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Node News Sunday, July 8

How to use Face Recognition in python

  • While he’s talking to you or shaking your hand, youre looking at his face: – – eyes, nose, mouth, skin tone… Thisprocess is your mind gathering data and training for face recognition.
  • Data Gathering:Extract unique characteristics of Kirills face that it can use to differentiate him from another person, like eyes, mouth, nose, etc.
  • Our mind’s Face Recognition Process – – Then, the more you meet Kirill, the more data you will collect about him, and the quicker your mind will be able to recognize him.
  • def detect_face(img): – – – – #convert the test image to gray scale as opencv face detector expects gray images – gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) – – #load OpenCV face detector, I am using LBP which is fast – #there is also a more accurate but slow: Haar classifier -…
  • EIGENFACES FACE RECOGNIZER – – This algorithm considers the fact thatnot all parts of a face are equally important or useful for face recognition.

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How to use Face Recognition in python

Introduction and usage of R-cnn in python

  • In theMask R-CNNpaper, they make some impressive claims, including superior performance on a number of object detection and segmentation tasks.
  • Since I was in need of a pre-trained object detection model for work, I decided to take it for a test drive, and check out its segmentation performance was not exactly simple, but also not nottoocomplicated.
  • First, note the object classes that are defined: – – class_names = [‘BG’, ‘person’, ‘bicycle’, ‘car’, ‘motorcycle’, ‘airplane’, – ‘bus’, ‘train’, ‘truck’, ‘boat’, ‘traffic light’, – ‘fire hydrant’, ‘stop sign’, ‘parking meter’, ‘bench’, ‘bird’, – ‘cat’, ‘dog’, ‘horse’, ‘sheep’, ‘cow’, ‘elephant’, ‘bear’, – ‘zebra’, ‘giraffe’, ‘backpack’, ‘umbrella’, ‘handbag’, ‘tie’, -…
  • And here it is… Roger Federer in action during a tennis match: – – – – Running the image through the pretrained model is simple: – – # Load a the image – image = Run detection – results = model.detect([image], verbose=1) – – # Visualize results – r =…
  • It contains a dictionary with the following elements: – – – rois: regions of interest -image coordinates of the object bounding boxes – – class_ids: class ids for the detected objects – – scores: softmax confidence associated with each object class assignment – – masks: a binary array indicating the…

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Introduction and usage of R-cnn in python

How to make the slack integration with Gmail

  • How to make the slack integration with Gmail – – – – Reason I choose Slack was just that I feel sick of internal emails going back and forth all the – time I got enough emails as I didn’t want to keep track of everything and to be honest…
  • First step: get an email address from Slack – To make integration and upload emails from Gmail to Slack you need to get an email address – from Slack that you will use for forwarding emails to yourself.
  • Second Step: Forward emails from Gmail to Slack – We have two causes here: – Cause 1 : that we want to forward specific mail – It will be very easy and we only just need to forward that email to the address that we – copied.
  • Cause 2: that we want to automatically forward your emails from Gmail to Slack – Yo u c a n u s e p r e – b u i l t o p t i o n s l i k e I F T T T o r…
  • Now we have, we have made the slack integration with Gmail – – Now when you forward the email into your slack team you’ll see slack bot light up with the – message and you can click to expand it so you can actually see the whole entire mail.

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How to make the slack integration with Gmail

Introduction and usage of Detectron

  • Installing Detectron – – This document covers how to install Detectron, its dependencies (including Caffe2), and the COCO dataset.
  • Requirements: – – – NVIDIA GPU, Linux, Python2 – – Caffe2, various standard Python packages, and the COCO API; Instructions for installing these dependencies are found below – – – – Notes: – – – Detectron operators currently do not have CPU implementation; a GPU system is required.
  • # To check if Caffe2 build was successful – python2 -c ‘from caffe2.python import core’ 2/dev/null echo Success || echo Failure – – # To check if Caffe2 GPU build was successful – # This must print a number 0 in order to use Detectron – python2 -c ‘from caffe2.python…
  • \ – # insert your Caffe2 CMake flags here – \ – when building custom Detectron operators you can use: – – cd $DETECTRON – mkdir -p build cd build – cmake .
  • \ – # insert your Caffe2 CMake flags here – \ – \ – may also experience problems with protobuf if you have both system and anaconda packages installed.

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Introduction and usage of Detectron

NodeSchool

  • Youll need Node.js on your computer to get started with each of these.
  • You will also need a Text Editor, if you don’t have one already, you may want one for editing code.
  • A few options: Atom, Sublime Text, Visual Studio Code, Brackets.
  • Problems with the workshopper?
  • Try installing the latest version of Node.js (v6.2.0 or higher), or ask a question in the discussion.

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NodeSchool

Tutorial: Build a Basic CRUD App with Node.js

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Tutorial: Build a Basic CRUD App with Node.js | Okta Developer

  • Here are the top 5 popular python frameworks on Github: – – – – As I said earlier that frameworks are categorized as a full stack or non-full stack.
  • It is also a full-stack framework that enables developers to build better web apps more rapidly with less code This prominent python framework was designed to help developers by taking applications from concept to completion as quickly as possible.
  • TurboGears is another full stack Python web application framework originally created in 2005.
  • Pyramid is a non-full stack web framework written in Python language.
  • It is a semantic Web application framework having a library of reusable components (data model and views) that fulfill common needs, – – All above-mentioned Python framework have its own advantages.

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Top 5 Popular Python Frameworks on Github

How to make slack bot using python

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How to make slack bot using python

10 Best IDE in the World

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10 Best IDE in the World

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Top Node Courses

The Complete Node.js Developer Course (2nd Edition) (60,232 students enrolled)

By Andrew Mead
  • Build, test, and launch Node apps
  • Create Express web servers and APIs
  • Store data with Mongoose and MongoDB
  • Use cutting-edge ES6/ES7 JavaScript
  • Deploy your Node apps to production
  • Create real-time web apps with SocketIO

Learn more.


Angular (Angular 2+) & NodeJS - The MEAN Stack Guide (26,806 students enrolled)

By Maximilian Schwarzmüller
  • Build real Angular + NodeJS applications
  • Understand how Angular works and how it interacts with Backends
  • Connect any Angular Frontend with a NodeJS Backend
  • Use MongoDB with Mongoose to interact with Data on the Backend
  • Use ExpressJS as a NodeJS Framework
  • Provide a great user experience by using Optimistic Updating on the Frontend
  • Improve any Angular (+ NodeJS) application by adding Error Handling

Learn more.