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

What are you trying to achieve?

AWS released Lambda Layers to facilitate sharing libraries and binaries across lambda functions.

With Lambda Layers, adopting Sharp.js into any AWS Lambda Node.js project will be a breeze. Plus, there will be less setup, confusion, and errors surrounding compiling for the lambda execution environment.

I appreciate the existing installation instructio

The luminance calculation in smartcrop.js is currently:

function cie(r, g, b) {
    return 0.5126 * b + 0.7152 * g + 0.0722 * r;
}

But going back to the HDTV Rec. 709 (either https://en.wikipedia.org/wiki/Rec._709 or the original https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.709-6-201506-I!!PDF-E.pdf ), these coefficients should be:

0.2126 * r + 0.7152 * g + 0.072

The position of the "remove" tool is inconsistent between "initial" and newly-uploaded files. See this partial screenshot:

The left image is newly-uploaded, with the "remove" tool on the right, while the right image is an "initial" file with the "remove" tool on the left.

I suggest t

What did you do?

Add the method argument (as documented in the handbook) with 0 as value to the Image.save() function with webp as format.

What did you expect to happen?

Pillow/WebP encoding the image with that method.

What actually happened?

The image always got encoded with the 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

Presently, when the script is run, the images are directly downloaded. It would be more convenient if the users could get a preview of the images before they download all of them. I would like to implement this feature. The users can be provided with a preview of all the images in a webpage. Users can confirm the download after previewing them.

I'm trying to flow this tuto https://modelzoo.co/model/yolo-tensorflow
i did try 3 ways

flow --imgdir sample_img/ --model cfg/yolov2-tiny.cfg --load bin/yolov2-tiny.weights --json

flow --imgdir sample_img/ --model cfg/yolov2-tiny.cfg --load bin/yolov2-tiny.weights --labels labels.txt --threshold 0.6 --json

python flow --imgdir sample_img/ --model cfg/yolov2-tiny.cfg --load

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

Could not find a version that satisfies the requirement Keras==2.1.2 (from -r requirements.txt (line 1)) (from versions: )
No matching distribution found for Keras==2.1.2 (from -r requirements.txt (line 1))

Traceback (most recent call last):
File "tiler.py", line 223, in
main()
File "tiler.py", line 206, in main
tiles_paths = conf.TILES_FOLDER.split(' ')
AttributeError: 'NoneType' object has no attribute 'split'

resize does shrink for the int part, then reduce for any fractional residual.

The shrink stage rounds image dimensions to the nearest pixel, so it can trim up to 0.5 px from the right and bottom edge. This means that the second reduce phase can have some missing information compared to operating directly on the unshrunk image.

As an improvement, resize could request round-up from

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

Describe the bug
A clear and concise description of what the bug is.

To Reproduce
Steps to reproduce the behavior:
https://drive.google.com/file/d/1xFZV2b8zgefBuaYw64lLlW4hy9UHp7NG/view?usp=sharing

Expected behavior
Should be able to dismiss the animated/gif preview

Screenshots
https://drive.google.com/file/d/1xFZV2b8zgefBuaYw64lLlW4hy9UHp7NG/view?usp=sharing

**i

Hi,
I went through the documentation and couldn't find anything about using imgproxy with a SPA framework like vue. Are there any examples or guides on this?

If I understand correctly imgproxy is ment to be used serverside because of the encryption aspect. Would love to know about any best practices on how to implement it in a SPA scenario.

Thank you

@ildoonet. Can anybody point out the file which contains the complete description of the layers used in mobilenet model and the file which stores the weights of the trained model.

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

Latest h2non/imaginary docker reports the following warning for some (if not all) pngs:

static-imaginary | (bimg:1): VIPS-WARNING **: Interlace handling should be turned on when using png_read_image

Does bild support for draw now? Strongly recommend add drawing module such as draw a simple rectangle on image.

Expected behavior

Please describe what you are expecting the library to perform.
I want to generate the thumbnail of one PNG file

Actual behavior

Please describe the actual behavior you are experiencing, including stack
trace and other information which would help diagnose the issue.
The source png file is this:
![3](https://user-images.githubusercontent.com/34224911/47475039-

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