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kandi X-RAY | AllPixel Summary
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QUESTION
I am new to CUDA development and wanted to write a simple benchmark to test some image processing feasibility. I have 32 images that are each 720x540, one byte per pixel greyscale.
I am running benchmarks for 10 seconds, and counting how many times they are able to process. There are three benchmarks I am running:
- The first is just transferring the images into the GPU global memory, via cudaMemcpy
- The second is transferring and processing the images.
- The third is running the equivalent test on a CPU.
For a starting, simple test, the image processing is just counting the number of pixels above a certain greyscale value. I'm finding that accessing global memory on the GPU is very slow. I have my benchmark structured such that it creates one block per image, and one thread per row in each image. Each thread counts its pixels into a shared memory array, after which the first thread sums them up (See below).
The issue I am having is that this all runs very slowly - about 50fps. Much slower than a CPU version - about 230fps. If I comment out the pixel value comparison, resulting in just a count of all pixels, I get 6x the performance. I tried using texture memory but didn't see a performance gain. I am running a Quadro K2000. Also: the image copy only benchmark is able to copy at around 330fps, so that doesn't appear to be the issue.
Any help / pointers would be appreciated. Thank you.
...ANSWER
Answered 2020-May-20 at 21:50Two changes to your kernel design can result in a significant speedup:
Perform the operations column-wise instead of row-wise. The general background for why this matters/helps is described here.
Replace your final operation with a canonical parallel reduction.
According to my testing, those 2 changes result in ~22x speedup in kernel performance:
QUESTION
I am trying to make my cloud draggable. It works but as can be seen in the example that i have, the cloud always clippes from the center to the mouse possition.
Here is my current set-up.
...ANSWER
Answered 2018-Nov-19 at 17:33You need to remember the click location within the cloud's local coordinate system:
QUESTION
I'm currently working with Bitmap and trying to make some operation on pixels. I wanted to use Color.argb() and Color.valueOf() but those doesn't work for API Level < 26.
Is there any library or something similar that could work with any API Level > 21 ?
Here is the part of the function I use :
...ANSWER
Answered 2018-Aug-26 at 14:56Use the version of argb() that takes int instead of float. That has been around since API Level 1.
QUESTION
My code below checks surrounding pixels to my object's pixel in python.
...ANSWER
Answered 2018-May-20 at 20:17What you're doing inherently requires looping—but if you can move that looping into numpy, it'll often get 5-20x faster.
In your case, what you're trying to do is to compare each pixel to its neighbors. How can you do that as an array-wide operation? Simple: compare the array to the same array shifted by 1.
Here's a simpler example:
QUESTION
function append(what) {
$("#drawer").append(what);
}
function outerHtml(o) {
return $("").append($(o).clone()).html();
}
var allPixel = [];
$(".pix").each(function() {
allPixel.push(outerHtml($(this)));
});
$("#drawer").empty();
var index;
for (index = 0; index < allPixel.length; index++) {
pixel = allPixel[index];
setTimeout(append(pixel), 100);
}
ANSWER
Answered 2017-Nov-30 at 18:05You are invoking the method invoking immediately and passing its return value i.e. undefined to setTimeout.
You can set additional parameters to be passed to append function when timer expires to setTimeout method.
Use
QUESTION
My doubt is bitmap.getPixels(allPixels, 0, bitmap.getWidth(), 0, 0, bitmap.getWidth(), bitmap.getHeight());
is processing 1D array. But a bitmap is always 2D picture representation. But why there is single dimentional array?
And how the packing of bytes in 1D array?
I know this is anoob question, but I can't understand it.
Thanks
...ANSWER
Answered 2017-Nov-21 at 11:49But a bitmap is always 2D picture representation. But why there is single dimentional array?
Bitmap stored in memory as 1-dimensional array of bytes (not only bitmap, but most binary data). All pixels of the bitmap are placed in memory row by row and each row with width of bitmap. I think, method Bitmap.getPixels() do nothing but copy bytes from memory into int[] array. You are free to create your own method that will convert 1D array to 2D array, but in most cases this is not required (see below).
And how the packing of bytes in 1D array?
Method Bitmap.getPixels() accepts and fills int[] array with length of bitmap width multiply by bitmap height. The part of result array corresponding to the rectangle, specified in parameters of the method, will be filled with colors of pixels, and rest of array will filled with zeros.
It's very easy to get the color of the desired pixel from this array. Index of pixel is x + y * bitmapWidth:
QUESTION
clear all
clc
img = imread('TestImage.jpg');
frame_size = size(img);
allpixels = reshape(img, frame_size(1)*frame_size(2), frame_size(3))
[row,col] = size(allpixels);
totalPixels = 0;
count = 0;
white = 0;
black = 0;
red = 0;
green = 0;
blue = 0;
grey = 0;
purplepink = 0;
yelloworange = 0;
for row = 1:row
count = 0;
for col = 1:col
if count == 0
R = allpixels(row,col);
count = count + 1;
elseif count == 1
G = allpixels(row,col);
count = count + 1;
elseif count == 2
B = allpixels(row,col);
count = count + 1;
end
totalPixels = totalPixels + 1;
end
if R > 230 && G > 230 && B > 230
white = white + 1;
elseif R < 70 && G < 70 && B < 70
black = black + 1;
elseif abs(R - G) <= 5 && abs(G - B) <= 5 && abs(R - B) <= 5
grey = grey + 1;
elseif R > B && R > G
red = red + 1;
elseif G > B && G >= R
green = green + 1;
elseif B >= R && B >= G
blue = blue + 1;
end
end
totalPixels = totalPixels/3;
totalPixels
white
black
grey
red
green
blue
white + black + grey + red + green + blue
PercentOfWhite = (white/totalPixels)* 100
A=PercentOfWhite;
PercentOfBlack = (black/totalPixels) * 100
B=PercentOfBlack;
PercentOfGrey = (grey/totalPixels)* 100
C=PercentOfGrey;
PercentOfRed = (red/totalPixels)* 100
D=PercentOfRed;
PercentOfGreen = (green/totalPixels) * 100
E=PercentOfGreen;
PercentOfBlue = (blue/totalPixels) * 100
F=PercentOfBlue;
[x,y]=meshgrid(1:15,1:15);
tri = delaunay(x,y);
z= peaks(15);
trisurf(tri,x,y,z)
ANSWER
Answered 2017-Nov-13 at 06:54I tested your code and it looks like your last 4 lines of your script are not using any variables from above. That means whatever happens before the last 4 code lines doesn't matter for the 3D graph because it is separated.
If you replace your last 4 lines with the following code a diagram will appear and show bars representing the color percentages:
QUESTION
I have 50 images, stored as arrays in a 1x50 cell index called AllImages. Basically I want to make a new index with arrays that contain elements in the same position of the 50 arrays.
I want to see how each pixel in the same spot of the 50 images changes in the 50 images.
Theoretically, I would get an index of arrays with 50 elements each, because I want the first element of each of the 50 arrays in its own array, the second element of each of the 50 arrays in its own array, so on and so forth.
So far, here is my code:
...ANSWER
Answered 2017-Jun-29 at 16:15are the images of the same size?
in that case first change them to a matrix using cell2mat
QUESTION
I have 96 x 96 images, I want to convert each image to pixels and save it to a text file. This is an example of code :
...ANSWER
Answered 2017-Jun-21 at 15:50diary is for activity log of your MATLAB session. To store the specific matrix you can use the following code:
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