Description
Automatic Number Plate Recognition, OCR Web App in Python, is a training course on model plate number recognition, OCR and building web projects using deep learning, Flow Tensor 2 and Flask framework. Image processing and object recognition is one of the sub-topics of data science, which includes a wide range of applications in industry in the world. Many companies are looking for data science specialists who have these skills. This course covers modeling technologies including data tagging of detected objects, data processing, building deep learning models, evaluation and web application production. In this course, you will learn how to build a project in the Python programming language, tag images for object recognition, develop object recognition models, model evaluation, use Pytesseract for OCR, and work with the Flask API.
What you will learn in the course Automatic Number Plate Recognition, OCR Web App in Python:
- Distinguish objects from the base
- Identify car license plate numbers
- Extract texts from images using Tesseract
- Learn InceptionResnet V2 in Flow Tensor 2 to detect objects
- Flask based web API
Course specifications
Publisher: Udemy
Instructors: Data Science Anywhere and Srikanth Gusksra
Language: English
Level: Introductory to Advanced
Number of Courses: 41
Duration: 3 hours and 8 minutes
Course topics:
Automatic Number Plate Recognition OCR Web App in Python Prerequisites:
Basic knowledge on Python
Knowledge on Deep learning with TensorFlow
Basics on HTML
Pictures
Automatic Number Plate Recognition OCR Web App in Python Introduction Video:
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
download link
File password (s): www.downloadly.ir
Size
2 GB