A new digest and reading text on signs in it, best practices and development tools, magic of automatic assembly, applications for digital detox, illusions of design and Flutter.
With such a variety of conditions for presenting text, handwritten algorithms can no longer cope. Here, neural networks with their ability to generalize come to the rescue. In this post, we will talk about our approach to creating a neural network architecture that detects text on complex images with good quality and high speed.
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iOS•
(+7) Best practices and tools for developing iOS applications•
Apple TV + is already available in Russia•
Scam on the App Store: who is to blame and how to fight•
How to create a side menu (hamburger) in SwiftUI•
Apple, your developer documentation ... is missing•
5 iOS libraries to enhance and inspire your UI•
App Life Cycle for iOS 13 (iPadOS) with UIScene, Scene Session, and Scene Delegate•
Gradients in SwiftUI•
Customizable network layer in Swift 5•
Making multiple windows support on iPadOS•
AMOuijaBoard: Wijia for iOS
Android•
(+18) Android Camera2 API from the teapot, part 3. Media Codec and stream video over UDP•
(+14) Cribble Karble Gradle: magic of automatic assembly•
(+13) Encrypted preferences on Android•
(+11) Stream video from an Android device via UDP to a JAVA application•
(+8) Application on TSD and communication with 1C: Enterprise 8.3 through HTTP-Service. Part 1 (Choosing an exchange method. Description of API) and
Part 2 (Implementing the API on the 1C side)•
(+7) System for obtaining a copy of memory in devices running Android via wireless communication channels•
(0) Home-made “sugar” for an Android project or “How not to do it”•
xHelper virus for Android cannot be removed•
Google creates a platform and applications for digital detox•
Epic Games will make its own game store for Android?•
Android Dev Podcast # 105: Android Dev Summit 2019•
A Complete Guide to Date Binding in Android•
Before you start a new Android project•
Android interview in 2019•
Android 11 may finally bring the correct implementation of wireless ADB•
Upgrading the Android build system in Dropbox•
Android Dev Summit 2019 video•
Taskbar: taskbar for Android•
Digital Wellbeing Experiments Toolkit
Development•
(+20) Dark mode is now everywhere. Is it so useful?•
(+16) BlessRNG or we check the RNG for honesty•
(+15) Shader is not magic. Writing shaders in Unity. Introduction•
(+8) Advice from the creator of RimWorld: cognitive distortions when predicting a fan from a game•
(+8) Microinteractions and their use in user interfaces•
(+8) Navigation in cross-platform applications: why NavController defeated angular / router in Ionic 4•
Epic Launches New Infinity Blade Resources•
11 optical illusions in visual design•
Podlodka # 135: Job Search•
Creating an idle game - Kolibri Games Guide•
Samsung announces new opportunities for developers•
Samsung introduced the Samsung Blockchain Platform SDK to create applications on the blockchain•
Why the design team structure can slow you down•
“VKontakte” opened registration on VK Cup•
4 main mistakes of the programmer•
Eugene Kot (Wrike): Flutter has already picked up speed and is moving forward with the locomotive!•
Flutter Dev Podcast # 8: Grab•
Successful card design in 3 steps: UX, UI and framework•
Does Instagram make bad navigation good?•
Ux has bad ux•
5 Great PayPal Redesigns•
How Disney + does onboarding new users - UX analysis•
How to create an accessible application (and why it should be done)•
Are you writing too much code?•
10 ways to bring design to life•
Why text buttons harm mobile usability•
4 habits that make you an inefficient developer•
How to become a good junior developer•
Releasly: keep an eye on open source projects
Analytics, marketing and monetization•
(+14) You can’t just take and run your application if you are a star in the music industry•
(+8) The principles of documentation and localization, or how to get good localization at minimal cost•
LOVEMOBILE # 02: Tappsk•
CARE model: onboarding as a single system•
Quill: new corporate messenger•
Pokemon GO earned $ 3 billion•
Egor Fedorov (, inDriver): It turns out that the world is small!•
StepLadder: circular subsidization•
Application Icon: 17 Improvement Tips + Creation Tools
AI, Devices, IoT•
(+45) How Alice recognizes countries from photographs. Yandex research•
(+25) How the hybrid gaming AI works and what are its advantages•
(+24) Cat driving: how to make cats not relieve themselves on the lawn near the house?•
(+22) Personalization of product recommendations on big data using Vowpal Wabbit•
(+13) What about you in Smart TV? Or what can be crammed into the TV?•
(+9) What is the danger of hacker attacks on IoT devices: real stories•
(+4) Windows for IoT: enhanced hardware platform support and new smart device capabilities•
A brief introduction to TensorFlow 2.0 for deep learning•
AI learns to process game physics in microseconds•
Beginner's Guide to Three Types of Machine Learning←
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