GSOC project 2019
Building a free version of Amazon rekognition with maximum possible feature during a 3 months’ time span.
Use-cases:
1.Face and Eye Detection using OpenCV
2.Facial recognition of a video using deep metric learning
3.Celebrity Recognition
4.Object Detection
5.Read text in images
6.Facial Analysis
Sad
Happy
Angry
Disgust
Fear
Surprise
Neutral
7.Scene Detection
Libraries required:
OpenCV: For using cascade files
Numpy: For array operations
Matplotlib.pyplot : For plotting
Pickle : For serializing and de-serializing Python object structures
Keras : For importing neural network models
Tensorflow : For CNN’s architecture and training
Cython : To generate CPython extension modules
Pillow : To load images from files
Lxml : To use the ElementTree API
Flask==1.1
gunicorn==19.3
werkzeug==0.15
opencv
tesseract=3.02
numpy==1.11
scipy==0.18
scikit-learn>=0.18