OpenCV 4.1.2 11 Oct 2019An open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. minor feature: Connected Component Labeling for GPGPU 1.1Connected Component Labeling (CCL) is a well known technique for assigning a unique label to each of connected components in a given binary image. In this project, libraries that implement a parallel CCL algorithm that is suitable for execution on GPGPU are provided. In the archive, an implementation in OpenCL and C that is usable in combination with OpenCV library, a single-threaded vectorized CPU implementation that utilizes AVX2 instructions, and a Java implementation that is for helping undeDiffimg 2.2.0DiffImg computes pixel discrepancies between two image files and displays them as color mask or as yellow/red overlay. It also provides a dual panel display, can compute the mean error, RMS and min/max values, shows an error histogram, or display a slideshow for image directories. This allows for compression level comparisons, or optimizing raytracing parameters. |