Let's, start with what is OpenCV. OpenCV or Open Source Computer Vision Library is an open-source and free to use library under the Apache 2.0 license. OpenCV is mainly used for computer vision, image processing, and machine learning tasks. The library was originally developed by Intel in 1999. OpenCV supports a variety of languages like C, Python, Java, etc., and can be used on Windows, Linux, Android, and Mac OS.

Indeed, we show that the typical linear resizer can be replaced with learned resizers that can substantially improve performance. Importantly, while the classical resizers typically result in better perceptual quality of the downscaled images, our proposed learned resizers do not necessarily give better visual quality, but instead improve task performance. Our learned image resizer is jointly trained with a baseline vision model. This learned CNN-based resizer creates machine friendly visual manipulations that lead to a consistent improvement of the end task metric over the baseline model. Specifically, here we focus on the classification task with the ImageNet dataset, and experiment with four different models to learn resizers adapted to each model.