通过TCP

如何解决通过TCP

我的程序有问题,我试图发送从MLX90640收集的图像,这要感谢Raspberry在远程PC上处理它们。 我正在使用Raspberry 4作为客户端,数据被路由到PC。我正在使用套接字来启动要接收的服务器以及图像和热图像。对于连接到相机的图像,我已经解决了,我的问题是转印热图像。我目前正在使用与手机共享的wifi连接进行测试。如有必要,我将发布服务器代码。但是我有此错误消息,我尝试了许多解决方案,但没有找到。实际上,Raspberry是客户端,而PC是服务器。因此,我从覆盆子收集数据,然后将其传输到PC进行处理。我想检测脸部的温度,为此,连接到Raspberry的MLX90640必须发送热数据。知道它收集了768个值,所以我希望将这些值传输或将最大值返回给PC。有人可以帮我吗

import cv2
import io
import socket
import struct
import time
import pickle
import zlib
import adafruit_mlx90640
import board
import busio
import numpy as np

client_socket = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
client_socket.connect(('192.168.43.134',8485))
connection = client_socket.makefile('wb')
i2c = busio.I2C(board.SCL,board.SDA,frequency=800000)
mlx = adafruit_mlx90640.MLX90640(i2c)
print("MLX addr detected on I2C")
print([hex(i) for i in mlx.serial_number])
mlx.refresh_rate = adafruit_mlx90640.RefreshRate.REFRESH_4_HZ
frame1 = np.zeros((24*32,))
#max_t=0
#moy = 0
#cam = cv2.VideoCapture(0)

#mlx.set(3,32);
#mlx.set(4,24);

img_counter = 0

encode_param = [int(cv2.IMWRITE_JPEG_QUALITY),90]

while True:
    frame = mlx.getFrame(frame1)
    result,frame = cv2.imencode('.jpg',frame,encode_param)
#    data = zlib.compress(pickle.dumps(frame,0))
    data = pickle.dumps(frame,0)
    size = len(data)

