精华内容
下载资源
问答
  • Cannot Calibrate

    2020-12-26 10:28:41
    <div><p>When I follow the docs and attempt to calibrate a color by clicking on the indicator in the side panel and then clicking on the appropriate dot picked up from the calibration page, nothing ...
  • calibrate.pdf

    2015-08-19 16:55:40
    calibrate pdf for ptam
  • calibrate sensors

    2017-12-08 14:55:15
    Why do we need to calibrate sensors?There are a lot of good sensors these days and many are ‘good enough’ out of the box for many non-critical applications. But in order to achieve the best possible...

    Why do we need to calibrate sensors?

    There are a lot of good sensors these days and many are ‘good enough’ out of the box for many non-critical applications. But in order to achieve the best possible accuracy, a sensor should be calibrated in the system where it will be used. This is because:

    • No sensor is perfect.
      • Sample to sample manufacturing variations mean that even two sensors from the same manufacturer production run may yield slightly different readings.
      • Differences in sensor design mean two different sensors may respond differently in similar conditions. This is especially true of ‘indirect’ sensors that calculate a measurement based on one or more actual measurements of some different, but related parameter.
      • Sensors subject to heat, cold, shock, humidity etc. during storage, shipment and/or assembly may show a change in response.
      • Some sensor technologies ‘age’ and their response will naturally change over time - requiring periodic re-calibration.
    • The Sensor is only one component in the measurement system.
      • With analog sensors, your ADC is part of the measurement system and subject to variability as well.
      • Temperature measurements are subject to thermal gradients between the sensor and the measurement point.
      • Light and color sensors can be affected by spectral distribution, ambient light, specular reflections and other optical phenomena.
      • Inertial sensors are sensitive to alignment with the system being measured.

    What makes a good sensor?

    The two most important characteristic of a sensor are:

    • Precision-The ideal sensor will always produce the same output for the same input.
    • Resolution - A good sensor will be able to reliably detect small changes in the measured parameter.

      这里写图片描述

    What affects precision?

    • Noise - All measurement systems are subject to random noise to some degree. Measurement systems with a low Signal to Noise Ratio will have problems making repeatable measurements. In the diagrams above, the sensor on the right shows much better precision than the noisy one on the left.
    • Hysteresis - Some types of sensors also exhibit hysteresis. The sensor will tend to read low with an increasing signal and high with a decreasing signal as shown in the graph below. Hysteresis is a common problem with many pressure sensors.
      To paraphrase George Santayana:

      “Those who ingnore hysteresis are doomed to unrepeatable results.”

      这里写图片描述

    Are there any other important qualities in a sensor?

    Precision and resolution are the real ‘must have’ qualities. But there are a couple of other ‘nice-to-have’ qualities:

    Linearity - A sensor whose output is directly proportional to the input is said to be linear. This eliminates the need to do any complex curve-fitting and simplifies the calibration process.

    Speed - All else being equal, a sensor that can produce precise readings faster is a good thing to have.

    这里写图片描述

    What about accuracy? Isn’t accuracy the most important thing?

    Accuracy is a combination of precision, resolution and calibration. If you have a sensor that gives you repeatable measurements with good resolution, you can calibrate it for accuracy.

    What about digital sensors? Aren’t they calibrated at the factory?

    To some degree, yes. Nevertheless, digital sensors are still subject to manufacturing and operating condition variability. For critical measurements, you need to calibrate the total system.

    But the manufacturer’s spec sheet says it is accurate to 0.00000001%

    And it probably is - when measured in their QA test fixture using their test procedures and according to their definition of ‘accuracy’.

    Your mileage may vary!

    展开全文
  • Raftery-2005-MWR-using bayesian model averaging to calibrate forecast
  • calibrate_cameras( : : CalibDataID : Error) 详细用法步骤: 在调用这个算子之前,分别五个算子:1,创建标定矩阵模型,2,初始化相机参数和选择类型,3,指定所有校准对象的描述,4,两个算子收集标定需要的信息...

    算子用法:通过同时最小化过程确定所有摄像机参数。

    函数声明:

    calibrate_cameras( : : CalibDataID : Error)
    

    详细用法步骤:
    在调用这个算子之前,分别五个算子:1,创建标定矩阵模型,2,初始化相机参数和选择类型,3,指定所有校准对象的描述,4,两个算子收集标定需要的信息,5,指定设置中单个摄像机或校准对象姿势的完整设置或配置参数的参数

    1,Create a calibration data model with the operator create_calib_data, specifying the number of cameras in the setup and the number of used calibration objects.

