使用Python来做颜色识别，使用了openCV

import cv2
import numpy as np
import time
class ColorTac(object):def colorTacing(self):print('-*-COLOR TACKING MODE-*-')print('you can input:blue,red,yellow,green,purple.and must input one')color = input("Color tracking is ready. Choose one color you want tacking. ")#默认识别蓝色color_lower = np.array([100, 43, 46])color_upper = np.array([124, 255, 255])if color == 'blue':color_lower = np.array([100, 43, 46])color_upper = np.array([124, 255, 255])elif color == 'red':color_lower = np.array([0, 43, 46])color_upper = np.array([10, 255, 255])elif color == 'yellow':color_lower = np.array([26, 43, 46])color_upper = np.array([34, 255, 255])elif color == 'green':color_lower = np.array([35, 43, 46])color_upper = np.array([77, 255, 255])elif color == 'purple':color_lower = np.array([125, 43, 46])color_upper = np.array([155, 255, 255])else:print("You should input a color to tacking.")cap = cv2.VideoCapture(0)cap.set(3, 320)cap.set(4, 240)time_start = time.time()while True:time_end = time.time()if time_end - time_start > 30:breakret, frame = cap.read()frame = cv2.GaussianBlur(frame, (5, 5), 0)hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)mask = cv2.inRange(hsv, color_lower, color_upper)# 图像学膨胀腐蚀mask = cv2.erode(mask, None, iterations=2)mask = cv2.GaussianBlur(mask, (3, 3), 0)res = cv2.bitwise_and(frame, frame, mask=mask)# 寻找轮廓并绘制轮廓cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]if len(cnts) > 0:# 寻找面积最大的轮廓并画出其最小外接圆cnt = max(cnts, key=cv2.contourArea)(x, y), radius = cv2.minEnclosingCircle(cnt)cv2.circle(frame, (int(x), int(y)), int(radius), (255, 0, 255), 2)# 找到物体的位置坐标,获得颜色物体的位置，可以来控制小车的转向print(int(x), int(y))else:passcv2.imshow('frame', frame)cv2.imshow('mask', mask)cv2.imshow('res', res)if cv2.waitKey(5) & 0xFF == 27:breakcap.release()cv2.destroyAllWindows()
colortac = ColorTac()
colortac.colorTacing()

测试效果

识别绿色

输入自己想要识别的颜色即可，也可以拓展颜色就是多添加几个Hsv的色域。