Object-Detector

This is an AI Tool that will if trained can detect and distinguish the Objects further and give results relevant to it.

Features

• Cross-platform
• Responsive
• Object detection
• Webcam

Tech Stack

Frontend: HTML, CSS, JavaScript

Backend: Python, Flask, Google Teachable Machine

Run Locally

Clone the project

  git clone https://github.com/RAJKUMARSHRIVASH/Object-Detector.git

Go to the project directory

  cd Object-Detector

Install dependencies

  pip freeze > requirements.txt

pip install --upgrade pip

pip install -r requirements.txt

How to Set Up a Virtual Environment in Python

Here are the steps to create a virtual environment in Python:

1. Install the virtualenv package:

pip install virtualenv

2. Navigate to your project directory and create a virtual environment. Here,my_env is the name of the virtual environment.

cd my_project/ virtualenv my_env

3. Now, you have to activate the virtual environment. On macOS and Linux, you can do this:

source my_env/bin/activate

On Windows:

my_env\Scripts\activate

4. After the activation, your terminal prompt will change to show the name of the activated environment.

Now, you can install packages into this isolated environment. For example:

pip install flask

This will install Flask in the my_env environment, not in your global Python environment. All Python commands like python, pip, etc., used in this environment will apply to my_env only.

1. When you're done with your work, you can deactivate the environment to return to your global Python environment:

deactivate

Start the server

  python main.py

Open the app on a browser locally

http://localhost:5000/

API Reference

Welcome

  GET /

POST

  POST /classify

Demo

https://object-detector.onrender.com

Screenshots

Author

• @Raj Kumar Sen