    2,Specify the camera type and the initial internal camera parameters for all cameras with the operator set_calib_data_cam_param. Note that only cameras of the same type can be calibrated in a single setup.

    3,Specify the description of all calibration objects with the operator set_calib_data_calib_object.

    4,Collect observation data with the operators find_calib_object or set_calib_data_observ_points, i.e., the image coordinates of the extracted calibration marks of the calibration object and a roughly estimated pose of the calibration object relative to the observing camera.

    5,Configure the calibration process, e.g., specify the reference camera or exclude certain internal or external camera parameters from the optimization. With the operator set_calib_data, you can specify parameters for the complete setup or configure parameters of individual cameras or calibration object poses in the setup.

    参数说明:

    1. CalibDataID ,输入参数,标定模型句柄
    2. Error,输出参数,背面投影根表示优化的方形误差 (RMSE)。
    展开全文
  • A fast and reliable method to calibrate LiNbO3-based polarization controllers (PCs) presented theoretically and experimentally. Particle swarm optimization (PSO) algorithm is used as an adaptive ...
  • m not sure how could i calibrate the sensors. For what i understood, the BasicAHRS file does not calibrate the sensors, right? and the teensy specific ones do a calibration process. So, how could i ...
  • ts_calibrate

    千次阅读 2014-12-05 16:03:26
    /* * tslib/tests/ts_calibrate.c * * Copyright (C) 2001 Russell King. * * This file is placed under the GPL. Please see the file * COPYING for more details. * * * Basic test program for touchscreen lib
    <pre name="code" class="html">这个程序主要用来解决电阻屏第一次校准时防止产品线工人乱校屏和校屏时不再需要保存第一次校准屏幕的参数;
    方法:根据不同触摸屏的x,y轴的不同的比例来小化5点校准位置。
     
    
    </pre><pre code_snippet_id="543384" snippet_file_name="blog_20141205_1_6604879" name="code" class="html">/*
     *  tslib/tests/ts_calibrate.c
     *
     *  Copyright (C) 2001 Russell King.
     *
     * This file is placed under the GPL.  Please see the file
     * COPYING for more details.
     *
     *
     * Basic test program for touchscreen library.
     */
    #include "config.h"
    
    #include <stdio.h>
    #include <stdlib.h>
    #include <signal.h>
    #include <string.h>
    #include <unistd.h>
    #include <sys/fcntl.h>
    #include <sys/ioctl.h>
    #include <sys/mman.h>
    #include <sys/time.h>
    #include <sys/stat.h>
    #include <linux/kd.h>
    #include <linux/vt.h>
    #include <linux/fb.h>
    
    #include "tslib.h"
    
    #include "fbutils.h"
    #include "testutils.h"
    
    static int palette [] =
    {
    	0x000000, 0xffe080, 0xffffff, 0xe0c0a0
    };
    #define NR_COLORS (sizeof (palette) / sizeof (palette [0]))
    
    typedef struct {
    	int x[5], xfb[5];
    	int y[5], yfb[5];
    	int a[7];
    } calibration;
    
    static void sig(int sig)
    {
    	close_framebuffer ();
    	fflush (stderr);
    	printf ("signal %d caught\n", sig);
    	fflush (stdout);
    	exit (1);
    }
    
    int perform_calibration(calibration *cal) {
    	int j;
    	float n, x, y, x2, y2, xy, z, zx, zy;
    	float det, a, b, c, e, f, i;
    	float scaling = 65536.0;
    
    // Get sums for matrix
    	n = x = y = x2 = y2 = xy = 0;
    	for(j=0;j<5;j++) {
    		n += 1.0;
    		x += (float)cal->x[j];
    		y += (float)cal->y[j];
    		x2 += (float)(cal->x[j]*cal->x[j]);
    		y2 += (float)(cal->y[j]*cal->y[j]);
    		xy += (float)(cal->x[j]*cal->y[j]);
    	}
    
