Face recognition +Training data with CNN Model

Web base +Flask with MongoDB

Project ini akan memperkenalkan bagaimana komputer mengenali kontur wajah anda dan mengidentifikasi anda dengan label yang sudah anda set, project ini berjalan di Python3.7. yang ada dalam project ini yaitu

• Data example (Train data dan Test data)
• Train Data
• Check Data

Requirement

• Python3.7
• Flask
• Install MongoDB
• optional Virtualenv
• dlib for Windows 7, 8, 10 or Unix

How to install

• Clone this repository
• Change state directory to new clone repository
• Get virtualenv and active virtualenv
• Create database in MongoDB using name face_recognition
• $ pip install -r requirement.txt
• $ python init_app.py to config apps
• $ python seeder.py to push data seeder or example data train
• $ python app.py to run apps

Testing

• Install Postman
• Import file face_recognition.postman_collection to Postman apps
• Enjoy!

Issue

• Show accuracy train data
• Compare data is not full service and decision

Thanks

• Many, many thanks to Davis King (@nulhom) for creating dlib and for providing the trained facial feature detection and face encoding models used in this library. For more information on the ResNet that powers the face encodings, check out his blog post.
• Thanks to everyone who works on all the awesome Python data science libraries like numpy, scipy, scikit-image, pillow, etc, etc that makes this kind of stuff so easy and fun in Python.
• Thanks to Cookiecutter and the audreyr/cookiecutter-pypackage project template for making Python project packaging way more tolerable.