Free download » Free download video courses » Udemy - Mastering OCR using Deep Learning and OpenCV-Python
| view 👀:76 | 🙍 oneddl | redaktor: FreshWap.CC | Rating👍:

Udemy - Mastering OCR using Deep Learning and OpenCV-Python


Udemy - Mastering OCR using Deep Learning and OpenCV-Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (2h 27m) | Size: 770.2 MB
A complete guide to optical character recognition pipeline using Deep Learning, python and OpenCV


What you'll learn:
What is Optical Character Recognition (OCR)?
A general OCR pipeline used by most industries.
Different Image Pre-processing techniques used in OCR pipeline.
Different Text Detection techniques used in OCR pipeline such as EAST and CTPN.
Different Text Recognition techniques used in OCR pipeline such as CRNN (CNN+RNN+CTC)
Implementing OCR on real-life examples
Requirements
A little knowledge about OpenCV-Python and Deep Learning is sufficient.
Description
Hi There!
Welcome to the course 'Mastering OCR using Deep Learning and OpenCV-Python'. This is the first course of my OCR series.
In this course we will start from the very basics. We will first discuss what is Optical Character Recognition and why you should invest your time in learning this.
Then we will move to the general pipeline used by most of the OCR systems available.
After this we will start learning each pipeline component in detail. We will start by learning some image pre-processing techniques commonly used in OCR systems.
Then we will learn some deep learning based text detection algorithms such as EAST and CTPN. We will also implement the EAST algorithm using OpenCV-Python.
Next we will learn the crux of the CTC which is widely used in developing text recognition systems. We will implement very famous text recognition algorithm that is CRNN.
Finally we will learn the last component of the OCR pipeline that is restructuring. In this we will discuss why is restructuring important for any OCR systems.
We will also discuss an open source end-to-end OCR engine which is pytesseract.
Finally we will run the complete OCR pipeline to extract the data from identification document using pytesseract.
So that's all for this course, see you soon in the class room. Happy learning and have a great time.
Stay safe, stay healthy.
Who this course is for
People who have no experience with OCR and wants to learn about it.
People who have little experience of OCR and wants to master it.
People who want to make their career in OCR field.
People who want to apply OCR in their real life to automate day-to-day work.
Homepage
https://www.udemy.com/course/mastering-ocr-using-deep-learning-and-opencv-python

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me



rapidgator
https://rapidgator.net/file/021d28fda372c7c12d1a9ba22da23eb5/do2kr.Mastering.OCR.using.Deep.Learning.and.OpenCVPython.rar.html



Links are Interchangeable - No Password - Single Extraction

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload
📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.