    // Get determinant of matrix -- check if determinant is too small
    	det = n*(x2*y2 - xy*xy) + x*(xy*y - x*y2) + y*(x*xy - y*x2);
    	if(det < 0.1 && det > -0.1) {
    		printf("ts_calibrate: determinant is too small -- %f\n",det);
    		return 0;
    	}
    
    // Get elements of inverse matrix
    	a = (x2*y2 - xy*xy)/det;
    	b = (xy*y - x*y2)/det;
    	c = (x*xy - y*x2)/det;
    	e = (n*y2 - y*y)/det;
    	f = (x*y - n*xy)/det;
    	i = (n*x2 - x*x)/det;
    
    // Get sums for x calibration
    	z = zx = zy = 0;
    	for(j=0;j<5;j++) {
    		z += (float)cal->xfb[j];
    		zx += (float)(cal->xfb[j]*cal->x[j]);
    		zy += (float)(cal->xfb[j]*cal->y[j]);
    	}
    
    // Now multiply out to get the calibration for framebuffer x coord
    	cal->a[0] = (int)((a*z + b*zx + c*zy)*(scaling));
    	cal->a[1] = (int)((b*z + e*zx + f*zy)*(scaling));
    	cal->a[2] = (int)((c*z + f*zx + i*zy)*(scaling));
    
    	printf("%f %f %f\n",(a*z + b*zx + c*zy),
    				(b*z + e*zx + f*zy),
    				(c*z + f*zx + i*zy));
    
    // Get sums for y calibration
    	z = zx = zy = 0;
    	for(j=0;j<5;j++) {
    		z += (float)cal->yfb[j];
    		zx += (float)(cal->yfb[j]*cal->x[j]);
    		zy += (float)(cal->yfb[j]*cal->y[j]);
    	}
    
    // Now multiply out to get the calibration for framebuffer y coord
    	cal->a[3] = (int)((a*z + b*zx + c*zy)*(scaling));
    	cal->a[4] = (int)((b*z + e*zx + f*zy)*(scaling));
    	cal->a[5] = (int)((c*z + f*zx + i*zy)*(scaling));
    
    	printf("%f %f %f\n",(a*z + b*zx + c*zy),
    				(b*z + e*zx + f*zy),
    				(c*z + f*zx + i*zy));
    
    // If we got here, we're OK, so assign scaling to a[6] and return
    	cal->a[6] = (int)scaling;
    	return 1;
    /*	
    // This code was here originally to just insert default values
    	for(j=0;j<7;j++) {
    		c->a[j]=0;
    	}
    	c->a[1] = c->a[5] = c->a[6] = 1;
    	return 1;
    */
    
    }
    
    static void get_sample (struct tsdev *ts, calibration *cal,
    			int index, int x, int y, char *name)
    {
    	static int last_x = -1, last_y;
    
    	if (last_x != -1) {
    #define NR_STEPS 10
    		int dx = ((x - last_x) << 16) / NR_STEPS;
    		int dy = ((y - last_y) << 16) / NR_STEPS;
    		int i;
    		last_x <<= 16;
    		last_y <<= 16;
    		for (i = 0; i < NR_STEPS; i++) {
    			put_cross (last_x >> 16, last_y >> 16, 2 | XORMODE);
    			usleep (1000);
    			put_cross (last_x >> 16, last_y >> 16, 2 | XORMODE);
    			last_x += dx;
    			last_y += dy;
    		}
    	}
    
    	put_cross(x, y, 2 | XORMODE);
    	getxy (ts, &cal->x [index], &cal->y [index]);
    	put_cross(x, y, 2 | XORMODE);
    
    	last_x = cal->xfb [index] = x;
    	last_y = cal->yfb [index] = y;
    
    	printf("%s : X = %4d Y = %4d\n", name, cal->x [index], cal->y [index]);
    }
    
    static int clearbuf(struct tsdev *ts)
    {
    	int fd = ts_fd(ts);
    	fd_set fdset;
    	struct timeval tv;
    	int nfds;
    	struct ts_sample sample;
    
    	while (1) {
    		FD_ZERO(&fdset);
    		FD_SET(fd, &fdset);
    
    		tv.tv_sec = 0;
    		tv.tv_usec = 0;
    
    		nfds = select(fd + 1, &fdset, NULL, NULL, &tv);
    		if (nfds == 0) break;
    
    		if (ts_read_raw(ts, &sample, 1) < 0) {
    			perror("ts_read");
    			exit(1);
    		}
    	}
    }
    
