<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[pandamax的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/pandamax</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; pandamax]]></copyright><item><title><![CDATA[车道线检测-模型转换-前向验证]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/120820316</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/120820316</guid><author>pandamax</author><pubDate>Mon, 18 Oct 2021 09:37:16 +0800</pubDate><description><![CDATA[车道线检测

该项目使用 PINet 作为车道检测器，支持 VIL-100 的训练。 同时项目支持模型转换，包括onnx和caffe格式，以及模型部署前的模型前向加速处理。模型前向加速主要包括模型裁剪、简化和合并BN层。 同时，还包括模型转换后的一致性验证、余弦相似度。
项目github地址 Use PINet As an Lane Detetctor


...]]></description><category></category></item><item><title><![CDATA[VIL-100视频车道线实例数据集格式转换]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/119926552</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/119926552</guid><author>pandamax</author><pubDate>Thu, 26 Aug 2021 11:01:20 +0800</pubDate><description><![CDATA[VIL-100车道线数据集

数据集简介及下载路径
数据集格式转换
支持的标签转化格式：1.车道线实例分割标签; 2.车道线实例点集标签(Tusimple标注形式)
数据集相关示例图
- 原图标签可视化-curves
- 原图标签可视化-points,原标注点较密集
- 标签转实例mask
- 标签转tusimple格式可视化，等高间距采点

reference

数据集
数据集转换工具




...]]></description><category></category></item><item><title><![CDATA[CurveLanes车道线数据集格式转换]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/119924240</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/119924240</guid><author>pandamax</author><pubDate>Thu, 26 Aug 2021 10:39:40 +0800</pubDate><description><![CDATA[CurveLanes车道线数据集


数据集简介及下载路径


数据集格式转换
支持的标签转化格式：1.车道线实例分割标签; 2.车道线实例点集标签(Tusimple标注形式)


数据集转换后示例图
- 原图标签可视化-curves
 - 原图标签可视化-points,原标注点较稀疏
- 标签转实例mask
- 标签转tusimple格式可视化




...]]></description><category></category></item><item><title><![CDATA[Transformer笔记]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/114974660</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/114974660</guid><author>pandamax</author><pubDate>Thu, 18 Mar 2021 13:21:46 +0800</pubDate><description><![CDATA[1.transformer简介和入门实践
2.transformer-keras图像分类
3.实例教程：(PyTorch)从头实现Transformer

]]></description><category></category></item><item><title><![CDATA[图像质量评估（ Image Quality Assessment）]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/111880456</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/111880456</guid><author>pandamax</author><pubDate>Tue, 29 Dec 2020 09:48:48 +0800</pubDate><description><![CDATA[1.Group MAD Competition - A New Methodology to Compare Objective Image Quality Models
2.图像质量评估综述

]]></description><category></category></item><item><title><![CDATA[解析CurveLanes]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/108747630</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/108747630</guid><author>pandamax</author><pubDate>Wed, 23 Sep 2020 10:26:28 +0800</pubDate><description><![CDATA[关于CurveLanes数据集的介绍
解析CurveLanes数据集parse curvelanes datasets
 - parse_curvelanes.py：generate segmentation mask.
 - vis_curvelanes.py: visualize datasets on original image.
 - curvelanes2tusimples.py: convert datasets to tusimple format.





...]]></description><category></category></item><item><title><![CDATA[在wsl中遇到的“-- Detecting CXX compiler ABI info failed”问题解决]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/107800001</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/107800001</guid><author>pandamax</author><pubDate>Tue, 04 Aug 2020 21:26:35 +0800</pubDate><description><![CDATA[前提：排除cmake和依赖包缺失引起的问题
查看/etc/wsl.conf是否存在 ，若不存在，在/etc/目录下创建wsl.conf

$ wsl   #启动终端
$ cd /etc/ #进入etc目录
$ touch wsl.conf #创建wsl.cong文件
$ vim wsl.conf   # 打开wsl.conf

将代码段
[automount]
enabled = true
options = "metadata"`

写入wsl.conf保存后重新启动新终端
reference

...]]></description><category></category></item><item><title><![CDATA[cv读取/保存中文路径/命名图片]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/104058550</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/104058550</guid><author>pandamax</author><pubDate>Tue, 21 Jan 2020 09:20:26 +0800</pubDate><description><![CDATA[img = cv2.imdecode(np.fromfile("测试.jpg" ,dtype=np.uint8), cv2.IMREAD_UNCHANGED)
cv2.imencode('.jpg',mask)[1].tofile('测试.jpg'.)


