html')
624 | 
625 | 
626 | def load_DenseNet201_model():
627 |     # # DenseNet201 Model 224x224
628 |     settings.SITE_MODEL = DenseNet201(weights="imagenet")
629 |     settings.SITE_GRAPH = tf.get_default_graph()
630 | 
631 | 
632 | @csrf_exempt
633 | def predict_DenseNet201_request(request):
634 | 
635 |     # initialize the data dictionary that will be returned from the view
636 |     data = {"success": False}
637 | 
638 |     # ensure an image was properly uploaded to our endpoint
639 |     if request.method == 'POST':
640 | 
641 |         top = request.POST.get("top")
642 | 
643 |         if request.FILES.get("image"):
644 |             # read the image in PIL format
645 |             image = request.FILES["image"].read()
646 |             image = Image.open(io.BytesIO(image))
647 | 
648 |             if top:
649 |                 top = int(top)
650 |             else:
651 |                 top = 6
652 | 
653 |             # preprocess the image and prepare it for classification
654 |             # choice a format which the model use
655 |             image = prepare_image(image, target=(224, 224))/255
656 | 
657 |             # classify the input image and then initialize the list
658 |             # of predictions to return to the client
659 |             with settings.SITE_GRAPH.as_default():
660 |                 preds = settings.SITE_MODEL.predict(image)
661 |             results = imagenet_utils.decode_predictions(preds,top=top)
662 |             data["predictions"] = []
663 | 
664 |             # loop over the results and add them to the list of
665 |             # returned predictions
666 |             for (imagenetID, label, prob) in results[0]:
667 |                 r = {"label": label, "probability": float(prob)}
668 |                 data["predictions"].append(r)
669 | 
670 |             # indicate that the request was a success
671 |             data["success"] = True
672 | 
673 |     # return the data dictionary as a JSON response
674 |     return HttpResponse(json.dumps(data), content_type='application/json')
675 | 
676 | 
677 | #  InceptionV3
678 | def predict_InceptionV3(request):
679 |     try:
680 |         load_InceptionV3_model()
681 |     except:
682 |         pass
683 |     finally:
684 |         return render(request, 'predict_InceptionV3.html')
685 | 
686 | 
687 | def load_InceptionV3_model():
688 |     # # InceptionV3 Model 299x299
689 |     settings.SITE_MODEL = InceptionV3(weights="imagenet")
690 |     settings.SITE_GRAPH = tf.get_default_graph()
691 | 
692 | 
693 | @csrf_exempt
694 | def predict_InceptionV3_request(request):
695 | 
696 |     # initialize the data dictionary that will be returned from the view
697 |     data = {"success": False}
698 | 
699 |     # ensure an image was properly uploaded to our endpoint
700 |     if request.method == 'POST':
701 | 
702 |         top = request.POST.get("top")
703 | 
704 |         if request.FILES.get("image"):
705 |             # read the image in PIL format
706 |             image = request.FILES["image"].read()
707 |             image = Image.open(io.BytesIO(image))
708 | 
709 |             if top:
710 |                 top = int(top)
711 |             else:
712 |                 top = 6
713 | 
714 |             # preprocess the image and prepare it for classification
715 |             # choice a format which the model use
716 |             image = prepare_image(image, target=(299, 299))/255
717 | 
718 |             # classify the input image and then initialize the list
719 |             # of predictions to return to the client
720 |             with settings.SITE_GRAPH.as_default():
721 |                 preds = settings.SITE_MODEL.predict(image)
722 |             results = imagenet_utils.decode_predictions(preds,top=top)
723 |             data["predictions"] = []
724 | 
725 |             # loop over the results and add them to the list of
726 |             # returned predictions
727 |             for (imagenetID, label, prob) in results[0]:
728 |                 r = {"label": label, "probability": float(prob)}
729 |                 data["predictions"].append(r)
730 | 
731 |             # indicate that the request was a success
732 |             data["success"] = True
733 | 
734 |     # return the data dictionary as a JSON response
735 |     return HttpResponse(json.dumps(data), content_type='application/json')
736 | 
737 | 
738 | #  NASNetMobile
739 | def predict_NASNetMobile(request):
740 |     try:
741 |         load_NASNetMobile_model()
742 |     except:
743 |         pass
744 |     finally:
745 |         return render(request, 'predict_NASNetMobile.html')
746 | 
747 | 
748 | def load_NASNetMobile_model():
749 | 
750 |     # # NASNetMobile Model 224x224
751 |     settings.SITE_MODEL = NASNetMobile(weights="imagenet")
752 |     settings.SITE_GRAPH = tf.get_default_graph()
753 | 
754 | 
755 | @csrf_exempt
756 | def predict_NASNetMobile_request(request):
757 | 
758 |     # initialize the data dictionary that will be returned from the view
759 |     data = {"success": False}
760 | 
761 |     # ensure an image was properly uploaded to our endpoint
762 |     if request.method == 'POST':
763 | 
764 |         top = request.POST.get("top")
765 | 
766 |         if request.FILES.get("image"):
767 |             # read the image in PIL format
768 |             image = request.FILES["image"].read()
769 |             image = Image.open(io.BytesIO(image))
770 | 
771 |             if top:
772 |                 top = int(top)
773 |             else:
774 |                 top = 6
775 | 
776 |             # preprocess the image and prepare it for classification
777 |             # choice a format which the model use
778 |             image = prepare_image(image, target=(224, 224))/255
779 | 
780 |             # classify the input image and then initialize the list
781 |             # of predictions to return to the client
782 |             with settings.SITE_GRAPH.as_default():
783 |                 preds = settings.SITE_MODEL.predict(image)
784 |             results = imagenet_utils.decode_predictions(preds,top=top)
785 |             data["predictions"] = []
786 | 
787 |             # loop over the results and add them to the list of
788 |             # returned predictions
789 |             for (imagenetID, label, prob) in results[0]:
790 |                 r = {"label": label, "probability": float(prob)}
791 |                 data["predictions"].append(r)
792 | 
793 |             # indicate that the request was a success
794 |             data["success"] = True
795 | 
796 |     # return the data dictionary as a JSON response
797 |     return HttpResponse(json.dumps(data), content_type='application/json')
798 | 
799 | 
800 | #  NASNetLarge
801 | def predict_NASNetLarge(request):
802 |     try:
803 |         load_NASNetLarge_model()
804 |     except:
805 |         pass
806 |     finally:
807 |         return render(request, 'predict_NASNetLarge.html')
808 | 
809 | 
810 | def load_NASNetLarge_model():
811 | 
812 |     # # NASNetLarge Model 331x331
813 |     settings.SITE_MODEL = NASNetLarge(weights="imagenet")
814 |     settings.SITE_GRAPH = tf.get_default_graph()
815 | 
816 | 
817 | @csrf_exempt
818 | def predict_NASNetLarge_request(request):
819 | 
820 |     # initialize the data dictionary that will be returned from the view
821 |     data = {"success": False}
822 | 
823 |     # ensure an image was properly uploaded to our endpoint
824 |     if request.method == 'POST':
825 | 
826 |         top = request.POST.get("top")
827 | 
828 |         if request.FILES.get("image"):
829 |             # read the image in PIL format
830 |             image = request.FILES["image"].read()
831 |             image = Image.open(io.BytesIO(image))
832 | 
833 |             if top:
834 |                 top = int(top)
835 |             else:
836 |                 top = 6
837 | 
838 |             # preprocess the image and prepare it for classification
839 |             # choice a format which the model use
840 |             image = prepare_image(image, target=(331, 331))/100
841 | 
842 |             # classify the input image and then initialize the list
843 |             # of predictions to return to the client
844 |             with settings.SITE_GRAPH.as_default():
845 |                 preds = settings.SITE_MODEL.predict(image)
846 |             results = imagenet_utils.decode_predictions(preds,top=top)
847 |             data["predictions"] = []
848 | 
849 |             # loop over the results and add them to the list of
850 |             # returned predictions
851 |             for (imagenetID, label, prob) in results[0]:
852 |                 r = {"label": label, "probability": float(prob)}
853 |                 data["predictions"].append(r)
854 | 
855 |             # indicate that the request was a success
856 |             data["success"] = True
857 | 
858 |     # return the data dictionary as a JSON response
859 |     return HttpResponse(json.dumps(data), content_type='application/json')
860 | 