    #define ERR_LIMIT 85000
    
    static int check_point(calibration *cal){
            /*current eight length data*/
            int curr_dat[8] = {0};
            /*calculate after data*/
            int margin_of_error[8] = {0};
            int X_scale,Y_scale;
            int i,tmp1,tmp2;
            memset(curr_dat,0,sizeof(curr_dat));
            memset(margin_of_error,0,sizeof(margin_of_error));
    
            for(i = 0;i < 3;i++){
                    tmp1 =  abs(cal->x[i+1] - cal->x[i]);
                    tmp2 =  abs(cal->y[i+1] - cal->y[i]);
                    curr_dat[i] = tmp1*tmp1+tmp2*tmp2;
            }
    
            tmp1 =  abs(cal->x[0] - cal->x[3]);
            tmp2 =  abs(cal->y[0] - cal->y[3]);
            curr_dat[3] = tmp1*tmp1+tmp2*tmp2;
    
            for(i = 4;i < 8;i++){
                    tmp1 =  abs(cal->x[i-4] - cal->x[4]);
                    tmp2 =  abs(cal->y[i-4] - cal->y[4]);
                    curr_dat[i] = tmp1*tmp1+tmp2*tmp2;
            }
            tmp1 = (abs(cal->x[0] - cal->x[2]) + abs(cal->x[1] - cal->x[3]))/2;
            X_scale = (tmp1*100)/700;
            tmp2 = (abs(cal->y[0] - cal->y[2]) + abs(cal->y[1] - cal->y[3]))/2;
            Y_scale = (tmp2*100)/380;
            margin_of_error[0] = margin_of_error[2] = (X_scale*700/100)*(X_scale*700/100);
            margin_of_error[1] = margin_of_error[3] = (Y_scale*380/100)*(Y_scale*380/100);
            margin_of_error[4] = margin_of_error[5] = margin_of_error[6] = margin_of_error[7] = 
                  (X_scale*350/100)*(X_scale*350/100) + (Y_scale*190/100)*(Y_scale*190/100);
            for(i = 0;i < 8;i++){
                    printf("Margin of error: %d\n",abs(curr_dat[i]-margin_of_error[i]));
            }
            for(i = 0;i < 8;i++){
                    /*check every point is same position?*/
                  if(curr_dat[i] < 100000) return -1;
                    /*check eight length is OK*/
                  if(abs((curr_dat[i] - margin_of_error[i])) > ERR_LIMIT)
                          return -1;
            }
            return 0;
            
    }
    
    int main()
    {
    	struct tsdev *ts;
    	calibration cal;
    	int cal_fd;
    	char cal_buffer[256];
    	char *tsdevice = NULL;
    	char *calfile = NULL;
    	unsigned int i, len;
            unsigned int err_flag = 0;
    
    	signal(SIGSEGV, sig);
    	signal(SIGINT, sig);
    	signal(SIGTERM, sig);
    
    	if( (tsdevice = getenv("TSLIB_TSDEVICE")) != NULL ) {
    		ts = ts_open(tsdevice,0);
    	} else {
    		if (!(ts = ts_open("/dev/input/event0", 0)))
    			ts = ts_open("/dev/touchscreen/ucb1x00", 0);
    	}
    
    	if (!ts) {
    		perror("ts_open");
    		exit(1);
    	}
    	if (ts_config(ts)) {
    		perror("ts_config");
    		exit(1);
    	}
    
    	if (open_framebuffer()) {
    		close_framebuffer();
    		exit(1);
    	}
    
    	for (i = 0; i < NR_COLORS; i++)
    		setcolor (i, palette [i]);
    again_cal:
    	put_string_center (xres / 2, yres / 4,
    			   "TSLIB calibration utility", 1);
    	put_string_center (xres / 2, yres / 4 + 20,
    			   "Touch crosshair to calibrate", 2);
    
    	printf("xres = %d, yres = %d\n", xres, yres);
    
