skew

Using boost's skewed_normal_distribution

爷,独闯天下 提交于 2019-12-11 04:25:24
问题 I am fairly new to c++ and boost. I want to create a set of numbers that derived from a skewed distribution using Boost's skewed_normal_distribution class. I'm not sure how to even start. I want to define a distribution with mean 0.05, variance 0.95, but a skew of 0.5. The following code doesn't work and I realise I need to set up a variate_generator as well. Can anyone provide some pointers? I am not finding the boost documentation page on skew_normal_distribution very intuitive but that

Hive sort operation on high volume skewed dataset

早过忘川 提交于 2019-12-11 03:36:32
问题 I am working on a big dataset of size around 3 TB on Hortonworks 2.6.5, the layout of the dataset is pretty straight forward. The heirarchy of data is as follows - -Country -Warehouse -Product -Product Type -Product Serial Id We have transaction data in the above hierarchy for 30 countries each country have more than 200 warehouse, single country USA contributes around 75% of the entire data set. Problem: 1) We have transaction data with transaction date column ( trans_dt ) for the above data

CSS triangular cutout with border and transparent gap

余生颓废 提交于 2019-12-10 15:57:28
问题 I need to draw the following pattern with CSS as a separator between sections of my page: Using the skewX() technique from this answer, I was able to mimic the triangular cutout accurately (two pseudo-elements are appended to the top of the lower section, one skewed left and one skewed right, so that the background of the upper section shows through): But I can't figure out how to then add the border, as shown in the first image. The problem is that the gap between the border and the lower

(CSS) skew img frame without distorting image

╄→尐↘猪︶ㄣ 提交于 2019-12-08 06:16:48
问题 I'm making a website that contains many skewed elements, like this: This isn't too bad, there are CSS transforms that could skew it. But how about this: The image isn't distorted, just the frame is cropped in a skewed way. What's the easiest/best way to do this? 回答1: I ended up using the following. It creates a skewed parent, then unskews the child, centering it and making it big enough to fill the skew's stick-out bits. HTML <div class="skewed"> <img src="images/sad-kid.jpg"> </div> CSS div

Python OpenCV skew correction for OCR

自作多情 提交于 2019-12-06 10:17:05
问题 Currently, I am working on an OCR project where I need to read the text off of a label (see example images below). I am running into issues with the image skew and I need help fixing the image skew so the text is horizontal and not at an angle. Currently the process I am using attempts to score different angles from a given range (code included below), but this method is inconsistent and sometimes overcorrects an image skew or flat out fails to identify the skew and correct it. Just as a note

Detect if a text image is upside down

让人想犯罪 __ 提交于 2019-12-03 07:27:57
问题 I have some hundreds of images (scanned documents), most of them are skewed. I wanted to de-skew them using Python. Here is the code I used: import numpy as np import cv2 from skimage.transform import radon filename = 'path_to_filename' # Load file, converting to grayscale img = cv2.imread(filename) I = cv2.cvtColor(img, COLOR_BGR2GRAY) h, w = I.shape # If the resolution is high, resize the image to reduce processing time. if (w > 640): I = cv2.resize(I, (640, int((h / w) * 640))) I = I - np

3D skew transformation matrix along one coordinate axis

倖福魔咒の 提交于 2019-12-03 03:29:26
Is there a way to calculate the skew transformation matrix along one coordinate axis, given the skew angle, as follows This should work for the most part for skewing an object with a transformation matrix, in particular using glMultMatrix(matrix) matrix1[] = { 1, 0, 0, 0, tan(a), 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }; matrix2[] = { 1, 0, 0, 0, 0, 1, 0, 0, tan(a), 0, 1, 0, 0, 0, 0, 1 }; matrix3[] = { 1, tan(a), 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }; matrix4[] = { 1, 0, 0, 0, 0, 1, 0, 0, 0, tan(a), 1, 0, 0, 0, 0, 1 }; matrix5[] = { 1, 0, tan(a), 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }; matrix6[

Auto-resizing skewed background in CSS (+ images?)

瘦欲@ 提交于 2019-12-03 02:24:50
I'm going to convert this PSD image to CSS. I've multiple h2s in multiple pages, so the inner text lenght and background-color may vary. Therefore the background should automatically adapt to "any" length. So far, the markup is something like: <h2 class="sub-heading lab-heading">Laboratori</h2> I may eventually wrap the inner text into a <span> , but keeping a semantic valid markup without any additional element would be ♥ly. The inner text is rotated, but it's not mandatory. What i'm focusing on now is the skewed background. I'm open-minded to any solution using scaled background pngs (eg.

Detect if a text image is upside down

二次信任 提交于 2019-12-03 01:04:03
I have some hundreds of images (scanned documents), most of them are skewed. I wanted to de-skew them using Python. Here is the code I used: import numpy as np import cv2 from skimage.transform import radon filename = 'path_to_filename' # Load file, converting to grayscale img = cv2.imread(filename) I = cv2.cvtColor(img, COLOR_BGR2GRAY) h, w = I.shape # If the resolution is high, resize the image to reduce processing time. if (w > 640): I = cv2.resize(I, (640, int((h / w) * 640))) I = I - np.mean(I) # Demean; make the brightness extend above and below zero # Do the radon transform sinogram =

C implementation of skew heap

♀尐吖头ヾ 提交于 2019-12-02 05:58:56
I'm trying to implement a skew heap in C, but my code doesn't compile. I'm not that experienced in C and never created any type of heap in C. That is why I don't know how to fix it, I'm hoping someone can point me the right direction. I have been reading articles about the skew heap and this is what I got so far using the algorithms I have found online. Thanks in Advance. typedef struct node { int value; struct node * root; struct node * leftchild; struct node * rightchild; } Node; struct skewHeap { struct node * root; }; void skewHeapInit (struct skewHeap * sk) { sk->root = 0; } void