DataX 测试同步MySQL数据到MySQL
基本材料:同一台机器,安装了MySQL8,两个库:nacos 和 datax-demo,在nacos库新建一个视图v_datax_role_user;在datax-demo新建一个表t_datax_role_user;【注:使用的都是root用户】job.json内容为:{ "job": { "setting": { "speed": { "channel": 3 }, "errorLimit": { "record": 0, "percentage": 0.02 } }, "content": [ { "reader": { "name": "mysqlreader", "parameter": { "username": "nacos", "password": "nacos", "connection": [ { "querySql": [ "SELECT username, password, enabled, role FROM v_datax_role_user;" ], "jdbcUrl": [ "jdbc:mysql://127.0.0.1:3306/nacos?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true" ] } ] } }, "writer": { "name": "mysqlwriter", "parameter": { "writeMode": "insert", "username": "root", "password": "root", "column": [ "username", "password", "enabled", "role" ], "preSql": [ "delete from t_datax_role_user" ], "connection": [ { "jdbcUrl": "jdbc:mysql://127.0.0.1:3306/datax-demo?useUnicode=true&characterEncoding=utf8&serverTimezoneGMT%2B8&useSSL=true&rewriteBatchedStatements=true", "table": [ "t_datax_role_user" ] } ] } } } ] }}打算将nacos 的users和role同步到 datax-demo库的t_datax_role_user,报异常了。具体错误信息为:经DataX智能分析,该任务最可能的错误原因是:com.alibaba.datax.common.exception.DataXException: Code:[MYSQLErrCode-02], Description:[数据库服务的IP地址或者Port错误,请检查填写的IP地址和Port或者联系DBA确认IP地址和Port是否正确。如果是同步中心用户请联系DBA确认idb上录入的IP和PORT信息和数据库的当前实际信息是一致的]. - 具体错误信息为:com.mysql.jdbc.exceptions.jdbc4.CommunicationsException: Communications link failure
【跌倒检测】基于计算机视觉和帧差法的人体跌倒检测系统附matlab代码
✅作者简介:热爱科研的Matlab仿真开发者,修心和技术同步精进,matlab项目合作可私信。🍎个人主页:Matlab科研工作室🍊个人信条:格物致知。更多Matlab仿真内容点击👇智能优化算法 神经网络预测 雷达通信 无线传感器 电力系统信号处理 图像处理 路径规划 元胞自动机 无人机 ⛄ 内容介绍一种基于人体姿态估计的跌倒检测方法.包括接入视频,对视频进行解码得到视频帧,对视频帧做实时人体姿态估计,获取视频帧中人的关节点坐标;根据关节点的坐标位置,判断是否跌倒,本发明根据人体姿态估计,获取人体关节点的位置信息,根据部分关节点之间的位置关系判断是否有"跌倒"出现.⛄ 部分代码function [rectx,recty,area,perimeter] = minboundrect(x,y,metric)% minboundrect: Compute the minimal bounding rectangle of points in the plane% usage: [rectx,recty,area,perimeter] = minboundrect(x,y,metric)%% arguments: (input)% x,y - vectors of points, describing points in the plane as% (x,y) pairs. x and y must be the same lengths.%% metric - (OPTIONAL) - single letter character flag which% denotes the use of minimal area or perimeter as the% metric to be minimized. metric may be either 'a' or 'p',% capitalization is ignored. Any other contraction of 'area'% or 'perimeter' is also accepted.%% DEFAULT: 'a' ('area')%% arguments: (output)% rectx,recty - 5x1 vectors of points that define the minimal% bounding rectangle.%% area - (scalar) area of the minimal rect itself.%% perimeter - (scalar) perimeter of the minimal rect as found%%% Note: For those individuals who would prefer the rect with minimum% perimeter or area, careful testing convinces me that the minimum area% rect was generally also the minimum perimeter rect on most problems% (with one class of exceptions). This same testing appeared to verify my% assumption that the minimum area rect must always contain at least% one edge of the convex hull. The exception I refer to above is for% problems when the convex hull is composed of only a few points,% most likely exactly 3. Here one may see differences between the% two metrics. My thanks to Roger Stafford for pointing out this% class of counter-examples.%% Thanks are also due to Roger for pointing out a proof that the% bounding rect must always contain an edge of the convex hull, in% both the minimal perimeter and area cases.