bilinear-interpolation

Is this possible to create 2-axis 4 color gradient in css (bilinear gradient)?

由 百般思念 提交于 2020-03-13 21:45:06
问题 My exmaple in JavaScript and <canvas> . https://codepen.io/KonradLinkowski/pen/QWbjaPr const canvas = document.querySelector('#box') const ctx = canvas.getContext('2d') const interpolate = (value, start, end) => (end - start) * value + start const interpolateRGB = (value, start, end) => { return { r: interpolate(value, start.r, end.r), g: interpolate(value, start.g, end.g), b: interpolate(value, start.b, end.b) } } const calcColor = (point, topLeft, topRight, bottomLeft, bottomRight) => {

Is this possible to create 2-axis 4 color gradient in css (bilinear gradient)?

由 女生的网名这么多〃 提交于 2020-03-13 21:42:59
问题 My exmaple in JavaScript and <canvas> . https://codepen.io/KonradLinkowski/pen/QWbjaPr const canvas = document.querySelector('#box') const ctx = canvas.getContext('2d') const interpolate = (value, start, end) => (end - start) * value + start const interpolateRGB = (value, start, end) => { return { r: interpolate(value, start.r, end.r), g: interpolate(value, start.g, end.g), b: interpolate(value, start.b, end.b) } } const calcColor = (point, topLeft, topRight, bottomLeft, bottomRight) => {

Is this possible to create 2-axis 4 color gradient in css (bilinear gradient)?

由 你说的曾经没有我的故事 提交于 2020-03-13 21:41:31
问题 My exmaple in JavaScript and <canvas> . https://codepen.io/KonradLinkowski/pen/QWbjaPr const canvas = document.querySelector('#box') const ctx = canvas.getContext('2d') const interpolate = (value, start, end) => (end - start) * value + start const interpolateRGB = (value, start, end) => { return { r: interpolate(value, start.r, end.r), g: interpolate(value, start.g, end.g), b: interpolate(value, start.b, end.b) } } const calcColor = (point, topLeft, topRight, bottomLeft, bottomRight) => {

Deconvolution layer FCN initialization - loss drops too fast

由 自闭症网瘾萝莉.ら 提交于 2020-01-07 03:56:26
问题 I'm training a small (10M weights on 12K images) FCN (see e.g. Long et al, 2015). The architecture is the following (it starts with FCN8s fc7 layer): fc7->relu1->dropout->conv2048->conv1024->conv512->deconv1->deconv2->deconv3->deconv4->deconv5->crop->softmax_with_loss When I initialized all deconv layers with Gaussian weights, I got some (though not always) reasonable result. Then I decided to do it the right way, and used the scripts provided by Shelhamer (e.g. https://github.com/zeakey

Draw heat map (or similar) of 2D population distribution

由 ╄→гoц情女王★ 提交于 2019-12-23 02:34:41
问题 I am wondering how I can draw an image of the population proportion (pop.prop) at these locations (x and y) so that I can see the population distribution clearly? The data is shown below: pts.pr = pts.cent[pts.cent$PIDS==3, ] pop = rnorm(nrow(pts.pr), 0, 1) pop.prop = exp(pop)/sum(exp(pop)) pts.pr.data = as.data.frame(cbind(pts.pr@coords, cbind(pop.prop))) x y pop.prop 3633 106.3077 38.90931 0.070022855 3634 106.8077 38.90931 0.012173106 3756 106.3077 38.40931 0.039693085 3878 105.8077 37

How to interpolate between n colors by a fractional contribution for each color?

由 空扰寡人 提交于 2019-12-11 05:04:52
问题 How can I interpolate between n colors. Simple case of 2 colors Consider a more simple case first, where we want to find the mid-point of 2 colors. Color1 is RGB ( 255, 0, 0 ) // Red Color2 is RGB ( 128, 128, 128 ) // Grey The solution being the mid-point between each R, G, B considered separately. RGB ( 128 + 64, 128 / 2, 128 / 2 ) = RGB ( 192, 64, 64 ) Since the mid-point is exactly in between the two and there is a linear relationship to the interpolation, then its possiable to interpolate

Why is my bilinear interpolation vastly different from the in-built matlab function?

由 我只是一个虾纸丫 提交于 2019-12-10 18:13:26
问题 I've been working on bilinear interpolation based on wiki example in matlab. I followed the example to the T, but when comparing the outputs from my function and the in-built matlab function, the results are vastly different and I can't figure out why or how that happens. Using inbuilt matlab function: Result of my function below: function T = bilinear(X,h,w) %pre-allocating the output size T = uint8(zeros(h,w)); %padding the original image with 0 so i don't go out of bounds X = padarray(X,[2

Draw heat map (or similar) of 2D population distribution

由 老子叫甜甜 提交于 2019-12-06 16:44:33
I am wondering how I can draw an image of the population proportion (pop.prop) at these locations (x and y) so that I can see the population distribution clearly? The data is shown below: pts.pr = pts.cent[pts.cent$PIDS==3, ] pop = rnorm(nrow(pts.pr), 0, 1) pop.prop = exp(pop)/sum(exp(pop)) pts.pr.data = as.data.frame(cbind(pts.pr@coords, cbind(pop.prop))) x y pop.prop 3633 106.3077 38.90931 0.070022855 3634 106.8077 38.90931 0.012173106 3756 106.3077 38.40931 0.039693085 3878 105.8077 37.90931 0.034190747 3879 106.3077 37.90931 0.057981214 3880 106.8077 37.90931 0.089484103 3881 107.3077 37

tf.image.resize_bilinear vs cv2.resize

由 江枫思渺然 提交于 2019-12-03 11:59:00
问题 The results from tf.image.resize_bilinear are quite different from cv2.resize . I found this a little bothersome. Set align_corners=True is not always reasonable because the four corners are not always supposed to be fixed in the corner. So is there anyway to make it a little more "symmetry"? Code to reproduce: import tensorflow as tf import numpy as np import cv2 np.set_printoptions(precision=3) resize_shape = (10, 10) a = np.ones((1, 2, 2, 1), dtype=np.float32) a[0, 0, 0, 0] = 5.0 a[0, 1, 1

Inverting a real-valued index grid

由 ╄→尐↘猪︶ㄣ 提交于 2019-11-30 03:52:17
OpenCV's remap() uses a real-valued index grid to sample a grid of values from an image using bilinear interpolation, and returns the grid of samples as a new image. To be precise, let: A = an image X = a grid of real-valued X coords into the image. Y = a grid of real-valued Y coords into the image. B = remap(A, X, Y) Then for all pixel coordinates i, j, B[i, j] = A(X[i, j], Y[i, j]) Where the round-braces notation A(x, y) denotes using bilinear interpolation to solve for the pixel value of image A using float-valued coords x and y . My question is: given an index grid X , Y , how can I
订阅 bilinear-interpolation