帮我使用python调用OpenCV库来实现颜色识别完整代码

很高兴回答你的问题。以下是使用 Python 调用 OpenCV 库实现颜色识别的完整代码：

import cv2
import numpy as np

# 定义颜色范围
lower_red = np.array([, 50, 50])
upper_red = np.array([10, 255, 255])
lower_blue = np.array([110, 50, 50])
upper_blue = np.array([130, 255, 255])
lower_green = np.array([50, 50, 50])
upper_green = np.array([70, 255, 255])

# 打开摄像头
cap = cv2.VideoCapture()

while True:
    # 读取摄像头中的图像
    ret, frame = cap.read()

    # 将图像转换为 HSV 格式
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    # 根据颜色范围进行颜色识别
    mask_red = cv2.inRange(hsv, lower_red, upper_red)
    mask_blue = cv2.inRange(hsv, lower_blue, upper_blue)
    mask_green = cv2.inRange(hsv, lower_green, upper_green)

    # 将识别出的颜色用矩形框出来
    contours_red, _ = cv2.findContours(mask_red, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    for contour in contours_red:
        x, y, w, h = cv2.boundingRect(contour)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (, , 255), 2)

    contours_blue, _ = cv2.findContours(mask_blue, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    for contour in contours_blue:
        x, y, w, h = cv2.boundingRect(contour)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, , ), 2)

    contours_green, _ = cv2.findContours(mask_green, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
    for contour in contours_green:
        x, y, w, h = cv2.boundingRect(contour)
        cv2.rectangle(frame, (x, y), (x + w, y + h), (, 255, ), 2)

    # 显示识别结果
    cv2.imshow('frame', frame)

    # 按下 q 键退出程序
    if cv2.waitKey(1) & xFF == ord('q'):
        break

# 释放摄像头并关闭窗口
cap.release()
cv2.destroyAllWindows()

希望这个代码对你有所帮助！