<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Yang_4881002的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/Yang_4881002</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; Yang_4881002]]></copyright><item><title><![CDATA[python 通信协议16进制高4位低4位转ASCII码]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/130455780</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/130455780</guid><author>Yang_4881002</author><pubDate>Mon, 01 May 2023 14:40:01 +0800</pubDate><description><![CDATA[遇到一个通信协议，需要将16 进制的高 4 位和低 4 位用ASCII 码表示。如地址为 0x01 时，16 进制的高 4 位和低 4 位 ASCII 码表示为‘0’和‘1’，对应 16 进制表示为 0x30 和 0x31；接下来将用python 实现。]]></description><category></category></item><item><title><![CDATA[三维数组理解]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/129922122</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/129922122</guid><author>Yang_4881002</author><pubDate>Mon, 03 Apr 2023 09:37:37 +0800</pubDate><description><![CDATA[【代码】三维数组理解。]]></description><category></category></item><item><title><![CDATA[20221126V100服务器环境的安装库]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/128055754</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/128055754</guid><author>Yang_4881002</author><pubDate>Sat, 26 Nov 2022 19:20:15 +0800</pubDate><description><![CDATA[20221126V100服务器环境的安装库]]></description><category></category></item><item><title><![CDATA[PyTorch的nn.Linear()详解]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/127900126</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/127900126</guid><author>Yang_4881002</author><pubDate>Thu, 17 Nov 2022 11:16:40 +0800</pubDate><description><![CDATA[PyTorch的nn.Linear()详解]]></description><category></category></item><item><title><![CDATA[“NTU RGB+D“ Action Recognition Datasets下载方法（成功）]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/127861779</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/127861779</guid><author>Yang_4881002</author><pubDate>Tue, 15 Nov 2022 11:13:14 +0800</pubDate><description><![CDATA["NTU RGB+D" Action Recognition Datasets下载方法（成功）]]></description><category></category></item><item><title><![CDATA[CLion软件里 类的封装与打包，CMakelists设置]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/127240501</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/127240501</guid><author>Yang_4881002</author><pubDate>Mon, 10 Oct 2022 11:11:03 +0800</pubDate><description><![CDATA[Clion软件 类的封装与打包，CMakelists设置]]></description><category></category></item><item><title><![CDATA[visual studio windows 系统环境路径配置（和属性管理器配置）和一些使用问题和解决方法]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/127169074</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/127169074</guid><author>Yang_4881002</author><pubDate>Wed, 05 Oct 2022 09:04:58 +0800</pubDate><description><![CDATA[visual studio windows 系统环境路径配置和一些使用问题和解决方法]]></description><category></category></item><item><title><![CDATA[visual studio 2013和visual studio 2015下载链接 老版本VS]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/127169008</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/127169008</guid><author>Yang_4881002</author><pubDate>Wed, 05 Oct 2022 08:53:15 +0800</pubDate><description><![CDATA[visual studio 2013和visual studio 2015下载链接]]></description><category></category></item><item><title><![CDATA[魔兽争霸地图修改（三国列传，又名：三国列传之真策略无双3.0 A）]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/126371692</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/126371692</guid><author>Yang_4881002</author><pubDate>Tue, 16 Aug 2022 18:37:04 +0800</pubDate><description><![CDATA[魔兽争霸地图修改（三国列传，又名：三国列传之真策略无双3.0 A）]]></description><category></category></item><item><title><![CDATA[win10打开视频显示HEVC视频扩展]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/126164410</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/126164410</guid><author>Yang_4881002</author><pubDate>Thu, 04 Aug 2022 18:14:18 +0800</pubDate><description><![CDATA[win10打开视频显示HEVC视频扩展]]></description><category></category></item><item><title><![CDATA[两台电脑，网线直接相连，设置好IP地址以后，不能ping通]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124842793</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124842793</guid><author>Yang_4881002</author><pubDate>Wed, 18 May 2022 15:05:54 +0800</pubDate><description><![CDATA[参考连接：
https://blog.youkuaiyun.com/rainbow702/article/details/50518391
两台电脑直接用网线或者用交换机连接，那么修改两台主机掩码为：255.255.0.0
设置好IPv4的地址，在CMD里，互相ping
将“文件和打印机共享”这一通信规则开启就可以了

...]]></description><category></category></item><item><title><![CDATA[pyinstaller 打包 torch\_jit_internal.py:750: UserWarning: Unable to retrieve source for @torch.jit._ov]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124835983</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124835983</guid><author>Yang_4881002</author><pubDate>Wed, 18 May 2022 09:58:13 +0800</pubDate><description><![CDATA[运行的时候不报错，但是打包以后，由于调用了pytorch，所以报了如下错误
torch\_jit_internal.py:750: UserWarning: Unable to retrieve source for @torch.jit._overload function: &lt;function _DenseLayer.forward at 0x0000012D8ED93310&gt;.
  warnings.warn(f"Unable to retrieve source for @torch.j]]></description><category></category></item><item><title><![CDATA[python通过pytorch 输出torch版本、cuda名和显卡参数型号]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124835049</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124835049</guid><author>Yang_4881002</author><pubDate>Wed, 18 May 2022 09:25:12 +0800</pubDate><description><![CDATA[代码来源是
yoloV5 里的代码

