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--- products:sbc:vim4:npu:demos:yolov8n [2025/01/08 22:04]
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+++ products:sbc:vim4:npu:demos:yolov8n [2025/06/12 05:39] (current)
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@@ Line 6: / Line 6: @@
 {{indexmenu_n>2}}
+===== Introduction =====
+YOLOv8n is an object detection model. It uses bounding boxes to precisely draw each object in image.
+Inference results on VIM4.
+{{:products:sbc:vim4:npu:demos:yolov8n-demo-output.webp?800|}}
+**Inference speed test**: USB camera about **150ms** per frame.
 ===== Get Source Code =====
@@ Line 30: / Line 41: @@
 ==== Get Model Conversion Tools ====
-Get source [[gl>khadas/vim4_npu_sdk]].
+Get source [[gh>khadas/vim4_npu_sdk]].
 ```shell
 $ git lfs install
-$ git lfs clone https://gitlab.com/khadas/vim4_npu_sdk.git
+$ git lfs clone https://github.com/khadas/vim4_npu_sdk
 $ cd vim4_npu_sdk
 $ ls
@@ Line 174: / Line 185: @@
 $ ./yolov8n -m ../data/yolov8n_int8.adla -p ../data/horses.jpg
 ```
-{{:products:sbc:vim4:npu:demos:yolov8n-demo-output.webp?800|}}
 === Camera input demo ===
@@ Line 190: / Line 199: @@
 # Run
-$ ./yolov8n_cap -m ../data/yolov8n_int8.adla -d 0
+$ ./yolov8n_cap -m ../data/yolov8n_int8.adla -t usb -d 0
 ```

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