Free OpenCV Python course: Master Computer Vision (2024)

FAQs

Is OpenCV certification worth it? ›

I will definitely recommend this course to any enthusiastic beginner or even for more advanced people in the field to polish some basic concepts plus the discussion forum is always on. I almost forgot to mention that the course is so versatile that provides two languages to learn: Python or C++.

After you start a course, it will take you 3-4 months to finish it depending on the course. (assuming you put in 7-8 hrs/week to work on the course.) See below. Computer Vision I : 3 months.

OpenCV was built for maximum efficiency and performance of computing-intensive vision tasks. Therefore, it has a strong focus on real-time applications of AI vision. The open-source software is written in optimized C and can take advantage of multicore processors (multi-threading).

Average salary is ₹25.4lakhs.

Employees who knows Opencv earn an average of ₹25.4lakhs, mostly ranging from ₹15.7lakhs to ₹107.4lakhs based on 68 profiles.

In the Data Science And Machine Learning market, PyTorch has a 23.91% market share in comparison to OpenCV's 19.53%. Since it has a better market share coverage, PyTorch holds the 2nd spot in 6sense's Market Share Ranking Index for the Data Science And Machine Learning category, while OpenCV holds the 3rd spot.

The tutorials were hard to follow and incomplete. And even some of the books were a bit tedious to work through. The good news is learning OpenCV isn't as hard as it used to be. And in fact, I'll go as far as to say studying OpenCV has become significantly easier.

- C++: C++ generally offers better performance than Python when it comes to computational-intensive tasks. This makes it a preferred choice for real-time computer vision applications or scenarios where speed is crucial.

The major difference between OpenCV and TensorFlow lies in their primary focus as well as functionality. OpenCV specializes in traditional computer vision which includes tasks like the production of images and video processing. On the contrary, TensorFlow is better known for its deep learning applications.

We have compiled a list of solutions that reviewers voted as the best overall alternatives and competitors to OpenCV, including Google Cloud Vision API, Microsoft Computer Vision API, Amazon Rekognition, and scikit-image.

What are the prerequisites to learn OpenCV? To learn OpenCV, it is recommended to have a basic understanding of any programming language, statistics, and mathematics.

Is OpenCV hard to learn? ›

The tutorials were hard to follow and incomplete. And even some of the books were a bit tedious to work through. The good news is learning OpenCV isn't as hard as it used to be. And in fact, I'll go as far as to say studying OpenCV has become significantly easier.

The movement of head or different camera positions can cause changes of facial texture and it will generate the wrong result. Occlusion means the face as beard, mustache, accessories (goggles, caps, mask, etc.) also interfere with the estimate of a face recognition system.