depth

Queue length 和 Queue depth 的区别

青春壹個敷衍的年華 提交于 2020-01-07 15:01:00
在网上搜索了半天,也没找到那篇文章把这个事儿说明白的。 我找了些资料,现在理解这两个概念的区别是这样的: queue depth是指的一个存储系统接受批量IO指令的最大条数。 queue length是指的某一时刻磁盘待处理的请求的数目。 所以说,在排查某个存储系统的性能问题的时候,queue depth 是一个比较固定的数, 而queue length则是跟workload的特性相关,对存储的压力大,则queue length会变长。 Queue depth is the number of I/O requests (SCSI commands) that can be queued at one time on a storage controller. Disk Queue Length is the number of requests outstanding on the disk at the time the performance data is collected. This means that the disk is not able to honor I/O requests as fast as they are being made. 参考资料 ============= Disk current disk queue length https:/

[LeetCode] 104. Maximum Depth of Binary Tree

送分小仙女□ 提交于 2020-01-07 05:09:02
二叉树最大深度。题意很简单,给一个二叉树,求它的最大深度。这是后序遍历的基础题,直接上代码。 Example: Given binary tree [3,9,20,null,null,15,7] , 3 / \ 9 20 / \ 15 7 return its depth = 3. 时间O(n) 空间O(h) - 树的高度 1 /** 2 * @param {TreeNode} root 3 * @return {number} 4 */ 5 var maxDepth = function(root) { 6 if (root === null) return 0; 7 let leftMax = maxDepth(root.left); 8 let rightMax = maxDepth(root.right); 9 return Math.max(leftMax, rightMax) + 1; 10 }; 来源: https://www.cnblogs.com/aaronliu1991/p/12159329.html

How to fill the black patches in a kinect v1 depth image

倾然丶 夕夏残阳落幕 提交于 2020-01-07 02:44:08
问题 I am using Object segmentation dataset having following information: Introduced: IROS 2012 Device: Kinect v1 Description: 111 RGBD images of stacked and occluding objects on table. Labelling: Per-pixel segmentation into objects. link for the page: http://www.acin.tuwien.ac.at/?id=289 I am trying to use the depth map provided by the dataset. However, it seems the depth map is completely black. Original image for the above depth map I tried to do some preprocessing and normalised the image so

find the edge based on normals

寵の児 提交于 2020-01-06 13:52:32
问题 I have a 480*640 depth image, and I got the normals (a 480*640*3 matrix) of each pixel from this depth image. Does anyone know how could I find the edge based on the normal information? Thanks a lot! 回答1: An intuitive definition of an edge in a depth image is where the surface normal faces away from the viewer. Assuming a viewing direction [0 0 -1] (into the XY plane) any normal that has nearly vanishing z component can be characterized as an edge. e = abs( depth(:,:,3) ) < 1e-3; %// a nice

find the edge based on normals

我们两清 提交于 2020-01-06 13:52:30
问题 I have a 480*640 depth image, and I got the normals (a 480*640*3 matrix) of each pixel from this depth image. Does anyone know how could I find the edge based on the normal information? Thanks a lot! 回答1: An intuitive definition of an edge in a depth image is where the surface normal faces away from the viewer. Assuming a viewing direction [0 0 -1] (into the XY plane) any normal that has nearly vanishing z component can be characterized as an edge. e = abs( depth(:,:,3) ) < 1e-3; %// a nice

93:复原IP地址

 ̄綄美尐妖づ 提交于 2020-01-03 12:36:27
给定一个只包含数字的字符串,复原它并返回所有可能的 IP 地址格式。 示例 输入 : "25525511135" 输出 : [ "255.255.11.135" , "255.255.111.35" ] 问题描述 记住IP地址的几个约束: 点分十进制,一共4段,每段1-3位 每段第一位如果是0的话,那么这段就是0 每段的值小于256 我们根据约束可以用DFS解决这个问题。我们别忘了剪枝来提高效率。 AC代码 class Solution : def restoreIpAddresses ( self , s : str ) : self . res = [ ] if len ( s ) < 4 : return self . res self . digui ( 0 , '' , s ) return self . res def digui ( self , depth , current , remains ) : if depth > 4 : return elif depth == 4 : if not len ( remains ) : self . res . append ( current [ : - 1 ] ) return for i in range ( 1 , 4 ) : if len ( remains ) > 0 and remains [ 0 ] ==

Abstract Inheritance in Django Model, causing MAX recursion depth error

只谈情不闲聊 提交于 2020-01-03 08:53:13
问题 I'm trying to implement abstract inheritance in Django with the following code, but it produces a MAX recursion depth error. I'm trying to override a model's save method. class BaseModel(models.Model): class Meta: abstract = True def save(self, *args, **kwargs): #i'm doing something here #i think the problem is in the return statement specifically because of the #self.__class__ expression. return super(self.__class__, self).save(*args, **kwargs) class MyModel(BaseModel): p = models.CharField

Abstract Inheritance in Django Model, causing MAX recursion depth error

亡梦爱人 提交于 2020-01-03 08:53:09
问题 I'm trying to implement abstract inheritance in Django with the following code, but it produces a MAX recursion depth error. I'm trying to override a model's save method. class BaseModel(models.Model): class Meta: abstract = True def save(self, *args, **kwargs): #i'm doing something here #i think the problem is in the return statement specifically because of the #self.__class__ expression. return super(self.__class__, self).save(*args, **kwargs) class MyModel(BaseModel): p = models.CharField

Kinect depth conversion from mm to pixels

孤人 提交于 2020-01-03 05:16:14
问题 Does anybody knows how many pixels correspond for each millimeter of depth value in images taken from kinect for xbox360? I'm using the standard resolution and settings... Thanks! 回答1: 1 pixel corresponds to a number of millimiters that depends on the depth value of that pixels (i.e. its level of gray). The simplest way you can get the distance between two pixels in a depth image is to convert those pixels (which are expressed in Depth Space ) in real world coordinates (i.e. in Skeleton Space

Calculate depth in a parent-child model in MySQL

蓝咒 提交于 2020-01-02 14:36:51
问题 How do I calculate a node's depth in a parent-child model under MySQL? I'll need the depth to, among other things, create the indent in my list (coded with PHP). 回答1: That depends on the actual implementation of your hierarchy in the database. If you are using nested sets model (http://mikehillyer.com/articles/managing-hierarchical-data-in-mysql/) you can retrieve the full parent-to-child path via a single select. Update : Ok, since you're going with adjacency list model I suggest to store