Uploaded August 2021 | Updated September 2026, 21 minutes ago
Want to learn how to apply optical character recognition?
In this video you'll be able to leverage it to extract prescription medication labels using PaddleOCR. This has a range of applications and could be used as part of a broader deep learning pipeline. It could be integrated with a Text to Speech system to make it easier for people with accessibility issues to interpret their medications.
Get the code: github.com/nicknochnack/DrugLabelExtraction-
In this video, you'll learn:
1. How to install PaddleOCR for Python
2. Applying OCR to images
3. Extracting prescription medication labels using PaddleOCR
Links:
Paper: arxiv.org/pdf/2009.09941v3.pdf
GitHub: github.com/PaddlePaddle/PaddleOCR
Chapters:
0:00 Start
3:13 - Install and Import Dependencies
10:31 - Make Detections
20:36 - Visualise OCR Results
31:51 - Other Examples
36:00 - Ending
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!
Want to learn how to apply optical character recognition?
In this video you'll be able to leverage it to extract prescription medication labels using PaddleOCR. This has a range of applications and could be used as part of a broader deep learning pipeline. It could be integrated with a Text to Speech system to make it easier for people with accessibility issues to interpret their medications.
Get the code: github.com/nicknochnack/DrugLabelExtraction-
In this video, you'll learn:
1. How to install PaddleOCR for Python
2. Applying OCR to images
3. Extracting prescription medication labels using PaddleOCR
Links:
Paper: arxiv.org/pdf/2009.09941v3.pdf
GitHub: github.com/PaddlePaddle/PaddleOCR
Chapters:
0:00 Start
3:13 - Install and Import Dependencies
10:31 - Make Detections
20:36 - Visualise OCR Results
31:51 - Other Examples
36:00 - Ending
Oh, and don't forget to connect with me!
LinkedIn: bit.ly/324Epgo
Facebook: bit.ly/3mB1sZD
GitHub: bit.ly/3mDJllD
Patreon: bit.ly/2OCn3UW
Join the Discussion on Discord: bit.ly/3dQiZsV
Happy coding!
Nick
P.s. Let me know how you go and drop a comment if you need a hand!










