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--- products:sbc:vim4:npu:demos:yolov7-tiny [2023/09/18 01:57]
hyphop [Compile and run]
+++ products:sbc:vim4:npu:demos:yolov7-tiny [2024/05/31 03:36] (current)
louis
@@ Line 1: / Line 1: @@
 ~~tag> NPU YOLO OpenCV VIM4 ~~
-====== YOLOv7 Tiny VIM4 Demo - 1 ======
+====== YOLOv7-tiny VIM4 Demo - 1 ======
 {{indexmenu_n>1}}
@@ Line 40: / Line 40: @@
 ==== Convert ====
-After training model, modify ''yolov7/models/yolo.py'' as follows.
+After training the model, modify ''yolov7/models/yolo.py'' as follows.
 ```diff
@@ Line 57: / Line 57: @@
 ```
-Then, run ''export.py'' to convert model to ONNX.
+<WRAP important>
+yolo.py has many forward. Right place is class **IDetect** function **fuseforward**.
+</WRAP>
+Then, run ''export.py'' to convert the model to ONNX.
 ```shell
@@ Line 88: / Line 92: @@
 ```
-Run ''convert_adla.sh'' to generate VIM4 model. The converted model is ''xxx.adla'' in ''onnx_output''.
+Run ''convert_adla.sh'' to generate the VIM4 model. The converted model is ''xxx.adla'' in ''onnx_output''.
 ```shell
@@ Line 146: / Line 150: @@
 ```
-''0'' is camera device index.
+''0'' is the camera device index.
 <WRAP tip >
-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''.
+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>

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