depth

问题 I have a tree of the form: { "id":442500000904671234, "reply":0, "children":[ { "id":442500532536893440, "reply":1, "children":[ { "id":442500826561785856, "reply":1, "children":[ { "id":442501277688545280, "reply":1, "children":[ { "id":442501561940709376, "reply":1, "children":[ { "id":442501884709199872, "reply":1, "children":[ ] } ] } ] } ] } ] }, { "id":442500099315597312, "reply":0, "children":[ ] } ] } How do I find maximum depth of the tree in python? 回答1: You can parse JSON with

问题 So I know you can in the subroutine, open the directory using opendir, then use readdir to to read all the files in the current working directory, then push all the files into an array. Go through the array if it is a file then print the file or push that file into a new array else if it is a directory recursively call the subroutine again. What I don't understand is where in here would I specify the depth. Any help is greatly appreciated. The following is the solution I arrived at with your

问题 I've been searching the internet and I haven't had any luck. I'm using an Xbox Kinect with the Kinect SDK v1.0. I want to take the raw depth data and convert it into a text document so I can use the depth data. I found something on this site but it was for the Beta2 and I need to use v1.0. Any help is appreciated but I am new to coding so sample code would be best. using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Windows; using System.Windows

问题 What's the easiest way to tell the number of bits per pixel in a bitmap, e.g. a Windows .bmp file? 回答1: Look at the header of the file. 回答2: //************************************** PROGRAM : To get the Number of bits per pixel of a bitmap. AUTHOR : Tanmay Roy. - M.Tech(Embedded Sys & VLSI) (Kolkata,INDIA) DATE : 20-May-2011 COMPILER: Visual Studio 6 REMARKS : It's done at very simple way, It works fine. This can be done at Turbo C also. but few modification neesed. E-MAIL : tanmay.roy8@gmail

问题 I have a few CubeGeometry objects rendered on the CanvasRenderer. I am getting some clipping issues due to depth sorting as shown on the following image. Now I have seen the responses on here that this is due to limitations in CanvasRenderer and I have tried applying a few things to get a better result but there is still the clipping issues. I have overdraw set to 1 and I have increased segments as much as I can without impacting performance too much. The image looks correct in the

问题 I am working on a classification problem (object classification for autonomous vehicle). I use a dataset from KITTI which provide Lidar and camera Data and want to use both of this data to perform the task. 3D LIDAR data is projected onto the coordinatesystem of the RGB image resulting in a sparse LIDAR image : Each pixel is encoding using depth (distance to the point : sqrt(X² + Y²), scaling between 0 and 255). In order to obtain better results for my CNN, I need a dense lidar image, anyone

问题 I want to be able to limit Perl's File::Find to a directory depth (below the specified search) to the specified directory and 1 & 2 subdirectories beneath it. I want to be able to enumerate the files at the same time, if this is possible. It must work with absolute paths. 回答1: This perlmonks node explains how to implement mindepth and maxdepth from GNU's find. Basically, they count the number of slashes in a directory, and use that to determine the depth. The preprocess function will then

问题 I need to use jquery's "find" selector to get all divs having the class "field_container". The problem is that I can't go too deep in the DOM tree. Here is my simplified HTML structure: <div id='tab_0'> <div id='form_content'> <div class='field_container'> <span>Div 1</span> <div class='field_container'> <span>Div 1.1</span> </div> </div> <div class='field_container'> <span>Div 2</span> </div> <div class='field_container'> <span>Div 3</span> </div> </div> <!-- Closing form_content div//--> <

问题 I'm working with Kinect and OpenCV. I already search in this forum but I didn't find anything like my problem. I keep the raw depth data from Kinect (16 bit), I store it in a CvMat* and then I pass it to the cvGetImage to create an IplImage* from it: CvMat* depthMetersMat = cvCreateMat( 480, 640, CV_16UC1 ); [...] cvGetImage(depthMetersMat,temp); But now I need to work on this image in order to do cvThreshdold and find contours. These 2 functions need an 8-bit-depth-image in input. How can I

问题 What I have done: To create a novel view(right image) from left image(given), I used the formula for pure translation between views(from Zissermann book) as: x' = x + K.t/Z x'= [u' v' 1]; x = [u v 1]; K = [f 0 cx; 0 f cy;0 0 1]; t = [t1 t2 t3]^T; Z - depth of pixel in left image The images and camera matrix were taken from Middlebury stereo 2014 dataset. By implementing this, I have an image with holes(black regions) due to disocclusions. What I need to do : To fill these holes, several