%%% Example usage:% x = rand(50000,1);% y = rand(50000,1);% tic,[rx,ry,area] = minboundrect(x,y);toc%% Elapsed time is 0.105754 seconds.%% [rx,ry]% ans =% 0.99994 -4.2515e-06% 0.99998 0.99999% 2.6441e-05 1% -5.1673e-06 2.7356e-05% 0.99994 -4.2515e-06%% area% area =% 0.99994%%% See also: minboundcircle, minboundtri, minboundsphere%%% Author: John D'Errico% E-mail: woodchips@rochester.rr.com% Release: 3.0% Release date: 3/7/07% default for metricif (nargin<3) || isempty(metric) metric = 'a';elseif ~ischar(metric) error 'metric must be a character flag if it is supplied.'else % check for 'a' or 'p' metric = lower(metric(:)'); ind = strmatch(metric,{'area','perimeter'}); if isempty(ind) error 'metric does not match either ''area'' or ''perimeter''' end % just keep the first letter. metric = metric(1);end% preprocess datax=x(:);y=y(:);% not many error checks to worry aboutn = length(x);if n~=length(y) error 'x and y must be the same sizes'end% start out with the convex hull of the points to% reduce the problem dramatically. Note that any% points in the interior of the convex hull are% never needed, so we drop them.if n>3 edges = convhull(x,y); % 'Pp' will silence the warnings % exclude those points inside the hull as not relevant % also sorts the points into their convex hull as a % closed polygon x = x(edges); y = y(edges); % probably fewer points now, unless the points are fully convex nedges = length(x) - 1;elseif n>1 % n must be 2 or 3 nedges = n; x(end+1) = x(1); y(end+1) = y(1);else % n must be 0 or 1 nedges = n;end% now we must find the bounding rectangle of those% that remain.% special case small numbers of points. If we trip any% of these cases, then we are done, so return.switch nedges case 0 % empty begets empty rectx = []; recty = []; area = []; perimeter = []; return case 1 % with one point, the rect is simple. rectx = repmat(x,1,5); recty = repmat(y,1,5); area = 0; perimeter = 0; return case 2 % only two points. also simple. rectx = x([1 2 2 1 1]); recty = y([1 2 2 1 1]); area = 0; perimeter = 2*sqrt(diff(x).^2 + diff(y).^2); returnend% 3 or more points.% will need a 2x2 rotation matrix through an angle thetaRmat = @(theta) [cos(theta) sin(theta);-sin(theta) cos(theta)];% get the angle of each edge of the hull polygon.ind = 1:(length(x)-1);edgeangles = atan2(y(ind+1) - y(ind),x(ind+1) - x(ind));% move the angle into the first quadrant.edgeangles = unique(mod(edgeangles,pi/2));% now just check each edge of the hullnang = length(edgeangles);area = inf;perimeter = inf;met = inf;xy = [x,y];for i = 1:nang % rotate the data through -theta rot = Rmat(-edgeangles(i)); xyr = xy*rot; xymin = min(xyr,[],1); xymax = max(xyr,[],1); % The area is simple, as is the perimeter A_i = prod(xymax - xymin); P_i = 2*sum(xymax-xymin); if metric=='a' M_i = A_i; else M_i = P_i; end % new metric value for the current interval. Is it better? if M_i<met % keep this one met = M_i; area = A_i; perimeter = P_i; rect = [xymin;[xymax(1),xymin(2)];xymax;[xymin(1),xymax(2)];xymin]; rect = rect*rot'; rectx = rect(:,1); recty = rect(:,2); endend% get the final rect% all doneend % mainline end⛄ 运行结果⛄ 参考文献[1] 谢开明. 基于GPRS的跌倒检测报警系统的设计与实现[D]. 重庆大学, 2010.[2] 王竞禹, 张晖, 钟琳灏,等. 一种基于计算机视觉的人体跌倒检测方法:.[3] 周民刚. 基于计算机视觉的人体跌倒检测算法研究[J]. 2013.[4] 张璐. 基于计算机视觉的人体室内跌倒检测方法研究[D]. 山东理工大学.⛳️ 完整代码❤️部分理论引用网络文献,若有侵权联系博主删除❤️ 关注我领取海量matlab电子书和数学建模资料