<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ybacm的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ybacm</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ybacm]]></copyright><item><title><![CDATA[记录 | ERROR: Could not install packages due to an OSError: Missing dependencies for SOCKS support.]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/134661283</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/134661283</guid><author>ybacm</author><pubDate>Tue, 28 Nov 2023 10:19:20 +0800</pubDate><description><![CDATA[【代码】记录 | ERROR: Could not install packages due to an OSError: Missing dependencies for SOCKS support.]]></description><category></category></item><item><title><![CDATA[ImportError: Using SOCKS proxy, but the ‘socksio‘ package is not installed. | 问题踩坑]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/133553403</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/133553403</guid><author>ybacm</author><pubDate>Wed, 04 Oct 2023 15:26:57 +0800</pubDate><description><![CDATA[问题：ImportError: Using SOCKS proxy, but the ‘socksio’ package is not installed. Make sure to install httpx using。最近用stable diffusion web ui的时候总是遇到这个问题，记录一下。，而是一行bash命令就够了（在ubuntu系统下的）]]></description><category></category></item><item><title><![CDATA[torch.autograd.detect_anomaly() 工具的使用（记录）]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/131528711</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/131528711</guid><author>ybacm</author><pubDate>Tue, 04 Jul 2023 10:14:02 +0800</pubDate><description><![CDATA[正向传播以及反向传播时添加异常侦测，减少找代码bug的时间。]]></description><category></category></item><item><title><![CDATA[在Mac和Linux以及Windows下删除pip安装包缓存用以节约空间（记录）]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/131294155</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/131294155</guid><author>ybacm</author><pubDate>Mon, 19 Jun 2023 19:57:08 +0800</pubDate><description><![CDATA[清除pip安装包缓存]]></description><category></category></item><item><title><![CDATA[linux bash 读取 txt 文件中的数据，求平均值（解决 bash 中不能直接浮点运算的问题）]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/130701264</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/130701264</guid><author>ybacm</author><pubDate>Tue, 16 May 2023 11:08:18 +0800</pubDate><description><![CDATA[使用 bc 或 awk 进行浮点运算]]></description><category></category></item><item><title><![CDATA[编写python代码从environment.yaml中找到未安装的pip依赖包，并进行安装]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/129837020</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/129837020</guid><author>ybacm</author><pubDate>Wed, 29 Mar 2023 14:59:26 +0800</pubDate><description><![CDATA[虽然最好的复现方式是再新创建一个虚拟环境然后完全安装对应版本，但是当我要跑好几个类似的代码的时候，就不想每个都创建一个虚拟环境了，直接用原来的，然后添加一些包依赖。所以我们就大概的步骤就是找到对应的包，检查是否安装过，如果没有则进行安装。]]></description><category></category></item><item><title><![CDATA[如何把 Git Submodule 变成普通文件夹]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/129724051</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/129724051</guid><author>ybacm</author><pubDate>Thu, 23 Mar 2023 09:35:30 +0800</pubDate><description><![CDATA[记录一下，感觉最重要的是把原来的。]]></description><category></category></item><item><title><![CDATA[非 root 权限在 ubuntu 下安装 vscode]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/128085421</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/128085421</guid><author>ybacm</author><pubDate>Mon, 28 Nov 2022 19:15:19 +0800</pubDate><description><![CDATA[做个记录，就是用以下几行命令，挺方便的。]]></description><category></category></item><item><title><![CDATA[Ubuntu 创建本地 Git 并与 Github（私有库） 交互（上传与下载）| 记录 | 踩坑]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/126846098</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/126846098</guid><author>ybacm</author><pubDate>Wed, 14 Sep 2022 10:20:51 +0800</pubDate><description><![CDATA[首先先附上基础的教程，写的挺靠谱的。有一点值得注意，如果还不想公开自己的代码，记得在github上创建新库的时候点那个私有的选项。https://www.cnblogs.com/sawyer22/p/9265784.html大体分为，在linux上安装git，然后创建ssh将本地仓库与github建立联系，最后在github上创建一个新库，把自己本地的库push上去就好了。（1）由于github现在有点被墙，所以时不时的可能有网络连不上的情况，我是报了以下错误

这个时候不要慌，我是按照以下这个回答将 pr]]></description><category></category></item><item><title><![CDATA[NIPS 2014 | Two-Stream Convolutional Networks for Action Recognition in Videos 阅读笔记]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/125300863</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/125300863</guid><author>ybacm</author><pubDate>Wed, 15 Jun 2022 17:15:22 +0800</pubDate><description><![CDATA[双流网络，来自VGG团队的工作，首篇可以基于深度学习方法在视频理解上做的效果较好的论文。]]></description><category></category></item><item><title><![CDATA[ICCV 2021 | Swin transformer: Hierarchical vision transformer using shifted windows 阅读笔记]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/125235900</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/125235900</guid><author>ybacm</author><pubDate>Sat, 11 Jun 2022 16:29:46 +0800</pubDate><description><![CDATA[ICCV 2021 best paper，完美将 CNN 与 Transformer 两大系列的工作相结合。]]