    	// Clear the buffer
    	clearbuf(ts);
    
    	get_sample (ts, &cal, 0, 50,        50,        "Top left");
            if(err_flag){
                    put_string_center (xres / 2, yres / 4 + 50, 
                               "Please try again!", 1|XORMODE);
                    err_flag = 0;
            }
    	clearbuf(ts);
    	get_sample (ts, &cal, 1, xres - 50, 50,        "Top right");
    	clearbuf(ts);
    	get_sample (ts, &cal, 2, xres - 50, yres - 50, "Bot right");
    	clearbuf(ts);
    	get_sample (ts, &cal, 3, 50,        yres - 50, "Bot left");
    	clearbuf(ts);
    	get_sample (ts, &cal, 4, xres / 2,  yres / 2,  "Center");
            if(check_point(&cal)) {
                    if(!err_flag) {
                            err_flag = 1;
                            put_string_center (xres / 2, yres / 4 + 50, 
                               "Please try again!", 1|XORMODE);
                    }
                    goto again_cal;
            }
            put_string_center (xres / 2, yres / 4 + 50, 
                               "Calibrate OK !", 1|XORMODE);
    	if (perform_calibration (&cal)) {
    		printf ("Calibration constants: ");
    		for (i = 0; i < 7; i++) printf("%d ", cal.a [i]);
    		printf("\n");
    		if ((calfile = getenv("TSLIB_CALIBFILE")) != NULL) {
    			cal_fd = open (calfile, O_CREAT | O_RDWR,
    			               S_IRUSR | S_IWUSR | S_IRGRP | S_IROTH);
    		} else {
    			cal_fd = open (TS_POINTERCAL, O_CREAT | O_RDWR,
    			               S_IRUSR | S_IWUSR | S_IRGRP | S_IROTH);
    		}
    		len = sprintf(cal_buffer,"%d %d %d %d %d %d %d %d %d",
    		              cal.a[1], cal.a[2], cal.a[0],
    		              cal.a[4], cal.a[5], cal.a[3], cal.a[6],
    		              xres, yres);
    		write (cal_fd, cal_buffer, len);
    		close (cal_fd);
                    i = 0;
    	} else {
    		printf("Calibration failed.\n");
    		i = -1;
    	}
    
    	close_framebuffer();
    	return i;
    }


    展开全文
  • Oracle 11g有两个对于性能方面的测试工具,一个就是RAT(Real Application Test),另一个就是IO校准(Calibrate IO)。RAT是一种负载重演组件,当进行系统软硬件升级的时候,我们一个很关注的问题是:此次变化能否...

    Oracle 11g有两个对于性能方面的测试工具,一个就是RAT(Real Application Test),另一个就是IO校准(Calibrate IO)。RAT是一种负载重演组件,当进行系统软硬件升级的时候,我们一个很关注的问题是:此次变化能否提升系统性能、能提升多少,会不会有新的瓶颈。这个在过去是不能实现的,只能够在升级之后通过实践去发现。但是RAT可以捕获实际系统负载情况,将其在新环境下进行重演,并且进行度量比较。IO调教的作用也是IO负载模拟,从而判断出实际真实的系统IO情况。
    正常情况下,IO是会自动校准的,可以得知具体的并发数;

    explain plan for select /*+parallel*/ * from scott.emp;
         select * from table(dbms_xplan.display);
    那么这里我怎么知道cbo计算的实际的并发数呢?
    2种方式
    1.通过v$pq_slave
    2.通过执行计划的auto dop提示
    

    在这里插入图片描述
    可以看到,此时的实际并发数为2;

    如果dop提示为:automatic DOP: skipped because of IO calibrate statistics are missing
    那么表示dop无法自动校准io,这个可能会影响执行计划的并发度;从而影响查询影响

    11g中有一个视图v$io_calibration_status,记录了系统进行校准状态。和统计量不同,Oracle是不会自动进行IO校准的,而需要DBA手工完成。
    select * from v$io_calibration_status;--状态
    select * from DBA_RSRC_IO_CALIBRATE;--校准结果
    此时是空的;
    那么如何使dop能够正常工作呢?
    调用: dbms_resource_manager.calibrate_io这个过程;
    
    
     在运行 i/o 校准之前, 请确保满足以下要求:
    1必须授予用户权限SYSDBA
    2 timed_statistics必须设置为TRUE
    show parameter timed_statistics
    NAME                                 TYPE        VALUE
    ------------------------------------ ----------- -----
    timed_statistics                     boolean     TRUE
    
