OpenCV (Open Source Computer Vision Library) is a type of machine learning software library and was built to provide a common infrastructure for computer vision applications to accelerate the use of machine perception in commercial products. Being an open-source type library, OpenCV has more than 2500 optimized algorithms that includes a set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify various objects, classify some human actions in videos, track camera movements, track moving objects, etc. OpenCV online test helps tech recruiters and hiring managers to assess candidates OpenCV skills. OpenCV skills test is designed by experienced subject matter experts (SMEs) to evaluate and hire computer vision engineer as per the industry standards. OpenCV online test helps to screen candidates who possess skills as follows:
- Good experience of using OpenCV software library
- Knowledge of using functions like Shape functions in OpenCV - Knowledge of upper limit and lower limit functions
- Understanding of background subtractor and diagonal points in the library
- Familiarity with terms like Webcam and biomolecule compunds
OpenCV skills test is a secure and reliable assessment. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation, image, audio/ video proctoring help detect cheating during the test. This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.
The image of an object varies a lot when seen from different perspectives. When developing a model that works well on all images, one has to take care of all possible perspectives. Which of the following would you use to get a perspective look from an image? (pts1 and pts2 are points for the transformation of perspective)