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/apps/qrcreate/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/qrcreate/__init__.py


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/apps/qrcreate/admin.py:
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1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/qrcreate/apps.py:
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1 | from django.apps import AppConfig
2 | 
3 | 
4 | class QrcreateConfig(AppConfig):
5 |     name = 'apps.qrcreate'
6 | 


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/apps/qrcreate/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/qrcreate/migrations/__init__.py


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/apps/qrcreate/models.py:
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1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


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/apps/qrcreate/tests.py:
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1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


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/apps/qrcreate/views.py:
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 1 | from django.shortcuts import render
 2 | from django.http import HttpResponse
 3 | import qrcode
 4 | from io import BytesIO
 5 | 
 6 | 
 7 | def generate_qrcode(request, data):
 8 |     img = qrcode.make(data)
 9 | 
10 |     buf = BytesIO()
11 |     img.save(buf)
12 |     image_stream = buf.getvalue()
13 | 
14 |     response = HttpResponse(image_stream, content_type="image/png")
15 |     return response
16 | 
17 | 


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/apps/tenc_ai/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/tenc_ai/__init__.py


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/apps/tenc_ai/admin.py:
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1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/apps/tenc_ai/apps.py:
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1 | from django.apps import AppConfig
2 | 
3 | 
4 | class TencAiConfig(AppConfig):
5 |     name = 'apps.tenc_ai'
6 | 


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/apps/tenc_ai/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/apps/tenc_ai/migrations/__init__.py


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/apps/tenc_ai/models.py:
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1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


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/apps/tenc_ai/templates/tenc_ai.html:
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 1 | {% extends "theme.html" %}
 2 | {% load static %}
 3 | 
 4 | {% block content %}
 5 |   <h1>This is ai</h1>
 6 |   <form method="post" action="">
 7 |   {%csrf_token%}
 8 |   <input name="text" type="text" value="今天天气不错" />
 9 |   <input name="text1" type="text" value="你好呀" />
10 |   <input name="submit" type="submit" value="提交" />
11 |   </form>
12 | 
13 |   </form>
14 | {#  {% for k,v in r.json %}#}
15 | {#    <h1>{{ k }}</h1>#}
16 | {#    <h1>{{ v }}</h1>#}
17 | {#  {% endfor %}#}
18 | {% endblock content %}


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/apps/tenc_ai/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


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/apps/tenc_ai/views.py:
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 1 | from django.shortcuts import render
 2 | from django.http import HttpResponse
 3 | import requests
 4 | import AI.settings as config
 5 | import hashlib
 6 | import time
 7 | import random
 8 | import string
 9 | from urllib.parse import quote
10 | import requests
11 | 
12 | 
13 | def tenc_ai(request):
14 |     get_sentiments(request)
15 |     get_content(request)
16 |     return render(request, 'tenc_ai.html')
17 | 
18 | 
19 | def curlmd5(src):
20 |     m = hashlib.md5(src.encode('UTF-8'))
21 |     return m.hexdigest().upper()
22 | 
23 | 
24 | def get_params2(plus_item):
25 |     global params
26 |     t = time.time()
27 |     time_stamp=str(int(t))
28 |     nonce_str = ''.join(random.sample(string.ascii_letters + string.digits, 10))
29 |     app_id='2111918951'
30 |     app_key='oGryHSSYbDTnvCSJ'
31 |     params = {'app_id': app_id,
32 |               'text': plus_item,
33 |               'time_stamp': time_stamp,
34 |               'nonce_str': nonce_str,
35 |              }
36 |     sign_before = ''
37 |     for key in sorted(params):
38 |         sign_before += '{}={}&'.format(key,quote(params[key], safe=''))
39 |     sign_before += 'app_key={}'.format(app_key)
40 |     sign = curlmd5(sign_before)
41 |     params['sign'] = sign
42 |     return params
43 | 
44 | 
45 | def get_params1(plus_item):
46 |     global params
47 |     t = time.time()
48 |     time_stamp = str(int(t))
49 |     nonce_str = ''.join(random.sample(string.ascii_letters + string.digits, 10))
50 |     app_id = '2111918951'
51 |     app_key = 'oGryHSSYbDTnvCSJ'
52 |     params = {'app_id': app_id,
53 |               'question': plus_item,
54 |               'time_stamp': time_stamp,
55 |               'nonce_str': nonce_str,
56 |               'session': '10000'
57 |               }
58 |     sign_before = ''
59 |     for key in sorted(params):
60 |         sign_before += '{}={}&'.format(key, quote(params[key], safe=''))
61 |     sign_before += 'app_key={}'.format(app_key)
62 |     sign = curlmd5(sign_before)
63 |     params['sign'] = sign
64 |     return params
65 | 
66 | 
67 | def get_content(plus_item):
68 |     global payload, r
69 |     url = "https://api.ai.qq.com/fcgi-bin/nlp/nlp_textchat"
70 |     plus_item = plus_item.POST.get('text1', None)
71 |     plus_item = plus_item.encode('utf-8')
72 |     payload = get_params1(plus_item)
73 |     # r = requests.get(url,params=payload)  
74 |     r = requests.post(url, data=payload)
75 |     print(r.json()["data"]["answer"])
76 | 
77 | 
78 | def get_sentiments(request):
79 |     if request.POST:
80 |          print('Having submit')
81 |     url = "https://api.ai.qq.com/fcgi-bin/nlp/nlp_textpolar"
82 |     comments = request.POST.get('text', None)
83 |     comments = comments.encode('utf-8')
84 |     payload = get_params2(comments)
85 |     r = requests.post(url,data=payload)
86 |     print(r.json())
87 |     # return render(request, 'tenc_ai.html')
88 | 
89 | 


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/db.sqlite3:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/db.sqlite3


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/dockerfile:
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 1 | FROM python:3.6
 2 | RUN mkdir -p /usr/src/app
 3 | WORKDIR /usr/src/app
 4 | COPY pip.conf /root/.pip/pip.conf
 5 | COPY requirements.txt /usr/src/app/
 6 | RUN pip install -r /usr/src/app/requirements.txt
 7 | RUN rm -rf /usr/src/app
 8 | COPY . /usr/src/app
 9 | RUN python manage.py makemigrations
10 | RUN python manage.py migrate
11 | RUN python manage.py collectstatic
12 | CMD [ "python", "./manage.py", "runserver", "0.0.0.0:8000"]
13 | 


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/functional_tests/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/__init__.py


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/functional_tests/images/Gesture7.jpg:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/images/Gesture7.jpg


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/functional_tests/images/campare1.jpg:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/images/campare1.jpg


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/functional_tests/images/campare2.jpg:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/images/campare2.jpg


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/functional_tests/images/card3.png:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/images/card3.png


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/functional_tests/images/fox.jpg:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/images/fox.jpg


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/functional_tests/images/panda0.jpg:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/functional_tests/images/panda0.jpg


