June 2019 - Custom Web Development Blog

Archive - June 2019

Customer in Agile

Many software development projects are implemented with Agile methodologies. The right use of Agile principles leads projects to the goals. If you are a customer of a software development project, and you are suggested to work in Agile, this article is for you. We will list the essentials to prepare for the work with an Agile development team.

To make Agile work for your goals is the mutual task for a prepared customer and a mature team. Both the team and you have to be prepared to the Agile approach if you did not work this way before or if you did but did not get significant results.

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Classification of image style using deep learning with Python

In this article, I want to talk about the use of convolutional neural networks for the classification of images by style.

The goal of our project is to build software to identify whether an image is in the “BMW style”. In other words, we are faced with the task of classifying images. It is important to note here that images could be of any content, with and without cars. So, the main interest here is not to identify a car object, or identify a BMW car, rather identify a BMW look and feel – colors, composition and so on. But we can’t select these attributes of style manually. To solve this problem, it was proposed to use a neural network, in which such complex features will be found automatically in the learning process.

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Development of a document recognition system using OpenCV and Tesseract

The feature of input of user data taken from printed documents for automated enterprise solutions is currently in great demand.

Such documents include:

  • Official standard state documents, such as passport, personal insurance policy number (SNILS), driver’s license, birth certificate, etc.
  • Printed documents used in the company document flow made according to company templates.

Our company focuses on development of software based on machine learning, computer vision, image processing, and optical character recognition. In this article, we describe our experience in development of a textual template recognition system which includes an Android mobile app and a template control server.

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HLS testing using JMeter and Locust

HTTP Live Streaming (also known as HLS) is an HTTP-based adaptive bitrate streaming communications protocol implemented by Apple Inc. The conception of the protocol is based on the principle of splitting a single stream into small fragments sequentially downloaded via HTTP. At the beginning of the session, the playlist is downloaded in the M3U format, containing metadata about the existing nested streams. Based on standard HTTP transactions, HTTP Live Streaming can pass through any firewall or proxy server, passing standard HTTP traffic, unlike UDP-based protocols such as RTP. The standard also includes a standard encryption mechanism and secure-key distribution using HTTPS. Let’s look at how to test HLS using Apache JMeter and Locust.

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