<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[fansfi的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/fansfi</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; fansfi]]></copyright><item><title><![CDATA[Cursor免费版试用版能用哪些模型]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/154651117</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/154651117</guid><author>fansfi</author><pubDate>Mon, 10 Nov 2025 15:24:11 +0800</pubDate><description><![CDATA[试用账号只有下面的模型能用了：gpt-4.1gpt-5-minigpt-5-nano。]]></description><category></category></item><item><title><![CDATA[将自己的MCP发布到pypi上]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/150989972</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/150989972</guid><author>fansfi</author><pubDate>Fri, 29 Aug 2025 18:29:44 +0800</pubDate><description><![CDATA[前提是安装uv。]]></description><category></category></item><item><title><![CDATA[docker部署安装hashicorp/vault]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/150773607</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/150773607</guid><author>fansfi</author><pubDate>Mon, 25 Aug 2025 16:55:43 +0800</pubDate><description><![CDATA[cap-add=IPC_LOCK：允许Vault锁定内存，以提高安全性。-d：以后台模式运行容器。–name=vault：为容器指定一个名称。-e ‘VAULT_DEV_ROOT_TOKEN_ID=root’：设置开发模式下的根令牌。-e ‘VAULT_DEV_LISTEN_ADDRESS=0.0.0.0:8200’：设置Vault监听的地址和端口。-p 8200:8200：将容器的8200端口映射到主机的8200端口。-e VAULT_ADDR：指定 HTTP 地址。]]></description><category></category></item><item><title><![CDATA[cursor 上方中间没有搜索框]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/147476606</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/147476606</guid><author>fansfi</author><pubDate>Thu, 24 Apr 2025 13:38:38 +0800</pubDate><description><![CDATA[使用快捷键调出：Ctrl + Shift + A    或   Ctrl + Shift + P菜单栏也能调出]]></description><category></category></item><item><title><![CDATA[测试新版本openai的API Key的有效性的demo]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/147232136</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/147232136</guid><author>fansfi</author><pubDate>Mon, 14 Apr 2025 20:30:23 +0800</pubDate><description><![CDATA[【代码】测试新版本openai的API Key的有效性的demo。]]></description><category></category></item><item><title><![CDATA[docker部署minio，使用自签名ssl证书https，linux，×86]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146666727</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146666727</guid><author>fansfi</author><pubDate>Sat, 29 Mar 2025 13:41:15 +0800</pubDate><description><![CDATA[前提是windows安装opensslip换成自己的，生成的证书在运行目录，运行在cmd。]]></description><category></category></item><item><title><![CDATA[docker离线部署kkfileview预览https文件Dockerfile自定义镜像添加ssl证书]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146625331</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146625331</guid><author>fansfi</author><pubDate>Sat, 29 Mar 2025 12:53:18 +0800</pubDate><description><![CDATA[证书和Dockerfile同一目录下面这个是新的自定义kkfileview镜像，另外一个没用了。]]></description><category></category></item><item><title><![CDATA[docker 安装部署MySQL8]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146512067</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146512067</guid><author>fansfi</author><pubDate>Tue, 25 Mar 2025 21:12:21 +0800</pubDate><description><![CDATA[pwd=ipeq两个文件都上传到/root目录(mysql配置已写好）加载镜像创建容器并运行。]]></description><category></category></item><item><title><![CDATA[Could not retrieve mirrorlist “Could not resolve host: mirrorlist.centos.org； 未知的错误“]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146369946</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146369946</guid><author>fansfi</author><pubDate>Wed, 19 Mar 2025 14:28:50 +0800</pubDate><description><![CDATA[出现下面报错：未知的错误”]]></description><category></category></item><item><title><![CDATA[linux系统使用docker快速部署nginx]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146115960</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146115960</guid><author>fansfi</author><pubDate>Sat, 15 Mar 2025 22:23:41 +0800</pubDate><description><![CDATA[p 80:80：对端口进行映射，将本地80端口映射到容器内部的80端口。443端口的映射同理。将打包后的dist文件改名为html，然后上传到/home/software/nginx/通过上述操作，可获得宿主机上一些关于Nginx的基础配置和目录文件。-v：将本地目录(文件)挂载到容器指定目录。-d：表示在一直在后台运行容器。–name：设置创建的容器名称。$PWD：当前全路径。访问网址：ip:80。]]></description><category></category></item><item><title><![CDATA[使用linux的yum安装docker]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146097194</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146097194</guid><author>fansfi</author><pubDate>Fri, 07 Mar 2025 15:43:40 +0800</pubDate><description><![CDATA[【代码】使用linux的yum安装docker。]]></description><category></category></item><item><title><![CDATA[linux使用docker离线部署kkfileview]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/146026910</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/146026910</guid><author>fansfi</author><pubDate>Thu, 06 Mar 2025 20:40:30 +0800</pubDate><description><![CDATA[linux使用docker离线部署kkfileview]]></description><category></category></item><item><title><![CDATA[2024 年 AI 辅助研发趋势]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/136767733</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/136767733</guid><author>fansfi</author><pubDate>Sat, 16 Mar 2024 19:00:53 +0800</pubDate><description><![CDATA[通过使用机器学习和自然语言处理等技术，AI可以帮助研发团队更快速地分析大量的数据和文献，提供准确的信息和洞察力。同时，研究人员可以探索新的AI模型和算法，提高模型的解释性和可解释性，增强模型的鲁棒性和泛化能力。AI可以分析大量的数据和文献，挖掘隐藏的模式和关联，为研发团队提供新的思路和方向。通过深度学习和机器学习算法，研发人员可以分析大量的化合物数据和临床试验数据，加速新药的发现和开发过程。通过分析大量的传感器数据和历史故障数据，AI可以帮助识别电子产品中的故障模式，并预测故障的发生概率。]]></description><category></category></item><item><title><![CDATA[【无标题】]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/135530915</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/135530915</guid><author>fansfi</author><pubDate>Thu, 11 Jan 2024 15:32:21 +0800</pubDate><description><![CDATA[在172：28 把await的删除。找了一上午，要个赞不过分吧！]]></description><category></category></item><item><title><![CDATA[准确率上升，损失loss也上升]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/124540228</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/124540228</guid><author>fansfi</author><pubDate>Mon, 02 May 2022 13:58:36 +0800</pubDate><description><![CDATA[如果损失增加并且准确度增加也是因为你的正则化技术运行良好并且你正在应对过度拟合问题 . 只有当损失开始减少而精度继续增加时，才会出现这种情况 。 否则，如果损失不断增长，您的模型就会出现分歧，你应该寻找原因（通常您使用的学习率过高）。

