<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[OrigamiSun的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/OrigamiSun</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; OrigamiSun]]></copyright><item><title><![CDATA[QuadPrior权重文件]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/143773166</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/143773166</guid><author>OrigamiSun</author><pubDate>Thu, 14 Nov 2024 15:45:45 +0800</pubDate><description><![CDATA[链接：https://pan.baidu.com/s/1Le90J3LVDg9yY-WvT_pe4A?通过百度网盘分享的文件：models等2个文件。复制这段内容打开「百度网盘APP 即可获取」]]></description><category></category></item><item><title><![CDATA[NTIRE数据集]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/143520751</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/143520751</guid><author>OrigamiSun</author><pubDate>Tue, 05 Nov 2024 18:42:51 +0800</pubDate><description><![CDATA[链接：https://pan.baidu.com/s/1UIit6pl5TpWOQxAxvhEhjA?通过百度网盘分享的文件：NTIRE_20...复制这段内容打开「百度网盘APP 即可获取」]]></description><category></category></item><item><title><![CDATA[aisp数据集]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/142600838</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/142600838</guid><author>OrigamiSun</author><pubDate>Mon, 28 Oct 2024 12:03:37 +0800</pubDate><description><![CDATA[链接：https://pan.baidu.com/s/1L6JmGUWtLKsQLO8V8x4i_w?通过百度网盘分享的文件：IMX766.rar。复制这段内容打开「百度网盘APP 即可获取」]]></description><category></category></item><item><title><![CDATA[sice数据集part2]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/142383728</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/142383728</guid><author>OrigamiSun</author><pubDate>Fri, 20 Sep 2024 14:07:25 +0800</pubDate><description><![CDATA[链接：https://pan.baidu.com/s/1bH9k2ZRCzfbNCN6cm6FNGA?]]></description><category></category></item><item><title><![CDATA[非极大值抑制NMS]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/126769142</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/126769142</guid><author>OrigamiSun</author><pubDate>Thu, 08 Sep 2022 17:54:09 +0800</pubDate><description><![CDATA[边界框bbox非极大值抑制NMS代码]]></description><category></category></item><item><title><![CDATA[可见光和红外图像的融合]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/126604800</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/126604800</guid><author>OrigamiSun</author><pubDate>Tue, 30 Aug 2022 15:30:40 +0800</pubDate><description><![CDATA[3种较为简单的可见光和红外图像融合方式，包括固定权重的融合、TIF方式等]]></description><category></category></item><item><title><![CDATA[数据集标签xml格式和单个json文件转换成yolo的txt格式]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/126451322</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/126451322</guid><author>OrigamiSun</author><pubDate>Sun, 21 Aug 2022 15:30:14 +0800</pubDate><description><![CDATA[数据集标签转换成yolo的txt格式，将xml格式和单个json文件转换成yolo的txt格式]]></description><category></category></item><item><title><![CDATA[数据集增强]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/126450904</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/126450904</guid><author>OrigamiSun</author><pubDate>Sun, 21 Aug 2022 15:17:10 +0800</pubDate><description><![CDATA[随机利用翻转变换、旋转变换、高斯模糊、曝光改变、增加椒盐噪声 、色彩抖动种某一种方式，对已有数据集进行增强，并对原有json文件进行修改生成对应的json标签文件，代码如下：（针对的是热成像和可见光双模态数据集，增强单模态数据集可以在函数add（）中进行删减）]]></description><category></category></item><item><title><![CDATA[SSD（pytorch）自建数据集训练及测试]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/124715265</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/124715265</guid><author>OrigamiSun</author><pubDate>Wed, 11 May 2022 18:45:07 +0800</pubDate><description><![CDATA[SSD-pytorch的训练，主要包括数据集的制作，yolo格式转voc格式，训练过程可能出现问题的解决办法，在评价指标上AP的基础上增加recall、precision和f1。]]></description><category></category></item><item><title><![CDATA[将yolov5检测结果保存成json文件]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/123996505</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/123996505</guid><author>OrigamiSun</author><pubDate>Wed, 06 Apr 2022 18:21:58 +0800</pubDate><description><![CDATA[将yolov5检测结果保存成json文件，每帧图片对应一个json文件，json文件中包含图片名称、检测到的bbox信息（分类结果、中心坐标和置信度）。]]></description><category></category></item><item><title><![CDATA[Qt界面制作简单教程，调用python代码]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/123686821</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/123686821</guid><author>OrigamiSun</author><pubDate>Wed, 23 Mar 2022 15:40:47 +0800</pubDate><description><![CDATA[Qt对C++编译者更有友好些，平时python用的比较多，所以收集学习了一下用python来做界面的方法，并做了个简单的小教程。]]></description><category></category></item><item><title><![CDATA[基于ros收发的yolov5]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/123269882</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/123269882</guid><author>OrigamiSun</author><pubDate>Sun, 06 Mar 2022 15:20:13 +0800</pubDate><description><![CDATA[基于ros收发的yolov5，包含yolov5的样本处理和网络训练。]]></description><category></category></item><item><title><![CDATA[配准环境要求]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/122724788</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/122724788</guid><author>OrigamiSun</author><pubDate>Thu, 27 Jan 2022 23:02:52 +0800</pubDate><description><![CDATA[pip install pillow opencv-python matplotlib numpy scipy
pip install -U scikit-learn


