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Add find_edges method in Image #523

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Marsmaennchen221 opened this issue Jan 10, 2024 · 1 comment · Fixed by #531
Closed

Add find_edges method in Image #523

Marsmaennchen221 opened this issue Jan 10, 2024 · 1 comment · Fixed by #531
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enhancement 💡 New feature or request released Included in a release

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@Marsmaennchen221
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Is your feature request related to a problem?

The Image Class prior to #506 had a find_edges method, which we removed because PyTorch has no such method.

Desired solution

Implement a method with that functionality, or implement a pre-trained NN.

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@Marsmaennchen221 Marsmaennchen221 added the enhancement 💡 New feature or request label Jan 10, 2024
@Marsmaennchen221 Marsmaennchen221 self-assigned this Jan 18, 2024
@Marsmaennchen221 Marsmaennchen221 linked a pull request Jan 19, 2024 that will close this issue
lars-reimann pushed a commit that referenced this issue Jan 21, 2024
Closes #523 

### Summary of Changes

Added find_edges method for the new image class. Works just like the
find_edges method from the old Image class with pillow.
Fixed images with one channel for both repr and both to_file methods.
Added grayscale images that only contain one channel each.
Re-enabled Image.adjust_color_balance & Image.find_edges in the Image
tutorial.
Added warning for adjust_color_balance if it is used on a grayscale
image.

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Co-authored-by: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com>
lars-reimann pushed a commit that referenced this issue Feb 3, 2024
## [0.18.0](v0.17.1...v0.18.0) (2024-02-03)

### Features

* Add adjust_color_balance method in Image ([#530](#530)) ([dba23f9](dba23f9)), closes [#525](#525)
* Add find_edges method in Image ([#531](#531)) ([d728eb6](d728eb6)), closes [#523](#523)
* class for time series ([#508](#508)) ([73cdfb1](73cdfb1)), closes [#481](#481)
@lars-reimann
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🎉 This issue has been resolved in version 0.18.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Feb 3, 2024
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