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/functional_tests/tests.py:
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  1 | from django.test import LiveServerTestCase
  2 | from selenium import webdriver
  3 | from selenium.webdriver.chrome.options import Options
  4 | import unittest
  5 | import time
  6 | import os
  7 | 
  8 | 
  9 | class TestCase(LiveServerTestCase):
 10 |     def setUp(self):
 11 |         chrome_options = Options()
 12 |         chrome_options.add_argument('--headless')
 13 |         chrome_options.add_argument('--disable-gpu')
 14 | #         self.driver = webdriver.Chrome(chrome_options=chrome_options)
 15 |         self.driver = webdriver.Chrome()
 16 |         self.driver.implicitly_wait(30)
 17 |         self.base_url = self.live_server_url
 18 | 
 19 |     def test_include_items(self):
 20 |         self.driver.get(self.base_url)
 21 |         items = ['Face Comparison', 'Bank Card Detection', ' Objects Prediction', 'Gesture Detection']
 22 |         self.assertIn('然小狼 | ranxiaolang', self.driver.title)
 23 |         product = self.driver.find_elements_by_xpath('/html/body/main/section[1]/p[1]')
 24 |         for item in items:
 25 |             self.assertIn(item, product[0].text)
 26 | 
 27 |     def test_gesture_detection(self):
 28 |         self.driver.get(self.base_url)
 29 |         self.driver.find_element_by_xpath('/html/body/main/section[1]/p[1]/a[4]').click()
 30 |         self.driver.find_element_by_name("image_file").send_keys(os.path.abspath('.') + '/functional_tests/images/Gesture7.jpg')
 31 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 32 |         time.sleep(5)
 33 |         gesture_res = self.driver.find_element_by_xpath('//*[@id="showgesture"]')
 34 |         self.assertIn('Gesture: Hand open', gesture_res.text)
 35 | 
 36 |     def test_bank_card_detection(self):
 37 |         self.driver.get(self.base_url)
 38 |         self.driver.find_element_by_xpath('/html/body/main/section[1]/p[1]/a[2]').click()
 39 |         self.driver.find_element_by_name("image_file").send_keys(os.path.abspath('.') + '/functional_tests/images/card3.png')
 40 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 41 |         time.sleep(5)
 42 |         bank_card_res = self.driver.find_element_by_xpath('//*[@id="shownumber"]')
 43 |         self.assertIn('Card number: 4000123456789123', bank_card_res.text)
 44 | 
 45 |     def test_face_compare_detection(self):
 46 |         self.driver.get(self.base_url)
 47 |         self.driver.find_element_by_xpath('/html/body/main/section[1]/p[1]/a[1]').click()
 48 |         self.driver.find_element_by_name("image_file1").send_keys(os.path.abspath('.') + '/functional_tests/images/campare1.jpg')
 49 |         self.driver.find_element_by_name("image_file2").send_keys(os.path.abspath('.') + '/functional_tests/images/campare2.jpg')
 50 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 51 |         time.sleep(5)
 52 |         face_compare_res = self.driver.find_element_by_xpath('//*[@id="showconfidence"]')
 53 |         self.assertIn('Similarity：85', face_compare_res.text)
 54 | 
 55 |     def test_identification_detection(self):
 56 |         self.driver.get(self.base_url+'/predict/')
 57 |         time.sleep(10)
 58 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/fox.jpg')
 59 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 60 |         time.sleep(5)
 61 |         r50_res_1 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
 62 |         self.assertIn('Prediction: red_fox', r50_res_1.text)
 63 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/panda0.jpg')
 64 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 65 |         time.sleep(5)
 66 |         r50_res_2 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
 67 |         self.assertIn('Prediction: giant_panda', r50_res_2.text)
 68 | 
 69 |         self.driver.get(self.base_url+'/predict_MobileNet/')
 70 |         time.sleep(10)
 71 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/fox.jpg')
 72 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 73 |         time.sleep(5)
 74 |         mn_res_1 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
 75 |         self.assertIn('Prediction: red_fox', mn_res_1.text)
 76 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/panda0.jpg')
 77 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 78 |         time.sleep(5)
 79 |         mn_res_2 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
 80 |         self.assertIn('Prediction: giant_panda', mn_res_2.text)
 81 | 
 82 |         self.driver.get(self.base_url+'/predict_MobileNetV2/')
 83 |         time.sleep(10)
 84 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/fox.jpg')
 85 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 86 |         time.sleep(5)
 87 |         mn2_res_1 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
 88 |         self.assertIn('Prediction: grey_fox', mn2_res_1.text)
 89 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/panda0.jpg')
 90 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 91 |         time.sleep(5)
 92 |         mn2_res_2 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
 93 |         self.assertIn('Prediction: giant_panda', mn2_res_2.text)
 94 | 
 95 |         self.driver.get(self.base_url+'/predict_Xception/')
 96 |         time.sleep(10)
 97 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/fox.jpg')
 98 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
 99 |         time.sleep(5)
100 |         mn2_res_1 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
101 |         self.assertIn('Prediction: grey_fox', mn2_res_1.text)
102 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/panda0.jpg')
103 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
104 |         time.sleep(5)
105 |         mn2_res_2 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
106 |         self.assertIn('Prediction: giant_panda', mn2_res_2.text)
107 | 
108 |         self.driver.get(self.base_url+'/predict_VGG16/')
109 |         time.sleep(10)
110 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/fox.jpg')
111 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
112 |         time.sleep(5)
113 |         vgg16_res_1 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
114 |         self.assertIn('Prediction: red_fox', vgg16_res_1.text)
115 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images//panda0.jpg')
116 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
117 |         time.sleep(5)
118 |         vgg16_res_2 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
119 |         self.assertIn('Prediction: giant_panda', vgg16_res_2.text)
120 | 
121 |         self.driver.get(self.base_url+'/predict_VGG19/')
122 |         time.sleep(10)
123 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/fox.jpg')
124 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
125 |         time.sleep(5)
126 |         vgg19_res_1 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
127 |         self.assertIn('Prediction: red_fox', vgg19_res_1.text)
128 |         self.driver.find_element_by_name("image").send_keys(os.path.abspath('.') + '/functional_tests/images/panda0.jpg')
129 |         self.driver.find_element_by_xpath('//*[@id="app"]/div[1]/button').click()
130 |         time.sleep(5)
131 |         vgg19_res_2 = self.driver.find_element_by_xpath('//*[@id="showprediction"]')
132 |         self.assertIn('Prediction: giant_panda', vgg19_res_2.text)
133 | 
134 |     def tearDown(self):
135 |         self.driver.quit()
136 | 
137 | 
138 | if __name__ == '__main__':
139 |     # Test suite
140 |     suite = unittest.TestSuite()
141 |     suite.addTest(TestCase("test_include_items"))
142 |     suite.addTest(TestCase("test_gesture_detection"))
143 |     suite.addTest(TestCase("test_bank_card_detection"))
144 |     suite.addTest(TestCase("test_face_compare_detection"))
145 |     suite.addTest(TestCase("test_identification_detection"))
146 |     # Run test
147 |     runner = unittest.TextTestRunner()
148 |     runner.run(suite)
149 | 


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/gallery/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/gallery/__init__.py


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/gallery/admin.py:
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1 | from django.contrib import admin
2 | from .models import Gallery
3 | 
4 | # Register your models here.
5 | 
6 | admin.site.register(Gallery)


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/gallery/apps.py:
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1 | from django.apps import AppConfig
2 | 
3 | 
4 | class GalleryConfig(AppConfig):
5 |     name = 'gallery'
6 | 