    print("{}: {}".format(img_counter,size))
    client_socket.sendall(struct.pack(">L",size) + data)
    img_counter += 1

```Traceback (most recent call last): File "client1.py",line 37,in <module> result,encode_param) cv2.error: OpenCV(4.1.1) /home/pi/opencv/modules/imgcodecs/src/grfmt_base.cpp:145: error: (-10:Unknown error code -10) Raw image encoder error: Empty JPEG image (DNL not supported) in function 'throwOnEror'

解决方法

您是否在Raspberry pi上获得了散热?我做了类似的方法,但是我没有使用热像仪。如果您的问题无法将图像从raspberry pi传输到您的计算机

Raspberry pi上的服务器代码

#!/usr/bin/env python3
import os
import datetime
import numpy as np
import cv2
import sys
import socket
import select
import queue
import pickle
import struct
import time
from threading import Thread

class WebcamVideoStream:
    def __init__(self,src=0):
        self.stream = cv2.VideoCapture(src)
        cv2.VideoWriter_fourcc('M','J','P','G')
        self.stream .set(cv2.CAP_PROP_BUFFERSIZE,1)
        self.stream .set(5,60)
        self.stream .set(3,640)
        self.stream .set(4,480)
        (self.grabbed,self.frame) = self.stream.read()
        self.stopped = False

    def start(self):
        Thread(target=self.update,args=()).start()
        return self
    def update(self):
        while True:
            if self.stopped:
                return
            (self.grabbed,self.frame) = self.stream.read()
            time.sleep(0.1)
    def read(self):
        img= cv2.cvtColor(self.frame,cv2.COLOR_BGR2GRAY)
        data = pickle.dumps(img)
        return data
    def stop(self):
        self.stopped = True


def commandParser(cmd,stream):
    reply = ""
    if(cmd == "getimage"):
        reply = stream.read()
        time.sleep(0.1)
    else:
        reply = '/n'.encode()
    return(reply)

if __name__ == '__main__':
    camera_idx = 0
    for i in range(3):
        stream = cv2.VideoCapture(i)
        test,frame = stream.read()
        stream.release()
        if test == True:
            camera_idx = i
            break
    #stream = cv2.VideoCapture(camera_idx)
    vs = WebcamVideoStream(src=camera_idx).start()

    server = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
    port = 8080
    server.bind(('192.168.128.14',port))
    server.listen(5)
    inputs = [server]
    outputs = []
    message_queues = {}
    cmd =""
    while inputs:
        readable,writable,exceptional = select.select(inputs,outputs,inputs,1)
        for s in readable:
            if s is server:
                connection,client_address = s.accept()
                inputs.append(connection)
                message_queues[connection] = queue.Queue(1024)
            else:
                data = s.recv(4096)
                if data:
                    cmd = data.decode()
                    message_queues[s].put(commandParser(data.decode(),vs))
                    if s not in outputs:
                                    outputs.append(s)
                else:
                    if s in outputs:
                        outputs.remove(s)
                    inputs.remove(s)
                    s.close()
                    del message_queues[s]

        for s in writable:
            try:
                next_msg = message_queues[s].get_nowait()
            except queue.Empty:
                outputs.remove(s)

            else:
                if(cmd == "getimage"):
                    size = len(next_msg)
                    s.sendall(struct.pack(">L",size) + next_msg)
                else:
                    s.send("ABCDEFGHIJKLMNONOOO".encode())


        for s in exceptional:
            print ('handling exceptional condition for',s.getpeername())
            inputs.remove(s)
            if s in outputs:
                outputs.remove(s)
            s.close()
            del message_queues[s]
    vs.stop() 

PC上的客户端代码

#!/usr/bin/env python3
import os
import datetime
import numpy as np
import cv2
import socket
import socket
import sys
import pickle
import struct ## new
import zlib
import time

server_address = ('192.168.128.14',8080)



s =  socket.socket(socket.AF_INET,socket.SOCK_STREAM)
#print ('connecting to %s port %s' % server_address)
s.connect(server_address)

cv2.namedWindow('Streaming')
payload_size = struct.calcsize(">L")

while True:
    s.send("getimage".encode())

    data = b""
    while len(data) < payload_size:
        data += s.recv(4096)

    packed_msg_size = data[:payload_size]
    data = data[payload_size:]
    msg_size = struct.unpack(">L",packed_msg_size)[0]
    while len(data) < msg_size:
        data += s.recv(4096)
    frame_data = data[:msg_size]
    data = data[msg_size:]
    frame=pickle.loads(frame_data,fix_imports=True,encoding="bytes")
    cv2.imshow('Streaming',frame)
    cv2.waitKey(1)
    #cv2.imwrite("test.tiff",frame)
s.close()

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


依赖报错 idea导入项目后依赖报错,解决方案:https://blog.csdn.net/weixin_42420249/article/details/81191861 依赖版本报错:更换其他版本 无法下载依赖可参考:https://blog.csdn.net/weixin_42628809/a
错误1:代码生成器依赖和mybatis依赖冲突 启动项目时报错如下 2021-12-03 13:33:33.927 ERROR 7228 [ main] o.s.b.d.LoggingFailureAnalysisReporter : *************************** APPL
错误1:gradle项目控制台输出为乱码 # 解决方案:https://blog.csdn.net/weixin_43501566/article/details/112482302 # 在gradle-wrapper.properties 添加以下内容 org.gradle.jvmargs=-Df
错误还原:在查询的过程中,传入的workType为0时,该条件不起作用 &lt;select id=&quot;xxx&quot;&gt; SELECT di.id, di.name, di.work_type, di.updated... &lt;where&gt; &lt;if test=&qu
报错如下,gcc版本太低 ^ server.c:5346:31: 错误:‘struct redisServer’没有名为‘server_cpulist’的成员 redisSetCpuAffinity(server.server_cpulist); ^ server.c: 在函数‘hasActiveC
解决方案1 1、改项目中.idea/workspace.xml配置文件,增加dynamic.classpath参数 2、搜索PropertiesComponent,添加如下 &lt;property name=&quot;dynamic.classpath&quot; value=&quot;tru
删除根组件app.vue中的默认代码后报错:Module Error (from ./node_modules/eslint-loader/index.js): 解决方案:关闭ESlint代码检测,在项目根目录创建vue.config.js,在文件中添加 module.exports = { lin
查看spark默认的python版本 [root@master day27]# pyspark /home/software/spark-2.3.4-bin-hadoop2.7/conf/spark-env.sh: line 2: /usr/local/hadoop/bin/hadoop: No s
使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams[&#39;font.sans-serif&#39;] = [&#39;SimHei&#39;] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -&gt; systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping(&quot;/hires&quot;) public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate&lt;String
使用vite构建项目报错 C:\Users\ychen\work&gt;npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-