获取图像最亮的点

#!/usr/bin/python
# -*- coding: utf-8 -*-
import cv2
import numpy as np
cap = cv2.VideoCapture(1)

# 为保存视频做准备
#cap.set(3,160)#宽
#cap.set(4,120)#高
#sz = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)),
       #int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
#fourcc = cv2.VideoWriter_fourcc(*'MJPG')
#fps=25
#out = cv2.VideoWriter('output2.avi', fourcc,fps,sz)

while True:
    # 一帧一帧的获取图像
    ret,frame = cap.read()
    if ret == True:
        
        # 开始保存视频
        #out.write(frame)
        
        image_fire_re= cv2.resize(frame,(320,240),interpolation=cv2.INTER_CUBIC)
        image_fire_gary=cv2.cvtColor(image_fire_re,cv2.COLOR_RGB2GRAY)
        
        # 利用cv2.minMaxLoc寻找到图像中最亮和最暗的点
        # 应用高斯模糊进行预处理
        gray = cv2.GaussianBlur(image_fire_gary, (5, 5), 0)
        (minVal, maxVal, minLoc, maxLoc) = cv2.minMaxLoc(gray)
        # 在图像中绘制结果
        cv2.circle(image, maxLoc, 5, (255, 0, 0), 2)

        # 显示结果帧
        cv2.imshow("frame", image_fire_re)
        cv2.waitKey(3)
        cv2.imshow("framegray", image_fire_gary)
        cv2.waitKey(3)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    else:
        break
# 释放摄像头资源
cap.release()
#out.release()

标签：fire,最亮,image,cap,cv2,获取,图像,fourcc,frame
来源： https://www.cnblogs.com/kekeoutlook/p/13557207.html