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import cv2
import numpy as np
class Game:
def __init__(self) -> None:
# Open the webcame (0 is usually the default)
self.cap = cv2.VideoCapture(0)
def loop(self) -> None:
while True:
# Read frame
ret, frame = self.cap.read()
# If frame is not returned, break
if not ret:
break
# Convert frame from RGB to HSV, and define frame used for detection
det_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
# Define lower green and upper green
lower_green = np.array([60, 100, 100])
upper_green = np.array([100, 255, 255])
# Define green mask
green_mask = cv2.inRange(det_frame, lower_green, upper_green)
# Detect contours
contours, _ = cv2.findContours(green_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# Find largest contour
largest_contour = max(contours, key=cv2.contourArea) if contours else None
# If largest contour is present, draw a green rectangle
if largest_contour is not None:
x, y, w, h = cv2.boundingRect(largest_contour)
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
# Show frame
cv2.imshow('Foot Tracking', frame)
# Quit if 'q' is pressed
if cv2.waitKey(1) & 0xFF == ord('q'):
self.stop()
def stop(self) -> None:
# Release captured webcam
self.cap.release()
# Destroy all CV2 Windows
cv2.destroyAllWindows()
if __name__ == '__main__':
game = Game()
game.loop()
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