可以看到他输出了pytorch版本、显卡序号和显卡版本和显存信息
代码的位置是在 yolov5-utils-torch_utils.py文件里
源码如下：

def select_device(device='', batch_size=None):
    # device = 'cpu' or '0' or '0,1,2,3'
    s = f'YOLOv5 🚀 {git_describe() or date_modified()} torch {torch.__]]></description><category></category></item><item><title><![CDATA[ubuntu18.04/linux安装ffmpeg 遇到的错误]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124592938</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124592938</guid><author>Yang_4881002</author><pubDate>Thu, 05 May 2022 17:24:42 +0800</pubDate><description><![CDATA[首先我发现我的系统里没有ffmpeg
然后就在网上搜，按照以下这个网页进行安装：
Ubuntu安装FFMPEG及简单使⽤
用来这三个命令：
sudo add-apt-repository ppa:kirillshkrogalev/ffmpeg-next
sudo apt update
sudo apt install ffmpe

结果无法sudo apt update
报错E: 仓库 “http://ppa.launchpad.net/kirillshkrogalev/ffmpeg-next/ubuntu]]></description><category></category></item><item><title><![CDATA[linux 常用命令（含安装pytorch，tensorflow，cuda=10.2）]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124570660</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124570660</guid><author>Yang_4881002</author><pubDate>Wed, 04 May 2022 14:42:55 +0800</pubDate><description><![CDATA[个人用总结：
1.重启网络设置
sudo service network-manager restart
2.查看显卡驱动
sudo nvidia-smi
3.查看cuda
nvcc --version
4.配置环境变量，使用gedit ~/.bashrc指令打开文件
5.ubuntu中/usr目录下无法直接复制粘贴文件或目录
遇到问题：直接鼠标右键复制粘贴或ctrl+c     ctrl+v不管用
利用终端窗口
sudo cp -r+“空格”+~/你要复制的文件的原目录/你要复制的文件+“空格”+/usr]]></description><category></category></item><item><title><![CDATA[ssv2 分割图片代码]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124438542</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124438542</guid><author>Yang_4881002</author><pubDate>Tue, 26 Apr 2022 22:06:22 +0800</pubDate><description><![CDATA[# Code for "TSM: Temporal Shift Module for Efficient Video Understanding"


import os
import threading

NUM_THREADS = 100
VIDEO_ROOT = '/ssd/video/something/v2/20bn-something-something-v2'         # Downloaded webm videos
FRAME_ROOT = '/ssd/video/something]]></description><category></category></item><item><title><![CDATA[NVIDIA TensorRT （python win10）安装成功分享]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124292512</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124292512</guid><author>Yang_4881002</author><pubDate>Wed, 20 Apr 2022 11:04:23 +0800</pubDate><description><![CDATA[TensorRT 下载网址：
https://developer.nvidia.com/nvidia-tensorrt-8x-download
https://developer.nvidia.com/nvidia-tensorrt-7x-download
https://developer.nvidia.com/nvidia-tensorrt-6x-download
主要是 for linux 也有windows

安装参考https://blog.youkuaiyun.com/hhhhhhhhhhwwwwwwwww]]></description><category></category></item><item><title><![CDATA[遇到的一个错误]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124276128</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124276128</guid><author>Yang_4881002</author><pubDate>Tue, 19 Apr 2022 15:59:56 +0800</pubDate><description><![CDATA[Traceback (most recent call last):
 File "&lt;string&gt;", line 1, in &lt;module&gt;
 File "D:\program\miniconda\lib\multiprocessing\spawn.py", line 116, in spawn_main
  exitcode = _main(fd, parent_sentinel)
 File "D:\program\miniconda\lib\multiproces...]]></description><category></category></item><item><title><![CDATA[python 视频存储]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124267989</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124267989</guid><author>Yang_4881002</author><pubDate>Tue, 19 Apr 2022 10:56:06 +0800</pubDate><description><![CDATA[cap = cv2.VideoCapture("./host1.mp4") 

'''视频保存设置'''
    out = 'inference/video'    #视频保存目录
    p = time.strftime('%Y-%m-%d-%H_%M_%S', time.localtime(time.time()))
    save_path = str(Path(out) / Path(p))
    print("save_path:", save_path)

    vid_pat...]]></description><category></category></item><item><title><![CDATA[项目遇错总结（个人总结用）]]></title><link>https://blog.youkuaiyun.com/Yang_4881002/article/details/124259794</link><guid>https://blog.youkuaiyun.com/Yang_4881002/article/details/124259794</guid><author>Yang_4881002</author><pubDate>Tue, 19 Apr 2022 10:36:59 +0800</pubDate><description><![CDATA[最近在做一个项目，比较简单，就是跟踪检测一个单目标，同时控制一个执行机构能够跟踪拍摄，要求落地成产品。
需求就是延时低，帧率高
我的思路是 用yolov5 + deepsort 实现检测跟踪，落地必须使用多进程
我的算法作为服务器端，运行以上算法；
客户端负责，发送摄像设备的图像和接受解算服务器端的结果；
两者通过网线相连。后期再将算法放到真正的服务器端运行。
显然需要多进程，共享内存


一阶段：

服务器端两个进程：一个进程接收视频流，一个进程检测跟踪；
客户端开始的时候没有进程：一个循环发送视频流，接]]></description><category></category></item></channel></rss>