contour

问题 Given this image: I'd like to make it such that it will rotate and stretch to fully fit in the bounding box with no whitespace on the outside of the largest rectangular box. It should also account for worse perspective case, like in the links I list later on. Basically, while it is not noticeable, the rectangle is rotated a little bit, and I'd like to fix that distortion. However, I got an error when attempting to retrieve the four points of the contour. I have made sure and utilized contour

问题 I would like to plot in R following contour plots representing two dimensional cumulative distributon functions (CDF) A CDF in 2 or more dimensions is not unique (Lopes et al. The two-dimensional Kolmogorov-Smirnov test) that's why there are 4 alternative plots (and probably some more). So far I have no R/Matlab code to show. I don't think it's difficult but most likely very time consuming. There might out there something I could use. EDIT Type 1 & 4 are more or less covered, but any help

问题 I have a set of contour points drawn on an image which is stored as a 2D numpy array. The contours are represented by 2 numpy arrays of float values for x and y coordinates each. These coordinates are not integers and do not align perfectly with pixels but they do tell you the location of the contour points with respect to pixels. I would like to be able to select the pixels that fall within the contours. I wrote some code that is pretty much the same as answer given here: Access pixel values

问题 Contour lines generated by gnuplot can look pretty strange (unexpected) if you do not set both samples and isosamples to appropriate values. I struggled for hours to find out how exactly set samples and set isosamples affect the appearance of contour lines, however, all I observed is that setting both to sufficiently large values will generate good-looking contours. Still, I want to understand how exactly this works. What is the difference between set samples and set isosamples in the context

问题 I am trying to produce a filled contour plot in matplotlib using contourf. Data are missing in a jagged pattern near the bottom of the plot. The contour plot turns out blank not only where the original data are masked, but also in pockets where the contour algorithm cannot interpolate cleanly because there is an insufficient neighborhood of good data. I know how extend the dataset to produce plausible contours in these pockets. However, if I plot the extended data I get contour fill

问题 As a follow-up to my previous question, I was wondering what is the proper way of creating multiple polar contourf subplots and add a single color bar to them. I tried this way: import numpy as np import matplotlib.pyplot as plt #-- Generate Data ----------------------------------------- # Using linspace so that the endpoint of 360 is included... azimuths = np.radians(np.linspace(0, 360, 100)) zeniths = np.arange(0, 70, 10) r, theta = np.meshgrid(zeniths, azimuths) values1 = np.random.random(

问题 I am trying to sort the bounding boxes with y axis and then x axis but the results I find from tl().x and tl().y are bit confusing and after lot of work I couldn't find anything in documentation. Here are some results please take a look. I want them to be in order from 1 to 30 CODE: m = Utils.loadResource(MainActivity.this, R.drawable.sheet1, Highgui.CV_LOAD_IMAGE_COLOR); //Mat original = Utils.loadResource(MainActivity.this, R.drawable.sheet1, Highgui.CV_LOAD_IMAGE_COLOR); Bitmap bm = Bitmap

问题 I try to use contour to plot this function 3y + y^3 - x^3 = 5 I try contour(3*y+y^3-x^3-5) but it doesn't work. How can I use contour to plot this function? 回答1: Are x and y properly defined as 2x2 matrices? If so then the "power" operator needs to be done on a component-wise basis (.^3 instead of ^3). This works: [x,y] = meshgrid(-2:.2:2,-2:.2:2); contour(3*y+y.^3-x.^3-5) 回答2: Maybe you can try fcontour , which plots the contour lines of the function z = f(x,y) for constant levels of z over

问题 I try to use contour to plot this function 3y + y^3 - x^3 = 5 I try contour(3*y+y^3-x^3-5) but it doesn't work. How can I use contour to plot this function? 回答1: Are x and y properly defined as 2x2 matrices? If so then the "power" operator needs to be done on a component-wise basis (.^3 instead of ^3). This works: [x,y] = meshgrid(-2:.2:2,-2:.2:2); contour(3*y+y.^3-x.^3-5) 回答2: Maybe you can try fcontour , which plots the contour lines of the function z = f(x,y) for constant levels of z over

问题 this is the result that I have from my code : enter image description here I've made this mask on my face using contour , as I show bellow in the code . the final result of the project is to delete the face and show the background that I am not defined it yet . my question is : is there any way to make a mask with this counter so i could use something like this cv2.imshow('My Image',cmb(foreground,background,mask)) to just show the foreground under the mask on the background ? ( the problem