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/gallery/migrations/0001_initial.py:
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 1 | # Generated by Django 2.0.7 on 2018-07-29 07:32
 2 | 
 3 | from django.db import migrations, models
 4 | 
 5 | 
 6 | class Migration(migrations.Migration):
 7 | 
 8 |     initial = True
 9 | 
10 |     dependencies = [
11 |     ]
12 | 
13 |     operations = [
14 |         migrations.CreateModel(
15 |             name='Gallery',
16 |             fields=[
17 |                 ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
18 |                 ('description', models.CharField(max_length=100)),
19 |             ],
20 |         ),
21 |     ]
22 | 


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/gallery/migrations/0002_auto_20180729_1553.py:
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 1 | # Generated by Django 2.0.7 on 2018-07-29 07:53
 2 | 
 3 | from django.db import migrations, models
 4 | 
 5 | 
 6 | class Migration(migrations.Migration):
 7 | 
 8 |     dependencies = [
 9 |         ('gallery', '0001_initial'),
10 |     ]
11 | 
12 |     operations = [
13 |         migrations.AlterField(
14 |             model_name='gallery',
15 |             name='description',
16 |             field=models.CharField(default='在这里写作品的简介', max_length=100),
17 |         ),
18 |     ]
19 | 


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/gallery/migrations/0003_auto_20180729_1629.py:
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 1 | # Generated by Django 2.0.7 on 2018-07-29 08:29
 2 | 
 3 | from django.db import migrations, models
 4 | 
 5 | 
 6 | class Migration(migrations.Migration):
 7 | 
 8 |     dependencies = [
 9 |         ('gallery', '0002_auto_20180729_1553'),
10 |     ]
11 | 
12 |     operations = [
13 |         migrations.AddField(
14 |             model_name='gallery',
15 |             name='image',
16 |             field=models.ImageField(default='default.jpg', upload_to='images/'),
17 |         ),
18 |         migrations.AddField(
19 |             model_name='gallery',
20 |             name='title',
21 |             field=models.CharField(default='作品标题', max_length=100),
22 |         ),
23 |     ]
24 | 


--------------------------------------------------------------------------------
/gallery/migrations/0004_auto_20180729_1659.py:
--------------------------------------------------------------------------------
 1 | # Generated by Django 2.0.7 on 2018-07-29 08:59
 2 | 
 3 | from django.db import migrations, models
 4 | 
 5 | 
 6 | class Migration(migrations.Migration):
 7 | 
 8 |     dependencies = [
 9 |         ('gallery', '0003_auto_20180729_1629'),
10 |     ]
11 | 
12 |     operations = [
13 |         migrations.AlterField(
14 |             model_name='gallery',
15 |             name='description',
16 |             field=models.CharField(default='在这里写作品的简洁', max_length=100),
17 |         ),
18 |         migrations.AlterField(
19 |             model_name='gallery',
20 |             name='image',
21 |             field=models.ImageField(default='default.png', upload_to='images/'),
22 |         ),
23 |         migrations.AlterField(
24 |             model_name='gallery',
25 |             name='title',
26 |             field=models.CharField(default='作品标题', max_length=50),
27 |         ),
28 |     ]
29 | 


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/gallery/migrations/0005_auto_20180910_2056.py:
--------------------------------------------------------------------------------
 1 | # Generated by Django 2.1.1 on 2018-09-11 00:56
 2 | 
 3 | from django.db import migrations, models
 4 | 
 5 | 
 6 | class Migration(migrations.Migration):
 7 | 
 8 |     dependencies = [
 9 |         ('gallery', '0004_auto_20180729_1659'),
10 |     ]
11 | 
12 |     operations = [
13 |         migrations.AlterField(
14 |             model_name='gallery',
15 |             name='description',
16 |             field=models.CharField(default='填写简介', max_length=100),
17 |         ),
18 |     ]
19 | 


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/gallery/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/gallery/migrations/__init__.py


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/gallery/models.py:
--------------------------------------------------------------------------------
 1 | from django.db import models
 2 | 
 3 | # Create your models here.
 4 | 
 5 | 
 6 | class Gallery(models.Model):
 7 |     description = models.CharField(default='填写简介', max_length=100)
 8 |     title = models.CharField(default='作品标题', max_length=50)
 9 |     image = models.ImageField(default='default.png',upload_to='images/')
10 | 
11 |     def __str__(self):
12 |         return self.title
13 | 
14 | 
15 | 


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/gallery/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/gallery/views.py:
--------------------------------------------------------------------------------
1 | from django.shortcuts import render
2 | 
3 | # Create your views here.
4 | 


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/manage.py:
--------------------------------------------------------------------------------
 1 | #!/usr/bin/env python
 2 | import os
 3 | import sys
 4 | 
 5 | if __name__ == "__main__":
 6 |     os.environ.setdefault("DJANGO_SETTINGS_MODULE", "AI.settings")
 7 |     try:
 8 |         from django.core.management import execute_from_command_line
 9 |     except ImportError as exc:
10 |         raise ImportError(
11 |             "Couldn't import Django. Are you sure it's installed and "
12 |             "available on your PYTHONPATH environment variable? Did you "
13 |             "forget to activate a virtual environment?"
14 |         ) from exc
15 |     execute_from_command_line(sys.argv)
16 | 


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/media/default.jpg:
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/media/favicon.ico:
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/media/image/1.jpg:
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/myauth/__init__.py:
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/myauth/admin.py:
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1 | from django.contrib import admin
2 | 
3 | # Register your models here.
4 | 


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/myauth/apps.py:
--------------------------------------------------------------------------------
1 | from django.apps import AppConfig
2 | 
3 | 
4 | class MyauthConfig(AppConfig):
5 |     name = 'myauth'
6 | 


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/myauth/migrations/__init__.py:
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https://raw.githubusercontent.com/nature1995/AI-Image-classifiers-on-Django-with-RESTAPI/cc8568f6a599ac296fee86726572ceaa7df4099f/myauth/migrations/__init__.py


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/myauth/models.py:
--------------------------------------------------------------------------------
1 | from django.db import models
2 | 
3 | # Create your models here.
4 | 


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/myauth/templates/login.html:
--------------------------------------------------------------------------------
 1 | {% extends "theme.html" %}
 2 | 
 3 | {% block content %}
 4 | 
 5 | <div class="container ">
 6 |     <form class="form-signin" method="POST" action='{% url 'LoginPage' %}' align='center' >
 7 |     {% csrf_token %}
 8 |      <img class="mb-4 " src="{% static 'lego.svg' %}" alt="" width="72" height="72">
 9 |     <h1 class="h3 mb-3 font-weight-normal">Please login</h1>
10 |     <div class="container-fluid col-md-3">
11 |         <label for="inputUser" class="sr-only ">User name</label>
12 |         <input type="text" name="用户名" class="form-control" placeholder="User name" required autofocus >
13 |         <br>
14 |         <label for="inputPassword" class="sr-only">Password</label>
15 |         <input type="password" name="密码" class="form-control" placeholder="Password" required >
16 |         {{ Error }}
17 |         <div class="checkbox mb-3">
18 |         <label><input type="checkbox" value="remember-me"> Remember me</label>
19 |         </div>
20 |     <button class="btn btn-lg btn-dark btn-block" type="submit">Sign in</button>
21 |     </div>
22 |     </form>
23 | </div>
24 | 
25 | {% endblock content %}


