AR (Augmented Reality) Game
Abstract
AR (Augmented Reality) Game is a Python project that uses computer vision to create interactive augmented reality experiences. The application features object tracking, game logic, and a CLI interface, demonstrating best practices in AR development and computer vision.
Prerequisites
- Python 3.8 or above
- A code editor or IDE
- Basic understanding of computer vision and AR
- Required libraries:
opencv-python
opencv-python
,numpy
numpy
Before you Start
Install Python and the required libraries:
Install dependencies
pip install opencv-python numpy
Install dependencies
pip install opencv-python numpy
Getting Started
Create a Project
- Create a folder named
ar-augmented-reality-game
ar-augmented-reality-game
. - Open the folder in your code editor or IDE.
- Create a file named
ar_augmented_reality_game.py
ar_augmented_reality_game.py
. - Copy the code below into your file.
Write the Code
⚙️ AR (Augmented Reality) Game
AR (Augmented Reality) Game
"""
AR (Augmented Reality) Game
Features:
- Marker detection
- Interactive gameplay
- Modular design
- GUI (OpenCV)
- Error handling
"""
import cv2
import numpy as np
import sys
import random
class ARGame:
def __init__(self):
self.marker_color = (0,255,0)
self.score = 0
def detect_marker(self, frame):
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower = np.array([40, 40, 40])
upper = np.array([80, 255, 255])
mask = cv2.inRange(hsv, lower, upper)
cnts, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if cnts:
c = max(cnts, key=cv2.contourArea)
x, y, w, h = cv2.boundingRect(c)
return (x, y, w, h)
return None
def play(self):
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if not ret:
break
marker = self.detect_marker(frame)
if marker:
x, y, w, h = marker
cv2.rectangle(frame, (x, y), (x+w, y+h), self.marker_color, 2)
self.score += 1
cv2.putText(frame, f"Score: {self.score}", (10,30), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,0,0), 2)
cv2.imshow('AR Game', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
try:
game = ARGame()
game.play()
except Exception as e:
print(f"Error: {e}")
sys.exit(1)
AR (Augmented Reality) Game
"""
AR (Augmented Reality) Game
Features:
- Marker detection
- Interactive gameplay
- Modular design
- GUI (OpenCV)
- Error handling
"""
import cv2
import numpy as np
import sys
import random
class ARGame:
def __init__(self):
self.marker_color = (0,255,0)
self.score = 0
def detect_marker(self, frame):
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower = np.array([40, 40, 40])
upper = np.array([80, 255, 255])
mask = cv2.inRange(hsv, lower, upper)
cnts, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
if cnts:
c = max(cnts, key=cv2.contourArea)
x, y, w, h = cv2.boundingRect(c)
return (x, y, w, h)
return None
def play(self):
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if not ret:
break
marker = self.detect_marker(frame)
if marker:
x, y, w, h = marker
cv2.rectangle(frame, (x, y), (x+w, y+h), self.marker_color, 2)
self.score += 1
cv2.putText(frame, f"Score: {self.score}", (10,30), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,0,0), 2)
cv2.imshow('AR Game', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
if __name__ == "__main__":
try:
game = ARGame()
game.play()
except Exception as e:
print(f"Error: {e}")
sys.exit(1)
Example Usage
Run AR game
python ar_augmented_reality_game.py
Run AR game
python ar_augmented_reality_game.py
Explanation
Key Features
- Object Tracking: Uses computer vision for AR interaction.
- Game Logic: Implements interactive AR gameplay.
- Error Handling: Validates inputs and manages exceptions.
- CLI Interface: Interactive command-line usage.
Code Breakdown
- Import Libraries and Setup AR
ar_augmented_reality_game.py
import cv2
import numpy as np
ar_augmented_reality_game.py
import cv2
import numpy as np
- Object Tracking Function
ar_augmented_reality_game.py
def track_object():
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if not ret:
break
# Object tracking logic here
cv2.imshow('AR Game', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
ar_augmented_reality_game.py
def track_object():
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if not ret:
break
# Object tracking logic here
cv2.imshow('AR Game', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()
- CLI Interface and Error Handling
ar_augmented_reality_game.py
def main():
print("AR (Augmented Reality) Game")
while True:
cmd = input('> ')
if cmd == 'play':
track_object()
elif cmd == 'exit':
break
else:
print("Unknown command. Type 'play' or 'exit'.")
if __name__ == "__main__":
main()
ar_augmented_reality_game.py
def main():
print("AR (Augmented Reality) Game")
while True:
cmd = input('> ')
if cmd == 'play':
track_object()
elif cmd == 'exit':
break
else:
print("Unknown command. Type 'play' or 'exit'.")
if __name__ == "__main__":
main()
Features
- AR Game Development: Interactive augmented reality gameplay
- Object Tracking: Uses computer vision for AR
- Error Handling: Manages invalid inputs and exceptions
- Production-Ready: Scalable and maintainable code
Next Steps
Enhance the project by:
- Supporting more AR interactions
- Creating a GUI with Tkinter or a web app with Flask
- Adding game levels and scoring
- Unit testing for reliability
Educational Value
This project teaches:
- AR Development: Object tracking and game logic
- Software Design: Modular, maintainable code
- Error Handling: Writing robust Python code
Real-World Applications
- AR Games
- Educational Tools
- Interactive Media
Conclusion
AR (Augmented Reality) Game demonstrates how to build a scalable and interactive AR game using Python. With modular design and extensibility, this project can be adapted for real-world applications in gaming, education, and more. For more advanced projects, visit Python Central Hub.
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