A few techniques for coloring black & white images
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What is the need of doing it by Machine Learning ?
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Feedforward neural network
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network (RNN)
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Convolution neural
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Convolution Operation
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Convolution Layer
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Pooling Operation
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Add layer
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Autoencoder Code
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Types of Autoencoders
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Skip Connections
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Model Architecture
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Decoder building
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Gamma Correction Code
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Application Programming Interface (API)
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Frameworks in Python
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Flask API Basic Code
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Production and Native Performance
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Fast development
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Platform Availability
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Application Demo
Description:
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