ZF/insightface
1
0
Fork 0
mirror of https://github.com/deepinsight/insightface.git synced 2026-05-14 20:35:30 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Jia Guo
2021-03-30 19:06:51 +08:00
committed by GitHub
parent 558b6017f4
commit fec2bf0b28
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
challenges/iccv19-lfr/README.md
View File

@@ -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.