Sometimes people read/link to old versions of the documentation and miss new features and changes.

For example, from a Google search for a module, I ended up at http://pillow.readthedocs.org/en/3.1.x/reference/ImageChops.html

RtD has a setting to help with this:

Version warning

This is a banner that appears on the top of every page of your docs that aren’t stable or latest. Th

Add new aliases for current bbox formats:

• xyxy for pascal_voc format.
• xyhw for coco format

Maybe we can add this aliases to:

• xyxy_norm for albumentations format
• xyhw_norm
• xyhw_center
• xyhw_center_norm for yolo format

This feature is implemented in many graphics hardwares at least of most gaming consoles. Adding this feature would enable ImageSharp to natively allow for these specifications of graphics hardware to be supported out of the box.

As per OpenCV naming and implementation this feature is most likely known as "Remapping" or "Point remapping". So as the naming goes, it should incorporate either one.

It tells you to get version 3.0 of the SDK, which doesn't have libwrapper.so, so you get an unhelpful failure to find halide_hexagon_remote_load_library (because init_hexagon_runtime doesn't check if host_lib is non-null). This is hard to debug, because host_lib is null not because libhalide_hexagon_host.so isn't found or isn't in the path (it is!) but because a dependent library - libwrapper.so -

Description

When inputting a 4-dimensional array into skimage.util.montage, I get a misleading error message:

ValueError: Input array has to be either 3- or 4-dimensional

But the input array is 4-dimensional already, what is missing is multichannel=True.

Way to reproduce

import numpy as np
from skimage.util import montage

data = np.zeros((10, 128, 128, 3))
pr

Description

I am trying to test dnn-detection Code
. I am receiving an error message
gocv.io/x/gocv._Cfunc_Net_BlobFromImage(0x470f010, 0x3f80101010101010,...):

I think the scalefactor parameter of the BlobFromImage seems to be wrong

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

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