Vitaliy Hramchenko

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Modifying StarGAN V2 using Modulated Convolutions

In this tutorial we will replace Adaptive Instance Normalization(AdaIN) layers in StarGAN V2 model and train it on images with a resolution 512x512 pixels. — Why StarGAN V2? Today, there are many models for generating high-quality images. Specifically, for the attributes swapping task(in 2021), the best quality is given by models that are a further development of the StyleGAN, or obtained by distilling it, which requires significant computational time for training on new data domains. …

Generative Adversarial

4 min read

Modifying StarGAN V2 using Modulated Convolutions

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How to cut a person out of a picture using python

Disclaimer, this tutorial is intended more for people who just need to remove the background on the image, and not for advanced computer vision developers. In this tutorial, we will make a pipeline for high-quality automatic background removal around a person using AI. The pipeline includes following steps: 1. Background areas…

Image Processing

5 min read

How to cut out a person in an image with open source projects

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Run your PyTorch model on Android GPU using libMACE

How to speed up PyTorch model on Android using GPU inference and MACE library — In recent years, there has been a trend towards using GPU inference on mobile phones. In Tensorflow, GPU support on mobile devices is built into the standard library, but it is not yet implemented in the case of PyTorch, so we need to use third-party libraries. …

Pytorch

4 min read

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How to write a simple 3D reconstruction system

To start with the definition, reconstruction is a 3D model of an object developed on the basis of long-range data processing. Reconstruction can be performed using a wide variety of principles: stereometric, stereophotometric, volume removal, or motion data. This work is a guide that explains how to develop a simple…

Computer Vision

4 min read

Writing a simple 3D reconstruction system

Dec 8, 2020

A coach that’s always with you!

Free exercises with a personal coach at any time — Doing sport on your own is quite complicated. Sadly, there is often not enough discipline to continue. I explain. …

Home Workout

2 min read

Nov 13, 2020

Hacking simple chaotic cipher

Note: in this article I will talk about the work I did while studying at the University, so this paper is more educational than practical. — Since the late 90’s, a lot of dynamic chaos-based ciphers have been released, many of them have a fairly low strength. This paper analyzes one of these systems, published by Pareek in 2004[3]. Cipher “Multiple one-dimensional chaotic maps” Multiple one-dimensional chaotic maps is a cryptographic algorithm that implements block symmetric encryption. Developed by Pareek, Patidar and…

Cryptography

8 min read

Jul 22, 2020

Normalized cross-correlation with alpha-masked templates for object detection

How to make 2d game recognition using classical computer vision approach — Methods based on deep learning are the most popular for object recognition today. A good deep learning model can find an object at different scales, angles, light conditions and even when it partially overlapped by other objects. To create such model, you need to have a set of source data…

Computer Vision

5 min read

Normalized cross-correlation with alpha-masked templates for object detection