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products:sbc:vim3:npu:ksnn:ksnn-usage [2023/09/10 05:36]
hyphop 		products:sbc:vim3:npu:ksnn:ksnn-usage [2023/12/21 01:29]
louis
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 ====== KSNN Usage ====== ====== KSNN Usage ======
  
-This article shows VIM3 NPU usage examples through **KSSN** - Python API.+This article shows VIM3 NPU usage examples through **KSNN** - Python API.
  
 <WRAP help > <WRAP help >
-**KSSN** is [[https://github.com/khadas/ksnn#readme|Khadas Software Neural Network]]+**KSNN** is [[https://github.com/khadas/ksnn#readme|Khadas Software Neural Network]]
 </WRAP> </WRAP>
  
 ===== Install KSNN ===== ===== Install KSNN =====
  
-Get code: [[gh>khadas/ksnn]]+Get the library and example code: [[gh>khadas/ksnn]]
  
 ```shell ```shell
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 ``` ```
  
-Installation dependencies:+Install the dependencies:
  
 ```shell ```shell
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 --inputs input \ --inputs input \
 --outputs InceptionV3/Predictions/Reshape_1 \ --outputs InceptionV3/Predictions/Reshape_1 \
---mean-values '128,128,128,128' \+--mean-values '128 128 128 0.0078125' \
 --quantized-dtype asymmetric_affine \ --quantized-dtype asymmetric_affine \
 --kboard VIM3 --print-level 1 --kboard VIM3 --print-level 1
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 --inputs FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/batchnorm/mul_1 \ --inputs FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/batchnorm/mul_1 \
 --outputs "'concat concat_1'" \ --outputs "'concat concat_1'" \
---mean-values '127.5,127.5,127.5,127.5' \+--mean-values '127.5 127.5 127.5 0.0078431' \
 --quantized-dtype asymmetric_affine \ --quantized-dtype asymmetric_affine \
 --kboard VIM3 --print-level 1 --kboard VIM3 --print-level 1
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 ``` ```
  
-Run Inception V3:+Run ''inceptionv3.py'':
  
 ```shell ```shell
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 1. The Demos that currently support cameras include the Yolo series and OpenPose. Take Yolov3 as an example, 1. The Demos that currently support cameras include the Yolo series and OpenPose. Take Yolov3 as an example,
  
-```shell +```sh 
-$ cd ksnn/examples/darknet +cd ksnn/examples/darknet 
-$ python3 hand-cap.py --model ./models/VIM3/hand.nb --library ./libs/libnn_hand.so --device X+ 
 +python3 hand-cap.py --model ./models/VIM3/hand.nb \ 
 +  --library ./libs/libnn_hand.so --device X
 ``` ```
  
 2. Currently, the only demo that supports RTSP is the yolo series. Take Yolov3 as an example, 2. Currently, the only demo that supports RTSP is the yolo series. Take Yolov3 as an example,
  
-```shell +```sh 
-$ cd ksnn/examples/darknet +cd ksnn/examples/darknet 
-$ python3 flask-yolov3.py --model ./models/VIM3/yolov3.nb --library ./libs/libnn_yolov3.so --device X+ 
 +python3 flask-yolov3.py --model ./models/VIM3/yolov3.nb \ 
 +  --library ./libs/libnn_yolov3.so --device X
 ``` ```
  
Last modified: 2024/05/27 22:15 by louis

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