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Udemy – Computer Vision Bootcamp™ with Python (OpenCV) – YOLO, SSD 2020-11 – Downloadly

Description

Computer Vision Bootcamp™ with Python (OpenCV) – YOLO, SSD , the period of training, insight and computer image processing using the Python language, the OpenCV library and methods such as Viola-Jones, R-CNNs, etc. Nowadays, image processing and especially face and object recognition (which this refers to Course also focused) on the most viewed topics in technology, as algorithms can be used in various areas, from software development to research criminal use for it. For example, detection methods and advanced machines depend on the severity of the computer’s insight, and one of the most common applications of this is considered. With the advent of deep learning and GPUs over the last decade, even instant implementation of these algorithms in live video has become possible.

The theoretical training of facial recognition algorithms and objects and their subsequent implementation in various issues. First, theory, insight, computer, filters and kernel upload (blur, etc., sharpening and edge detection) are learned; You can then use the Canny and Transform Hough algorithm to detect the program in your machine, thighs etc., perform facial recognition in images and videos, be familiar with the Viola-Jones algorithm and the sliding window. In the next section, you will learn about Hog algorithm as a better alternative to Viola-Jones, gradient detection, histogram creation, and how to use SvM machine learning algorithm. The network-based method, Torsion Nerves (CNNs), consists of C-RNNs and the approach, the faster the algorithm detects objects, YOLO, etc. IOU., the SSD and architecture VGG16 and MobileNet, are also from other topics of the course.

What things to learn

Gain a comprehensive understanding of the most powerful computer insight models
Mastering the OpenCV library
Understanding and implementation of Viola-Jones, HOG and YOLO algorithms
Master and implement CNN-related approaches
Familiarity with the SDD algorithm
Full mastery of face and object recognition

This training is suitable for people who:

People interested in machine learning (artificial intelligence) and computational insights.

Profile Computer Vision Bootcamp™ with Python (OpenCV) – YOLO, SSD

Publisher: Udemy
Lecturer: Holczer Balazs
Language: English
Training level: from preliminary to advanced
Number of lessons: 106 lessons in 19 sections
Duration: 9h 46m

Peak seasons

Computer Vision Bootcamp with Python OpenCV YOLO SSD

requirements

  • Basic Python programming knowledge

Pictures

Computer Vision Bootcamp with Python OpenCV YOLO SSD

Example film

installation Guide

After extracting with the player you will get your custom view.

Subtitles: English

Quality: 720p

Download link

Download Part 1 – 1GB

Download Part 2 – 1GB

Download Part 3 – 1GB

Download Part 4 – 707 MB

Password file(s): free software

File size

3.7GB