lawinko /
react-native-vision-detector
A real-time object detection app built with React Native using VisionCamera and TensorFlow Lite. Detect 80+ objects in real-time with bounding boxes and confidence scores.
62/100 healthLoading repository data…
SeanDotExe / repository
Object Detector using Python and render blob images using NodeJS & NextJS
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This is a Next.js project bootstrapped with create-next-app. This program can also detect the motion using opencv python. Each time the system detects movement, the system will send a payload to the Node.js API and will save the datetime and the image captured (BLOB) to the MySQL database.
First, clone this repository:
git clone https://github.com/SeanDotExe/Object-Detector.git
then install all dependencies (make sure that you are in the root directory of the project, use pwd or cd for windows):
cd Object-Detector
npm install
It will take some time to download all the dependencies into the node_modules directory, and after the completion of this process, the project is ready to run:
run the python script in the terminal:
detect.py
First, run the development server:
npm run dev
# or
yarn dev
then, run the node js server:
node index.js
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying pages/index.js. The page auto-updates as you edit the file.
API routes can be accessed on http://localhost:3000/api/hello. This endpoint can be edited in pages/api/hello.js.
The pages/api directory is mapped to /api/*. Files in this directory are treated as API routes instead of React pages.
To learn more about Next.js, take a look at the following resources:
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.
Selected from shared topics, language and repository description—not editorial ratings.
lawinko /
A real-time object detection app built with React Native using VisionCamera and TensorFlow Lite. Detect 80+ objects in real-time with bounding boxes and confidence scores.
62/100 healthDanieldotcomcoder /
This is a React project for an image object detection application built using Hugging Face's machine learning library for JavaScript.
28/100 healthPrakharSinha-09 /
Presenting you an awesome web based application that could detect almost any object, have used latest Next.js 14 JS Framework and Tailwind CSS, will be leveraging Tensorflow.js for detection
harshitj183 /
Object-Detector-DLM-WEB is a web-based application that utilizes deep learning models for real-time object detection and tracking using your camera feed. The application is built using HTML, CSS, and JavaScript, and leverages TensorFlow.js with the COCO-SSD model to detect and label objects in the video stream.
55/100 healthDevanshu7455 /
Multi-provider object detection web app using Browser AI, Hugging Face, and Azure Computer Vision.
62/100 healthHusain7809 /
Object detector using html and javscript, use behind tensorflow model
27/100 health