Explore a 28-minute EuroPython Conference talk on developing a Python and Flutter application for colorizing and enhancing old photos. Learn about deep learning techniques, including autoencoder architecture with skip connections, and how to implement them using TensorFlow and Keras. Discover the process of building an API with Flask and creating a Flutter mobile application for user interaction. Gain insights into gamma correction, super-resolution, and other image processing techniques. Follow along as the speaker demonstrates the application and discusses potential applications in computer vision. Suitable for developers interested in combining machine learning with mobile app development to breathe new life into historical images.
Python and Flutter Application for Colouring and Enhancing Old Photos
EuroPython Conference via YouTube
Overview
Syllabus
Intro
About Me
Black & White Photos
A few techniques for coloring black & white images
What is the need of doing it by Machine Learning ?
Feedforward neural network
network (RNN)
Convolution neural
Convolution Operation
Convolution Layer
Pooling Operation
Add layer
Autoencoder Code
Types of Autoencoders
Skip Connections
Model Architecture
Decoder building
Gamma Correction Code
Application Programming Interface (API)
Frameworks in Python
Flask API Basic Code
Production and Native Performance
Fast development
Platform Availability
Application Demo
Taught by
EuroPython Conference
