视频识别函数##
作者：互联网
视频识别函数##
#!/usr/bin/env python
# encoding: utf-8
# author: zs
# license: (C) Copyright 2019-2020
# software: pycharm
# file: HDliveObjDetection.py
# time: 2020/4/10 下午4:16
import cv2
import time
import requests
import base64
from PIL import Image,ImageDraw,ImageFont
import numpy as np
import serial #导入serial函数
import RPi.GPIO as GPIO
fon = cv2.FONT_HERSHEY_SIMPLEX
font = ImageFont.truetype("simsun.ttc", 30, encoding="utf-8") # 参数1：字体文件路径，参数2：字体大小
ser = serial.Serial('/dev/ttyAMA0', 9600)#使用树莓派的GPIO口连接串行口，TTYS0根据自己系统设置，115200为波特率
if ser.isOpen == False: #看看这个串口是否已经被打开
ser.open() # 打开串口
ser.flushInput()
def get_data(imgarray, score_thr):
retval, buffer = cv2.imencode('.jpg', imgarray)
image = str(base64.b64encode(buffer), 'utf-8')
json_data = {'image': image, 'score_thr': score_thr}
st = time.time()
r = requests.post("http://172.16.16.209:5005/decimage", json=json_data).text #设置另一台机器端口号
et = time.time()
objs = r.encode('utf-8').decode('unicode_escape')
print('time', et-st)
return objs
if __name__=='__main__':
cam = cv2.VideoCapture(0) # 调用0号摄像头
color = (255, 0, 0) # 为左上角字体颜色
score_thr = 0.7 #致信率
#count the frame, only one frame test in each N frames
count = 0 #帧数
N = 1 #下面代码对帧数取余使用
print(1) #循环前的检测节点
while cam.isOpened():
count +=1 #帧数自加，之后调整改帧的尺寸
is_opened, frame = cam.read()
frame = cv2.resize(frame, (1280, 720))
print(2) #检测摄像头是否处于开启状态
if count%N==0:
st = time.time()
result = eval(get_data(frame, score_thr))
et = time.time()
num = 0
num1 = 0
num2 = 0
num3 = 0
num4 = 0
print(result)
for re in result: #上下对应
na = re.get('name')
if na == ("Kele") :
#画框
cv2.rectangle(frame, (int(re.get('xmin')), int(re.get('ymin'))),#x轴小，y轴小，x轴大，y轴大，
(int(re.get('xmax')), int(re.get('ymax'))), (0, 0, 255), 4)#四个角坐标，矩形框颜色，四边形
#放文字
cv2.putText(frame, re.get('similarity'), (int(re.get('xmin')), int(re.get('ymax'))), fon, 1, (255, 0, 0), 2)
#获得一体机中'similarity'的信息，坐标，字体，字体大小，字体颜色，字体粗细
num = num + 1 #该品种饮料数量
if na == ("Xuebi") :
cv2.rectangle(frame, (int(re.get('xmin')), int(re.get('ymin'))),
(int(re.get('xmax')), int(re.get('ymax'))), (0, 0, 255), 4)
cv2.putText(frame, re.get('similarity'), (int(re.get('xmin')), int(re.get('ymax'))), fon, 1, (0, 0, 255), 2)
num1 = num1 + 1
if na == ("Sprite") :
cv2.rectangle(frame, (int(re.get('xmin')), int(re.get('ymin'))),
(int(re.get('xmax')), int(re.get('ymax'))), (0, 255, 0), 4)
cv2.putText(frame, re.get('similarity'), (int(re.get('xmin')), int(re.get('ymax'))), fon, 1, (0, 255, 0), 2)
num2 = num2 + 1
if na == ("Fenda") :
cv2.rectangle(frame, (int(re.get('xmin')), int(re.get('ymin'))),
(int(re.get('xmax')), int(re.get('ymax'))), (0,255, 255), 4)
