树莓派利用OpenCV的图像跟踪、人脸识别等

import sys

import cv2

import math

import time

import threading

import numpy as np

import HiwonderSDK.yaml_handle as yaml_handle

if sys.version_info.major == 2:

    print('Please run this program with python3!')

    sys.exit(0)

range_rgb = {

    'red':   (0, 0, 255),

    'blue':  (255, 0, 0),

    'green': (0, 255, 0),

    'black': (0, 0, 0),

    'white': (255, 255, 255)}

__target_color = ('red', 'green', 'blue')

lab_data = yaml_handle.get_yaml_data(yaml_handle.lab_file_path)

# 找出面积最大的轮廓

# 参数为要比较的轮廓的列表

def getAreaMaxContour(contours):

    contour_area_temp = 0

    contour_area_max = 0

    area_max_contour = None

    for c in contours:  # 历遍所有轮廓

        contour_area_temp = math.fabs(cv2.contourArea(c))  # 计算轮廓面积

        if contour_area_temp > contour_area_max:

            contour_area_max = contour_area_temp

            if contour_area_temp > 300:  # 只有在面积大于300时，最大面积的轮廓才是有效的，以过滤干扰