python+opencv处理颜色之将目标颜色转换实例代码

import cv2
import numpy as np

def dectfun(frame):
    # Convert the frame to HSV color space
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    
    # Define the range for red color in HSV
    lower_red1 = np.array([0, 120, 70])
    upper_red1 = np.array([10, 255, 255])
    lower_red2 = np.array([170, 120, 70])
    upper_red2 = np.array([180, 255, 255])
    
    # Create a mask for red color
    mask1 = cv2.inRange(hsv, lower_red1, upper_red1)
    mask2 = cv2.inRange(hsv, lower_red2, upper_red2)
    mask = mask1 + mask2
    
    # Create an output image to show the detected red regions in green
    result = frame.copy()
    result[mask > 0] = [0, 255, 0]  # Change red regions to green
    
    return result

def main():
    # Open the webcam
    cap = cv2.VideoCapture(1)
    while True:
        # Read a frame
        ret, frame = cap.read()
        if not ret:
            break
        
        # Detect red regions and highlight them
        result = dectfun(frame)
        
        # Display the result
        cv2.imshow("Frame", result)
        
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    
    # Release the webcam and close all windows
    cap.release()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    main()

 hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

lower_red1 = np.array([0, 120, 70])
upper_red1 = np.array([10, 255, 255])
lower_red2 = np.array([170, 120, 70])
upper_red2 = np.array([180, 255, 255])

# Create a mask for red color
mask1 = cv2.inRange(hsv, lower_red1, upper_red1)
mask2 = cv2.inRange(hsv, lower_red2, upper_red2)
mask = mask1 + mask2

    # Create an output image to show the detected red regions in green
    result = frame.copy()
    result[mask > 0] = [0, 255, 0]  # Change red regions to green
    
    return result