Posts

• Aug 27, 2020

  truly-ui

  Truly-UI - Web Angular UI Components for Desktop Applications (Electron, NW, APP JS)

  • ✨ Learn about it on the docs site
  • 🚀 See it in action on Stackblitz
  • 😎 Checkout the sample application
  • 📖 Read the blog posts
  • 📝 Learn about updates from the changelog
  • 💬 Get to know the latest news first through slack

  Tags: #typescript • angular • angular4

• Aug 27, 2020

  gl-transition-libs

  libraries to run GL Transitions and source code of

  • GLTransitions website, gallery and editor. ( alternative hosting: https://gl-transitions.surge.sh/ )
  • gl-transitions repository, collection of gl transitions.

  Tags: #javascript

• Aug 27, 2020

  OMR-Datasets

  Collection of datasets used for Optical Music Recognition

  This repository contains a collection of many datasets used for various Optical Music Recognition tasks, including staff-line detection and removal, training of Convolutional Neuronal Networks (CNNs) or validating existing systems by comparing your system with a known ground-truth.

  Note that most datasets have been developed by researchers and using their dataset requires accepting a certain license and/or citing their respective publications, as indicated for each dataset. Most datasets link to the official website, where you can download the dataset.

  Tags: #python • optical-music-recognition • music-scores

• Aug 26, 2020

  webpack-node-externals

  Easily exclude node modules in Webpack

  npm install webpack-node-externals --save-dev
  

  In your webpack.config.js:

  var nodeExternals = require('webpack-node-externals');
  ...
  module.exports = {
      ...
      target: 'node', // in order to ignore built-in modules like path, fs, etc.
      externals: [nodeExternals()], // in order to ignore all modules in node_modules folder
      ...
  };
  

  And that’s it. All node modules will no longer be bundled but will be left as require('module').

  Tags: #javascript • webpack • node

• Aug 26, 2020

  elastomer-client

  A library for interacting with Elasticsearch

  Making a stupid simple Elasticsearch client so your project can be smarter!

  Tags: #ruby

• Aug 26, 2020

  reflection

  Lightweight (3K) ES Module implementation of reflect-metadata

  Lightweight ES Module implementation of reflect-metadata to work with TypeScript’s experimental decorator support.

  Tags: #typescript • reflect-metadata • decorators

• Aug 25, 2020

  yii2support

  Yii2 Support for PhpStorm / IntelliJ IDEA

  • View template names and parameters completion
  • Add view parameters after completion
  • Inspection for missing view templates
  • QuickFix for missing view templates
  • Jump to View file (go to declaration)
  • Inspection for required and unused template parameters
  • QuickFix for required and unused template parameters
  • Updates path to view template when file is moved

  Tags: #java • yii2 • phpstorm

• Aug 25, 2020

  rxjava-extras

  Utilities for use with rxjava

  observable.retryWhen(
      RetryWhen.delay(10, TimeUnit.SECONDS).build());
  

  Tags: #java

• Aug 25, 2020

  servicecomb-java-chassis

  ServiceComb Java Chassis is a Software Development Kit (SDK) for rapid development of microservices in Java, providing service registration, service discovery, dynamic routing, and service management features

  Apache ServiceComb Java Chassis is a Software Development Kit (SDK) for rapid development of microservices in Java, providing service registration, service discovery, dynamic routing, and service management features

  Tags: #java • servicecomb

• Aug 24, 2020

  visual_odometry

  visual odometry in python scripts

  The Python Monocular Visual Odometry (py-MVO) project used the monoVO-python repository, which is a Python implementation of the mono-vo repository, as its backbone. An in depth explanation of the fundamental workings of the algorithm maybe found in Avi Sinhg’s report. The monoVO-python code was optimized in order to make it more robust, using advance methods in order to obtain a higher level of accuracy.This report provides information about the optimizations done to the monoVO-python code. The GPS data in the images EXIF file can also be used to formulate a GPS trajectory in order to compare with the results of Visual Odometry(VO) trajectory. A merge between the GPS and VO trajectories is also possible in order to get an even more reliable motion estimation. The KITTI dataset was used for testing our methods and new implementations, since they offer accurate camera projection matrices, undistorted images, and reliable ground truth data.

  *The GPS trajectories can only be done with GPS-tagged images(GPS data inside the image’s EXIF file).

  Tags: #python

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