Monday, October 2, 2023

New Video πŸŽ₯ : Exploring Transformer OCR (TrOCR)

Learn the State-of-the-art in OCR  β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ β€Œ

Hello trend,

This is Satya Mallick from LearnOpenCV.com.

We have a new video for our OCR Nerds!

video preview​

Today, We will explore the new state-of-the-art model where you'll learn:
βœ… What is the architecture of TrOCR?
βœ… What models does the TrOCR family include?
βœ… How were the TrOCR models pretrained?
βœ… How to run inference using TrOCR and Hugging Face?

So without further ado, let's jump into the tutorial

Accompanying code for the blog post can be found here:

If you want to learn more about Transformers, Text Detection, and OCR, I'm sharing a list of resources that might be helpful for you:

Build Computer Vision & Deep Learning Applications

Do you want to build similar systems and applications using advanced Computer Vision and Deep Learning techniques, and understand deployment using cloud-based services?

​Check out the CVDL Applications course at OpenCV University.​

The courses are closed for enrollment currently. I would urge you to sign up for the waitlist so that you stand a chance to enroll in the next cohort. Generally, you also get a 20% discount when you sign up for the waitlist.

Cheers,

Satya

​Code for ALL blog posts​

​Courses / YouTube / Facebook / LinkedIn / Twitter / Instagram​

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