pip install pillow opencv-python matplotlib numpy scipy
pip install -U scikit-learn

pip install PyWavelets

#若安装的ros版本为基础版本，即不包含cv_bridge库包，可按下列命令安装
sudo apt-get instal.]]></description><category></category></item><item><title><![CDATA[OpenCV学习(15)-高斯平滑]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121540149</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121540149</guid><author>OrigamiSun</author><pubDate>Thu, 25 Nov 2021 16:06:56 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
import sys
import cv2
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt

def gaussBlur(img,sigma,h,w,_boundary='fill',_fillvalue=0):
    gaussKernel_x=cv2.getGaussianKernel(sigma,w,cv2.CV_64F)
    gaussker.]]></description><category></category></item><item><title><![CDATA[OpenCV学习(14)-二维离散卷积]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121538500</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121538500</guid><author>OrigamiSun</author><pubDate>Thu, 25 Nov 2021 15:17:18 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
import sys
import cv2
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt


if __name__=="__main__":
   if len(sys.argv)&gt;1 :
      img = cv2.imread(sys.argv[1],0)
   else:
      print('None')
   I=np.arra.]]></description><category></category></item><item><title><![CDATA[碰撞预警检测]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121442652</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121442652</guid><author>OrigamiSun</author><pubDate>Sat, 20 Nov 2021 17:40:02 +0800</pubDate><description><![CDATA[已知目标当前坐标和尺寸大小的基于圆形检测的碰撞预警检测。]]></description><category></category></item><item><title><![CDATA[可见光相机与红外相机标定]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121403939</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121403939</guid><author>OrigamiSun</author><pubDate>Thu, 18 Nov 2021 16:54:41 +0800</pubDate><description><![CDATA[可见光相机与红外相机的标定]]></description><category></category></item><item><title><![CDATA[OpenCV学习(13)-全局直方图均衡化与限制对比度的自适应直方图均衡化]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121192037</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121192037</guid><author>OrigamiSun</author><pubDate>Sun, 07 Nov 2021 15:31:13 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
import sys
import cv2
import numpy as np
import matplotlib.pyplot as plt
import math

def calcGrayHist(img):
    h,w=img.shape
    grayHist=np.zeros(256,np.uint64)
    for i in range(w):
        for j in range(h):
            grayH.]]></description><category></category></item><item><title><![CDATA[OpenCV学习(12)-伽马变换]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121188992</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121188992</guid><author>OrigamiSun</author><pubDate>Sun, 07 Nov 2021 11:07:05 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
import sys
import cv2
import numpy as np
import matplotlib.pyplot as plt


if __name__=="__main__":
   if len(sys.argv)&gt;1 :
      img = cv2.imread(sys.argv[1],0)
   else:
      print('None')
   cv2.imshow('img',img)
   h,w=img.s.]]></description><category></category></item><item><title><![CDATA[OpenCV学习(11)-直方图正规化]]></title><link>https://blog.youkuaiyun.com/OrigamiSun/article/details/121188649</link><guid>https://blog.youkuaiyun.com/OrigamiSun/article/details/121188649</guid><author>OrigamiSun</author><pubDate>Sun, 07 Nov 2021 10:39:41 +0800</pubDate><description><![CDATA[# -*- coding: utf-8 -*-
import sys
import cv2
import numpy as np
import matplotlib.pyplot as plt

def normal_grayhist(i):
      imax=np.max(i)
      imin=np.min(i)
      omax,omin=255,0
      a=float(omax-omin)/(imax-imin)
      b=omin-a*imin
      o=a*i+.]]></description><category></category></item></channel></rss>