From be3f7b3e0e635b56d903d845640b048247c41c90 Mon Sep 17 00:00:00 2001 From: Jia Guo Date: Tue, 2 Jul 2019 17:15:33 +0800 Subject: [PATCH] Update README.md --- RetinaFace/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/RetinaFace/README.md b/RetinaFace/README.md index 82a19019..7c787096 100644 --- a/RetinaFace/README.md +++ b/RetinaFace/README.md @@ -40,7 +40,7 @@ RetinaFace is a practical single-stage [SOTA](http://shuoyang1213.me/WIDERFACE/W Please check ``train.py`` for training. 1. Copy ``rcnn/sample_config.py`` to ``rcnn/config.py`` -2. Download pretrained models and put them into ``model/``. +2. Download ImageNet pretrained models and put them into ``model/``(these models are not for detection testing/inferencing but training and parameters initialization). ImageNet ResNet50 ([baidu cloud](https://pan.baidu.com/s/1WAkU9ZA_j-OmzO-sdk9whA) and [dropbox](https://www.dropbox.com/s/48b850vmnaaasfl/imagenet-resnet-50.zip?dl=0)). @@ -54,7 +54,7 @@ Before training, you can check the ``resnet`` network configuration (e.g. pretra Please check ``test.py`` for testing. -## Models +## RetinaFace Pretrained Models Pretrained Model: RetinaFace-R50 ([baidu cloud](https://pan.baidu.com/s/1C6nKq122gJxRhb37vK0_LQ) or [dropbox](https://www.dropbox.com/s/53ftnlarhyrpkg2/retinaface-R50.zip?dl=0)) is a medium size model with ResNet50 backbone. It can output face bounding boxes and five facial landmarks in a single forward pass.