https://github.com/manel15279/computer-vision-dodge-game

A university project consisting of two parts: the first part focuses on implementing various image processing filters and color-based object detection algorithms using Python and OpenCV. The second part involves the development of a dodge game enhanced with real-time object detection for player control.
https://github.com/manel15279/computer-vision-dodge-game

computer-vision dodge-game object-detection opencv python

Last synced: about 1 month ago
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A university project consisting of two parts: the first part focuses on implementing various image processing filters and color-based object detection algorithms using Python and OpenCV. The second part involves the development of a dodge game enhanced with real-time object detection for player control.

• Host: GitHub
• URL: https://github.com/manel15279/computer-vision-dodge-game
• Owner: manel15279
• Created: 2023-12-02T21:57:44.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-18T18:27:09.000Z (10 months ago)
• Last Synced: 2024-10-18T04:58:18.733Z (2 months ago)
• Topics: computer-vision, dodge-game, object-detection, opencv, python
• Language: Python
• Homepage:
• Size: 27.3 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Color-Based Object Detection & Dodge Game Project

## Overview

A university project consisting of two parts: the first part focuses on implementing various image processing filters and color-based object detection algorithms using Python and OpenCV. The second part involves the development of a dodge game - Chicken Escape 🐔🦊, enhanced with real-time object detection for player control.



  



## Part 1: Filters and Object Detection 📸

### Filters Implemented

- Binarization and Thresholding

- Smoothing Filters: Mean, Median, Gaussian

- Edge Detection Filters: Laplacian, Gradient

- Morphological Filters: Erosion, Dilation, Closing, Opening

- Custom Filters: Prewitt, Sobel

### Object Detection

- Developed the "Object_Color_Detection" function for detecting objects based on color.

- Proposed improvements for the object detection function using the Kalman Filter for predicting the position of objects in real-time.

- Implemented two functionalities using object color detection: "Invisibility Cloak" and "Green Screen".

- Developed a graphical user interface (GUI) for applying filters and object detection.

## Part 2: Dodge Game - Chicken Escape 🐔🦊

The Dodge Game is an implementation of computer vision principles in the gaming domain. It offers an immersive gaming experience where players control a chicken 🐔 to navigate through obstacles 🌳 and avoid fox enemies 🦊 using real-time object detection techniques.

### Features

- **Object Detection Control**: Players can control the movement of the character using real-world objects, specifically by manipulating a colored object detected through the camera. The default color is green.

- **Dynamic Obstacle Avoidance**: The game environment presents dynamic obstacles that the player must navigate through by moving the character horizontally.

- **Scoring System**: Players accumulate points based on their performance, with increasing difficulty levels as the game progresses.

- **Enhancements**: Two additional enhancements, such as score tracking or speed variations, contribute to the gameplay experience.

### Gameplay

- **Objective**: Navigate the chicken character through obstacles (foxes and trees) by manipulating a colored object detected through the camera.

- **Controls**:

    - Keyboard Controls:

        - "SPACE" bar: Start or restart the game.

        - "Q": Move the character left.

        - "D": Move the character right.

        - "E": Quit the game.

        - "2": Horizontal movement.

        - "3": Horizontal and vertical movement (Kalman Filter).

    - Object Detection: Control the character's movement by shifting the position of a colored object detected through the camera.

## Installation

To run the project, follow these steps:

1. Ensure Python is installed on your system.

2. Install the necessary libraries: `pip install -r requirements.txt`.

3. Run the project: `python IHM.py`.

4. Interface Buttons:

    - Object Detection: Start detecting and tracking the object using your webcam. (default color is green)

    - Invisibility: Activate the invisibility mode to make the object disappear against a background.

    - Fond Vert: Apply the green screen effect to replace the background with a custom image.

    - Stop: Stop the object detection or background effect.

    - Clean: Clear the canvas.

    - Game: Run the dodge game window.

    - Moyen: Apply the mean filter to the displayed image.

    - Median: Apply the median filter to the displayed image.

    - Gradient: Apply the gradient filter to the displayed image.

    - Gaussien: Apply the Gaussian filter to the displayed image.

    - Laplacien: Apply the Laplacian filter to the displayed image.

    - Erode/Dilate: Apply morphological operations (erosion and dilation) to the displayed image.

    - Closing/Opening: Apply morphological operations (closing and opening) to the displayed image.

    - Prewitt(H/V): Apply the Prewitt filter (horizontal or vertical) to the displayed image.

    - Sobel: Apply the Sobel filter to the displayed image.

    - Threshold and Type Adjustments: Adjust the threshold and type for thresholding using the scales provided.