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~~tags>VIM4 NPU~~

**Doc for version ddk-3.4.7.7**

====== NPU Applications ======

{{indexmenu_n>1}}

<WRAP important >
Only **New VIM4** supports NPU, you can check the version of your VIM4 here: [[products:sbc:vim4:configurations:identify-version|]]
</WRAP>

===== Linux =====

<WRAP important >
Only supports OpenCV4.
</WRAP>

==== Get source code ====

You need to download the source code to your VIM4 board and compile on it.

Clone the NPU demo applications to somewhere, e.g. ''~/workspace'':

```shell
$ mkdir ~/workspace
$ cd ~/workspace
$ git clone https://github.com/khadas/vim4_npu_applications
$ cd vim4_npu_applications
$ ls
densenet_ctc  facenet  face_recognition  face_recognition_cap  retinaface  retinaface_cap  vgg16  yolov3  yolov3_cap  yolov7_tiny  yolov7_tiny_cap  yolov8n  yolov8n_cap
```
  * ''densenet_ctc'', ''facenet'', ''retinaface'', ''yolov3'', ''yolov7_tiny'', ''yolov8n'' - Different demo for VIM4 NPU.

<WRAP important>
Please use convert tool version tag ddk-3.4.7.7 or higher.
</WRAP>

==== Install dependences ====

```shell
$ sudo apt update
$ sudo apt install -y libopencv-dev python3-opencv cmake
```

==== Compile ====

Take ''yolov3'' as an example, other demos are the same.

```shell
$ cd yolov3
$ mkdir build && cd build
$ cmake ..
$ make
```

==== Run ====

=== Yolov3 ===

<WRAP important >
The demos of the Yolo series only support running under the desktop environment.
</WRAP>

<WRAP tip >
Before running, please compile the source code. The compilation method is same as ''Mobilenet V2''.
</WRAP>

Detect picture:

```shell
$ cd yolov3/build
$ ./yolov3 -p ../data/1080p.bmp  -m ../data/det_yolov3_int8.adla
```

{{:products:sbc:vim4:npu:vim4-yolov3-output.webp?1000|}}

Detection with camera:

```shell
$ cd yolov3_cap/build
$ ./yolov3_cap -m ../data/det_yolov3_int8.adla -d X -w 1920 -h 1080
```
**x**: the number for you camera device. such as ''/dev/video0'', ''x'' is ''0''.

===== Android =====

WIP:
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