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products:sbc:vim4:npu:demos:vgg16

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products:sbc:vim4:npu:demos:vgg16 [2024/10/28 21:11]
louis 		products:sbc:vim4:npu:demos:vgg16 [2025/06/11 21:50] (current)
louis
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 ~~tag>NPU VGG16 VIM4 Tensorflow Keras ~~ ~~tag>NPU VGG16 VIM4 Tensorflow Keras ~~
 +
 +**Doc for version ddk-3.4.7.7**
  
 ====== VGG16 TensorFlow Keras VIM4 Demo 4 ====== ====== VGG16 TensorFlow Keras VIM4 Demo 4 ======
  
 {{indexmenu_n>4}} {{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. [[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.
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 ``` ```
  
-===== Get Convert Tool =====+==== Get convert tool ==== 
 + 
 +Download Tool from [[gh>khadas/vim4_npu_sdk]].
  
 ```shell ```shell
 $ git lfs install $ 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 $ cd vim4_npu_sdk
 $ ls $ ls
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   * ''adla-toolkit-binary/demo'' - Conversion examples   * ''adla-toolkit-binary/demo'' - Conversion examples
  
-==== Get convert tool ==== +<WRAP important> 
- +If your kernel is older than 241129, please use branch npu-ddk-1.7.5.5. 
-Download Tool from [[gl>khadas/vim4_npu_sdk]]. +</WRAP>
- +
-```shell +
-$ git clone https://gitlab.com/khadas/vim4_npu_sdk +
-```+
  
 ==== Convert ==== ==== Convert ====
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         --quantize-dtype int8 --outdir tensorflow_output \         --quantize-dtype int8 --outdir tensorflow_output \
         --channel-mean-value "0,0,0,255" \         --channel-mean-value "0,0,0,255" \
 +        --inference-input-type "float32" \
 +        --inference-output-type "float32" \
         --source-file vgg16_dataset.txt \         --source-file vgg16_dataset.txt \
         --iterations 500 \         --iterations 500 \
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 $ git clone https://github.com/khadas/vim4_npu_applications $ git clone https://github.com/khadas/vim4_npu_applications
 ``` ```
 +
 +<WRAP important>
 +If your kernel is older than 241129, please use version before tag ddk-3.4.7.7.
 +</WRAP>
  
 ==== Install dependencies ==== ==== Install dependencies ====
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 # Run # Run
-$ sudo ./vgg16 -m ../data/vgg16_int8.adla -p ../data/airplane.jpeg+$ ./vgg16 -m ../data/vgg16_int8.adla -p ../data/airplane.jpeg
 ``` ```
  
Last modified: 2024/10/28 21:11 by louis

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