https://bugs.kde.org/show_bug.cgi?id=430996
--- Comment #20 from caulier.gil...@gmail.com --- Yolo is a data model to detect and recognition faces. It's not algorithms. These last one are in OpenCV libraries, and is not dependent of the data model. The OpenCL options are for OpenCV for special use cases. This depend also of hardware in video cards and proprietary drivers (or not). From my point of view as long time developer, this a hell to manage. All combinations between hardware and software versions can make a mess. And also this depend of the operating system, and i'm sure that under Linux, the quality of these combinations are poor. This is why this OpenCL option exists. We pass the boolean to OpenCV libraries which turn on/off the acceleration codes. we don't have any other control. This is why i hate the hardware acceleration in general, because this make the target application unstable and very hard to stabilize/optimize. I use also a recent NVIDIA video card on my linux desktop, and i don't see any speed improvement while scanning huge collection. But in opposite of you, i never reproduce the huge memory allocation while face scanning. And we recieve already few reports about this problem and it's a long story to try to hack this. Best regards and happy new year Gilles Caulier -- You are receiving this mail because: You are watching all bug changes.
