► 目标检测 (OD):模型:ST SSD MobileNet v1、Tiny YOLO v2、SSD MobileNet v2 fpn lite、ST Yolo LC v1。 ► 人类活动识别 (HAR):模型:不同设置下的CNN IGN和CNN GMP。 ► 音频事件检测 (AED):模型:Yamnet、MiniResnet、MiniResnet v2。 ► 手势识别 (HPR):模型:ST CNN 2D Hand Posture。
* Models: ST SSD MobileNet v1, Tiny YOLO v2, SSD MobileNet v2 fpn lite, ST Yolo LC v1. * Deployment: getting started application * On [STM32H747I-DISCO](stm32ai_application_code/object_detection/Application/STM32H747I-DISCO) with B-CAMS-OMV @@ -52,7 +60,7 @@ to train and de...
YOLOLEO / st-gcn YoungBigBird1985 / st-gcn youngflyasd / st-gcn YQvQY / st-gcn yueyedeai / st-gcn yurkar2333 / st-gcn yutonamba / st-gcn yyy0921 / st-gcn ZAYN123456 / st-gcn ZDL-Git / st-gcn zf223669 / st-gcn zhang-xiang925 / st-gcn zhang405744522 / ...
►Object detection (OD): Models: ST SSD MobileNet v1, Tiny YOLO v2, SSD MobileNet v2 fpn lite, ST Yolo LC v1. ►Human activity recognition (HAR): Models: CNN IGN, and CNN GMP for different settings. ►Audio event detection (AED): Models: Yamnet, MiniResnet, MiniResnet v2. ...
l-%*VK5HW)LJ)|O*REOADtaxQ2{TvJnphSmY6cmit!S&%kGwS4fmMW2 zWyg|m#`sO#AXH?z2&mX^=xW9b0!e~zD1kiM5~%|&4_k_d1XV}0iZuMV*{~{0;P`y| z!E)kRFfjrMvJ^X>p8YT(ipV5S6-bCV8X*%B3eOM$DI9s5AU3|^lCYvy yXC0XsWgU>oUz}Ydq!Rz;UQ1$pL>;eH zlmg3eQ0BVp&|lZKCOV`=q=||n{XU...
The detection of fiducial marks was carried out automatically with custom YOLO-based object detection models. Likewise, the LoFTR-detected features and YOLO-detected marks were matched across modalities via brute-force and nearest neighbors matching, followed by RANSAC estimation of the transformation ...