Using Python CGI Codes I am taking input from the client (via the web portal) in the form of English Statements & the code runs the particular kubectl commands and gives the output back to JS functions that display it on the webpage.
Theme: Mental Health and Awareness
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In this article, I will explain how I have created the Face Recognition model using Azure Custom Vision Service.
Capture photos of the team members. These photos will be provided to the model for training. The model is based on Supervised Learning, as while uploading the images we provide labels to them.
Angular was a fairly popular choice across all industries, but strongest in finance. Developers in entertainment were the least likely to use Angular, their strongest preference being for React (65%).
Using Python CGI Codes I am taking input from the client (via the web portal) & the code runs particular docker commands and gives the output back to JS functions that display it on the webpage.
Video is a series of images. And an image is an array of numbers. So using OpenCV module in Python I have created a Video Chat App working on my localhost only as of now.
I have used 2 cameras to show the setup perfectly.
The basic concept that works here is socket programming. A server and a client code are created who connect to each other and whenever one of them disconnects the code shuts down, by proper exception handling.
PS. Here the symbolic name “client” and “server” do not hold any meaning as such.
A confusion matrix is a technique for summarizing the performance of a classification algorithm. Classification accuracy alone can be misleading if you have an unequal number of observations in each class or if you have more than two classes in your dataset.
True Positive: You predicted positive and it’s true.
True Negative: You predicted negative and it’s true.
False Positive: (Type 1 Error) You predicted positive and it’s false.
False Negative: (Type 2 Error) You predicted negative and it’s false.
This data set is prepared by Stolfo et al and is built based on the data captured in the DARPA’98…
Docker has been a really popular tool since its launch in the market and has moved the concept of Virtualisation to a different era. Containerisation has increased the pace of deployment and reduced the time to market for most companies in the technological world.
But according to me, “Docker” has limited the thinking of people to launch containers for production and not do something far more interesting it is capable of!
Theoretically, you can easily launch services in a docker container in 1 second.
But that will be CLI-based.
What if you want to launch a desktop application, use it…
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