explanation
Computer Vision: Python OCR & Object Detection, Quick Starter, Character Recognition, Pre-training Period for Visual Recognition (OCR), Object Detection in Images and Object Detection with Python. This course is the third course in machine learning training, the prequel to this set. Computer Vision: Facial Recognition Quickstart in Python It was revealed. Using the techniques taught in this course, a computer can take and classify photos for a complete diagnosis or predict objects present in photos used in class. You can use OCR, etc. to detect text included in an image and convert this text into a readable format like text or documents. Simple and of course complex khudran like cars are used for discovery and detection of objects for various applications.
In Computer Vision: Python OCR and Object Detection, Quickstart, you’ll learn:
- Learning OCR using the Tesseract library
- Learning image recognition using Keras
- Learn about tax objects using MobileNet SSD
- Using Mask R-CNN, YOLO, and Tiny YOLO in static
Specification period
Publisher: Udemy
Teachers: Avila City Nelson
Language: English,
Education level: Beginner to advanced;
Number of classes: 49
Duration: 4 hours 41 minutes
History Courses 2020-12:
precondition:
A decently configured computer (Windows recommended) and a passion to dive into the world of OCR, image and object recognition using Python.
image
sample video
installation manual
After extracting, use the back player to select the desired view.
Subtitles: No (there are no subtitles in this course due to the periodic profile of the captured images)
Quality: 720p
download link
Password file: free download software
file size
3.1GB