ZF/insightface
1
0
Fork 0
mirror of https://github.com/deepinsight/insightface.git synced 2025-12-30 08:02:27 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Jia Guo
2018-01-30 13:39:34 +08:00
committed by GitHub
parent 24c8b372ad
commit af4a4e8f5c
1 changed files with 15 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

17
README.md
View File

@@ -5,6 +5,8 @@
### Recent Update
**`2018.01.30`**: We provide a *LResNet50E-IR* model which can achieve **`99.80@LFW`**. See [Pretrained-Models](#pretrained-models) for detail.
**`2018.01.29`**: Caffe *LResNet34E-IR* model is available now. We get it by converting original MXNet model to Caffe format but there's some performance drop. See [Pretrained-Models](#pretrained-models) for detail.
**`2018.01.27`**: MS1M clean list now available at [here](https://pan.baidu.com/s/1eTn6O62). Aligned facescrub images(112x112) can be downloaded [here](https://pan.baidu.com/s/1ghcpIH9).
@@ -222,7 +224,18 @@ export MXNET_ENGINE_TYPE=ThreadedEnginePerDevice
4. Start to run megaface development kit to produce final result.
### Pretrained-Models
  1. [LResNet34E-IR@BaiduDrive](https://pan.baidu.com/s/1jKahEXw)
1. [LResNet50E-IR@BaiduDrive](https://pan.baidu.com/s/1mj6X7MK)
Performance:
| Method | LFW(%) | CFP-FF(%) | CFP-FP(%) | AgeDB-30(%) | MegaFace1M(%) |
| ------- | ------ | --------- | --------- | ----------- | ------------- |
| Ours | **99.80** | 99.83 | 92.74 | 97.76 | - |
You can use `$INSIGHTFACE/src/eval/verification.py` to test all validation accuracy by pretrained models.
  2. [LResNet34E-IR@BaiduDrive](https://pan.baidu.com/s/1jKahEXw)
Performance:
@@ -230,7 +243,7 @@ export MXNET_ENGINE_TYPE=ThreadedEnginePerDevice
| ------- | ------ | --------- | --------- | ----------- | ------------- |
| Ours | 99.65 | 99.77 | 92.12 | 97.70 | **96.70** |
2. **`Caffe`** [LResNet34E-IR@BaiduDrive](https://pan.baidu.com/s/1bpRsvYR), got by converting above MXNet model.
3. **`Caffe`** [LResNet34E-IR@BaiduDrive](https://pan.baidu.com/s/1bpRsvYR), got by converting above MXNet model.
Performance: