~~tag> NPU RetinaFace FaceNet VIM4 ~~

====== Face Recognition VIM4 Demo - 7 ======

{{indexmenu_n>7}}

<WRAP important >
This demo integrates RetinaFace and FaceNet. Please refer [[retinaface]] and [[facenet]] to convert model. Here only run inference on the NPU.
</WRAP>

===== Run inference on the NPU =====

==== Get source code ====

Clone the source code from our [[gh>khadas/vim4_npu_applications]].

```shell
$ git clone https://github.com/khadas/vim4_npu_applications
```

==== Install dependencies ====

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

==== Compile and run ====

=== Picture input demo ===

Like facenet, there are also two modes of this demo. One is converting face images into feature vectors and saving vectors in the face library. Another is comparing input face image with faces in the library and outputting Euclidean distance and cosine similarity.

Put ''retinaface_int8.adla'' and ''facenet_int8.adla'' in ''vim4_npu_applications/face_recognition/data/model''.

```shell
# Compile
$ cd vim4_npu_applications/face_recognition
$ mkdir build
$ cd build
$ cmake ..
$ make

# Run mode 1
$ sudo ./face_recognition -M ../data/model/retinaface_int8.adla -m ../data/model/facenet_int8.adla -p 1
```

After running mode 1, a file named ''face_feature_lib'' will generate in ''vim4_npu_applications/face_recognition''. With this file generated, you can run mode 2.

```shell
# Run mode 2
$ sudo ./face_recognition -M ../data/model/retinaface_int8.adla -m ../data/model/facenet_int8.adla -p ../data/img/lin_2.jpg
```

=== Camera input demo ===

Put ''retinaface_int8.adla'' and ''facenet_int8.adla'' in ''vim4_npu_applications/face_recognition_cap/data/model''.

Put your full face photo into the ''vim4_npu_applications/face_recognition/data/img'' and run mode 1 to generate ''face_feature_lib''. Put ''face_feature_lib'' in ''vim4_npu_applications/face_recognition_cap''.

```shell
# Compile
$ cd vim4_npu_applications/face_recognition_cap
$ mkdir build
$ cd build
$ cmake ..
$ make

# Run
$ sudo ./face_recognition_cap -M ../data/model/retinaface_int8.adla -m ../data/model/facenet_int8.adla -d 0
```

''0'' is the camera device index.