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emqx启用JWT令牌认证(包含hmac-based和public-key)

emqx连接启用jwt令牌认证jwt令牌概述JWT即JSONWebTokens是一种开放的,用于在两方之间安全地表示声明的行业标准的方法(RFC7519)。组成令牌的形式xxx.yyy.zzzeyJhbGciOiJIUzI1NiJ9.eyJleHAiOjE2NjU0Nzc4NjEsInVzZXIiOiJtcXR0LWNsaWVudCIsImlhdCI6MTY2NTQ3Njg2MX0.S9ZrrAk2zmUC2zQ7YNcGwhojLOKV5Bhe3zrMv6rQuzE由三部分组成,先后分别为HEADER、PAYLOAD、VERIFYSIGNATURE简单的说,xxx和yyy是对JSON字符串进

ByteDance Data Platform: ClickHouse-based Complex Query Implementation and Optimization

Intoday'smarket,ClickHouseisoneofthemostpopularcolumn-orienteddatabasemanagementsystems(DBMS).Arisingstarinthefield,ClickHousehasledanewwaveofanalyticaldatabasesintheindustrywithitsimpressiveperformanceadvantages,andithasamuchfasterqueryspeedthanmostotherdatabasemanagementsystemsofthesametype.WhileC

ByteDance Data Platform: ClickHouse-based Complex Query Implementation and Optimization

Intoday'smarket,ClickHouseisoneofthemostpopularcolumn-orienteddatabasemanagementsystems(DBMS).Arisingstarinthefield,ClickHousehasledanewwaveofanalyticaldatabasesintheindustrywithitsimpressiveperformanceadvantages,andithasamuchfasterqueryspeedthanmostotherdatabasemanagementsystemsofthesametype.WhileC

How Instrumentation-based IAST and RASP Revolutionize Vulnerability Assessment for Applicati

GartnerhaslistedIASTandRASPasamongitstoptensecuritytechnologiesformanyyears.Thesetwoinstrumentation-basedapproaches,likevaccinesforcodes,havebecomeincreasinglypopulartoolstouncoverandmitigateapplicationvulnerabilities.Inthisarticle,weinvitedMr.NingGe,CTOofXMIRROR, tointroducetheprinciples,technologi

How Instrumentation-based IAST and RASP Revolutionize Vulnerability Assessment for Applicati

GartnerhaslistedIASTandRASPasamongitstoptensecuritytechnologiesformanyyears.Thesetwoinstrumentation-basedapproaches,likevaccinesforcodes,havebecomeincreasinglypopulartoolstouncoverandmitigateapplicationvulnerabilities.Inthisarticle,weinvitedMr.NingGe,CTOofXMIRROR, tointroducetheprinciples,technologi

Python Open3D点云配准点对点,点对面ICP(Iterative Closest Point)

PythonOpen3D点云配准ICP(IterativeClosestPoint)这篇博客将介绍迭代最近点配准算法(IterativeClosestPoint,ICP)。多年来,它一直是研究和工业中几何注册的支柱。输入是两个点云和一个初始变换,该变换大致将源点云与目标点云对齐。输出是一个精确的变换,它将两个点云紧密对齐。将展示俩种ICP:点对点ICP(PointToPoint)和点对面ICP(PointToPlane)。函数draw_registration_result在icp过程中可视化对齐效果。目标点云和源点云分别用青色和黄色绘制。两个点云彼此重叠得越多越紧密,对齐结果越好。函数eva

Python Open3D点云配准点对点,点对面ICP(Iterative Closest Point)

PythonOpen3D点云配准ICP(IterativeClosestPoint)这篇博客将介绍迭代最近点配准算法(IterativeClosestPoint,ICP)。多年来,它一直是研究和工业中几何注册的支柱。输入是两个点云和一个初始变换,该变换大致将源点云与目标点云对齐。输出是一个精确的变换,它将两个点云紧密对齐。将展示俩种ICP:点对点ICP(PointToPoint)和点对面ICP(PointToPlane)。函数draw_registration_result在icp过程中可视化对齐效果。目标点云和源点云分别用青色和黄色绘制。两个点云彼此重叠得越多越紧密,对齐结果越好。函数eva

[paper reading]|IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base

摘要:本文说首次实现了大规模点云场景中基于点的模型的实时检测(首先指出FPS采样策略进行下采样是耗时的,尤其当点云增加的时候,计算量和推理时间快速增加;本文提出IC-FPS;包含两个模块:localfeaturediffusionbasedbackgroundpointfilter(LFDBF);CentroidInstanceSamplingStrategy(CISS);LFDBF用来排除大量的背景点,而CISS用来替代FPS;简介:早期的工作将点云投影为多视图,或体素点云,并通过3D卷积提取特征。这些方法虽然取得了很好的效果,但在将点云转换为block等中间表示时,不可避免地会丢失信息,导

[paper reading]|IC-FPS: Instance-Centroid Faster Point Sampling Module for 3D Point-base

摘要:本文说首次实现了大规模点云场景中基于点的模型的实时检测(首先指出FPS采样策略进行下采样是耗时的,尤其当点云增加的时候,计算量和推理时间快速增加;本文提出IC-FPS;包含两个模块:localfeaturediffusionbasedbackgroundpointfilter(LFDBF);CentroidInstanceSamplingStrategy(CISS);LFDBF用来排除大量的背景点,而CISS用来替代FPS;简介:早期的工作将点云投影为多视图,或体素点云,并通过3D卷积提取特征。这些方法虽然取得了很好的效果,但在将点云转换为block等中间表示时,不可避免地会丢失信息,导

(CVPR 18) FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation

FoldingNet[1]提出了一种点云自编码器结构,属于自监督学习的范畴,可以将输入点云投影(即特征降维)至具有丰富语义信息的高维空间中,形成高维特征向量(文中用“codeword”指代),即编码过程。接着通过解码网络将高维特征向量恢复得到高维度的输入点云。如下图所示,对于input输入点云,首先经过特征编码形成codeword(不是图中的2Dgrid),接着进行两次folding操作,恢复得到与输入点云相似的输出点云:WhatisFoldingOperation?作者在文中指出,从直觉上来说,任何三维空间表面结构都可以通过“裁剪”,“挤压”,“屈伸”等操作转换成二维平面表示,因此以上操作的