cv2.putText(frame, re.get('similarity'), (int(re.get('xmin')), int(re.get('ymax'))), fon, 1, (0,255, 255), 2)
num3 = num3 + 1
if na == ("Ganten") :
cv2.rectangle(frame, (int(re.get('xmin')), int(re.get('ymin'))),
(int(re.get('xmax')), int(re.get('ymax'))), (255, 0, 0), 4)
cv2.putText(frame, re.get('similarity'), (int(re.get('xmin')), int(re.get('ymax'))), fon, 1, (255, 0, 0), 2)
num4 = num4 + 1
yinliao = num + num1 + num2 + num3 + num4
m_m = 3.5 #美年达单价
k_m = 3.0
x_m = 2.5
f_m = 4.0
g_m = 2.0
s_m = m_m * num2 #美年达总价
s_k = k_m * num
s_x = x_m * num1
s_f = f_m * num3
s_g = g_m * num4
s_z =s_m + s_k + s_x + s_f + s_g #饮料总价
uart5="n5.val="+str(num2)
ser.write((uart5).encode("utf-8"))#发送美年达数量
ser.write(b'\xFF\xFF\xFF') #十六进制
uart6="n6.val="+str(num)
ser.write((uart6).encode("utf-8"))#发送可乐数量
ser.write(b'\xFF\xFF\xFF')
uart7="n7.val="+str(num1)
ser.write((uart7).encode("utf-8"))#发送雪碧数量
ser.write(b'\xFF\xFF\xFF')
uart8="n8.val="+str(num3)
ser.write((uart8).encode("utf-8"))#发送芬达数量
ser.write(b'\xFF\xFF\xFF')
uart9="n9.val="+str(num4)
ser.write((uart9).encode("utf-8"))#发送百岁山数量
ser.write(b'\xFF\xFF\xFF')
uart10="t0.txt="+'"'+str(s_m)+'"' #str(s_m)两边加上'"' 是字符串
ser.write((uart10).encode("utf-8"))#发送美年达总价
ser.write(b'\xFF\xFF\xFF')
uart11="t1.txt="+'"'+str(s_k)+'"'
ser.write((uart11).encode("utf-8"))#发送可乐总价
ser.write(b'\xFF\xFF\xFF')
uart12="t2.txt="+'"'+str(s_x)+'"'
ser.write((uart12).encode("utf-8"))#发送雪碧总价
ser.write(b'\xFF\xFF\xFF')
print(uart12)
uart14="t3.txt="+'"'+str(s_f)+'"'
ser.write((uart14).encode("utf-8"))#发送芬达总价
ser.write(b'\xFF\xFF\xFF')
uart13="t4.txt="+'"'+str(s_g)+'"'
ser.write((uart13).encode("utf-8"))#发送百岁山总价
ser.write(b'\xFF\xFF\xFF')
cv2img = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
pilimg = Image.fromarray(cv2img)
draw = ImageDraw.Draw(pilimg)
draw.text((60,10),"智能零售系统",(255,255,255),font=font)
draw.text((10,40)," 名称 数量 单价 金额"+'\n'+'可乐 : '+str(num)+' '+str(k_m)+' '+str(s_k)+'\n'+'雪碧 : '+str(num1)+' '+str(x_m)+' '+str(s_x)+'\n'+'芬达 : '+str(num3)+' '+str(f_m)+' '+str(s_f)+'\n'+'百岁山: '+str(num4)+' '+str(g_m)+' '+str(s_g)+'\n'+'美年达: '+str(num2)+' '+str(m_m)+' '+str(s_m)+'\n'+'共计 : '+str(yinliao)+' '+str(s_z),(255,255,255),font=font)
cv2charimg = cv2.cvtColor(np.array(pilimg), cv2.COLOR_RGB2BGR)
cv2.namedWindow('retail',cv2.WINDOW_FREERATIO)
cv2.resizeWindow('retail',1820,920)
cv2.imshow('retail', cv2charimg)
cv2.waitKey(1)
k = cv2.waitKey(10) & 0xff
if k == 27:
break
cam.release()
cv2.destroyAllWindows()
ser.write("page 0".encode("utf-8"))#发送可乐总价
ser.write(b'\xFF\xFF\xFF')
ser.flushInput()
ser.close()
标签：视频,ser,get,##,xFF,re,int,str,识别 来源： https://blog.csdn.net/weixin_51322313/article/details/111186882