<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[qq_44747572的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/qq_44747572</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; qq_44747572]]></copyright><item><title><![CDATA[图像处理-拉普拉斯+图像均衡]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/148153917</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/148153917</guid><author>qq_44747572</author><pubDate>Fri, 23 May 2025 08:10:36 +0800</pubDate><description><![CDATA[【代码】图像处理-拉普拉斯+图像均衡。]]></description><category></category></item><item><title><![CDATA[c++实现对16位图像的处理]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/148102940</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/148102940</guid><author>qq_44747572</author><pubDate>Wed, 21 May 2025 08:30:08 +0800</pubDate><description><![CDATA[【代码】c++实现对16位图像的处理。]]></description><category></category></item><item><title><![CDATA[c++ 函数并行处理]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/147603489</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/147603489</guid><author>qq_44747572</author><pubDate>Tue, 29 Apr 2025 10:45:44 +0800</pubDate><description><![CDATA[其中函数使用引用时需要加ref函数。]]></description><category></category></item><item><title><![CDATA[【图像增强】msfe多尺度增强处理]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/146375990</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/146375990</guid><author>qq_44747572</author><pubDate>Wed, 19 Mar 2025 17:27:34 +0800</pubDate><description><![CDATA[【代码】【图像增强】msfe多尺度增强处理。]]></description><category></category></item><item><title><![CDATA[动态阈值处理（halcon2cpp）]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/143032938</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/143032938</guid><author>qq_44747572</author><pubDate>Fri, 18 Oct 2024 08:28:50 +0800</pubDate><description><![CDATA[【代码】动态阈值处理（halcon2cpp）]]></description><category></category></item><item><title><![CDATA[yolov8使用多张GPU进行训练]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/142997561</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/142997561</guid><author>qq_44747572</author><pubDate>Thu, 17 Oct 2024 09:23:58 +0800</pubDate><description><![CDATA[【代码】yolov8使用多张GPU进行训练。]]></description><category></category></item><item><title><![CDATA[【图像生成】ACGAN]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/137921353</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/137921353</guid><author>qq_44747572</author><pubDate>Thu, 18 Apr 2024 14:46:34 +0800</pubDate><description><![CDATA[【代码】【图像生成】ACGAN。]]></description><category></category></item><item><title><![CDATA[【图像分割】光流生成标签（matlab）]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/137921132</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/137921132</guid><author>qq_44747572</author><pubDate>Thu, 18 Apr 2024 14:42:40 +0800</pubDate><description><![CDATA[【代码】【图像分割】光流生成标签（matlab）]]></description><category></category></item><item><title><![CDATA[yolov8数据标注、模型训练到模型部署全过程]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/135904089</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/135904089</guid><author>qq_44747572</author><pubDate>Mon, 29 Jan 2024 10:31:20 +0800</pubDate><description><![CDATA[yolov8进行自己的数据标注、模型训练以及模型部署全过程]]></description><category></category></item><item><title><![CDATA[【图像处理】图像骨架化提取c++实现]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/134868998</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/134868998</guid><author>qq_44747572</author><pubDate>Fri, 08 Dec 2023 08:31:35 +0800</pubDate><description><![CDATA[【代码】【图像处理】图像骨架化提取c++实现。]]></description><category></category></item><item><title><![CDATA[c++实现16位图转换成8位图]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/134831547</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/134831547</guid><author>qq_44747572</author><pubDate>Wed, 06 Dec 2023 14:54:26 +0800</pubDate><description><![CDATA[注：主要是通过调整upper_limit这个参数。]]