System information (version)

• OpenCV => 4.2.0
• Operating System / Platform => Ubuntu 18.04
• Compiler => g++ 7.4

Detailed description

It appears that the pad value in darknet configuration files indicates the padding mode and not the padding value itself. I think pad being one implies same padding and pad being zero implies manual padding (which is specified in the `padd

I've spent a while investigating and assessing various options to replace readthedocs, including but not limited to docusaurus, docsify, docpress, gitbook and vuepress.

I really like the docsify approach and then discovered the similar but-with-more-bells-attached docute and it appears to support pretty much everything we need (and more):

• retrieves *vers

Hello,

From the README:

smartcrop.crop(image, {width: 100, height: 100}).then(function(result){
  console.log(result);
});

Output:

{topCrop: {x: 300, y: 200, height: 200, width: 200}}

In terms of documentation and the above example, I think it would be nice to have a little explanation as to why the output's width/height values (200x200) are larger

What did you do?

I want to import PIL modules with the following statement

#!/usr/bin/python3
import tkinter
from PIL import Image, ImageTk

But ImageTk was NOT imported. I got it by executing:
sudo aptitude install python3-pil.imagetk
This fact should be added to the documentation which would be of great help for beginners.
All modules which are not installed by defau

Is your feature request related to a problem? Please describe.
Right now if guides option enabled, there are 2 horizontal and 2 vertical dashed lines appear when a crop box is turned on. For some cases, when image is big enough and a rotation should be done with a good precision, this is not enough.

Describe the solution you'd like
It would be great to allow configuration of guide lin

Not sure if an issue is the right place for this, but a document describing the processing of using pre trained weights (from say, ImageNet) would be greatly appreciated.

There is a set of Pixel Level transforms that is used in the work Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

The authors also share the code => we can absorb some transforms that they have into the library.

https://github.com/hendrycks/robustness/blob/master/ImageNet-C/create_c/make_imagenet_c.py

• ShotNoise
• Defocus
• GlassBlur

I wonder if the VIPS team might be interested in adding the following algorithm for converting colour to greyscale:
http://resources.mpi-inf.mpg.de/ApparentGreyscale/
I didn't find mention of it in the VIPS documentation, including the output of the vips list classes commandline (as of vips-7.42.3).

Please add an example for EigenvalueDecomposition Class.

TODO (optional): Given a dense 3X3 matrix how can we use this method to get the eigen vectors from this matrix.

Help Topic: http://accord-framework.net/docs/html/T_Accord_Math_Decompositions_EigenvalueDecomposition.htm

This is a simple filter which can be used to filter out noise.

Here is one paper on fast Median and Bilateral filtering:
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.93.1608&rep=rep1&type=pdf

Per https://llvm.org/docs/Proposals/GitHubMove.html, trunk LLVM is now using GitHub rather than Subversion; we need to update the buildbots to use this source, and update the README to reference the new path(s).

Description

It appears that label2rgb does not provide the option to make the background label transparent when the labels are drawn on a greyvalue image.

Way to reproduce

The coin segmentation example provides an exmaple. The whole image outside the coins is covered in a reddish tint (which happens to be the color for the backgroud label). When drawing over a greyvalue image it is

Description

I would like to use OpenVINO as part of my AWS Lambda function in order to load and execute inference with models (packaged in .xml and .bin files) trained by OpenVINO framework.

Problem is, OpenVINO R1 that I am using takes ~900MB. My question is, what parts of OpenVINO do I need in order to load mode

Imaginary is dumping a bloat of logs on Kubernetes reporting successful calls on /health.

Can we disable it?

Shouldn't it be disabled by default?

Gamma correction is among the things most often done wrong by graphics programming novices. It's almost as bad as missing scene-related color transforms and linear volume sliders in the average video game. The code example in the readme should definitely mention to adjust.Gamma(img, 1/2.2) before doing any color mixing and adjust.Gamma(img, 2.2) before saving back to file (for as long as _bild

Expected behavior

Builder exists and works for argument : keepAspectRatio
(feature is precious because round on reduction will have a few pixel difference with requested size)
Example : expecting 500x1000px and got 499x1000px

Actual behavior

keepAspectRatio arg is not mentioned in examples

##Suggestion of example
Thumbnails.of(dir_in.listFiles()).size(width, height).keepAspectRati

In README.md, it says:
SETX PATH C:/Python27/;C:/Python27/Scripts/;C:/OpenCV2.3/opencv/build/x86/vc10/bin/;%PATH%
SETX PYTHONPATH C:/OpenCV2.3/opencv/build/python/2.7/;%PYTHONPATH%

however, the correct one should be:
SETX PYTHONPATH C:\OpenCV2.3\opencvbuild\python\2.7;%PYTHONPATH%
SETX PATH C:\Python27;C:\Python27\Scripts;C:\OpenCV2.3\opencv\build\x86\vc10\bin;%PATH%

and also, it's only