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a demo to detect face

License

Apache-2.0, MIT licenses found

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Apache-2.0
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MIT
LICENSE.MIT
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tslgithub/faceDetector

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RetinaFace in PyTorch

support

run on ubuntu20, ubuntu18, python3

Installation

sudo apt-get install python3-pip3
pip3 install -r requirements.txt

download weight

https://drive.usercontent.google.com/download?id=14KX6VqF69MdSPk3Tr9PlDYbq7ArpdNUW&export=download&authuser=0&confirm=t&uuid=1c047ae2-05e4-4f33-b66e-e0d73a711f5b&at=APZUnTWD5sWebJKA6TbMpsDvAHFJ:1700533565125

  • save the weight in folder named weigths

run script

python3 script.py  images/
python3 script.py  images/1.jpg
  • use defaults vis_thres is 0.6
  • result will be saved in folder named result

evaluation

  1. download the val images in https://drive.google.com/file/d/1GUCogbp16PMGa39thoMMeWxp7Rp5oM8Q/view

  2. unzip the WIDER_val.zip

  3. download the val annotation label in http://shuoyang1213.me/WIDERFACE/support/bbx_annotation/wider_face_split.zip

  4. unzip wider_face_split.zip in folder of WIDER_val, and rename wider_face_split as annotation

python3 metric.py         # use default iou_thres=0.5
python3 metric.py  0.7    # use  iou_thres=0.7
  • 0.7 means iou_thres=0.7, or defaults is 0.5
  • result will be saved in folder named result

unit test

  1. download test dataset in https://drive.google.com/file/d/1HIfDbVEWKmsYKJZm4lchTBDLW5N7dY5T/view
  2. unzip the test dataset
  3. run test:
python3 script.py WIDER_test/images/0--Parade
python3 script.py WIDER_test/images/1--Handshaking
...
...
...
python3 script.py WIDER_test/images/61--Street_Battle

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a demo to detect face

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License

Apache-2.0, MIT licenses found

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LICENSE
MIT
LICENSE.MIT

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