OpenCV VS imagick

OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision.

This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision.

Download the Haar cascade XML files for face and smile detection: https://github.com/opencv/opencv/tree/master/data/haarcascades

Let's open the most recent release of opencv to the date of this video capturing: https://github.com/opencv/opencv/releases/tag/4.5.1

First of all, OpenCV, an open-source computer vision library, was used as the main editing tool. This is how NuloApp is able to get the correct aspect ratio for smartphone content, and do other cool things like centering the video on the speaker so that they aren't out of frame when the aspect ratio is changed.

git clone https://github.com/opencv/opencv.git mkdir -p build && cd build cmake ../opencv make -j4 sudo make install

OpenCV: Visión por Computadora para Todos (https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zxyacyoqx4h0lvem6jpj.png)

In addition to installing the YOLO implementation from Ultralytics, this also installs OpenCV for image processing.

OpenCV - The official site for OpenCV, featuring tutorials and documentation.

git clone https://github.com/opencv/opencv.git cd opencv

If you want my opinion on which one to use, I would recommend this one, as there exist bindings for a huge amount of languages.

Looks like the kind of problem I'd solve with imagick https://github.com/gographics/imagick