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MobileNetV2_YOLOV3 for ncnn framework
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MobiYO.cbp Code::Blocks project file Sep 11, 2019
MobiYO.cpp C++ example file Sep 11, 2019
README.md Update README.md Sep 14, 2019
dog.jpg Famous YOLO example image Sep 11, 2019
mobilenet_yolov3.bin ncnn network weight file Sep 11, 2019
mobilenet_yolov3.param ncnn topology script Sep 11, 2019

README.md

MobileNetV2_YOLOV3 for the ncnn framework

Papers
https://ai.googleblog.com/2018/04/mobilenetv2-next-generation-of-on.html
https://arxiv.org/pdf/1506.02640.pdf
Training set: VOC2007
Size: 352x352
Prediction time: 335 mSec (RPi 4)

Special made for a bare Raspberry Pi see: https://qengineering.eu/opencv-c-examples-on-raspberry-pi.html

To extract and run the network in Code::Blocks
$ mkdir MyDir
$ cd MyDir
$ wget https://github.com/Qengineering/MobileNetV2_YOLOV3_ncnn/archive/master.zip
$ unzip -j master.zip
Remove master.zip and README.md as they are no longer needed.
$ rm master.zip
$ rm README.md

Your MyDir folder must now look like this:
dog.jpg
mobilenet_yolov3.bin
mobilenet_yolov3.param
MobiYO.cpb
MobiYO.cpp

Run MobiYO.cpb with Code::Blocks. Remember, you also need a working OpenCV 4 on your Raspberry.

output image

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