<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ListenAlone的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ListenAlone</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ListenAlone]]></copyright><item><title><![CDATA[合并的全局内存访问中读写的理解]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/167466864</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/167466864</guid><author>ListenAlone</author><pubDate>Sat, 10 Oct 2026 10:03:08 +0800</pubDate><description><![CDATA[装载阶段靠 tx 天然合并；卸载阶段因为 out 的行主序要求"ox 必须跟着线程号快变"，而线程身份 (tx,ty) 无法满足（会退化成 oy 快变 = 交叉访问），所以必须重新派发任务——icol = bidx % BDIMY 就是为此造出的那个"快变的 ox"因为此时 ox = iy  oy = ix, 而x是连续的，那么oy变成连续的，ox不是连续的，这就给写带来交叉访问，我们希望ox上连续。如果直接用threadIdx交换xy来写，那么因为原始线程是x方向上连续的，那么写就不会连续。]]></description><category></category></item><item><title><![CDATA[Visual Studio 2017 调试长时间未响应问题排查]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/160250080</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/160250080</guid><author>ListenAlone</author><pubDate>Fri, 17 Apr 2026 13:18:35 +0800</pubDate><description><![CDATA[摘要：Visual Studio 2017调试时出现长时间未响应问题，通过Procdump工具获取进程dump文件，使用WinDbg分析发现调用栈指向搜狗输入法(SogouPY)模块。验证表明搜狗输入法是导致调试卡顿的原因，建议开发时改用Windows自带输入法或禁用搜狗输入法。文档提供了完整的诊断步骤和工具使用方法，最终确认输入法兼容性问题并给出解决方案。（149字）]]></description><category></category></item><item><title><![CDATA[c++ 条件变量wait]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/150422428</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/150422428</guid><author>ListenAlone</author><pubDate>Fri, 15 Aug 2025 14:38:33 +0800</pubDate><description><![CDATA[【代码】c++ 条件变量wait。]]></description><category></category></item><item><title><![CDATA[mmap（红色理解是错的）]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/150264717</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/150264717</guid><author>ListenAlone</author><pubDate>Tue, 12 Aug 2025 10:23:16 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[`vector＜Rect＞ blockRois.reserve(clipRows * clipCols)` 和 `vector＜Rect＞ blockRois(clipRows * clipCols)]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/148258894</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/148258894</guid><author>ListenAlone</author><pubDate>Tue, 27 May 2025 15:41:35 +0800</pubDate><description><![CDATA[和。]]></description><category></category></item><item><title><![CDATA[高版本pytorch没有use_libuv问题]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/147526686</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/147526686</guid><author>ListenAlone</author><pubDate>Sat, 26 Apr 2025 09:27:21 +0800</pubDate><description><![CDATA[【代码】高版本pytorch没有use_libuv问题。]]></description><category></category></item><item><title><![CDATA[yolo-obb旋转框的保存图片]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/147268805</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/147268805</guid><author>ListenAlone</author><pubDate>Wed, 16 Apr 2025 10:09:23 +0800</pubDate><description><![CDATA[思路：先基于原点旋转，在加上中心点的偏移量。tag_pos计算准确性很重要。]]></description><category></category></item><item><title><![CDATA[vector 和 malloc的速度区别]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/146173919</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/146173919</guid><author>ListenAlone</author><pubDate>Tue, 11 Mar 2025 11:14:57 +0800</pubDate><description><![CDATA[【代码】vector 和 malloc的速度区别。]]></description><category></category></item><item><title><![CDATA[resnet18分类转特征提取]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/143482095</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/143482095</guid><author>ListenAlone</author><pubDate>Mon, 04 Nov 2024 13:10:35 +0800</pubDate><description><![CDATA[onnx_path = r"E:\2022Work\RedCellCount\红细胞网络\除100\tt1.onnx"onnx_path = r"E:\2022Work\RedCellCount\红细胞网络\除100\tt.pth"# 步骤1: 加载ONNX模型。]]></description><category></category></item><item><title><![CDATA[SVS文件写法注意事项]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/143010988</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/143010988</guid><author>ListenAlone</author><pubDate>Thu, 17 Oct 2024 13:05:53 +0800</pubDate><description><![CDATA[如果不写marco层，直接到N-1层就结束了，那么qupath中读取出来的marco将是label层的图。