Real-time Color Detection

This project, created by Jr Santiago Ravelo, uses Flask and OpenCV to detect colors in real-time through the webcam. The software detects various colors in a video stream and draws rectangles around the detected objects, labeling them with their corresponding color.

Note about Language

• 'main' : English
• 'spanish' : Spanish

Requirements

• Python 3.x
• Flask
• OpenCV
• NumPy

Installation

1. Clone the repository:

   git clone https://github.com/JunniorRavelo/color-detector.git
   cd color-detector

2. Create a virtual environment:

   python -m venv env_colors

3. Activate the virtual environment:

   • On Windows:

     .\env_colors\Scripts\activate

   • On macOS and Linux:

     source env_colors/bin/activate

4. Install the dependencies:

   Make sure you have a requirements.txt file with the following dependencies:

   blinker==1.8.2
   click==8.1.7
   colorama==0.4.6
   Flask==3.0.3
   itsdangerous==2.2.0
   Jinja2==3.1.4
   MarkupSafe==2.1.5
   numpy==1.26.4
   opencv-python==4.10.0.82
   Werkzeug==3.0.3

   Then, install the dependencies:

   pip install -r requirements.txt

Usage

Web Version

1. Run the Flask application:

   python app.py

2. Open your web browser and go to http://0.0.0.0:5000 to see the real-time color detection.

Desktop Version

For the desktop version, it's located in desktop\desktop.py, which does not use Flask.