Repository navigation
|
How many types of transformations are there to apply to this sample stroke?
|
Replies: 2 comments 8 replies
|
When you say 'apply to this sample stroke', it's unclear if you mean that you want just the yellow pixels transformed, or if the whole image should be transformed. Pillow is an image processing library. Depending on what your definition of 'transformation' is, asking what transformations can be applied is similar to asking for a list of everything that Pillow can do. Are you aware of the documentation? https://pillow.readthedocs.io/en/stable/. You can read through the possible things to do with Pillow there. |
|
Thank you. I mean whole stroke image. Real handwritten effect as below |
|
Each person has different handwriting style, any good method to recognize or convert handwritten characters to printed characters? |
|
As has been said, Pillow doesn't have any functionality for text detection. |
|
I mean other methods/codes that work fine. |
|
Code other than Pillow? Googling 'ocr handwriting python', I found https://blog.davidbramsay.com/handwriting-ocr-in-python/amp which lays out some alternatives. |
|
Thank you. |
When you say 'apply to this sample stroke', it's unclear if you mean that you want just the yellow pixels transformed, or if the whole image should be transformed.
Pillow is an image processing library. Depending on what your definition of 'transformation' is, asking what transformations can be applied is similar to asking for a list of everything that Pillow can do.
Are you aware of the documentation? https://pillow.readthedocs.io/en/stable/. You can read through the possible things to do with Pillow there.