johnny-five VS ImageAI

Some times ago I have played with johnny-five, a JavaScript Robotics & IoT platform. In short words, we can communicate with our Arduino or Raspberry by using JavaScript with a very friendly syntax.

The library Johnny-Five is a Javascript library that allows you to control Arduino and other microcontrollers using Javascript. It is very easy to use and it has a lot of examples that you can use to learn how to use it.

+Here is the platform used to program the board http://johnny-five.io/

I decided to use the Johnny-Five JavaScript framework for this. After installing it , I started by declaring a few variables and instantiating the transmitter board.

IOT is the internet of things. That loosely means - interconnected devices that aren't your standard "computer." You can totally do that with JS and a little computer like an Arduino. You can use https://johnny-five.io/ or something... but I'm talking about - a year from now -

here it the project's github: https://github.com/rwaldron/johnny-five

Johnny Five seems like a neat project for that bit. What I'm trying to find is a library for using the camera bit. Sorry if my original question wasn't specific enough. I'll try to clarify here.

Start here: http://johnny-five.io/

I am trying to put Firmata on ESP32 and connect it to the johnny-five lib (or any other JS client). I managed to put official Firmata and other forks related to ESP32, but it doesn't work (build+upload succeed), but I'm getting "ready" from the device.

Hi. I want to implement an image server similar to Photoprism using ImageAI to tag images based on objects and context. However I don't want to spend to much time working on the frontend, at first I were thinking about using Danbooru and use Flexbooru or the web interface on my phone. But it doesn't have any encryption or password protection (since the purpose of it is to be used as a public image board).

From ImageAI?

https://github.com/amusi/awesome-object-detection https://mmdetection.readthedocs.io/en/latest/index.html https://github.com/thtrieu/darkflow https://github.com/OlafenwaMoses/ImageAI https://github.com/dmlc/gluon-cv https://github.com/aim-uofa/AdelaiDet/ https://github.com/aim-uofa/AdelaiDet/blob/master/configs/FCOS-Detection/README.md https://github.com/wizyoung/YOLOv3_TensorFlow

Some resources to get you started...https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606https://github.com/OlafenwaMoses/ImageAIhttps://towardsdatascience.com/yolo-object-detection-with-opencv-and-python-21e50ac599e9https://github.com/meituan/YOLOv6

Thanks for your suggestion, I appreciate it! I think you're right. I stumbled upon the ImageAI project which I think might make for good interface to train the CNN. Going to give that a try and see how the model turns out.

Image AI

Yo good question, my first thought was image recognition so something like this (https://github.com/OlafenwaMoses/ImageAI) and and then some other stuff so it is able to find the search bar, click on it, and then input the text. Or you could use image recognition to copy the URL and then open up a Selenium instance from there.

Use a pre-trained model such as YOLOv3 to feed datasets into for Image recognition so model can learn what you want then instead of using Opencv to run model for image recognition you could use ImageAi