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https://github.com/aadityapanda/image-colour-identifier
In this colour detection Python project, we are going to build an application through which you can automatically get the name of the colour by clicking on them. So for this, we will have a data file that contains the color name and its values. Then we will calculate the distance from each colour and find the shortest one.
https://github.com/aadityapanda/image-colour-identifier
color-identification csv python
Last synced: about 2 months ago
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In this colour detection Python project, we are going to build an application through which you can automatically get the name of the colour by clicking on them. So for this, we will have a data file that contains the color name and its values. Then we will calculate the distance from each colour and find the shortest one.
- Host: GitHub
- URL: https://github.com/aadityapanda/image-colour-identifier
- Owner: AadityaPanda
- Created: 2023-02-18T20:27:43.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-28T05:30:46.000Z (3 months ago)
- Last Synced: 2024-10-28T08:51:13.009Z (3 months ago)
- Topics: color-identification, csv, python
- Language: Python
- Homepage:
- Size: 565 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Color Detection App
A Python-based Color Detection App that identifies the color name of a pixel in an image upon double-clicking. This project uses OpenCV and Pandas to detect color names from a CSV file containing color data.
## Table of Contents
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [CSV File Format](#csv-file-format)
## Features
- **Detect RGB Values**: Displays the RGB values of the pixel you click on.
- **Display Color Names**: Shows the name of the color closest to the clicked pixel based on a dataset.
- **Light and Dark Color Handling**: Adjusts text color for visibility based on light or dark background.
## Installation
### Prerequisites
- Python 3.x
- OpenCV
- Pandas
- Numpy
### Setup
1. Clone this repository:
```bash
git clone https://github.com/AadityaPanda/Image-Colour-Identifier.git
```
2. Install the required packages:
```bash
pip install opencv-python-headless pandas numpy
```
3. Ensure you have a `colors.csv` file in the same directory as the script. A sample CSV format is explained below.
## Usage
Run the script from the command line and pass an image file path as an argument:
```bash
python color_detection.py -i path_to_image.jpg
```
### How to Use
1. Launch the script with the image path.
2. Double-click on any pixel in the image window to see its color name and RGB values.
3. Press the **ESC** key to exit the application.
## Project Structure
```
Image-Colour-Identifier/
├── colors.csv # CSV file with color names and RGB values
├── color_detection.py # Main Python script for the color detection app
└── README.md # Project README
```
## CSV File Format
The `colors.csv` file should have the following columns:
- **color**: Index or ID of the color.
- **color_name**: Name of the color (e.g., Red, Blue).
- **hex**: Hexadecimal code of the color (e.g., #FFFFFF for white).
- **R**: Red component (0-255).
- **G**: Green component (0-255).
- **B**: Blue component (0-255).
Example CSV Content:
```csv
color,color_name,hex,R,G,B
0,Black,#000000,0,0,0
1,White,#FFFFFF,255,255,255
2,Red,#FF0000,255,0,0
...
```