Project 13: Hirst Painting

Author

• Name: Pranjal Sarnaik
• Date: 2024-12-18

Description

This project involves creating a Hirst painting using extracted colors from an image file (image.jpg). The program uses the colorgram library to extract 30 colors and then utilizes those colors to create a 10x10 grid of colorful dots resembling a Hirst painting.

Key Functionalities:

1. The create_color_list.py file extracts colors from the image and generates a list of RGB values. This list is manually copied and pasted into the app.py file for further use.
2. The app.py file uses the turtle module to generate the Hirst painting based on the extracted colors.

How to Use

1. Run create_color_list.py to generate the list of colors from image.jpg.
2. Copy the generated color list and paste it into the app.py file.
3. Run app.py to create the Hirst painting.

Level

• Level: Intermediate
• Skills: Python programming, Turtle graphics, Color extraction using colorgram
• Domain: Creative Programming, GUI-based Projects

Features

• Extracts colors from an image using the colorgram library.
• Creates a Hirst-style painting with 100 dots (10x10 grid) using the turtle and random modules.
• Three functions are used to build the painting:
  1. starting_point(): Fixes the starting position of the painting.
  2. draw_line(): Draws a straight line of 10 dots.
  3. turn_and_move(): Moves the turtle to the next row.

Installation

1. Clone this repository:

   git clone https://github.com/pranjalco/hirst-painting-intermediate.git

2. Navigate to the project directory:

   cd hirst-painting-intermediate

3. Install the required dependencies:

   pip install colorgram.py

Running the Program

1. Ensure Python 3.9 or later is installed on your system.
2. To generate the color list:
   • Run create_color_list.py using an IDE or terminal:

     python create_color_list.py

3. Copy the color list output from the console and paste it into the app.py file.
4. To create the Hirst painting:
   • Run app.py using an IDE or terminal:

     python app.py

5. View the final output image (hirst_painting_final_output.PNG) located in the ./screenshots folder.

Final Output

You can see the Hirst painting output in the file:

• Path: ./screenshots/hirst_painting_final_output.PNG

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Created by Pranjal Sarnaik
© 2024. All rights reserved.

Let me know if you'd like to make further adjustments! 😊