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--- products:sbc:vim4:npu:demos:vgg16 [2024/12/03 02:35]
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+++ products:sbc:vim4:npu:demos:vgg16 [2025/06/11 21:50] (current)
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@@ Line 6: / Line 6: @@
 {{indexmenu_n>4}}
+===== Introduction =====
+VGG16 is a classification model. It can assign a single label to an entire image.
+Image and inference results on VIM4.
+{{:products:sbc:vim4:npu:demos:airplane.webp?400|}}
+{{:products:sbc:vim4:npu:demos:vgg16-demo-output.webp?400|}}
 [[https://www.google.com/search?q=VGG16|VGG16]] is a convolution neural net architecture that’s used for image recognition. It utilizes 16 layers with weights and is considered one of the best vision model architectures to date.
@@ Line 32: / Line 42: @@
 ==== Get convert tool ====
-Download Tool from [[gl>khadas/vim4_npu_sdk]].
+Download Tool from [[gh>khadas/vim4_npu_sdk]].
 ```shell
 $ git lfs install
-$ git lfs clone https://gitlab.com/khadas/vim4_npu_sdk.git
+$ git lfs clone https://github.com/khadas/vim4_npu_sdk
 $ cd vim4_npu_sdk
 $ ls
@@ Line 47: / Line 57: @@
 <WRAP important>
-If your kernel is older than 241129, please use version before tag ddk-3.4.7.7.
+If your kernel is older than 241129, please use branch npu-ddk-1.7.5.5.
 </WRAP>
@@ Line 134: / Line 144: @@
 $ ./vgg16 -m ../data/vgg16_int8.adla -p ../data/airplane.jpeg
 ```
-{{:products:sbc:vim4:npu:demos:airplane.webp?400|}}
-{{:products:sbc:vim4:npu:demos:vgg16-demo-output.webp?400|}}
 <WRAP tip >

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