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

explanation

Computer Vision Bootcamp™ (OpenCV) with Python – YOLO, SSD , a period of training, insight and computer image processing using Python language, library OpenCV and methods such as Viola-Jones, R-CNN, etc. Nowadays, image processing, especially face recognition and objects (which are also the focus of this course), is considered to be the most sought-after field of technology. Because this algorithm can be used in many fields, from software engineering to research. Criminal use for him. For example, one of the most common applications, which depends on the severity of detection methods and advanced machines, insight computers, is considered. Over the past decade, the advent of deep learning and GPUs has made it possible to instantly implement these algorithms on live video.

We theoretically train face recognition algorithms and objects and apply them to various issues. First, we learn the theory, insight, computer, filter and kernel uploads (blur, etc., sharpness and edge detection). You can then use the Canny algorithm and the Hough transform algorithm to detect programs such as mechanical thighs, and the Viola-Jones approach and the sliding window algorithm to perform face detection in images and videos. In the following sections, you will learn how to use the hog algorithm, a better alternative to Viola-Jones, gradient recognition, creating histograms, and the SvM machine learning algorithm. Torsion Neural (CNN), a network-based method, consists of C-RNN, the faster the approach, the better the algorithm detects objects, YOLO, etc. IOU., SSD and Architecture VGG16 and MobileNet are also included among other topics in this course.

What to learn

Understand the most powerful computer Insight model.
Mastering the OpenCV library
Understanding and Implementing Viola-Jones, HOG and YOLO Algorithms
We dominate and implement CNN-related approaches.
Knowledge of SDD algorithm
Complete mastery of face and object recognition

This training is suitable for:

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

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

Publisher: Udemy
Instructor: Holczer Balazs
Language:English
Education level: Preparatory to advanced
Number of classes: 19 sections, 106 classes
Duration: 9 hours 46 minutes