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--- products:sbc:vim3:npu:ksnn:demos:yolov8n [2024/02/17 22:37]
louis
+++ products:sbc:vim3:npu:ksnn:demos:yolov8n [2024/02/22 05:19]
louis
@@ Line 13: / Line 13: @@
 ```
-Refer ''README.md'' to create and train a YOLOv8n model.
+Refer ''README.md'' to create and train a YOLOv8n model. My version ''torch==1.10.1'' and ''ultralytics==8.0.86''.
 ===== Convert the model =====
@@ Line 94: / Line 94: @@
             --quantized-dtype asymmetric_affine \
             --source-files ./data/dataset/dataset0.txt \
+            --batch-size 1 \
+            --iterations 1 \
             --kboard VIM3 --print-level 0
 ```
-If you use ''VIM3L'' , please use ''VIM3L'' to replace ''VIM3''.
+If you want to use more quantified images, please modify ''batch-size'' and ''iterations''. ''batch-size''×''iterations''=number of quantified images.
+If you use ''VIM3L'' , please use ''VIM3L'' to replace ''VIM3''.
 If run succeed, converted model and library will generate in ''outputs/yolov8n''.

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