Rajeev D. Ratan
Welcome to one of the most thorough and well–taught courses on OpenCV, where you’ll learn how to Master Computer Vision using the newest version of OpenCV4 in Python!
NOTE: Many of the earlier poor reviews was during a period of time when the course material was outdated and many of the example code was broken, however, this has been fixed as of early 2019 🙂
Computer Vision is an area of Artificial Intelligence that deals with how computer algorithms can decipher what they see in images! Master this incredible skill and be able to complete your University/College Projects, automate something at work, start developing your startup idea or gain the skills to become a high paying ($400–$1000 USD/Day) Computer Vision Engineer.
Last Updated Aug 2019, you will be learning:
Key concepts of Computer Vision & OpenCV (using the newest version OpenCV4)
Image manipulations (dozens of techniques!) such as transformations, cropping, blurring, thresholding, edge detection and cropping.
Segmentation of images by understanding contours, circle, and line detection. You’ll even learn how to approximate contours, do contour filtering and ordering as well as approximations.
Feature detection (SIFT, SURF, FAST, BRIEF & ORB) to do object detection.
Object Detection for faces, people & cars.
Instructor Details
Courses : 2
Specification: Master Computer Vision OpenCV4 in Python with Deep Learning
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13 reviews for Master Computer Vision OpenCV4 in Python with Deep Learning
Add a review
| Price | $12.99 |
|---|---|
| Provider | |
| Duration | 11 hours |
| Year | 2020 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
$12.99
Sridhar M –
I like the approach taken, to simplify lot of complicated concepts, in algorithms and the code, which helps a beginner with little or no knowledge, to confidently learn Computer Vision. I liked the way knowledge is shared, by actually showing some real life, practical and fun use cases along with the code required and providing resoures for further exploration, if the learner is interested. Also, the list of use cases which are potential start up ideas, are very useful for the ambitious learners.
Brett Roberts –
Not updated to python 3 or openCV4 (as course title suggests) Doesn’t go into detail or focus on the understanding of the fundamentals.
MK Prasad –
1.Links for setup file is not given properly. 2. As per the video on setup process, showing error.
Jesus Gonzalez –
I’m learning a lot. It would be better if we had 2 versiones of the code, one for Python 2 and another for Python 3. The audio is very low…
Dilip Upadhyay –
Very good
Aliu Abdul Mujib –
Amazing instructor!! Cool projects, I’d love a course that builds something which ties together everything we’ve learnt so far. I mean something fairly complex that uses a lot of knowledge from the course.
Srinidhi Kumar –
issue with the sound quality
Manuel ngel Neira Garc a –
Buen contenido y bien explicado, mejor que cualquier libro
Jardeleza Donie –
It just suits my needs as a beginner. Thanks so much.
Lloyd Clark –
Great course content, exactly what I needed. Rajeev is a great teacher, but he could speak a bit louder. Good way to learn the nuts and bolts of computer vision with python.
Kehul Patni –
a lot of errors while we run the code and the instructor hasnt even explained to that extent
Shrey Kumar Jain –
It’s like he is just reciting his own code, that too after downloading his own created virtual machine…
Viddya K –
Few lines of code and their significance could have been explained better. for example, the ‘reshape()’ function. Also 1 or 2 lines about why or how these basic codes could be useful