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| 1 | + |
| 2 | +#### File: `virtual_painter.py` |
| 3 | +```python |
| 4 | +import cv2 |
| 5 | +import numpy as np |
| 6 | + |
| 7 | +# Set up the color ranges for detection (e.g., blue pen) |
| 8 | +lower_blue = np.array([100, 150, 0]) |
| 9 | +upper_blue = np.array([140, 255, 255]) |
| 10 | + |
| 11 | +# Initialize a blank canvas to draw on |
| 12 | +canvas = np.zeros((480, 640, 3), dtype="uint8") |
| 13 | + |
| 14 | +# Start video capture |
| 15 | +cap = cv2.VideoCapture(0) |
| 16 | + |
| 17 | +while True: |
| 18 | + ret, frame = cap.read() |
| 19 | + if not ret: |
| 20 | + break |
| 21 | + |
| 22 | + # Convert to HSV color space for color detection |
| 23 | + hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) |
| 24 | + |
| 25 | + # Create a mask for detecting the blue color |
| 26 | + mask = cv2.inRange(hsv, lower_blue, upper_blue) |
| 27 | + |
| 28 | + # Find contours of the detected blue object |
| 29 | + contours, _ = cv2.findContours(mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) |
| 30 | + |
| 31 | + if contours: |
| 32 | + # Get the largest contour (assuming it's the pen) |
| 33 | + max_contour = max(contours, key=cv2.contourArea) |
| 34 | + |
| 35 | + # Get the center of the contour (i.e., the tip of the pen) |
| 36 | + (x, y), radius = cv2.minEnclosingCircle(max_contour) |
| 37 | + center = (int(x), int(y)) |
| 38 | + |
| 39 | + # Draw on the canvas at the detected position |
| 40 | + cv2.circle(canvas, center, 5, (255, 0, 0), -1) |
| 41 | + |
| 42 | + # Merge the original frame with the canvas |
| 43 | + combined = cv2.add(frame, canvas) |
| 44 | + |
| 45 | + # Display the result |
| 46 | + cv2.imshow('Virtual Painter', combined) |
| 47 | + |
| 48 | + if cv2.waitKey(1) & 0xFF == ord('q'): |
| 49 | + break |
| 50 | + |
| 51 | +cap.release() |
| 52 | +cv2.destroyAllWindows() |
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