retinafaceAntiCov

RetinaFaceAntiCov

The mxnet implementation is deepinsight/insightface/RetinaFaceAntiCov.

Run

1. generate retinafaceAntiCov.wts from mxnet implementation.

git clone https://github.com/deepinsight/insightface.git
cd insightface/RetinaFaceAntiCov
// download its weights 'cov2.zip', put it into insightface/RetinaFaceAntiCov, and unzip it
// put tensorrtx/retinafaceAntiCov/gen_wts.py into insightface/RetinaFaceAntiCov
python gen_wts.py
// a file 'retinafaceAntiCov.wts' will be generated.

2. put retinafaceAntiCov.wts into tensorrtx/retinafaceAntiCov, build and run

git clone https://github.com/wang-xinyu/tensorrtx.git
cd tensorrtx/retinafaceAntiCov
// put retinafaceAntiCov.wts here
mkdir build
cd build
cmake ..
make
sudo ./retinafaceAntiCov -s  // build and serialize model to file i.e. 'retinafaceAntiCov.engine'
wget http://www.kaixian.tv/gd/d/file/201611/07/23efff3a26e2385620e719378c654fb1.jpg -O test.jpg
sudo ./retinafaceAntiCov -d  // deserialize model file and run inference.

3. check the image generated, as follows 'out.jpg'

Config

• Input shape INPUT_H, INPUT_W defined in decode.h
• FP16/FP32 can be selected by the macro USE_FP16 in retinafaceAntiCov.cpp
• GPU id can be selected by the macro DEVICE in retinafaceAntiCov.cpp

More Information

See the readme in home page.