https://github.com/alok-ahirrao/playing_with_computer_vision
🎮 Computer Vision Games in Python! Hill climbing racing with hand detection, stack builder, pin pong ball, and dino game. Explore immersive gameplay with cutting-edge tech. Join me on this coding adventure! 🚀
https://github.com/alok-ahirrao/playing_with_computer_vision
computer-vision gui machine-learning machine-learning-algorithms project-based-learning pyautogui python
Last synced: 6 months ago
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🎮 Computer Vision Games in Python! Hill climbing racing with hand detection, stack builder, pin pong ball, and dino game. Explore immersive gameplay with cutting-edge tech. Join me on this coding adventure! 🚀
- Host: GitHub
- URL: https://github.com/alok-ahirrao/playing_with_computer_vision
- Owner: alok-ahirrao
- License: other
- Created: 2023-07-03T10:29:11.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-02-26T15:37:15.000Z (8 months ago)
- Last Synced: 2025-02-26T16:37:52.664Z (8 months ago)
- Topics: computer-vision, gui, machine-learning, machine-learning-algorithms, project-based-learning, pyautogui, python
- Language: Python
- Homepage:
- Size: 1.27 MB
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Playing with Computer Vision
[](https://www.linkedin.com/in/alokahirrao/)
## GUI
### Games Overview:
1. **Tower Building**
- [Play Tower Building on Microsoft Store](https://apps.microsoft.com/detail/9MXKDQKFJGBJ?hl=en-us&gl=IN&ocid=pdpshare)
2. **Hill Climb Racing**
- [Play Hill Climb Racing on Microsoft Store](https://apps.microsoft.com/detail/9WZDNCRDCWK8?hl=en&gl=IN&ocid=pdpshare)
3. **Dino Game**
- [Play Dino Game Online](https://www.google.com/search?q=dino+game) (Simply search "Dino Game" in Google for offline play or play directly in your browser when disconnected from the internet!)
4. **Pong Classic**
- This game is built in the project code using **OpenCV**. It’s a classic Pong game where you control paddles with hand gestures.
### Features:
- **Hand Gesture Recognition** using OpenCV and MediaPipe.
- **Key Simulation** through custom key press libraries.
- **Interactive GUI** to select and play different games.
---
### Files and Formats:
```
/my-project
│
├── .idea/ # IDE configuration files (used by JetBrains IDEs like PyCharm)
├── Resources/ # Folder containing all background images and game-related assets
│ ├── Background.png # Background image used in the GUI
│ └── gameOver.png # Game over screen image
├── __pycache__/ # Automatically generated folder by Python containing compiled bytecode files
├── img_re/ # Folder for storing image-related resources
│ ├── dino.png # Example image for the Dino game
│ └── pong_ball.png # Example image for the Pong game
├── .gitattributes # Git configuration file for line endings and attributes
├── GUI.py # Python script for the Graphical User Interface (GUI)
├── README.md # Project documentation
├── directkeys1.py # Python script for simulating key presses for Game 1
├── directkeys2.py # Python script for simulating key presses for Game 2
├── directkeys3.py # Python script for simulating key presses for Game 3
├── game1.png # Image file (PNG format) used for displaying the button for Game 1
├── game2.png # Image file (PNG format) used for displaying the button for Game 2
├── game3.png # Image file (PNG format) used for displaying the button for Game 3
├── game4.png # Image file (PNG format) used for displaying the button for Game 4
├── hand_landmarks.png # Image file (PNG format) used for visualizing hand landmarks
├── main.py # Python script that runs the game control system
└── requirements.txt # File listing all the dependencies for the project
```
---
### How to Run:
1. **Run the Game GUI**:
- To start the game, **run `main.py` first**. This will launch the GUI where you can select the game.
```bash
python main.py
```
2. **Select a Game**:
- You will see the four game options in the GUI:
- **Tower Building**
- **Hill Climb Racing**
- **Dino Game**
- **Pong Classic**
3. **Control the Game**:
- **Hand gestures** will control the game.
- Use gestures to simulate pressing keys like **"Space"** for jumping, **"Enter"** for selecting, or **"Left/Right arrows** for movement, depending on the game selected.
4. **Libraries**:
- Install the required libraries by running:
```bash
pip install -r requirements.txt
```
5. **Game Control**:
- The games are controlled using **hand gestures** detected through **OpenCV** and **MediaPipe**.
---
### Conclusion
This project demonstrates how to build a **hand-gesture-controlled gaming system** using **OpenCV** and **MediaPipe**. By using this directory structure and the accompanying Python scripts, you can easily manage the assets, game logic, and interface for an interactive game.