></description><category></category></item><item><title><![CDATA[WIN11 | 安装WSL2 | 在WSL2上跑pytorch-gpu | 远程连接WSL2]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/123450528</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/123450528</guid><author>ybacm</author><pubDate>Sat, 12 Mar 2022 21:21:52 +0800</pubDate><description><![CDATA[在 wsl 跑 pytorch，使用 Linux 的环境可以更好的跑深度学习的代码；在 wsl 上开启 ssh 服务后，就可以方便远程连接操作 wsl 上的代码。]]></description><category></category></item><item><title><![CDATA[Python 小技巧 | 位数较多数字的清晰编写方式]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/123081661</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/123081661</guid><author>ybacm</author><pubDate>Wed, 23 Feb 2022 08:29:13 +0800</pubDate><description><![CDATA[如果你有一个很长的数字变量 a = 3000000000，怎么样让它在代码里看起来舒适，并且一下子就能知道它有多少位数呢？
在 Python 中可以这么写：
a = 3_000_000_000
这样与直接 a = 3000000000，是等价的，但是代码中看起来就会清晰很多！]]></description><category></category></item><item><title><![CDATA[CVPR 2021 | Few-shot Image Generation via Cross-domain Correspondence 阅读笔记 & 部分翻译]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/122016603</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/122016603</guid><author>ybacm</author><pubDate>Sat, 18 Dec 2021 20:37:41 +0800</pubDate><description><![CDATA[作者使用 cross-domain distance consistency 来维持源域中的多样性（使用相同的 latent code 来做损失）；使用 $D_{img}$ 来对目标训练集中采样的图像做完整的 image-level 损失（通过固定 k 个随机点），使用 $D_{patch}$ 来对目标训练集外采样的图像做 patch-level 损失，这样会减少了对应有的多样性的惩罚，还提升了生成图像的真实度。]]></description><category></category></item><item><title><![CDATA[Masked Autoencoders Are Scalable Vision Learners | MAE 阅读笔记&部分翻译]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/121887849</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/121887849</guid><author>ybacm</author><pubDate>Sun, 12 Dec 2021 15:11:03 +0800</pubDate><description><![CDATA[该文章就是在 ViT 的基础上做了一些改进 1）mask 了大部分的 patches，以减少图像的冗余信息 2）加入了基于 Transformer 架构的 Decoder 来还原像素 3）加入了 ViT 后续工作的一些训练技巧，来提升模型的鲁棒性。]]></description><category></category></item><item><title><![CDATA[CVPR 2020 | MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images 阅读笔记]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/121852541</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/121852541</guid><author>ybacm</author><pubDate>Fri, 10 Dec 2021 11:35:41 +0800</pubDate><description><![CDATA[该论文在生成器的输入前增加了一个 miner 网络，它的作用是将原始分布 transfer 到目标空间分布，并将 transfer 分成了两阶段，第一阶段固定生成器，训练 miner 和判别器；第二阶段将所有的参数（包含生成器）一起进行微调。]]></description><category></category></item><item><title><![CDATA[NIPS 2020 | Few-shot Image Generation with Elastic Weight Consolidation 阅读笔记&部分翻译]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/121852083</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/121852083</guid><author>ybacm</author><pubDate>Fri, 10 Dec 2021 11:21:41 +0800</pubDate><description><![CDATA[作者提出当进行 transfer 时不应该将所有的权重参数一视同仁，然后讨论了迁移前后网络中各层的权重变化率，证明有一些重要的参数是不需要大幅度改变的，最后在损失函数中添加了 EWC 损失，做到了不同参数不同对待，而且 EWC 损失不需要学习，效果很好。]]></description><category></category></item><item><title><![CDATA[ECCV 2018 | Transferring GANs: generating images from limited data 阅读笔记（部分翻译）]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/121781096</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/121781096</guid><author>ybacm</author><pubDate>Tue, 07 Dec 2021 23:13:20 +0800</pubDate><description><![CDATA[该论文将 fine-tuning 与 GAN 进行了一个结合，是这个方面的开篇之作，然后做了一些关于 transfer 影响因素的实验讨论。]]></description><category></category></item><item><title><![CDATA[ICLR 2021 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale| ViT 阅读笔记（翻译）]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/121666685</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/121666685</guid><author>ybacm</author><pubDate>Wed, 01 Dec 2021 22:41:35 +0800</pubDate><description><![CDATA[An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Author Unit: Google Brain, Google Research
Authors: Alexey Dosovitskiy∗,†, Lucas Beyer∗, Alexander Kolesnikov∗, Dirk Weissenborn∗, Xiaohua Zhai∗, Thomas Unterthiner, Mostafa Dehghan]]></description><category></category></item><item><title><![CDATA[BERT: Pre-training of Deep Bidirectional Transformer for Language Understanding 阅读笔记（部分翻译）]]></title><link>https://blog.youkuaiyun.com/ybacm/article/details/121666446</link><guid>https://blog.youkuaiyun.com/ybacm/article/details/121666446</guid><author>ybacm</author><pubDate>Wed, 01 Dec 2021 22:27:09 +0800</pubDate><description><![CDATA[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Author Unit: Google AI Language
Authors: Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Code: https://github.com/ google-research/bert
Conference: arXiv:1810.048]]></description><category></category></item></channel></rss>