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Python OCR & Object Recognition Quick Starter 2020-5 – Download

Description

Computer Vision: Python OCR & Object Recognition, quick starter, a preparatory training for character recognition, visual recognition (OCR), recognition of objects in images and object recognition with Python. This course is the third machine learning training course included in the previous volume in this series Computer Vision: Quick Starter for Face Detection in Python It has been published. Using the techniques taught in this course, computers can capture an image to diagnose and classify it, or predict the existing object in the image where the class will be used. With the use of OCR etc. Text contained in the image can be recognized and these texts can be converted into a reading format such as a text or a document. Discovering and recognizing objects is simple and of course complex for a variety of applications, such as: B. in cars where Khudran is used.

Which course “Computer Vision: Python OCR & Object Detection, Quick Starter” will you learn:

  • Learn OCR with the Tesseract library
  • Learn image recognition with Keras
  • Learn the control object with MobileNet SSD
  • Use Mask R-CNN, YOLO, Tiny YOLO from static

Specification period

Publisher: Udemy
Teacher: Abhilash Nelson
Language: English,
Education Level: Introductory to Advanced,
the number of lessons: 49
Duration: 4 hours and 41 minutes

This course in History, 2020-12:

Computer Vision, Python, OCR, Object Recognition, Quick Start Content

Required courses:

A decent configuration computer (preferably Windows) and the enthusiasm to delve into the world of OCR, image and object recognition using Python

Pictures

Computer Vision, Python, OCR, Object Recognition, Quick Starter

Example film

installation Guide

After the excerpt etc. use the player to get your desired view.

Subtitle: no (based on the periodic profile in the captured image, this course is missing the subtitle.)

Quality: 720p

Download link

Download Part 1 – 1GB

Download Part 2 – 1GB

Download Part 3 – 1GB

Download Part 4 – 148 MB

Password file(s): free software

File size

3.1GB