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/myauth/templates/signup.html:
--------------------------------------------------------------------------------
 1 | {% extends "theme.html" %}
 2 | {% load static %}
 3 | 
 4 | {% block content %}
 5 | 
 6 | <div class="container ">
 7 |     <form class="form-signin" method="POST" action='{% url 'SignupPage' %}' align='center' >
 8 |     {% csrf_token %}
 9 |          <img class="mb-4 " src="{% static 'sign.svg' %}" alt="" width="72" height="72">
10 |         <h1 class="h3 mb-3 font-weight-normal">Please signup</h1>
11 |         <div class="container-fluid col-md-3">
12 |             <label for="inputUsername" class="sr-only ">User name</label>
13 |             <input type="text" name="用户名" class="form-control" placeholder="User name" required autofocus >
14 |             <br>
15 |             <label for="inputPassword" class="sr-only">Password</label>
16 |             <input type="password" name="密码" class="form-control" placeholder="Password" required >
17 |             <label for="inputPasswordAgain" class="sr-only">Password</label>
18 |             <input type="password" name="确认密码" class="form-control" placeholder="Password_Again" required >
19 |             {{  Username_error }}
20 |             {{  Pass_Wrong }}
21 |             <br>
22 |             <button class="btn btn-lg btn-dark btn-block" type="submit">Signup</button>
23 |          </div>
24 |     </form>
25 | </div>
26 | 
27 | {% endblock content %}


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/myauth/tests.py:
--------------------------------------------------------------------------------
1 | from django.test import TestCase
2 | 
3 | # Create your tests here.
4 | 


--------------------------------------------------------------------------------
/myauth/urls.py:
--------------------------------------------------------------------------------
 1 | from django.urls import path
 2 | from . import views
 3 | 
 4 | 
 5 | urlpatterns = [
 6 |     path('signup/', views.signup, name='SignupPage'),
 7 |     path('login/', views.login, name='LoginPage'),
 8 |     path('logout/', views.logout, name='LogoutPage'),
 9 | 
10 | ]
11 | 


--------------------------------------------------------------------------------
/myauth/views.py:
--------------------------------------------------------------------------------
 1 | from django.shortcuts import render
 2 | 
 3 | # Create your views here.
 4 | 
 5 | from django.shortcuts import render, redirect
 6 | from django.contrib.auth.models import User
 7 | from django.contrib import auth
 8 | 
 9 | 
10 | # Create your views here.
11 | 
12 | def signup(request):
13 |     if request.method == 'GET':
14 |         return render(request, 'myauth/../templates/signup.html')
15 |     elif request.method == 'POST':
16 |         user_name = request.POST['用户名']
17 |         password1 = request.POST['密码']
18 |         password2 = request.POST['确认密码']
19 |         try:
20 |             User.objects.get(username=user_name)
21 |             return render(request, 'myauth/../templates/signup.html', {'Username_error': 'The user already exists'})
22 |         except User.DoesNotExist:
23 |             if password1 == password2:
24 |                 User.objects.create_user(username=user_name, password=password1)
25 |                 return redirect('主页')
26 |             else:
27 |                 return render(request, 'myauth/../templates/signup.html', {'Pass_Wrong': 'Inconsistent entry password'})
28 | 
29 | 
30 | def login(request):
31 |     if request.method == 'GET':
32 |         return render(request, 'myauth/../templates/login.html')
33 |     elif request.method == 'POST':
34 |         user_name = request.POST['用户名']
35 |         pass_word = request.POST['密码']
36 |         user = auth.authenticate(username=user_name, password=pass_word)
37 |         if user is None:
38 |             return render(request, 'tmyauth/../templates/login.html', {'Error': 'Wrong user name or password'})
39 |         else:
40 |             auth.login(request, user)
41 |             return redirect('主页')
42 | 
43 | 
44 | def logout(request):
45 |     if request.method == 'POST':
46 |         auth.logout(request)
47 |         return redirect('主页')
48 | 
49 | 
50 | 
51 | 
52 | 
53 | 
54 | 
55 | 
56 | 
57 | 
58 | 


--------------------------------------------------------------------------------
/pip.conf:
--------------------------------------------------------------------------------
1 | [global]
2 | index-url = http://mirrors.aliyun.com/pypi/simple/
3 | [install]
4 | trusted-host=mirrors.aliyun.com
5 | 


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/requirements.txt:
--------------------------------------------------------------------------------
 1 | Django
 2 | django-allauth>=0.38.0
 3 | django-filter>=2.1.0
 4 | django-widget-tweaks>=1.4.3
 5 | djangorestframework>=3.9.1
 6 | django-extensions>=2.1.4
 7 | django-werkzeug-debugger-runserver>=0.3.1
 8 | lxml>=4.3.0
 9 | oauthlib>=3.0.1
10 | pydot>=1.3.0
11 | pyquery>=1.4.0
12 | pyzmq>=17.1.2
13 | qrcode>=6.1
14 | requests>=2.20.1
15 | requests-oauthlib>=1.2.0
16 | six>=1.11.0
17 | setuptools>=18.0.0
18 | tensorflow<=1.15.0
19 | Keras>=2.2.2
20 | Keras-Applications>=1.0.4
21 | Keras-Preprocessing>=1.0.2
22 | h5py>=2.8.0
23 | Pillow
24 | selenium
25 | 


--------------------------------------------------------------------------------
/run_tests.sh:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env bash
2 | # Run tests
3 | # python manage.py test functional_tests
4 | 
5 | # echo path
6 | echo `pwd`
7 | 
8 | # execute specified tests
9 | python `pwd`/functional_tests/*.py


--------------------------------------------------------------------------------
/templates/account/login.html:
--------------------------------------------------------------------------------
 1 | {% extends "theme.html" %}
 2 | 
 3 | {% load i18n %}
 4 | {% load account socialaccount %}
 5 | {% load widget_tweaks %}
 6 | 
 7 | {% block head_title %}{% trans "Sign In" %}{% endblock %}
 8 | 
 9 | {% block content %}
10 | 
11 | <h1 align="center">{% trans "Sign In" %}</h1>
12 | 
13 |     <div class="container-fluid col-md-5">
14 | 
15 |         <div class="container-fluid col-md-3" align="center">
16 |             <img class="mb-4 " src="{% static 'sign.svg' %}" alt="" width="72" height="72">
17 |         </div>
18 | 
19 |         {% get_providers as socialaccount_providers %}
20 | 
21 |         {% if socialaccount_providers %}
22 |         <p>{% blocktrans with site.name as site_name %}Please sign in with one
23 |         of your existing third party accounts. Or, <a href="{{ signup_url }}">sign up</a>
24 |         for a account and sign in below:{% endblocktrans %}</p>
25 | 
26 |          <ul class="socialaccount_providers">
27 |             {% include "socialaccount/snippets/provider_list.html" with process="login" %}
28 |          </ul>
29 |         <p>Login problem? <a href="http://ranxiaolang.com/accounts/login/">Please click here.</a></p>
30 |         <h4 align="left">{% trans "Or" %}</h4>
31 |     </div>
32 | 
33 |     <div class="container-fluid col-md-3">
34 |         {% include "socialaccount/snippets/login_extra.html" %}
35 | 
36 |         {% else %}
37 |         <p>{% blocktrans %}If you have not created an account yet, then please
38 |         <a href="{{ signup_url }}">sign up</a> first.{% endblocktrans %}</p>
39 |         {% endif %}
40 | 
41 |         <form class="login" method="POST" action="{% url 'account_login' %}">
42 |           {% csrf_token %}
43 |           {% include 'account/snippets/bs4_form.html' with form=form %}
44 |           {% if redirect_field_value %}
45 |           <input type="hidden" name="{{ redirect_field_name }}" value="{{ redirect_field_value }}" />
46 |           {% endif %}
47 |           <a class="button secondaryAction" href="{% url 'account_reset_password' %}">{% trans "Forgot Password?" %}</a>
48 |           <button class="btn btn-lg btn-dark btn-block" type="submit">{% trans "Sign In" %}</button>
49 |         </form>
50 |     </div>
51 | {% endblock %}


