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products:sbc:edge2:npu:demos:yolov7-tiny

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products:sbc:edge2:npu:demos:yolov7-tiny [2023/09/05 05:26]
louis 		products:sbc:edge2:npu:demos:yolov7-tiny [2023/09/20 04:08] (current)
hyphop [Compile and run]
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-~~tag> Yolov7 NPU Edge2 rk3855~~+~~tag> YOLO NPU Edge2 RK3588~~
  
-====== Demo1 - Yolov7 Tiny ======+====== YOLOv7-tiny Edge2 Demo - 1 ====== 
 + 
 +{{indexmenu_n>1}}
  
 ===== Train Model ===== ===== Train Model =====
  
-Download **yolov7** official codes. Refer ''README.md'' to train a **yolov7_tiny** model.+Download the YOLOv7 official code [[gh>WongKinYiu/yolov7]].
  
 ```shell ```shell
 $ git clone https://github.com/WongKinYiu/yolov7.git $ git clone https://github.com/WongKinYiu/yolov7.git
 ``` ```
 +
 +Refer ''README.md'' to create and train a YOLOv7 tiny model.
  
 ===== Convert Model ===== ===== Convert Model =====
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 ``` ```
  
-Install dependences and RKNN toolkit2 packages,+Install dependences and RKNN toolkit2 packages.
  
 ```shell ```shell
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 ==== Convert ==== ==== Convert ====
  
-After training model, run ''export.py'' to convert model from **pt** to **onnx**.+After training model, run ''export.py'' to convert model from **PT** to **ONNX**.
  
 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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 ``` ```
  
-Run ''test.py'' to generate rknn model.+Run ''test.py'' to generate RKNN model.
  
 ```shell ```shell
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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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 <WRAP info > <WRAP info >
-''33'' is camera device index+''33'' is camera device index.
 </WRAP> </WRAP>
  
  
 <WRAP tip > <WRAP tip >
-If your **yolov7_tiny** model classes is not the same as **coco**, please change ''data/coco_80_labels_list.txt'' and the ''OBJ_CLASS_NUM'' in ''include/postprocess.h''.+If your **YOLOv7 tiny** model classes are not the same as **COCO**, please change ''data/coco_80_labels_list.txt'' and the ''OBJ_CLASS_NUM'' in ''include/postprocess.h''.
 </WRAP> </WRAP>
  
Last modified: 2023/09/05 05:26 by louis

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