Adding a like so I can return to this, adding a bookmark so I can return to this, adding a comment so I can return to this. Subscribed so I can return to this. I think I'm covered with not losing this tutorial, haha. Thanks for making this series. Looking forward to learning.
I was really excited to see that there will be a tutorial on processing table as shown in the video 6:38 But didn't find any tutorial on it. Eagerly waiting to see that
Thank you! That's great! Is there a playlist dedicated to table extraction? I don't see it, but you mentioned you want to create it, so maybe I missed.
Hi, Congratulations Your videos are very successful. However, I have a slightly more specific problem. I'm trying to read the writings on the tire treads, but OCR doesn't work. I relatively increase the performance of OCR by performing various pre-processes, but these processes are not adaptive and do not produce the effect I expect. What is your advice for a problem that has a contrast problem, such as the writings on the tire surface, and cannot be solved by pre-processing?
Are there OCR libraries for converting math equations to text with proper mathematical notation and formatting? I have a pdf of math questions I would like to conver to text but any OCR tool I find does a horrible job at converting the math notations such as superscripts, subscripts, division operators, etc
Thanks for the amazing series. You mentioned the models that are used for handwritting are different than the ones for typed. Which are these models? TrOCR? I'm trying to build a program that could identify medicine names from a doctor's prescription, tho I'm not expecting crazy results. Tesseract was horrible at this. So would you please tell me which models should i use?
Here is the playlist. I didn't realize it was not listed on my main page. Thanks for letting me know. ua-cam.com/play/PL2VXyKi-KpYuTAZz__9KVl1jQz74bDG7i.html
sir i created ocr app with tesseract, its running fine, but when i tried to deploy on heroku the third party build pack path in python script is missing, apparently not running
@@davidjennings2179 thank your for resposnse..is there any other way bcoz storing image in ram is still be burdern on system (storing image file with large size in ram)..like some kind of encoding sp the space used to storing image in ram can be less?
@@MrZaq099 I'm not entirely sure what the problem you're experiencing is - if you're trying to analyse a particularly large image you could split the image up to only analyse part at a time but the issue there, particularly with OCR, is that you might cut it across important areas of the image. Is your computer struggling to keep an image in ram?
github.com/wjbmattingly/ocr_python_textbook
Adding a like so I can return to this, adding a bookmark so I can return to this, adding a comment so I can return to this. Subscribed so I can return to this. I think I'm covered with not losing this tutorial, haha. Thanks for making this series. Looking forward to learning.
Awesome! All videos for 4 weeks will be for this playlist.
ocr is easy to understand and I appreciate it so much!
thanks for the series, I looked long and hard for a couple of days and finally I found your series. :)
So happy I could help!!
I was really excited to see that there will be a tutorial on processing table as shown in the video 6:38 But didn't find any tutorial on it. Eagerly waiting to see that
You sir are a beautiful person. Thank You!
No problem! 😊
Thank you sir.
I am enthusiastic to apply the knowledge I acquire from this course !
Thank you for the OCR series, Sir. Eagerly waiting for more OCR tutorials.
MY GOAT KEEP COOKING!!! Thanks so much for this! This fr is based af!!!!
Thanks for the OCR series. Great resources. Any plan in the future to add some more videos on OCR table images?
Thank you! That's great! Is there a playlist dedicated to table extraction? I don't see it, but you mentioned you want to create it, so maybe I missed.
Hi, Congratulations
Your videos are very successful. However, I have a slightly more specific problem. I'm trying to read the writings on the tire treads, but OCR doesn't work. I relatively increase the performance of OCR by performing various pre-processes, but these processes are not adaptive and do not produce the effect I expect. What is your advice for a problem that has a contrast problem, such as the writings on the tire surface, and cannot be solved by pre-processing?
The library you use in the course can be used to solve CAPTCHA image?
Are there OCR libraries for converting math equations to text with proper mathematical notation and formatting? I have a pdf of math questions I would like to conver to text but any OCR tool I find does a horrible job at converting the math notations such as superscripts, subscripts, division operators, etc
Thanks for the amazing series.
You mentioned the models that are used for handwritting are different than the ones for typed.
Which are these models? TrOCR?
I'm trying to build a program that could identify medicine names from a doctor's prescription, tho I'm not expecting crazy results.
Tesseract was horrible at this. So would you please tell me which models should i use?
Please add playlist for this
Here is the playlist. I didn't realize it was not listed on my main page. Thanks for letting me know. ua-cam.com/play/PL2VXyKi-KpYuTAZz__9KVl1jQz74bDG7i.html
sir i created ocr app with tesseract, its running fine, but when i tried to deploy on heroku the third party build pack path in python script is missing, apparently not running
which algorithm used in this project?
Do you have a playlist for handwritten characters conversion to text?
/do i need to store the image (after Pillow ) in my disk
Pillow will store the image in ram while your program is running but release that space once the program is closed.
@@davidjennings2179 thank your for resposnse..is there any other way bcoz storing image in ram is still be burdern on system (storing image file with large size in ram)..like some kind of encoding sp the space used to storing image in ram can be less?
@@MrZaq099 I'm not entirely sure what the problem you're experiencing is - if you're trying to analyse a particularly large image you could split the image up to only analyse part at a time but the issue there, particularly with OCR, is that you might cut it across important areas of the image.
Is your computer struggling to keep an image in ram?
unbelannt is falsch.
what?
@@akzork He means that "unbelannt" (as recognised by OCR) is not a German word. It should be "unbekannt" ('unknown').