Jose Portilla
Welcome to the ultimate online course on Python for Computer Vision!
This course is your best resource for learning how to use the Python programming language for Computer Vision.
We’ll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.
The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using computer vision.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self–driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course we’ll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
Instructor Details
Courses : 21
Specification: Python for Computer Vision with OpenCV and Deep Learning
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28 reviews for Python for Computer Vision with OpenCV and Deep Learning
Add a review
| Price | $17.99 |
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| Provider | |
| Duration | 14 hours |
| Year | 2021 |
| Level | Intermediate |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$17.99
Akhmal Syafi –
Easy to understand
Kiran Kumar Reddy Y –
Please provide the text for what you speak, I am not able to understand clearly what you are speaking, you are speaking very fast… it is very hard to understand for Asian people. So naturally we are getting irritation. So please look at these two things. The course content and remaining all things are Superb… Thank for providing good content.
Rachit Mehta –
The explanation of various features is damn good. Well elaborated course, really helps you to understand from basics.
Thiago Marchi di Gennaro –
Ainda cedo para responder
Adongo shardrach –
so so
Mauricio Lins –
Good content and examples. A good start point for who wants to understand how the Computer Vision works with python. The Deep Learning session helped me a lot.
wim van der Heijden –
Vlot en verstaanbaar
Abdul Wahab Zahid –
The presenter really knows what he is presenting and what and how a beginners need information to build and their knowledge base.
Syed Abrar –
the course is very well structured and everything is explained clearly with help of code !
Kenneth Hendrata –
Good match, good explanation
Anne Farineau –
I taught myself some OpenCV to write my own scripts for work, but was missing fundamentals and didn’t always understand why things worked, so this course is filling in the holes.
Herbert Guzman –
Great course. A bit more depth in the math/statistics behind the algorithms would be helpful.
Fabrice Konde Issa Traore –
The lectures are really well explained, the teacher is great and it s quite hands on so far
Ashu Yewale –
Good understood each and every step of this video
Denis Yanchoglov –
What I really like is a very detailed course, looks like everything I need is here
Pitabas Mohanty –
Great course!
Nooreldean Koteb –
Great course! Goes into detail about many features available in openCV and explains the theory behind it.
Moises Gonzalez –
nice demostration of what you can achieve with opencv
Prakhar Prasad –
This is an exciting course. As in all other courses, Jose is one of the best instructor who combines the right mix of theory and hands on in a very articulate manner. Personally I have learnt a lot from his courses and Computer Vision is just as exciting. It will definitely build a solid foundation to anyone who wants to pursue career in AI and Deep Learning.
Vineet K. Pant –
I am feeling comfortable with the pace and looking forward to the further course content.
Mel Yang –
very clearly taught!
Ibrahim Ahmed –
Concepts explained in easy ways and from the very basics. Good course
Dominic Jenner –
Excellent as always
David L. –
Good and concise instruction. Prompt answers in the Q&A session.
Prent Rodgers –
It was amazing how the cvcourse linux.yml was able to install all the right versions of software, including some old versions of tensorflow and keras. This makes my results consistent with those of the lecturer.
Bruce Li –
Great intro to the open cv and the simple world examples
Nisirin K –
good
Aleksey Vesyoliy –
Thanks to Jose! Great and useful course as usual! 5/5