Timeline for Crop black border of image using NumPy
Current License: CC BY-SA 4.0
13 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 10, 2020 at 13:24 | history | edited | CommunityBot |
Commonmark migration
|
|
| Mar 15, 2020 at 0:47 | review | Suggested edits | |||
| Mar 15, 2020 at 1:54 | |||||
| Nov 4, 2019 at 8:06 | comment | added | Divakar | @AC Oops that was a bug indeed. Thank you for pointing that one out! Fixed. | |
| Nov 4, 2019 at 8:05 | history | edited | Divakar | CC BY-SA 4.0 |
deleted 8 characters in body
|
| Nov 4, 2019 at 7:28 | comment | added | A C |
Thanks for this, it's super handy! I don't think you need (or want) to subtract the one from your row_/col_ends in crop_image_only_outside(), by the way.
|
|
| Jul 13, 2019 at 5:01 | history | edited | Divakar | CC BY-SA 4.0 |
one typo
|
| Jul 12, 2019 at 16:05 | history | edited | Divakar | CC BY-SA 4.0 |
added 1071 characters in body
|
| Jul 12, 2019 at 15:27 | history | edited | Divakar | CC BY-SA 4.0 |
added 2812 characters in body
|
| Jun 24, 2016 at 14:10 | vote | accept | CommunityBot | ||
| Jun 24, 2016 at 10:53 | comment | added | Gareth Rees | How does this work if the non-black part of the image is disconnected? For example, what if there are some rows (or columns) in the middle of the image that are completely black? The OP would like those parts of the image to be included in the crop, but the code in this answer will exclude them. | |
| Jun 24, 2016 at 9:38 | history | edited | Divakar | CC BY-SA 3.0 |
added results
|
| Jun 24, 2016 at 9:13 | history | edited | Divakar | CC BY-SA 3.0 |
deleted 1 character in body
|
| Jun 24, 2016 at 9:09 | history | answered | Divakar | CC BY-SA 3.0 |