--------------------------------------------------------------------------------
/templates/account/signup.html:
--------------------------------------------------------------------------------
 1 | {% extends "theme.html" %}
 2 | 
 3 | {% load i18n %}
 4 | {% load widget_tweaks %}
 5 | 
 6 | {% block head_title %}{% trans "Signup" %}{% endblock %}
 7 | 
 8 | {% block content %}
 9 |   <h1 class="text-center">{% trans "Sign Up" %}</h1>
10 | 
11 |   <form class="signup" id="signup_form" method="post" action="{% url 'account_signup' %}">
12 |   {% csrf_token %}
13 |    <div class="container-fluid col-md-3" align="center">
14 |       <img class="mb-4 " src="{% static 'sign.svg' %}" alt="" width="72" height="72">
15 |    </div>
16 |   <div class="container-fluid col-md-3">
17 |     {% include 'account/snippets/bs4_form.html' with form=form %}
18 | 
19 |     {% if redirect_field_value %}
20 |     <input type="hidden" name="{{ redirect_field_name }}" value="{{ redirect_field_value }}" />
21 |     {% endif %}
22 |     <div class="checkbox mb-3">
23 |     <label><input type="checkbox" value="remember-me"> Remember me</label>
24 |     </div>
25 |   </div>
26 | 
27 | <p class="text-center">{% blocktrans %}Already have an account? Then please <a href="{{ login_url }}">sign in</a>.{% endblocktrans %}</p>
28 |   <div class="container-fluid col-md-3">
29 |     <div class="form-group">
30 |     <button type="submit" class="btn btn-lg btn-dark btn-block">{% trans "Sign Up" %}</button>
31 |     </div>
32 |   </div>
33 | </form>
34 | 
35 | {% endblock %}


--------------------------------------------------------------------------------
/templates/account/snippets/already_logged_in.html:
--------------------------------------------------------------------------------
1 | {% load i18n %}
2 | {% load account %}
3 | 
4 | {% user_display user as user_display %}
5 | <p><strong>{% trans "Note" %}:</strong> {% blocktrans %}you are already logged in as {{ user_display }}.{% endblocktrans %}</p>
6 | 


--------------------------------------------------------------------------------
/templates/account/snippets/bs4_form.html:
--------------------------------------------------------------------------------
 1 | {% load widget_tweaks %}
 2 | 
 3 | {% for hidden_field in form.hidden_fields %}
 4 |   {{ hidden_field }}
 5 | {% endfor %}
 6 | 
 7 | {% if form.non_field_errors %}
 8 |   <div class="alert alert-danger " role="alert">
 9 |     {% for error in form.non_field_errors %}
10 |       {{ error }}
11 |     {% endfor %}
12 |   </div>
13 | {% endif %}
14 | 
15 | {% for field in form.visible_fields %}
16 |   <div class="form-group">
17 |     {{ field.label_tag }}
18 | 
19 |     {% if form.is_bound %}
20 |       {% if field.errors %}
21 |         {% render_field field class="form-control is-invalid" %}
22 |         {% for error in field.errors %}
23 |           <div class="invalid-feedback" >
24 |             {{ error }}
25 |           </div>
26 |         {% endfor %}
27 |       {% else %}
28 |         {% render_field field class="form-control is-valid" %}
29 |       {% endif %}
30 |     {% else %}
31 |       {% render_field field class="form-control" %}
32 |     {% endif %}
33 | 
34 |     {% if field.help_text %}
35 |       <small class="form-text text-muted">{{ field.help_text }}</small>
36 |     {% endif %}
37 |   </div>
38 | {% endfor %}


--------------------------------------------------------------------------------
/templates/base_api.html:
--------------------------------------------------------------------------------
 1 | {% extends "theme.html" %}
 2 | {% load static %}
 3 | 
 4 | {% block style %}
 5 |   <style>
 6 |       #app {
 7 |           font-family: 'Avenir', Helvetica, Arial, sans-serif;
 8 |           -webkit-font-smoothing: antialiased;
 9 |           -moz-osx-font-smoothing: grayscale;
10 |           text-align: center;
11 |           color: #2c3e50;
12 |       }
13 |       div.showImage{
14 |           width: 1080px;
15 |           margin: 20px auto;
16 |           text-align: center;
17 |       }
18 |       div.showImage::after{
19 |           content: '';
20 |           display: block;
21 |           clear: both;
22 |       }
23 |       div.showImage > button{
24 |           margin-top: 280px;
25 |       }
26 |       #img1{
27 |           width: 100%;
28 |           height: 400px;
29 |           float: left;
30 |       }
31 |       #img2{
32 |           width: 350px;
33 |           height: 600px;
34 |           float: right;
35 |       }
36 |       #faceform{
37 |           text-align: center;
38 |       }
39 |       .col-center-block {
40 |         float: none;
41 |         display: block;
42 |         margin-left: auto;
43 |         margin-right: auto;
44 |       }
45 |   </style>
46 | {% endblock style %}
47 | 
48 | {% block content %}
49 | 
50 | {% endblock content %}
51 | 
52 | 