label层将会读取到N-2层的图。第2层一定要写缩略图或者分辨率最低的层，不然可能会有错误，具体错误不记得了。第3到第N-2层，降分辨率tile图，必须使用从大到小顺序。第N-1层，label图，需设定标志(1)，需设定desc。第N层，marco图，需设定标志 (9)，需设定desc。第1层，全分辨率tile图，需设定desc。]]></description><category></category></item><item><title><![CDATA[opencv 保存jpeg损失严重解决办法]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/138654636</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/138654636</guid><author>ListenAlone</author><pubDate>Fri, 10 May 2024 10:31:41 +0800</pubDate><description><![CDATA[即使设置100的质量，保存出来的图还是损失严重。]]></description><category></category></item><item><title><![CDATA[VS下编译cuda代码MSB3721，返回代码255]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/138416094</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/138416094</guid><author>ListenAlone</author><pubDate>Fri, 03 May 2024 14:38:04 +0800</pubDate><description><![CDATA[查了一天才找到问题。]]></description><category></category></item><item><title><![CDATA[using的使用]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/136579516</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/136579516</guid><author>ListenAlone</author><pubDate>Sat, 09 Mar 2024 11:15:37 +0800</pubDate><description><![CDATA[语法]]></description><category></category></item><item><title><![CDATA[NIQE c++实现]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/136410966</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/136410966</guid><author>ListenAlone</author><pubDate>Sat, 02 Mar 2024 10:19:17 +0800</pubDate><description><![CDATA[代码改编，结果精度会不同，如果可以调整的很好的话，欢迎告知。Param.txt文件的制作(Matlab来生成的)]]></description><category></category></item><item><title><![CDATA[c++获取目录下所有文件名windows]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/132914881</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/132914881</guid><author>ListenAlone</author><pubDate>Sat, 16 Sep 2023 09:37:52 +0800</pubDate><description><![CDATA[【代码】c++获取目录下所有文件名windows。]]></description><category></category></item><item><title><![CDATA[Pytorch相关链接]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/131256833</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/131256833</guid><author>ListenAlone</author><pubDate>Sat, 17 Jun 2023 09:19:37 +0800</pubDate><description><![CDATA[链接：https://pan.baidu.com/s/1BAncBeGjfGKFAbDKyBsZ7Q?我用过的会放里面，方便下载。]]></description><category></category></item><item><title><![CDATA[interpolate转onnx出错]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/129298878</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/129298878</guid><author>ListenAlone</author><pubDate>Thu, 02 Mar 2023 13:19:41 +0800</pubDate><description><![CDATA[interpolate转onnx出错]]></description><category></category></item><item><title><![CDATA[flask 跨文件夹调用]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/129040237</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/129040237</guid><author>ListenAlone</author><pubDate>Wed, 15 Feb 2023 11:30:20 +0800</pubDate><description><![CDATA[flask 跨文件夹调用]]></description><category></category></item><item><title><![CDATA[Gamma理解]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/128801397</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/128801397</guid><author>ListenAlone</author><pubDate>Mon, 30 Jan 2023 14:20:05 +0800</pubDate><description><![CDATA[因为显示器默认是gamma2.2，历史CRT原因，所以如果我们想要一张图片，在显示器上显示效果和我们看到的真实效果尽可能一致，那么相机拍照的gamma要尽量设置在gamma 1/2.2  近似等于0.45.这样显示效果才能竟可能的接近真实肉眼写过（不是照片的效果）]]></description><category></category></item><item><title><![CDATA[线程GPU id问题]]></title><link>https://blog.youkuaiyun.com/ListenAlone/article/details/128316126</link><guid>https://blog.youkuaiyun.com/ListenAlone/article/details/128316126</guid><author>ListenAlone</author><pubDate>Wed, 14 Dec 2022 14:43:17 +0800</pubDate><description><![CDATA[主线程设置的GPU不会被继承，子线程会默认切换到0号GPU上。需要重新设置工作的GPU id。]]></description><category></category></item></channel></rss>