></description><category></category></item><item><title><![CDATA[【TensorRT部署】pytorch模型（pt/pth）转onnx，onnx转engine（tensorRT）]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/134589889</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/134589889</guid><author>qq_44747572</author><pubDate>Fri, 24 Nov 2023 08:30:14 +0800</pubDate><description><![CDATA[pytorch模型到c++使用tensorRT部署全过程]]></description><category></category></item><item><title><![CDATA[【模型c++部署】yolov8（检测、分类、分割、姿态）使用openvino进行部署]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/134309299</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/134309299</guid><author>qq_44747572</author><pubDate>Thu, 09 Nov 2023 13:20:03 +0800</pubDate><description><![CDATA[该文主要是对yolov8的检测、分类、分割、姿态应用使用c++进行dll封装，并进行调用测试。]]></description><category></category></item><item><title><![CDATA[【模型部署】c++部署yolov5使用openvino]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/134003776</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/134003776</guid><author>qq_44747572</author><pubDate>Tue, 24 Oct 2023 13:40:57 +0800</pubDate><description><![CDATA[c++部署yolov5使用openvino]]></description><category></category></item><item><title><![CDATA[【已解决】“const char*“类型的实参与“LPCWSTR-类型的形参不兼容]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/133702171</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/133702171</guid><author>qq_44747572</author><pubDate>Mon, 09 Oct 2023 14:55:28 +0800</pubDate><description><![CDATA[解决 “const char*“类型的实参与“LPCWSTR-类型的形参不兼容的问题]]></description><category></category></item><item><title><![CDATA[【模型部署】c++调用tensorRT的模型（engine）]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/131631153</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/131631153</guid><author>qq_44747572</author><pubDate>Mon, 10 Jul 2023 09:13:15 +0800</pubDate><description><![CDATA[将分割模型就行腾搜人RT转化后得到engine，该博客主要是针对c++调用tensorRT的模型文件engine。]]></description><category></category></item><item><title><![CDATA[【c++报错】无法打开自己的工程项目（C++ 无法打开文件“xxx.lib”）]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/131630816</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/131630816</guid><author>qq_44747572</author><pubDate>Mon, 10 Jul 2023 08:33:13 +0800</pubDate><description><![CDATA[在进行单个生成的时候，可以生成成功，也可以运行程序。但是点击全部重新生成时，就显示无法打开文件“xxx.lib”。观察生成顺序，发现exe的程序（调用自己项目的dll）先进行生成，然后才生成dll程序。操作：找到exe程序项，点击右键>>生成依赖项>>将需要的依赖项进行勾选。首先想到的是更改生成顺序，发现顺序没错。C++ 无法打开文件“xxx.lib”]]></description><category></category></item><item><title><![CDATA[【Opencv-GPU】C++中opencv的GPU版本编译]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/131410393</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/131410393</guid><author>qq_44747572</author><pubDate>Tue, 27 Jun 2023 10:43:03 +0800</pubDate><description><![CDATA[在网站下载的文件，重新命名为相对应的名称（文件夹里面的一串数字，如上图）注：cuda版本和cudnn版本对应就行。]]></description><category></category></item><item><title><![CDATA[【界面】yolov8+pyqt5进行目标识别]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/131065642</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/131065642</guid><author>qq_44747572</author><pubDate>Tue, 06 Jun 2023 13:36:54 +0800</pubDate><description><![CDATA[解决问题：通过pyqt5进行界面设计，调用yolov8模型对目标进行检测。]]></description><category></category></item><item><title><![CDATA[【图像处理】利用c++代码将图片分成指定块并添加块与块的重叠部分]]></title><link>https://blog.youkuaiyun.com/qq_44747572/article/details/129762808</link><guid>https://blog.youkuaiyun.com/qq_44747572/article/details/129762808</guid><author>qq_44747572</author><pubDate>Sat, 25 Mar 2023 09:14:45 +0800</pubDate><description><![CDATA[注：在上述代码中，读入了一张名为“test.jpg”的图片，并将其分成了100x100的块。其中，添加了一个overlap_size变量，用于指定块与块之间的重叠部分大小。然后，使用两个嵌套的循环来遍历所有的块，并使用OpenCV的Rect类来定义每个块的位置和大小。以下是C++代码示例，将图片分成指定块并添加块与块的重叠部分。该代码使用OpenCV库进行图像处理。]]></description><category></category></item></channel></rss>