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This project is a website which is used to do image search from the database. It takes in an image and name of image as an input and asks for number of similar image you want to see as output and after clicking on "Upload" option it will show the similar images as output.
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This website I had created as this was my Internship task which I was doing in Bengaluru at KSP computer wing and working under IISC professor Mr. Ambedkar. Task was to create a website to do criminal image search from database, thereby saving there time instead of searching manually.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
- python 3.6.8
- python pip
“pip install 'below library names'”
- Django==2.2.2
- djangorestframework==3.9.4
- Keras==2.2.4
- Keras-Applications==1.0.8
- Keras-Preprocessing==1.1.0
- numpy==1.16.1
- opencv-contrib-python==3.2.0.7
- opencv-python==3.1.0.5
- Pillow==6.0.0
- psycopg2==2.8.3
- requests==2.22.0
- scipy==1.3.0
- tensorflow-estimator==1.13.0
- tensorflow==1.10.0
- termcolor==1.1.0
- urllib3==1.25.3
- virtualenv==16.6.1
- cmake==3.14.4
- dlib==19.17.0
- Microsoft Visual Studio code(For running the code you can use your own editor if you want)
- Postgresql(For database purpose, storing images, 128d encodings and name of images
I tried to deploy the website on Heroku platform but as this project includes dlib library which requires cmake to be installed so I'm getting errors while installing the library so I'm not able to deploy the website till now.
- Django - Framework used
- Facenet.h5 - Model used for predicting encodings
- Dlib model - 68 Landmark Predictor
- Haarcascades - For face detection and then face extraction
- Open Cv - Image processing
- Keras - Loading model and embedding prediction
- Numpy - For mathematical operation
- Pillow - For opening images
- Dlib - For facial alignment
- Postgresql - Database handling
.
└── KSP
├── __pycache__
├── ksp
│ ├── __pycache__
│ └── __init__.py
| └── settings.py
| └── urls.py
| └──wsgi.py
├── models
| └── shape_predictor_68_face_landmarks.dat
| └── facenet_keras.h5
| └── haarcascade_frontalface_default.xml
├── pages
│ ├── __pycache__
│ └── migrations
| ├── __pycache__
| └── ...
│ └── _init__.py
│ └── admin.py
│ └── apps.py
│ └── forms.py
│ └── models.py
│ └── tests.py
│ └── urls.py
│ └── views.py
|
├── media
│ ├── search
| └── ...
│ └── database
| └── ...
│ └── video_diamond.mp4
│ └── video_pink.mp4
│ └── video_round.mp4
|
├── static
│ ├── css
│ └── fonts
│ └── img
│ └── js
│ └── scss
|
├── templates
│ ├── about.html
| └── blog-home.html
│ └── blog-single.html
│ └── contact.html
│ └── home.html
│ └── res.html
│ └── search_image.html
│ └── team.html
│ └── upload_database.html
|
└── manage.py
After downloading all the dependencies you have to open the folder in VS code and run the following commands on the terminal:-
$ python manage.py makemigrations
$ python manage.py sqlmigrate pages 0001
$ python manage.py migrate $ python manage.py runserverApache © Rishi Sharma