From fec2bf0b28c96aba9a4eacbae32fabdebd6bee94 Mon Sep 17 00:00:00 2001 From: Jia Guo Date: Tue, 30 Mar 2021 19:06:51 +0800 Subject: [PATCH] Update README.md --- challenges/iccv19-lfr/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/challenges/iccv19-lfr/README.md b/challenges/iccv19-lfr/README.md index 3052ecf..633b0df 100644 --- a/challenges/iccv19-lfr/README.md +++ b/challenges/iccv19-lfr/README.md @@ -55,7 +55,7 @@ https://join.slack.com/t/insightface/shared_invite/enQtNjU0NDk2MjYyMTMzLTIzNDEwN **Training:** -1. Download ms1m-retinaface from [baiducloud](https://pan.baidu.com/s/1rQxJ3drqm_071vpxBtp98A) or [dropbox](https://www.dropbox.com/s/ev5ezzcz79p2hge/ms1m-retinaface-t1.zip?dl=0) and unzip it to `$INSIGHTFACE_ROOT/datasets/` +1. Download ms1m-retinaface from [baiducloud](https://pan.baidu.com/s/14z7qbi0K8aAYDcgT4ArnWg)(code:4ouw) or [dropbox](https://www.dropbox.com/s/ev5ezzcz79p2hge/ms1m-retinaface-t1.zip?dl=0) and unzip it to `$INSIGHTFACE_ROOT/datasets/` 2. Go into `$INSIGHTFACE_ROOT/recognition/` 3. Refer to the `retina` dataset configuration section in `sample_config.py` and copy it as your own configuration file `config.py`. 4. Start training with `CUDA_VISIBLE_DEVICES='0,1,2,3' python -u train.py --dataset retina --network [your-network] --loss arcface`. It will output the accuracy of lfw, cfp_fp and agedb_30 every 2000 batches by default.