Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Convert image to grayscale #287

Closed
lars-reimann opened this issue May 5, 2023 · 1 comment · Fixed by #366
Closed

Convert image to grayscale #287

lars-reimann opened this issue May 5, 2023 · 1 comment · Fixed by #366
Assignees
Labels
enhancement 💡 New feature or request released Included in a release

Comments

@lars-reimann
Copy link
Member

Is your feature request related to a problem?

I'd like to be able to convert an Image to grayscale.

Desired solution

Add method convert_to_grayscale to Image that returns the grayscale image but leaves the original unchanged.

Possible alternatives (optional)

No response

Screenshots (optional)

No response

Additional Context (optional)

No response

@lars-reimann lars-reimann added the enhancement 💡 New feature or request label May 5, 2023
@jxnior01 jxnior01 self-assigned this Jun 16, 2023
@jxnior01 jxnior01 linked a pull request Jun 16, 2023 that will close this issue
jxnior01 added a commit that referenced this issue Jun 16, 2023
Closes #287

### Summary of Changes

* feat: Added method that returns converted grayscale image but leaves
the original unchanged.

---------

Co-authored-by: megalinter-bot <[email protected]>
lars-reimann pushed a commit that referenced this issue Jun 30, 2023
## [0.14.0](v0.13.0...v0.14.0) (2023-06-30)

### Features

* 290 properties for width-height of image ([#359](#359)) ([d9ebdc1](d9ebdc1)), closes [#290](#290)
* Add `find_edges` method to `Image` class ([#383](#383)) ([d14b6ce](d14b6ce)), closes [#288](#288)
* Add `StandardScaler` transformer ([#316](#316)) ([57b0572](57b0572)), closes [#142](#142)
* Add docstrings to the getter methods for hyperparameters in Regression and Classification models ([#371](#371)) ([9073f04](9073f04)), closes [#313](#313)
* Added `Table.group_by` to group a table by a given key ([#343](#343)) ([afb98be](afb98be)), closes [#160](#160)
* Added and improved errors and warnings in the table transformers ([#372](#372)) ([544e307](544e307)), closes [#152](#152)
* added crop() method in image and tests ([#365](#365)) ([eba8163](eba8163))
* added invert_colors method ([#367](#367)) ([1e4d110](1e4d110))
* adjust brightness and contrast of image ([#368](#368)) ([1752feb](1752feb)), closes [#289](#289) [#291](#291)
* blur Image method ([#363](#363)) ([c642176](c642176))
* check that methods of table can handle an empty table ([#314](#314)) ([686c2e7](686c2e7)), closes [#123](#123)
* convert image to grayscale ([#366](#366)) ([1312fe7](1312fe7)), closes [#287](#287)
* enhance `replace_column` to accept a list of new columns ([#312](#312)) ([d50c5b5](d50c5b5)), closes [#301](#301)
* Explicitly throw `UnknownColumnNameError` in `TaggedTable._from_table` ([#334](#334)) ([498999f](498999f)), closes [#333](#333)
* flip images / eq method for image ([#360](#360)) ([54f4ae1](54f4ae1)), closes [#280](#280)
* improve `table.summary`. Catch `ValueError` thrown by `column.stability` ([#390](#390)) ([dbbe0e3](dbbe0e3)), closes [#320](#320)
* improve error handling of `column.stability` when given a column that contains only None ([#388](#388)) ([1da2499](1da2499)), closes [#319](#319)
* Improve Error Handling of classifiers and regressors ([#355](#355)) ([66f5f64](66f5f64)), closes [#153](#153)
* Resize image ([#354](#354)) ([3a971ca](3a971ca)), closes [#283](#283)
* rotate_left and rotate_right added to Image ([#361](#361)) ([c877530](c877530)), closes [#281](#281)
* set kernel of support vector machine ([#350](#350)) ([1326f40](1326f40)), closes [#172](#172)
* sharpen image ([#364](#364)) ([3444700](3444700)), closes [#286](#286)

### Bug Fixes

* Keeping no columns with Table.keep_only_columns results in an empty Table with a row count above 0 ([#386](#386)) ([15dab06](15dab06)), closes [#318](#318)
* remove default value of `positive_class` parameter of classifier metrics ([#382](#382)) ([58fc09e](58fc09e))
* remove default value of `radius` parameter of `blur` ([#378](#378)) ([7f07f29](7f07f29))
@lars-reimann
Copy link
Member Author

🎉 This issue has been resolved in version 0.14.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Jun 30, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement 💡 New feature or request released Included in a release
Projects
Archived in project
Development

Successfully merging a pull request may close this issue.

2 participants