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products:sbc:vim3:npu:npu-prebuilt-demo-usage [2023/09/11 09:23]
sravan 		products:sbc:vim3:npu:npu-prebuilt-demo-usage [2023/09/11 09:58] (current)
hyphop
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 ===== Get NPU Demo ===== ===== Get NPU Demo =====
  
 +/*
 <WRAP important > <WRAP important >
 The NPU Demo is not installed on the board by default. You need to download it from GitHub first. The NPU Demo is not installed on the board by default. You need to download it from GitHub first.
 </WRAP> </WRAP>
 +*/
  
 Get the demo source: [[gh>khadas/aml_npu_demo_binaries]] Get the demo source: [[gh>khadas/aml_npu_demo_binaries]]
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 The NPU demo contains three examples: The NPU demo contains three examples:
  
-  - ''detect_demo'': A collection of yolo series models for camera dynamic recognition. +  - ''detect_demo'' - A collection of ''yolo'' series models for camera dynamic recognition. 
-  - ''detect_demo_picture'': A collection of yolo series models that identify pictures. +  - ''detect_demo_picture'' - A collection of ''yolo'' series models that identify pictures. 
-  - ''inceptionv3'': Identify the inception model of the picture.+  - ''inceptionv3'' -  Identify the inception model of the picture.
  
 ===== Inception Model ===== ===== Inception Model =====
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 <WRAP Info>   <WRAP Info>  
      
-By querying ''imagenet_slim_labels.txt'', the result is a goldfish, which is also correctly identified.You can use the method above to identify other images.+By querying ''imagenet_slim_labels.txt'', the result is a goldfish, which is also correctly identified. You can use the method above to identify other images.
  
 </WRAP> </WRAP>
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 <WRAP important > <WRAP important >
-The type parameter is an input parameter that must be selected whether it is to use camera dynamic recognition or to recognize pictures. This parameter is mainly used to specify the running yolo series model.+The type parameter is an input parameter that must be selected whether it is to use camera dynamic recognition or to recognize pictures. This parameter is mainly used to specify the running YOLO series model.
 </WRAP> </WRAP>
  
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 ``` ```
  
-Here is an example of using OpenCV4 to call the yolov3 model to recognize pictures under ''x11''.+Here is an example of using OpenCV4 to call the ''yolov3'' model to recognize pictures under ''x11''.
  
 ```shell ```shell
Last modified: 2023/09/11 09:23 by sravan

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