...]]></description><category></category></item><item><title><![CDATA[Colab 使用 PyTorch-TPU]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/124448960</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/124448960</guid><author>fansfi</author><pubDate>Wed, 27 Apr 2022 13:52:57 +0800</pubDate><description><![CDATA[·在Colab上安装PyTorch/XLA
·在TPU上运行基本的PyTorch函数，比如创建和添加张量。
·在TPU上运行PyTorch模块和autograd。
·在TPU上运行PyTorch网络。 在Colab TPU上使用张量、运行模块和运行整个网络非常简单
运行的前提是：
首先在主菜单上，单击Runtime并选择Change Runtime type。设置“TPU”为硬件加速器。下面的单元格确保您能够访问Colab上的TPU。
选好TPU
import os
assert os.environ['C]]></description><category></category></item><item><title><![CDATA[mediapipe手势识别 内存越来越大]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/124370612</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/124370612</guid><author>fansfi</author><pubDate>Sat, 23 Apr 2022 21:30:43 +0800</pubDate><description><![CDATA[网上流传的几乎都是这种代码
def see():
    # cap = cv2.VideoCapture(path)
    cap = cv2.VideoCapture(0)

    mpHands = mp.solutions.hands
    hands = mpHands.Hands(static_image_mode=False,
                          max_num_hands=2,
                          min_detectio]]></description><category></category></item><item><title><![CDATA[Colab 训练速度很慢]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/124325306</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/124325306</guid><author>fansfi</author><pubDate>Thu, 21 Apr 2022 16:52:05 +0800</pubDate><description><![CDATA[一轮要跑几个小时
import torch
device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
print(device)
cpu

原来是没用GPU

点击修改 -&gt; 笔记本设置-&gt;硬件加速器改为GPU，保存即可

]]></description><category></category></item><item><title><![CDATA[python mediapipe 读取视频画出每帧的手部骨骼图并保存]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/123329483</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/123329483</guid><author>fansfi</author><pubDate>Mon, 07 Mar 2022 14:24:55 +0800</pubDate><description><![CDATA[import cv2
import mediapipe as mp
import numpy as np

cap = cv2.VideoCapture("./dataset/accident_3.mp4")
# cap = cv2.VideoCapture("./Hands/video.mp4")
# cap = cv2.VideoCapture(0)

mpHands = mp.solutions.hands
hands = mpHands.Hands(static_image_mode=False,.]]></description><category></category></item><item><title><![CDATA[Chinese Sign Language Recognition Dataset（CSL)]]></title><link>https://blog.youkuaiyun.com/fansfi/article/details/123309232</link><guid>https://blog.youkuaiyun.com/fansfi/article/details/123309232</guid><author>fansfi</author><pubDate>Sun, 06 Mar 2022 13:35:20 +0800</pubDate><description><![CDATA[http://home.ustc.edu.cn/~hagjie/

]]></description><category></category></item></channel></rss>