ONNX* (Open Neural Network Exchange) importer has been further improved to support more topologies.
OpenCV DNN sample object_detection.py has been improved to fill in the right model parameters, so it’s much easier to use now.
G-API (Graph API) - super-efficient image processing pipeline engine has been integrated as opencv_gapi module
Fast QR code decoder, based on free QUirc (https://github.com/dlbeer/quirc) library has been integrated, so now we have a complete QR-code detection and decoding pipeline (that runs ~20-80FPS @ 640x480 resolution).
18 functions, over 60 kernels have been accelerated for AVX2 using “wide universal intrinsics.”
Kinect Fusion algorithm has been accelerated for iGPU, which resulted in ~3x speedup over parallel CPU version on high-resolution volume (512x512x512).
OpenCV4 Beta is out ! https://opencv.org/opencv-4-0-0-beta.html https://github.com/opencv/opencv/tree/4.0.0-beta
Updates: