Image processing
Digital image processing is the use of algorithms to make computers analyze the content of digital images.
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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
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There is a set of augmentations specific for medical imaging in the torchio.readthedocs.io.
The license there is Apache 2 => As I understand, we can use some of the transforms from there in Albumentations. Of course, we need to keep the link to the original implementation in the docstring.
For example:
- [RandomGhosting](https://torchio.readthedocs.io/transforms/augmentation.html#torc
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🚀 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
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Description
To address this issue, a new contributor could start with a recursive grep for \.format\(
on a subpackage of interest to them (or on the entire package). Replacing instances of .format()
with f-strings can be a good pretext to explore the codebase.
Reference: https://www.python.org/dev/peps/pep-0498/
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System information (version)
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