https://docs.khadas.com/ 2026-05-05T15:30:06+00:00 https://docs.khadas.com/ https://docs.khadas.com/ttps://docs.khadas.com/lib/tpl/dokuwiki-new/images/favicon.ico text/html 2023-12-22T03:46:58+00:00 Anonymous (anonymous@undisclosed.example.com) https://docs.khadas.com/products/sbc/vim3/npu/ksnn/demos/start?rev=1703234818&do=diff vim3 ksnn npu demos KSNN NPU Demos demos index text/html 2025-04-23T22:35:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://docs.khadas.com/products/sbc/vim3/npu/ksnn/demos/yolov7_tiny?rev=1745462126&do=diff npu yolo ksnn vim3 YOLOv7-tiny KSNN Demo - 1 Introduction YOLOv7-Tiny is an object detection model. It uses bounding boxes to precisely draw each object in image. Inference results on VIM3. Inference speed test: USB camera about 200ms per frame. MIPI camera about text/html 2025-06-06T05:47:13+00:00 Anonymous (anonymous@undisclosed.example.com) https://docs.khadas.com/products/sbc/vim3/npu/ksnn/demos/yolov8n-pose?rev=1749203233&do=diff npu yolo ksnn vim3 YOLOv8n-Pose KSNN Demo - 8 Introduction YOLOv8n-Pose inherits the powerful object detection backbone and neck architecture of YOLOv8n. It extends the standard YOLOv8n object detection model by integrating dedicated pose estimation layers onto its head. This allows it to not only detect people (bboxes) but also simultaneously predict the spatial positions (keypoints) of their anatomical joints (e.g., shoulders, elbows, knees, ankles). text/html 2025-04-23T22:35:41+00:00 Anonymous (anonymous@undisclosed.example.com) https://docs.khadas.com/products/sbc/vim3/npu/ksnn/demos/yolov8n?rev=1745462141&do=diff npu yolo ksnn vim3 YOLOv8n KSNN Demo - 2 Introduction YOLOv8n is an object detection model. It uses bounding boxes to precisely draw each object in image. Inference results on VIM3. Inference speed test: USB camera about 182ms per frame. MIPI camera about 156ms