<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[空天信息一张图]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_35832521</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_35832521]]></copyright><item><title><![CDATA[HRSID舰船检测数据集标签格式转换，json转为xml]]></title><link>https://blog.youkuaiyun.com/qq_35832521/article/details/121978020</link><guid>https://blog.youkuaiyun.com/qq_35832521/article/details/121978020</guid><author>qq_35832521</author><pubDate>Thu, 16 Dec 2021 16:36:59 +0800</pubDate><description><![CDATA[HRSID数据集介绍参考原文：https://ieeexplore.ieee.org/document/9127939

数据集下载链接：https://github.com/chaozhong2010/hrsid


下载到的数据集标签信息全部存在train_test2017.json中，需转为单个的xml格式才能使用，转换代码如下，仅供参考：



import xml.dom
import xml.dom.minidom
import os
# from PIL import Image
import]]></description><category></category></item><item><title><![CDATA[Pytorch指定版本安装，基于Anaconda]]></title><link>https://blog.youkuaiyun.com/qq_35832521/article/details/121573924</link><guid>https://blog.youkuaiyun.com/qq_35832521/article/details/121573924</guid><author>qq_35832521</author><pubDate>Sat, 27 Nov 2021 11:23:21 +0800</pubDate><description><![CDATA[我习惯用anaconda建虚拟环境，就以anaconda安装pytorch1.3为例

1、安装Anaconda

下载链接：https://www.anaconda.com/

下载好默认安装即可

2、创建虚拟环境

开始菜单打开Anaconda Prompt，如下图



（2）在打开的命令行窗口（如下图）中，输入


conda create -n pytorch1.3 python=3.6

敲回车，（ps:其中，“pytorch1.3”为你定义的虚拟环境名，什么名都可以；python为3.6..]]></description><category></category></item><item><title><![CDATA[Deepsort目标跟踪算法绘制目标运动轨迹]]></title><link>https://blog.youkuaiyun.com/qq_35832521/article/details/115124521</link><guid>https://blog.youkuaiyun.com/qq_35832521/article/details/115124521</guid><author>qq_35832521</author><pubDate>Tue, 23 Mar 2021 15:17:37 +0800</pubDate><description><![CDATA[Deepsort

对于跟踪到的目标，利用cv2.line连接前后帧的跟踪框中点，从而得到目标轨迹

有其他方法欢迎留言！wei zc1013x


# outputs = [x1, y1, x2, y2, track_id]
bbox_xyxy = outputs[:, :4]
identities = outputs[:, -1]
box_xywh = xyxy2tlwh(bbox_xyxy)
# top left x top left y  w  h
for j in range(len(box_xy]]></description><category></category></item></channel></rss>