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--- products:sbc:vim4:npu:demos:vgg16 [2025/01/08 22:07]
louis
+++ products:sbc:vim4:npu:demos:vgg16 [2026/04/02 02:46] (current)
nick
@@ 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]].
+You can find the SDK here: [[dl>products/vim4/tools/npu-sdk/]]
 ```shell
-$ git lfs install
+$ wget https://dl.khadas.com/products/vim4/tools/npu-sdk/vim4_npu_sdk-ddk-3.4.7.7-250508.tgz
-$ git lfs clone https://gitlab.com/khadas/vim4_npu_sdk.git
+$ tar xvzf vim4_npu_sdk-ddk-3.4.7.7-250508.tgz
-$ cd vim4_npu_sdk
+$ cd vim4_npu_sdk-ddk-3.4.7.7-250508
 $ ls
-adla-toolkit-binary  adla-toolkit-binary-1.2.0.9  convert-in-docker.sh  Dockerfile  docs  README.md
+adla-toolkit-binary  adla-toolkit-binary-3.1.7.4  convert-in-docker.sh  Dockerfile  docs  README.md
 ```
-  * ''adla-toolkit-binary/docs'' - SDK documentations
+  * ''docs'' - SDK documentations
   * ''adla-toolkit-binary/bin'' - SDK tools required for model conversion
   * ''adla-toolkit-binary/demo'' - Conversion examples
+  * ''adla-toolkit-binary/python'' - KSNN conversion examples
 <WRAP important>
@@ Line 134: / Line 145: @@
 $ ./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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