Automatic Number Plate Recognition, OCR Web App in Python

Automatic Number Plate Recognition, OCR Web App in Python

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It’s time you raise your standard high in the field of data science. Understand how to construct an OCR Web app in Python for ANPR with this highly acclaimed Automatic Number Plate Recognition, OCR Web App in Python course .

ANPR helps in tracking good and bad vehicles as well as providing vital information for spotting criminals. The purpose of this super exclusive Automatic Number Plate Recognition OCR Web App in Python course is to teach you how to build an OCR Web app in Python for automatic number plate recognition from the bottom up. The training includes modelling techniques such as object detection model, data pre preprocessing and model evaluation. It will enhance your Image processing and object detection skills which are required of data scientists.  

Enrol now and learn how to develop web app projects with Python.

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Automatic Number Plate Recognition, OCR Web App in Python is fully available to anyone, and no previous qualifications are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Module 01: What we will do
Project Architecture 00:03:00
Module 02: Date and Labeling
Get the data 00:01:00
Download annotation 00:02:00
Requirements annotation 00:03:00
Labeling 00:02:00
XML to CSV 00:10:00
Read data 00:08:00
Verify data 00:06:00
Module 03: Preprocessing
Data preprocessing 00:10:00
Split data into train test 00:03:00
Module 04: Train Object Detection Model
Model building part 1 00:03:00
Model building part 2 00:06:00
Model building part 3 00:02:00
Model building part 4 00:02:00
Model Training new 00:04:00
Train again 00:02:00
Save model 00:03:00
Tensorboard 00:04:00
Module 05: Pipeline
Test model 00:10:00
Test model part 2 00:04:00
Denormalize 00:04:00
Bounding 00:05:00
Make Pipeline 00:05:00
Module 06: OCR
Install tesseract OCR 00:05:00
Install pytesseract 00:02:00
OCR numberplate 00:06:00
Module 07: 7 Number Plate Web App
Install VS code 00:04:00
First flask 00:07:00
Render template 00:07:00
Boostrap 00:03:00
Navbar 00:03:00
Footer 00:02:00
Template inheritance 00:03:00
Upload 00:04:00
Integrate deeplearning 00:13:00
Integrate 00:06:00
Get output part 1 00:08:00
Get output part 2 00:07:00
Assignment – Automatic Number Plate Recognition, OCR Web App in Python 00:00:00

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