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# Face detection demo |
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### A face object detection task demo. Running MobileNet-yolo on K210-based edge devices. |
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## Training |
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kmodel from [GitHub](https://github.com/kendryte/kendryte-standalone-demo/blob/develop/face_detect/detect.kmodel). |
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## Deployment |
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### compile and burn |
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Use `(scons --)menuconfig` in bsp folder *(Ubiquitous/RT_Thread/bsp/k210)*, open: |
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- More Drivers --> ov2640 driver |
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- Board Drivers Config --> Enable LCD on SPI0 |
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- Board Drivers Config --> Enable SDCARD (spi1(ss0)) |
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- Board Drivers Config --> Enable DVP(camera) |
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- RT-Thread Components --> POSIX layer and C standard library --> Enable pthreads APIs |
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- APP_Framework --> Framework --> support knowing framework --> kpu model postprocessing --> yolov2 region layer |
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- APP_Framework --> Applications --> knowing app --> enable apps/face detect |
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`scons -j(n)` to compile and burn in by *kflash*. |
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### json config and kmodel |
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Copy json config for deployment o SD card */kmodel*. Example config file is *detect.json* in this directory. Copy final kmodel to SD card */kmodel* either. |
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--- |
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## Run |
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In serial terminal, `face_detect` to start a detection thread, `face_detect_delete` to stop it. Detection results can be found in output. |
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