How to use Bounding Boxes with OpenCV (OCR in Python Tutorials 03.02)
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- Опубликовано: 22 май 2024
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1. Blur image (to identify overall structure, and not focusing on text itself)
2. Create threshold (and kernal) to separate text block
3. Perform dilation (~white thickening)
4. Perform contour (finding boundaries)
5. Perform loop to only draw boundrary box of specific size (to exclude small bbox)
Thank you so much, this really helped me make progress on a project!
This is the one I have been looking for. Thank you so much!
No problem !
Great Thanks !!
Very nice video helped me a lot.
Excellent! Glad it helped!
why can't you provide the code for this
good job man!!!
Thanks
I guess, there is an error in your code. From minute 15:45 on, you define the ROI. However, instead of x+h, w would have to be added to x. Therefore, roi should be defined as: roi = image[y:y+h, x:x+w]
Since this typo also appears on your GitHub you should change it there as well.
Kind regards!
dude, do you have experience in aligned text?
@Python tutorials for digital humanities can you explain how to make bounding box using pixel location?
It's not finding the sections for me. It captures the whole document as a section. Any suggestions?
Hi, this tutorial series has been the best thing slince sliced bread, and honestly dont know where id be with out it
however i am stumped, im trying to read pdfs into jpeg format, the problem arises when i have tables and images within these files that i would like to either skip or try to read into file with out wreacking structure (obviouslty not images within the images). idealy i would like this process to be automated as the final program is not being used by myself but by others less aquainted with technolagy. As of now there is no documentation i can find that helps facilitate this.
i know its a long shot but honestly ive hit a wall and if by some chance anyone can help and guidence would or advice would mean the world
Hi, can you please tell how I can have bounding boxes around each question in any question paper? I have tried a lot, but unable to get it. I would be really glad if you could help me..Thanks!
will this work on colored images as well , if not, what changes should I make for the colored images?
I can't download the images from the course can you help me so that I can practice this
*i Love u so much tks u*
Short question: in Box [15] it reads "else cents[1]". Is this a typo and should be "else cnts[1]" or did I miss something?
But great content! Keep going!
i assume its typo
MAGIC
Can I ask this is capable to application or only for desktop..? Im asking because this is same on my title thesis.
It could be used in the source code of an application, or used on different operating systems. Imports and syntax would vary by language and implementation.
I am trying to run this in google colab but getting an error: TesseractNotFoundError: C:\Program Files\Tesseract-OCR is not installed or it's not in your PATH. See README file for more information. How to resolve this? I have already added pytesseract in my env variables
could you please make a video on handwritten scanned document image line segmentation
Sure! I actually wrote that code a year or so ago. I will try and dig it up and make a video on it.
@@python-programming Thank you so much..
at 11:16 I have an error, can you tell me how to fix it? Thank you!
error: OpenCV(4.7.0) :-1: error: (-5:Bad argument) in function 'boundingRect'
> Overload resolution failed:
> - array is not a numerical tuple
> - Expected Ptr for argument 'array'
fixed by adding a variable, because findContours creates 2 outputs.
cnts, new_variable = cv2.findContours(dilate, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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