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products:sbc:edge2:npu:demos:yolov8n

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products:sbc:edge2:npu:demos:yolov8n [2023/09/19 21:54]
louis 		products:sbc:edge2:npu:demos:yolov8n [2025/06/24 06:02] (current)
louis
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 ~~tag> YOLO NPU Edge2 RK3588~~ ~~tag> YOLO NPU Edge2 RK3588~~
  
-====== YOLOv8n OpenCV VIM4 Demo - 2 ======+====== YOLOv8n OpenCV Edge2 Demo - 2 ======
  
-===== Get Source Code =====+{{indexmenu_n>2}} 
 + 
 +===== Introduction ===== 
 + 
 +YOLOv8n is an object detection model. It uses bounding boxes to precisely draw each object in image. 
 + 
 +Inference results on Edge2. 
 + 
 +{{:products:sbc:edge2:npu:demos:yolov8n-result.jpg?800|}} 
 + 
 +**Inference speed test**: USB camera about **52ms** per frame. MIPI camera about **40ms** per frame. 
 + 
 +===== Train Model =====
  
 Download YOLOv8 official code [[gh>ultralytics/ultralytics]] Download YOLOv8 official code [[gh>ultralytics/ultralytics]]
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 ``` ```
  
-Refer ''README.md'' to train a YOLOv8n model.+Refer ''README.md'' to train a YOLOv8n model. My version ''torch==1.10.1'' and ''ultralytics==8.0.86''.
  
 ===== Convert Model ===== ===== Convert Model =====
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 After training model, modify ''ultralytics/ultralytics/nn/modules/head.py'' as follows. After training model, modify ''ultralytics/ultralytics/nn/modules/head.py'' as follows.
  
-```diff+```diff head.py
 diff --git a/ultralytics/nn/modules/head.py b/ultralytics/nn/modules/head.py diff --git a/ultralytics/nn/modules/head.py b/ultralytics/nn/modules/head.py
 index 0b02eb3..0a6e43a 100644 index 0b02eb3..0a6e43a 100644
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 + +
 ``` ```
 +
 +<WRAP important>
 +If you pip-installed ultralytics package, you should modify in package.
 +</WRAP>
  
 Create a python file written as follows to export **onnx** model. Create a python file written as follows to export **onnx** model.
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 results = model.export(format="onnx") results = model.export(format="onnx")
 ``` ```
 +
 +<WRAP important>
 +Use [[https://netron.app/ | Netron]] to check your model output like this. If not, please check your ''head.py''.
 +
 +{{:products:sbc:edge2:npu:demos:yolov8n-edge2-output.png?600|}}
 +</WRAP>
  
 Enter ''rknn-toolkit2/examples/onnx/yolov5'' and modify ''test.py'' as follows. Enter ''rknn-toolkit2/examples/onnx/yolov5'' and modify ''test.py'' as follows.
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 ==== Get source code ==== ==== Get source code ====
  
-Clone the source code form our [[gh>khadas/edge2-npu]].+Clone the source code from our [[gh>khadas/edge2-npu]].
  
 ```shell ```shell
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 $ bash build.sh $ bash build.sh
  
-# Run+# Run USB camera 
 +$ cd install/yolov8n_cap 
 +$ ./yolov8n_cap data/model/yolov8n.rknn usb 60 
 + 
 +# Run MIPI camera 
 +$ cd install/yolov8n_cap 
 +$ ./yolov8n_cap data/model/yolov8n.rknn mipi 42 
 +``` 
 + 
 +<WRAP info > 
 +''60'' and ''42'' are camera device index. 
 +</WRAP> 
 + 
 +=== Camera input multithreading demo === 
 + 
 +Put ''yolov8n.rknn'' in ''edge2-npu/C++/yolov8n_cap_multithreading/data/model''. 
 + 
 +```shell 
 +# Compile 
 +$ bash build.sh 
 + 
 +# Run USB camera 
 +$ cd install/yolov8n_cap 
 +$ ./yolov8n_cap data/model/yolov8n.rknn usb 60 2 
 + 
 +# Run MIPI camera
 $ cd install/yolov8n_cap $ cd install/yolov8n_cap
-$ ./yolov8n_cap data/model/yolov8n_cap.rknn 33+$ ./yolov8n_cap data/model/yolov8n.rknn mipi 42 2
 ``` ```
  
 <WRAP info > <WRAP info >
-''33'' is camera device index.+The last num, ''2'', is the number of threads.
 </WRAP> </WRAP>
  
Last modified: 2023/09/19 21:54 by louis

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