Description
Computer Vision Bootcamp™ with Python (OpenCV) – YOLO, SSD training course Computer vision and image processing using Python language, library OpenCV and methods such as Viola-Jones, R-CNNs, etc. Today, image processing, and especially face and object recognition (which is also the focus of this course) are among the most popular technology topics because these algorithms can be used in several fields, from software engineering to criminal investigations; For example, lane detection methods in self-driving cars are highly dependent on computer vision and are considered one of its most common applications. With the emergence of deep learning and GPUs in the last decade, it is even possible to run these algorithms instantly on live videos.
This course deals with the theoretical training of face and object recognition algorithms and then implements them on different problems. First, you will learn the theory of computer vision, filters and kernels (blur, sharpen and edge detection); Then, you will learn about Canny algorithm and Hough transformation for lane detection in self-driving cars and face recognition in images and videos with Viola-Jones algorithm and sliding window approach. In the next section, you will learn the HOG algorithm as a better alternative to Viola-Jones, the detection of gradients, the construction of histograms, and the use of the SVM machine learning algorithm. Methods based on Convolutional Neural Networks (CNNs) including C-RNNs and its faster approaches, YOLO, IOU, SSD object recognition algorithm and VGG16 and MobileNet architectures are also among the other topics of this course.
What do you learn:
- Gain a proper understanding of the most powerful computer vision models
- Mastery of the OpenCV library
- Understanding and implementing the Viola-Jones, HOG and YOLO algorithms
- Mastery of approaches related to CNN and their implementation
- Getting to know the SDD algorithm
- Complete mastery of face and object recognition
This training is suitable for people who:
- People who are interested in machine learning (artificial intelligence) and computer vision.
Specifications of Computer Vision Bootcamp™ with Python (OpenCV) – YOLO, SSD:
- Publisher: Udemy
- teacher : Holczer Balazs
- English language
- Education level: from elementary to advanced
- Number of lessons: 106 lessons in 19 sections
- Duration: 9h 46m
Headlines
prerequisites
- Basic Python programming skills
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3.7 GB
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