--------------------------------------------------------------------------------
/templates/base_predict.html:
--------------------------------------------------------------------------------
  1 | {% extends "theme.html" %}
  2 | 
  3 | {% block style %}
  4 |   <style>
  5 |       #app {
  6 |           font-family: 'Avenir', Helvetica, Arial, sans-serif;
  7 |           -webkit-font-smoothing: antialiased;
  8 |           -moz-osx-font-smoothing: grayscale;
  9 |           text-align: center;
 10 |           color: #2c3e50;
 11 |       }
 12 |       div.showImage > button{
 13 |           margin-top: 280px;
 14 |       }
 15 |       #img1{
 16 |           width: 800px ;
 17 |           height: 350px ;
 18 |           text-align: center;
 19 |       }
 20 |       #faceform{
 21 |           text-align: center;
 22 |       }
 23 |       .col-center-block {
 24 |         float: none;
 25 |         display: block;
 26 |         margin-left: auto;
 27 |         margin-right: auto;
 28 |       }
 29 |       .img-responsive {
 30 |         display: block;
 31 |         height: auto;
 32 |         max-width: 100%;
 33 |       }
 34 |   </style>
 35 | {% endblock style %}
 36 | 
 37 | {% block content %}
 38 |   <div id="app" class="container">
 39 |       <form class="" id="faceform" action="https://api-cn.faceplusplus.com/cardpp/v1/ocrbankcard" method="post" enctype="multipart/form-data">
 40 |         {% csrf_token %}
 41 |         <div class="input-group col-md-6 col-center-block">
 42 |         <ul class="nav nav-tabs" role="tablist">
 43 |           <li class="nav-item dropdown">
 44 |             <a class="nav-link dropdown-toggle" data-toggle="dropdown" href="#">Select Model</a>
 45 |             <div class="dropdown-menu">
 46 |               <a class="dropdown-item" href="{% url 'predict' %}">ResNet50</a>
 47 |               <a class="dropdown-item" href="{% url 'predict_MobileNet' %}">MobileNet</a>
 48 |               <a class="dropdown-item" href="{% url 'predict_MobileNetV2' %}">MobileNetV2</a>
 49 |               <a class="dropdown-item" href="{% url 'predict_Xception' %}">Xception</a>
 50 |               <a class="dropdown-item" href="{% url 'predict_VGG16' %}">VGG16</a>
 51 |               <a class="dropdown-item" href="{% url 'predict_VGG19' %}">VGG19</a>
 52 |               <a class="dropdown-item" href="{% url 'predict_DenseNet121' %}">DenseNet121</a>
 53 |               <a class="dropdown-item" href="{% url 'predict_DenseNet169' %}">DenseNet169</a>
 54 |               <a class="dropdown-item" href="{% url 'predict_DenseNet201' %}">DenseNet201</a>
 55 |               <a class="dropdown-item" href="{% url 'predict_InceptionResNetV2' %}">InceptionResNetV2</a>
 56 |               <a class="dropdown-item" href="{% url 'predict_InceptionV3' %}">InceptionV3</a>
 57 |               <a class="dropdown-item" href="{% url 'predict_NASNetMobile' %}">NASNetMobile</a>
 58 |               <a class="dropdown-item" href="{% url 'predict_NASNetLarge' %}">NASNetLarge</a>
 59 |             </div>
 60 |         </ul>
 61 |         </div>
 62 |         <br>
 63 |         <div class="input-group col-md-6 col-center-block">
 64 |           <div class="custom-file">
 65 |             <input type="file" class="custom-file-input" name="image" @change="getFile1" id="image_file1" aria-describedby="inputGroupFileAddon01">
 66 |             <label class="custom-file-label" for="image_file1">Choose file</label>
 67 |           </div>
 68 |         </div>
 69 |         <br>
 70 |       </form>
 71 |       <br>
 72 |       <div class="col-md-6 col-center-block">
 73 |         <button type="button" @click="submit" class="btn btn-warning">Identify</button>
 74 |         <br>
 75 |         <br>
 76 |         <span id="showprediction"></span>
 77 |         <br>
 78 |         <br>
 79 |       </div>
 80 |       <div class="row">
 81 |         <div class="col-md-6 col-center-block">
 82 |           <img class="img-responsive" id="img1" :src="src1" hidden>
 83 |         </div>
 84 |       </div>
 85 |   </div>
 86 | 
 87 | {% endblock content %}
 88 | 
 89 | {% block predict %}
 90 |   <script src="https://cdn.jsdelivr.net/npm/vue"></script>
 91 |   <script src="https://ajax.aspnetcdn.com/ajax/jQuery/jquery-3.3.1.min.js"></script>
 92 |   <script>
 93 | 
 94 |       var app = new Vue({
 95 |         el: '#app',
 96 |         data:{
 97 |             src1: '',
 98 |             file1: null,
 99 |             label: false
100 |         },
101 |         methods:{
102 |           submit:function(){
103 |               var self = this
104 |               var labels = []
105 |               var probabilities = []
106 |               $('#showprediction').text('In the calculation, please wait...')
107 |               $.ajax({
108 |                   url: 'api/',
109 |                   type: 'POST',
110 |                   cache: false,
111 |                   data: new FormData($('#faceform')[0]),
112 |                   processData: false,
113 |                   contentType: false,
114 |                   timeout: 30000,//10秒超时时间
115 |               }).done(function(res) {
116 |                   try {
117 |                   /*    console.log(res.predictions[0].label) */
118 |                   /*
119 |                   for (var i=1; i <= 5; i++) {
120 |                         labels.append(res.predictions[i].label)
121 |                   }
122 |                     $('#showprediction').text('Prediction: '+ labels[0])
123 |                   */
124 |                    $('#showprediction').text('Prediction: '+ res.predictions[0].label)
125 |                   }
126 |                   catch (e) {
127 |                   $('#showprediction').text('Prediction: unknown, please try it again!')
128 |                   }
129 |               }).fail(function(res) {
130 |                   $('#showprediction').text('Prediction: unknown, please try it again!')
131 |               });
132 |           },
133 |           getFile1:function($event){
134 |             this.file1 = $event.target.files[0];
135 |             var reader = new FileReader();
136 |             reader.readAsDataURL(this.file1);
137 |             var app = this;
138 |             reader.onloadend=function() {
139 |                 app.src1 = this.result;
140 |                 $('#img1').attr('hidden',false)
141 |             };
142 |           },
143 |         }
144 |       })
145 |   </script>
146 | 
147 | {% endblock predict %}
148 | 
149 | 
150 | 


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/templates/home.html:
--------------------------------------------------------------------------------
 1 | {% extends "theme.html" %}
 2 | 
 3 | {% block style %}
 4 |   <meta name="baidu-site-verification" content="MRMBZA60wg" />
 5 |   <meta name="baidu-site-verification" content="MoExjihOpR" />
 6 |   <title>然小狼 | ranxiaolang</title>
 7 | 
 8 | {% endblock style %}
 9 | 
10 | {% block content %}
11 |   <div id="top-display" class="container-fluid p-0">
12 |     <div id="topDisplay" class="carousel slide" data-ride="carousel">
13 |     <ol class="carousel-indicators">
14 |       <li data-target="#topDisplay" data-slide-to="0" class="active"></li>
15 |       <li data-target="#topDisplay" data-slide-to="1" class=""></li>
16 |       <li data-target="#topDisplay" data-slide-to="2" class=""></li>
17 |     </ol>
18 |     <div class="carousel-inner">
19 |       <a class="carousel-item active" href="">
20 |         <img class="d-block w-100" src="https://s2.ax1x.com/2019/03/19/An5zfe.gif" alt="slide1">
21 |       </a>
22 |       <a class="carousel-item" href="">
23 |         <img class="d-block w-100" src="https://s2.ax1x.com/2019/03/19/AnI9ld.png" alt="slide2">
24 |       </a>
25 |       <a class="carousel-item " href="">
26 |         <img class="d-block w-100" src="https://s2.ax1x.com/2019/03/19/AnIpSH.png" alt="slide3">
27 |       </a>
28 |     </div>
29 |     <a class="carousel-control-prev" href="#topDisplay" role="button" data-slide="prev">
30 |       <span class="carousel-control-prev-icon" aria-hidden="true"></span>
31 |         <span class="sr-only">Previous</span>
32 |     </a>
33 |     <a class="carousel-control-next" href="#topDisplay" role="button" data-slide="next">
34 |       <span class="carousel-control-next-icon" aria-hidden="true"></span>
35 |       <span class="sr-only">Next</span>
36 |     </a>
37 |     </div>
38 |   </div>
39 | 
40 |   <main role="main">
41 | 
42 |     <section class="jumbotron text-center" style="background-image:url(https://s2.ax1x.com/2019/03/19/An57l9.jpg);background-size:cover;">
43 |     <canvas id="home-canvas" style="height:10px; width:100%;"></canvas>
44 |     <p>
45 |       <a class="btn btn-danger" href="{% url 'face_comparison' %}">Face Comparison</a>
46 |       <a class="btn btn-warning" href="{% url 'bank_card' %}">Bank Card Detection</a>
47 |       <a class="btn btn-info btn-lg" href="{% url 'predict' %}"><b>Objects Prediction</b></a>
48 |       <a class="btn btn-success" href="{% url 'gesture' %}">Gesture Detection</a>
49 | 
50 |     </p>
51 | 
52 |     </section>
53 | 
54 |    <section id="gallery">
55 |     <div class="album py-0">
56 |       <div class="container">
57 |         <div class="row">
58 |           {% for gallery in gallerys.all %}
59 |           <div class="col-md-4">
60 |             <div class="card mb-4 shadow-sm">
61 |               <img class="card-img-top" src="{{ gallery.image.url }}">
62 |               <div class="card-body">
63 |                 <p class="card-text">{{gallery.description}}</p>
64 |               </div>
65 |             </div>
66 |           </div>
67 |         {% endfor %}
68 |         </div>
69 |       </div>
70 |     </div>
71 |    </section>
72 |   </main>
73 | {% endblock content %}
74 | 
75 | 
76 | 


