interpolation

jquery match() variable interpolation - complex regexes

谁说我不能喝 提交于 2019-12-05 19:22:06
I've already looked at this , which was helpful to a point. Here's the problem. I have a list of users propagated into an element via user click; something like this: <div id="box"> joe-user page-joe-user someone-else page-someone-else </div> On click, I want to make sure that the user has not already been clicked into the div. So, I'm doing something like: if ( ! $('#box').html().match(rcpt) ) { update_div(); } else { alert(rcpt+' already exists.'); } However, with existing lack of interpolation that javascript has for regular expressions, is causing my alert to trigger in the use-case where

Python Numpy or Pandas Linear Interpolation For Datetime related Values

浪尽此生 提交于 2019-12-05 18:30:49
I have data that looks like the following but I also have control of how it is formatted. Basically, I want to use Python with Numpy or Pandas to interpolate the dataset to achieve second by second interpolated data so that it is a much higher resolution. So I want to linearly interpolate and produce new values between each of the real values I currently have while keeping the original values as well. How can I accomplish this with Pandas or Numpy? As an example, I have this type of data: TIME ECI_X ECI_Y ECI_Z 2013-12-07 00:00:00, -7346664.77912, -13323447.6311, 21734849.5263,@ 2013-12-07 00

Acceleration in Unity

社会主义新天地 提交于 2019-12-05 17:48:28
问题 I am trying to emulate acceleration and deceleration in Unity. I have written to code to generate a track in Unity and place an object at a specific location on the track based on time. The result looks a little like this. The issue I currently have is that each section of the spline is a different length and the cube moves across each section at a different, but uniform, speed. This causes there to be sudden jumps in the change of the speed of the cube when transitioning between sections. In

Which kind of interpolation best for resizing image?

强颜欢笑 提交于 2019-12-05 16:42:04
问题 I have a numpy array that I wish to resize using opencv. Its values range from 0 to 255. If I opt to use cv2.INTER_CUBIC, I may get values outside this range. This is undesirable, since the resized array is supposed to still represent an image. One solution is to clip the results to [0, 255]. Another is to use a different interpolation method. It is my understanding that using INTER_AREA is valid for down-sampling an image, but works similar to nearest neighbor for upsampling it, rendering it

d3.js 3D array interpolation

隐身守侯 提交于 2019-12-05 12:05:02
Code is here: http://jsfiddle.net/S48QX/ . I want to draw a image based on a 3D data set, for example: var data = [ {x:1.428, y:0.500, energy:0.458}, {x:1.428, y:1.191, energy:0.616}, {x:1.428, y:1.882, energy:0.795}, {x:1.428, y:2.573, energy:0.642}, {x:1.428, y:3.264, energy:0.536}, {x:1.428, y:3.955, energy:0.498}, {x:1.428, y:4.646, energy:0.494}, {x:1.428, y:5.337, energy:0.517}, ... } It's like scattered plot, but I need every pixel to be set, not just a bunch of color dots on the image. So, my question is how can I interpolate scattered dots with d3.js. The generated image here is the

interpolation of grouped data using data.table

无人久伴 提交于 2019-12-05 11:56:52
This is a continuation of a question that I had originally posted at http://r.789695.n4.nabble.com/subset-between-data-table-list-and-single-data-table-object-tp4673202.html . Matthew had suggested that I post my question here so I am doing that now. This is my input below: library(data.table) library(pracma) # for the interp1 function tempbigdata1 <- data.table(c(14.80, 14.81, 14.82), c(7900, 7920, 7930), c("02437100", "02437100", "02437100")) tempbigdata2 <- data.table(c(9.98, 9.99, 10.00), c(816, 819, 821), c("02446500", "02446500", "02446500")) tempbigdata3 <- data.table(c(75.65, 75.66, 75

Scipy map_coordinates bilinear interpolation compared to interp and IDL interpolate

梦想的初衷 提交于 2019-12-05 11:34:58
I'm in the process of rewriting a coworkers IDL code into python and am coming up with some differences that I'm confused about. According to other SO questions and mailing list threads I've found if you use scipy.ndimage.interpolation.map_coordinates and specify order=1 it is supposed to do bilinear interpolation. When comparing results between the IDL code (run in GDL) and python (map_coordinates) I got different results. Then I tried using mpl_toolkits.basemap.interp and I got the same result as the IDL code. Below is a simple example that shows what is wrong. Could someone help me figure

OpenCV remap interpolation error?

安稳与你 提交于 2019-12-05 10:07:45
I'm using opencv remap function to map an image to another coordinate system. However, my initial tests indicate that there are some issues with the interpolation. Here, I give a simple example of a constant 0.1 pixel shift for a image that is 0 everywhere but at position [50,50]. import cv2 import numpy as np prvs = np.zeros((100,80), dtype=np.float32) prvs[50:51, 50:51] = 1. grid_x, grid_y = np.meshgrid(np.arange(prvs.shape[1]), np.arange(prvs.shape[0])) grid_y = grid_y.astype(np.float32) grid_x = grid_x.astype(np.float32) + 0.1 prvs_remapped = cv2.remap(prvs, grid_x, grid_y, interpolation

Android Is it possible to use concurrent interpolators?

这一生的挚爱 提交于 2019-12-05 10:05:13
I have a set of two animations, both animations run together using the overshoot interpolator <?xml version="1.0" encoding="utf-8"?> <set xmlns:android="http://schemas.android.com/apk/res/android" android:interpolator="@android:anim/overshoot_interpolator" > <translate android:duration="6000" android:fromXDelta="100%" android:toXDelta="0%" /> <scale android:duration="6000" android:fromXScale="1.0" android:toXScale="0.6" android:pivotX="0" android:fromYScale="1.0" android:toYScale="1.0" android:repeatCount="1" android:repeatMode="reverse" /> </set> I want the translate animation to overshoot,

How do I choose an image interpolation method? (Emgu/OpenCV)

≯℡__Kan透↙ 提交于 2019-12-05 09:40:41
问题 The image resizing function provided by Emgu (a .net wrapper for OpenCV) can use any one of four interpolation methods: CV_INTER_NN (default) CV_INTER_LINEAR CV_INTER_CUBIC CV_INTER_AREA I roughly understand linear interpolation, but can only guess what cubic or area do. I suspect NN stands for nearest neighbour, but I could be wrong. The reason I'm resizing an image is to reduce the amount of pixels (they will be iterated over at some point) whilst keeping them representative. I mention this