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PelleeNet SSD for ncnn framework
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Pelee.cbp
README.md
mumbai.jpg
pelee.bin
pelee.param
peleenetssd_seg.cpp

README.md

PelleeNet_SSD for the ncnn framework

Papers
https://arxiv.org/pdf/1804.06882.pdf
Training set: VOC2007
Size: 304x304
Prediction time: 300 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/PelleeNet_SSD/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:
mumbai.jpg
pelee.bin
pelee.param
Pelee.cpb
peleenetssd_seg.cpp

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

output image

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