SAP Build Apps (aka AppGyver) tutorial - How to build a Image classification mobile app with

Описание к видео SAP Build Apps (aka AppGyver) tutorial - How to build a Image classification mobile app with

Limit Spring offer of my E-Book "Ultimate Guide to connect Google firebase with AppGyver." Check it out! You can get 25% off my ebook with coupon SPRING until the 5th of May. https://www.curiosity-lab.net/ultimat...

---------------------------- Video Content -----------------------------------------
This SAP Build Apps (aka AppGyver) tutorial explains how to build an image labeling app in SAP Build Apps. In tutorial number twenty, I demonstrate how to build a mobile app that looks at an image and assigns (not always ) a correct label to the picture.

This is called Image classification. It's a vital part of computer vision, allowing computers to see the world as we do. For example, you input an image of a mouse. Image classification is the process of the computer analyzing the image and telling you it's a mouse. (Or the probability that it's a mouse.) In the tutorial,

In this video, I'm using AppGyver functionality like capture a picture, custom javascript, and conditional rendering.

What is AppGyver? AppGyver is a no-code app development platform that lets you build a free app without dealing with complex coding. You can produce applications for mobile forms, data collection, and even for managing workflow automation.

As application development is getting more complex with every new technology and feature, most businesses cannot have a mobile app. AppGyver is that platform that takes care of this issue by providing a development environment where you do not need to learn any programming languages. AppGyver lets you build an app for free.

You can find all my videos and other content on my website: https://www.curiosity-lab.net/. Go check it out.

---------------------------- Subscribe -----------------------------------------
   / curiositylab2022  
---------------------------- Design Assets -----------------------------------------
Google computer vision Model: https://huggingface.co/google/vit-bas...
Photo by Daniel Romero on Unsplash : https://unsplash.com/photos/yp-BBMj_4...
Music by Nitzi: https://audiojungle.net/user/nitzi
track name: Energetic Summer Happy Hip-Hop Upbeat

---------------------------- Follow Me ------------------------------------------
Twitter:   / onnobos  
Website and store: https://www.curiosity-lab.net/

---------------------------- For paid work inquiries ------------------------------------------
LinkedIn:   / onnobos  

00:00 - Start
00:01 - Intro
00:46 - App process explained
01:31 - Start building
03:33 - Set up app main container
05:11 - Create image container
11:25 - container to hide the image
14:37 - Upload default image
15:28 - Take picture flow logic component
17:10 - Insert conditional rendering component
20:29 - connect variable to conditional rendering
21:37 - Create process step number two
23:12 - Create process step number 3
26:02 - Resize picture
27:29 - Connecting with machine vision algoritme
41:16 - connect output javascript with label element
42:51 - Move to next step after calling the algoritme
43:21 - Test full app
43:55 - Outro
#nocode #howtobuildanapp

Комментарии

Информация по комментариям в разработке