    3必须启用异步 i/o
    show parameter disk_asy
    NAME                                 TYPE        VALUE
    ------------------------------------ ----------- ------
    disk_asynch_io                       boolean     TRUE
    4通过运行以下查询, 确保为数据文件启用了异步 i/o:
    COL NAME FORMAT A50
    SELECT NAME,ASYNCH_IO FROM V$DATAFILE F,V$IOSTAT_FILE I
    WHERE  F.FILE#=I.FILE_NO
    AND    FILETYPE_NAME='Data File';
    
    --入参
    desc dbms_resource_manager.calibrate_io
    Parameter          Type           Mode Default? 
    ------------------ -------------- ---- -------- 
    NUM_PHYSICAL_DISKS BINARY_INTEGER IN   Y        
    MAX_LATENCY        BINARY_INTEGER IN   Y        
    MAX_IOPS            BINARY_INTEGER OUT           
    MAX_MBPS           BINARY_INTEGER OUT           
    ACTUAL_LATENCY     BINARY_INTEGER OUT    
    

    调用的过程如下:

    declare
       lat integer;
       iops integer;
       mbps integer;
    begin
     
       dbms_resource_manager.calibrate_io(2,10,iops, mbps, lat);
       dbms_output.put_line ('max_iops = ' || iops);
       dbms_output.put_line ('latency = ' || lat);
       dbms_output.put_line('max_mbps = ' || mbps);
     end;
    
    

    入参:
    NUM_PHYSICAL_DISKS: 物理磁盘的大致数量
    MAX_LATENCY:此工作负荷的平均延迟。当您需要特定的目标延迟时, 可以使用输入参数指定目标延迟 (为数据库块大小的 IO 请求指定最大可容忍延迟 (毫秒)
    出参:
    MAX_IOPS :
    该过程将随机数据库块大小读取 (默认情况下为 8 KB) 从所有数据库实例中的所有数据文件中发出。此步骤提供了数据库可以维持的最大 IOPS (输出参数)。
    ACTUAL_LATENCY:实际延迟数;
    MAX_MBPS:这个应该是IO每秒的吞吐量每秒MB;

    校验时间可能会比较长,我这里暗影精灵2,win10 1803版本,花了271.367s

    在这里插入图片描述

    启动校准之后,Oracle生成大量的IO操作,来判断存储的极限。这个过程也就是让我们了解当前IO架构的上限。
    在执行过程中,我们可查看校准状态v$io_calibration_status。
    I/O校准成功完成后,可以查看校准结果 DBA_RSRC_IO_CALIBRATE表;

    select aa.STATUS,to_char(aa.CALIBRATION_TIME,‘yyyy-mm-dd hh24:mi:ss:ff3’) from v$io_calibration_status aa;
    在这里插入图片描述

    select to_char(aa.start_time, ‘yyyy-mm-dd hh24:mi:ss:ff3’) start_time,
    to_char(aa.end_time, ‘yyyy-mm-dd hh24:mi:ss:ff3’) end_time,
    aa.max_iops,
    aa.max_mbps,
    aa.max_pmbps,
    aa.latency,
    aa.num_physical_disks
    from DBA_RSRC_IO_CALIBRATE aa;

    在这里插入图片描述

    IO校准后,Auto DOP就可以正常工作了;

    Oracle自动化、智能化过程中,是需要提供很多辅助信息的。
    Calibrate IO是一个重要方面。Oracle不进行自动的Calibrate IO统计量的原因大体有三个:
    首先是Oracle并不知道实际磁盘的标准指标。
    第二是Oracle校准过程生成很大的IO,如果不慎会引起很大产品问题。
    第三是Disk IO性能不会经常性发生变化。

    参考:https://blog.csdn.net/u010719917/article/details/53337048
    https://docs.oracle.com/cd/E18283_01/server.112/e16638/iodesign.htm#insertedID3