]]></description><category></category></item><item><title><![CDATA[常用的图像增强库]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/103144349</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/103144349</guid><author>pandamax</author><pubDate>Tue, 19 Nov 2019 15:54:07 +0800</pubDate><description><![CDATA[1.albumentations
2.Automold–Road-Augmentation-Library
3.imgaug

]]></description><category></category></item><item><title><![CDATA[卡尔曼滤波器资源]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/100915922</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/100915922</guid><author>pandamax</author><pubDate>Tue, 17 Sep 2019 09:25:51 +0800</pubDate><description><![CDATA[kalman_filter

]]></description><category></category></item><item><title><![CDATA[使用OpenCV从图像裁剪旋转的矩形]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/100734362</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/100734362</guid><author>pandamax</author><pubDate>Wed, 11 Sep 2019 13:46:59 +0800</pubDate><description><![CDATA[Cropping Rotated Rectangles from Image with OpenCV
Robustly crop rotated bounding box on photos

]]></description><category></category></item><item><title><![CDATA[优质blog]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/100013568</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/100013568</guid><author>pandamax</author><pubDate>Thu, 22 Aug 2019 14:01:33 +0800</pubDate><description><![CDATA[Becoming One With the Data
讨论了数据中存在的问题以及解决方法


]]></description><category></category></item><item><title><![CDATA[用于监视CPU、RAM和GPU使用情况的4个最佳命令行工具]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/99674037</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/99674037</guid><author>pandamax</author><pubDate>Fri, 16 Aug 2019 11:16:08 +0800</pubDate><description><![CDATA[如果你现在真的想做任何数据驱动的事情，一台强大的个人电脑是必备的。数据科学往往需要RAM，强化学习很消耗CPU，深度学习很消耗GPU。
当你处理那些资源匮乏的应用程序时，重要的是要知道你的电脑是否在有效地被使用。

你的算法在CPU上是瓶颈吗？它能使用更多的内核吗？
你是否有足够的RAM，或者你的内存使用是否溢出到交换中（磁盘内存，非常慢）？
你的CPU或GPU运行过热了吗？Intel CPU和N...]]></description><category></category></item><item><title><![CDATA[Ubuntu-使用惠普打印机]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/95306301</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/95306301</guid><author>pandamax</author><pubDate>Wed, 10 Jul 2019 09:39:32 +0800</pubDate><description><![CDATA[1.查看打印机型号对应驱动
https://support.hp.com/us-en/drivers
2.下载及安装对应驱动，以HP LaserJet Pro MFP M128fn打印机为例，点击learn more，如果是此打印机类型，提供hplip-3.19.6.run  提取码h1i4

然后点击Download Linux drivers from the HP Linux Imaging...]]></description><category></category></item><item><title><![CDATA[TensorFlow on Mobile: Tutorial On Android and iOS]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/89149819</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/89149819</guid><author>pandamax</author><pubDate>Tue, 09 Apr 2019 15:11:08 +0800</pubDate><description><![CDATA[Train Inception with Custom Images on CPU
TensorFlow on Mobile: Tutorial

]]></description><category></category></item><item><title><![CDATA[TensorFlow 模型浮点数计算量]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/88863186</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/88863186</guid><author>pandamax</author><pubDate>Thu, 28 Mar 2019 10:17:51 +0800</pubDate><description><![CDATA[1.TensorFlow 模型浮点数计算量和参数量统计 
2.FLOP calculation by tf.profiler might be wrong #19746
3.Tensorflow Profile Model Architecture

]]></description><category></category></item><item><title><![CDATA[以VGG为例，分析深度网络的计算量和参数量]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/88659908</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/88659908</guid><author>pandamax</author><pubDate>Tue, 19 Mar 2019 13:09:30 +0800</pubDate><description><![CDATA[以VGG为例，分析深度网络的计算量和参数量 

]]></description><category></category></item><item><title><![CDATA[tensoflow-lite 8bit量化]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/88634572</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/88634572</guid><author>pandamax</author><pubDate>Mon, 18 Mar 2019 10:48:02 +0800</pubDate><description><![CDATA[tensoflow-lite 8bit量化

]]></description><category></category></item><item><title><![CDATA[机器学习类别不平衡问题]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/88112447</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/88112447</guid><author>pandamax</author><pubDate>Mon, 04 Mar 2019 13:41:19 +0800</pubDate><description><![CDATA[机器学习类别不平衡问题

]]></description><category></category></item><item><title><![CDATA[PyCharm专业版安装及远程运行调试代码]]></title><link>https://blog.youkuaiyun.com/pandamax/article/details/87972406</link><guid>https://blog.youkuaiyun.com/pandamax/article/details/87972406</guid><author>pandamax</author><pubDate>Wed, 27 Feb 2019 14:38:32 +0800</pubDate><description><![CDATA[PyCharm远程运行调试代码

]]></description><category></category></item></channel></rss>