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/templates/theme.html:
--------------------------------------------------------------------------------
  1 | <!doctype html>
  2 | <html lang="en">
  3 | {% load static %}
  4 |   <head>
  5 |     <meta charset="utf-8">
  6 |     <meta name="keywords" content="然小狼 | ranxiaolang.com,然小狼 |，然小狼@,ranxiaolang.com,xiaolang,ran,ziran，,@ranxiaolang.com，nature，RANXIAOLANG">
  7 |     <meta name="description" content="然小狼 | ranxiaolang.com">
  8 |     <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
  9 |     <meta name="author" content="Ziran Gong">
 10 |     <link rel="icon" href="{% static "favicon.ico" %}">
 11 | 
 12 |     <title>然小狼 | ranxiaolang.com</title>
 13 |     <!-- core CSS -->
 14 |     <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.2.1/css/bootstrap.min.css" integrity="sha384-GJzZqFGwb1QTTN6wy59ffF1BuGJpLSa9DkKMp0DgiMDm4iYMj70gZWKYbI706tWS" crossorigin="anonymous">
 15 |     <!-- Font Awesome -->
 16 |     <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.8.1/css/all.css" integrity="sha384-50oBUHEmvpQ+1lW4y57PTFmhCaXp0ML5d60M1M7uH2+nqUivzIebhndOJK28anvf" crossorigin="anonymous">
 17 |     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/animate.css/3.7.0/animate.min.css">
 18 | 
 19 |     {% block style %}
 20 | 
 21 |     {% endblock style %}
 22 | 
 23 |     <!-- core CSS -->
 24 |   <link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.2.1/css/bootstrap.min.css" integrity="sha384-GJzZqFGwb1QTTN6wy59ffF1BuGJpLSa9DkKMp0DgiMDm4iYMj70gZWKYbI706tWS" crossorigin="anonymous">
 25 |   </head>
 26 | 
 27 |   <body>
 28 |     <header>
 29 |       <nav class="navbar navbar-expand-lg navbar-light bg-light">
 30 |         <a class="navbar-brand" href=" {% url 'main' %}">
 31 |         <img  src="{% static "/images/logo0.png" %}"style="height: 3.8rem" />
 32 |         </a>
 33 |         <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarNavDropdown" aria-controls="navbarNavDropdown" aria-expanded="false" aria-label="Toggle navigation">
 34 |         <span class="navbar-toggler-icon"></span>
 35 |         </button>
 36 |       <div class="collapse navbar-collapse " id="navbarNavDropdown">
 37 |         <ul class="navbar-nav justify-content-end container-fluid p-0 mt-2 mt-md-0">
 38 |           <li class="nav-item text-right">
 39 |           <a class="nav-link" href="{% url 'main' %}">Home <span class="sr-only">(current)</span></a>
 40 |           </li>
 41 | 
 42 |           <li class="d-block d-md-none border-top border-top-1"></li>
 43 |           <li class="nav-item dropdown text-right">
 44 |           <a class="nav-link dropdown-toggle" href="" id="navbarDropdownMenuLink" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
 45 |           Menu
 46 |           </a>
 47 |           <div class="dropdown-menu text-right" aria-labelledby="navbarDropdownMenuLink">
 48 |             <a class="dropdown-item" href="{% url 'face_comparison' %}">Face Comparison</a>
 49 |             <a class="dropdown-item" href="{% url 'bank_card' %}">Bank Card Detection</a>
 50 |             <a class="dropdown-item" href="{% url 'gesture' %}">Gesture Detection</a>
 51 |             <a class="dropdown-item" href="{% url 'predict' %}"><b>Objects Prediction</b></a>
 52 |           </div>
 53 |           </li>
 54 | 
 55 |           <li class="d-block d-md-none border-top border-top-1"></li>
 56 |           <li class="nav-item text-right">
 57 |           <a class="nav-link" href="https://nature1995.club/about/">About&nbsp;</a>
 58 | 
 59 |           </li>
 60 | 
 61 |           <li class="nav-item text-right">
 62 |             {% if user.is_authenticated %}
 63 |             <a class="btn btn-outline-dark" href="JavaScript:{document.getElementById('退出').submit()}">Logout</a>
 64 |             <form id= '退出' method="POST" action='{% url 'LogoutPage' %}' align='center'>
 65 |             {% csrf_token %}
 66 |             <input type="hidden">
 67 |             </form>
 68 |             {% else %}
 69 |             <a class="btn btn-dark" href="{% url 'LoginPage' %}">Sign in</a>&nbsp;
 70 |             <a class="btn btn-outline-dark" href="{% url 'SignupPage' %}">Sign up</a>
 71 |             {% endif %}
 72 |           </li>
 73 |         </ul>
 74 |       </div>
 75 |       </nav>
 76 |     </header>
 77 | 
 78 |     {% block content %}
 79 | 
 80 |     {% endblock content %}
 81 | 
 82 |     <section id="footer_nav" class="bg-light mt-4">
 83 |     <div class="container pt-3 pb-4">
 84 |       <dl class="row mb-0">
 85 |         <div class="col-sm">
 86 |           <dt class="mb-1 mt-2">Topics</dt>
 87 |           <dd class="mb-0">
 88 |             <a class="text-dark" href="http://www.ranxiaolang.com:8000">
 89 |                 Cloud Disk</a>
 90 |           </dd>
 91 |          </div>
 92 |         <div class="col-sm">
 93 |           <dt class="mb-1 mt-2">About Me</dt>
 94 |           <dd class="mb-0">
 95 |             <a class="text-dark" href="https://nature1995.club/about/">Ziran Gong&nbsp;</a>
 96 |           </dd>
 97 |         </div>
 98 |         <div class="col-sm">
 99 |           <dt class="mb-1 mt-2">Follow Us</dt>
100 |           <dd class="mb-0">
101 |             <img style="height: 1.5rem" src="https://res.wx.qq.com/a/wx_fed/webwx/res/static/img/qMUjOdv.png">
102 |               <a class="text-dark" href="{% static '/images/gzr-youlang.png' %}">WeChat&nbsp;</a>
103 |           </dd>
104 |         </div>
105 |       </dl>
106 |     </div>
107 |     </section>
108 | 
109 |     <footer class="text-muted">
110 |       <div class="container">
111 |         <p align="center"> ©2018-2019&nbsp;&nbsp;然小狼&nbsp;&nbsp;|&nbsp;Ranxiaolang</p>
112 |         <p align="center"> <a align="center" class="text-muted" href="http://www.miitbeian.gov.cn/"> All Rights Reserved.</a>
113 |         </p>
114 |       </div>
115 |     </footer>
116 | 
117 |     <!-- core JavaScript
118 |     ================================================== -->
119 |     <!-- Placed at the end of the document so the pages load faster -->
120 |     <script src="https://code.jquery.com/jquery-3.3.1.slim.min.js" integrity="sha384-q8i/X+965DzO0rT7abK41JStQIAqVgRVzpbzo5smXKp4YfRvH+8abtTE1Pi6jizo" crossorigin="anonymous"></script>
121 |     <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.6/umd/popper.min.js" integrity="sha384-wHAiFfRlMFy6i5SRaxvfOCifBUQy1xHdJ/yoi7FRNXMRBu5WHdZYu1hA6ZOblgut" crossorigin="anonymous"></script>
122 |     <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.2.1/js/bootstrap.min.js" integrity="sha384-B0UglyR+jN6CkvvICOB2joaf5I4l3gm9GU6Hc1og6Ls7i6U/mkkaduKaBhlAXv9k" crossorigin="anonymous"></script>
123 |   </body>
124 | 
125 |   {% block scripts %}
126 |   {% endblock scripts %}
127 | 
128 |   {% block predict %}
129 |   {% endblock %}
130 | 
131 | </html>
132 | 
133 | 
134 | 
135 | 
136 | 


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