    展开全文
  • lidar calibrate标定

    2021-02-01 14:31:01
    激光雷达外参数标定体验版。半开源代码,谨慎下载。 在Ubuntu16.04和18.04已测试。 完全开源付费版本:...单激光雷达安装外参自标定,使用ROS平台,带标定效果评估。分以下步骤: 点云滤波 ... 最优输出
  • 使用ts_lib包自带的ts_calibrate校准触摸屏非常简单实用,但在基于Xsever的GUI应用环境下,有两个问题存在: 1.校准后必须重新启动X,应用端才能生效。这样处理用户肯定不能接受,因为启动一次机器毕竟耗时。 2.在...
  • <p>I am trying to calibrate my Intel realsense D435 using Intel Realsense Dynamic Calibrator Tool (v2.11.0.0). I get to the blue boxes screen but unable to disappear all the blue boxes, the problem is...
  • Onnx_calibrate calibration代码原理分析 Calibration的思想是通过一堆验证数据集输入到网络中,统计每一层layer的输出值,通过对比量化前后数据统计分布之间的KL散度找到最佳的映射值T.具体参考NVIDIAGTC2017的ppt...
  • Calibrate测试Exadata IO

    2013-03-19 00:52:00
    以下同时使用cellcli calibrate和DBMS_RESOURCE_MANAGER.CALIBRATE_IO包测试 Exadata IO, Exadata为X2-2 1/4 RAC: CellCLI: Release 11.2.3.1.1 - Production on Mon Dec 03 00:32:27 EST 2012 Copyright (c) ...
  • 鱼眼相机的标定fisheye_calibrate

    千次阅读 2019-07-09 11:30:15
    直接上代码:https://github.com/LixinLu42/fisheye_calibrate 欢迎骚扰我的github哈~~~ 使用方法,需要使用鱼眼相机拍摄棋盘格的一组照片,尽量每个角度都要拍,拍个三四十张,保存在本地,使用本程序读取并且...
  • CALIBRATE_IO测试

    千次阅读 2014-01-16 00:07:49
    在oracle 11g及更高版本中,参数 parallel_io_cap 被设置成true,oracle将限制并行度为IO子系统能支持的大小,使用前需先使用过程 dbms_resource_manager.calibrate_io计算出IO子系统的限制. 以下为计算IO子系统限制...
  • 原文 解决方法: 运行 kalibr_calibrate_cameras时加入--show-extraction选项。
  • oracle IO性能测试 -- calibrate_io

    千次阅读 2019-04-23 12:04:30
    需要测试新老机器的IO性能差距,可以使用DBMS_RESOURCE_MANAGER.calibrate_io。原来在exadata上专用的,后来释放到所有的database。跑的时候可以同时执行iostat -x 1300看看,综合评估IO。另外这个跑起来要小心,...
  • ecPoint-Calibrate是一款使用条件验证工具将数值天气预报(NWP)模型输出与点观测值进行比较的软件,并以此方式预测子网格的可变性并识别网格规模上的偏差。 它提供了一个动态且用户友好的环境,可以对NWP模型参数...
  • Oracle 11g中的IO Calibrate(IO校准)--Automatic Degree of Parallelism(DOP) Oracle 11g中...
  • 触摸屏校准程序ts_calibrate(转)

    千次阅读 2014-07-30 11:47:37
    使用ts_lib包自带的ts_calibrate校准触摸屏很简单实用,但在基于Xsever的GUI应用环境下,有两个问题存在:  1.校准后必须重新启动X,应用端才能生效。这样处理用户肯定不能接受,因为启动一次机器毕竟耗时。 ...
  • Tslib Manual Calibrate On Android

    千次阅读 2012-04-17 16:19:20
    转:http://blog.163.com/fenglang_2006/blog/static/133662318200911172427618/ Tslib Manual Calibrate On Android  --by ONCE 1.android 的坐标转换处理 This implementation i
  • 查询有多少物理盘: select group_number, name, total_mb, free_mb, total_mb-free_mb used_mb from v$asm_...执行calibrate io包: set timing on set serveroutput on declare   v_max_iops BINARY_I
  • <div><p>This changes the color of the polygon depending on whether the chessboard can be detected. It also does an additional check when saving the image to confirm the chessboard is detected.</p><p>...
  • * 本示例说明了如何对SCARA...CalibObjDescr := 'calibrate_hand_eye_scara_setup_01_calplate.cpd' //校准板的描述文件 gen_cam_par_area_scan_division (0.004938, -10379.136, 4.65138e-006, 4.65e-006, 617.29
  • Calibrate 张正友标定

    2012-06-28 16:16:03
    自己编写的在vc上用opencv编写的张正友标定

空空如也

空空如也

1 2 3 4 5 ... 20
收藏数 7,132
精华内容 2,852
关键字:

calibrate