Image processing

System information (version)

• OpenCV => 4.2
• Operating System / Platform => Windows 64 Bit
• Compiler => Visual Studio Code 1.56.2

Detailed description

When running cv2.seamlessClone() the error is a bit misleading when the incorrect image path is supplied. It doesn't make it obvious that the problem is in the path

Steps to reproduce

import cv2
# Read i

Are you using the latest version? Is the version currently in use as reported by npm ls sharp the same as the latest version as reported by npm view sharp dist-tags.latest?

Yes, using sharp v0.29.1

What are the steps to r

Enhancement

A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding image = np.ascontiguousarray(image) to image and mask targets.

A proposed place to add this call - somewhere at the beginning of A.Compose.__call__.

🚀 Feature

As reported by deepsource in here we abuse from using built-in input function in our functionality.

Motivation

We target to have a clean and healthy source code free of risk.

Pitch

Replace variable names whether it makes sense e.g. for image based functionality input -> image ; in l

Prerequisites

• I have written a descriptive issue title
• I have verified that I am running the latest version of ImageSharp
• I have verified if the problem exist in both DEBUG and RELEASE mode
• I have searched open and closed issues to ensur

Feature Request

This is a feature request for a utility function for cropping images from a bounding box.

Note this need comes up a lot, particularly for 2D images - see this discussion on image.sc for an example, including prototype code. It would be nice to have a full nD solution though. Possibly something that