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

Hi, it would be nice that filepond could show long validation message at mobile page width.

For example in the CodePen below, if uploaded file is above 1MB - validation message doesnt fit to pond widht and filename is pushed out of pond too.
https://codepen.io/vova-tkachenko/pen/QZBobm

Probably such long messages should have 'max-width' set to width of pond fall down to the next line.

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

Just in case anyone else had issues getting Darkflow running on Windows 10, here's the steps that I was able to use to get it working. Hopefully it will help save time for someone else!

1. Install Python 3.5
2. [Optional] Create virtualenv
3. Install Tensorflow: pip3 install --upgrade tensorflow
4. Install cython: pip3 install cython
5. Install opencv: pip3 install opencv-python
6. Bu

1. Update docstrings for deprecated transforms.
   Related files: albumentations/augmentations/transforms.py
2. Mark deprecated functions in README using [Depricated] suffix.
   Related files: tools/make_transforms_docs.py

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

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?

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

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