Pytorch人脸检测训练代码RetinaFace使用widerface数据集包含已训练模型

共270个文件

txt：236个

py：22个

mat：4个

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pytorch

人脸检测

retinaface

数据集

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Pytorch人脸检测训练代码 RetinaFace 使用widerface数据集包含已训练模型（270个子文件）

download 84B

wider_hard_val.mat 414KB

wider_medium_val.mat 403KB

wider_easy_val.mat 399KB

wider_face_val.mat 388KB

README.md 507B

LICENSE.MIT 1KB

mobilenet0.25_Final.pth 1.71MB

box_utils.py 13KB

test_widerface.py 9KB

evaluation.py 9KB

data_augment.py 7KB

detect.py 7KB

train.py 6KB

multibox_loss.py 5KB

retinaface.py 5KB

net.py 4KB

convert_to_onnx.py 3KB

wider_face.py 3KB

prior_box.py 1KB

timer.py 1KB

py_cpu_nms.py 1KB

config.py 930B

setup.py 328B

__init__.py 112B

__init__.py 68B

__init__.py 48B

__init__.py 0B

py_cpu_nms.cpython-37.pyc 907B

__init__.cpython-37.pyc 137B

box_overlaps.pyx 2KB

mobilenetV1X0.25_pretrain.tar 3.65MB

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# WiderFace-Evaluation Python Evaluation Code for [Wider Face Dataset](http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/) ## Usage ##### before evaluating .... ```` python3 setup.py build_ext --inplace ```` ##### evaluating **GroungTruth:** `wider_face_val.mat`, `wider_easy_val.mat`, `wider_medium_val.mat`,`wider_hard_val.mat` ```` python3 evaluation.py -p <your prediction dir> -g <groud truth dir> ```` ## Bugs & Problems please issue ## Acknowledgements some code borrowed from Sergey Karayev

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