linear-interpolation

问题 If linear interpolation happens during the rasterization stage in the OpenGL pipeline, and the vertices have already been transformed to screen-space, where does the depth information used for perspectively correct interpolation come from? Can anybody give a detailed description of how OpenGL goes from screen-space primitives to fragments with correctly interpolated values? 回答1: The output of a vertex shader is a four component vector, vec4 gl_Position . From Section 13.6 Coordinate

问题 I have this data Date Data 8/25/2017 980 8/24/2017 64 8/23/2017 593 8/22/2017 595 8/21/2017 8/20/2017 8/19/2017 794 8/18/2017 437 8/17/2017 8/16/2017 8/15/2017 8/14/2017 629 What if i wanted (794-595)/3 in cell 21st August and 2*(794-595)/3 in cell 22nd August and similarly (629-437)/4 in 17th August, 2*(629-437)/4 in 16th August etc... And there are only 2 missing sequences of data in the entire data set. But i want to be able to do all this without knowing the number of missing sequences in

问题 I am looking for a simple approach to finding the interpolated intersection between two Numpy arrays. I know that this is simply achieved if we have two function handles, rather than two arrays, as shown in this link using Scipy or using Sympy. I want to do the same, but given two arrays, specifically between the linear spline that results from connecting array entries by lines. For example, suppose we have two arrays, y_1 and y_2 , both thyought of as being evaluated at xSupport . import

问题 I'm trying to interpolate a triangle with the help of vertex coordinates. a |\ | \ | \ | \ b|_ _ _ \c I'm interpolating the vertices in this order (b,a),(a,c)and (c,b). Here the a,b and c are the 3 dimensional coordinates with a color value. a = (x1,y1,z1,c1); b = (x2,y2,z2,c2); c = (x3,y3,z3,c3); Structure used to compute the calculation: struct pointsInterpolateStruct{ QList<double> x,y,z; QList<double> r, g, b, clr; void clear() { x.clear(); y.clear(); z.clear(); r.clear(); g.clear(); b

问题 I've got a file with accumulated rainfall over a month in 5 stations. There are lat, lon and rain data in csv file. My file is just like that: Out[18]: lat lon rain 0 -48.379000 -1.067000 213.0 1 -48.435548 -1.401513 157.2 2 -48.482217 -1.449707 147.0 3 -48.457779 -1.249272 182.6 4 -48.479847 -1.308735 49.4 I'm trying to do: import numpy as np import pandas as pd from matplotlib.mlab import griddata from mpl_toolkits.basemap import Basemap import matplotlib.pyplot as plt from matplotlib

问题 I have a pandas dataframe like this: index x y 0.010 1 Nan 0.011 Nan 3 0.014 NaN 4 0.019 9 Nan 0.020 10 7 This matrix comes from a concatenation of 2 matrices I would like to resample the index at equally spaced intervals, say 0.010, 0.012,0.014..... 0.020, filling the NaN with linear interpolation. Similar to what resample does if index were a time series... Can anyone send me hints? I am having an headache with this Thanks you 回答1: Solved! df1 = A.reindex(A.index.union(np.linspace(0.0,0.1

问题 I have three 3D points like p1(x1,y1,z1) , p2(x2,y2,z2) , p3(x3,y3,z3) . I have another point, but I know only x , y value of that point like p4(x4,y4,Z) , in which Z is the value I like to compute. I am sure p4(x4,y4) point is inside a triangle formed by p1(x1,y1) , p2(x2,y2) , p3(x3,y3) by checking with delaunay triangulation approach. How can I compute Z value of point p4 ? I like to implement it in C programming. Actually I am trying to implement griddata in MATLAB. Thanks 回答1: You can

问题 I'm getting a list of 5 floats which I would like to use as values to send pwm to an LED. I want to ramp smoothly in a variable amount of milliseconds between the elements in the array. So if this is my array... list = [1.222, 3.111, 0.456, 9.222, 22.333] I want to ramp from 1.222 to 3.111 over say 3000 milliseconds, then from 3.111 to 0.456 over the same amount of time, and when it gets to the end of the list I want the 5th element of the list to ramp to the 1st element of the list and

问题 I'm using OpenGL ES 2.0 on an iPad 2 / 3. I'd like to use GL_FLOAT when creating textures: glTexImage2D(GL_TEXTURE_2D, 0, GL_RGBA, texWidth, texHeight, 0, GL_RGBA, GL_FLOAT, rawData); but the problem is that GL_LINEAR is not supported as a GL_TEXTURE_MAG_FILTER when GL_FLOAT is used if you don't have GL_OES_texture_float_linear showing up in your list of supported extensions. (None of the iPads do.) But I do have GL_OES_texture_half_float_linear in my list of extensions. So using a half-float

问题 I have a data set with body temperatures taken every minute for 8 hours. I removed aberrant data and now have NA values, sometimes just one alone, and sometimes more then 10 in a row. I would like to replace the missing data using linear interpolation. I tried different things but I could'nt make 'approx' to work (NA values stayed NA...) or even find a way to specify to R to use the value before (same column, minus 1 row) or the value after (same column, + 1 row). in this examples, where I