readme modify

LICENSES.md

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README.md

@@ -11,7 +11,15 @@
 通过训练深度卷积神经网络嵌入 (DCNN Embedding) 来进行人脸识别。  
 ArcFace训练流程：  
 <div align=center>
+<<<<<<< HEAD
     <img src="yuanli.png"/>
+=======
+<<<<<<< HEAD
+    <img src="yuanli.png"/>
+=======
+    <img src="./docs/legend.png"/>
+>>>>>>> e9e2958 (arcface_pytorch_v2)
+>>>>>>> 0ed37c0 (readme modify)
 </div>  
 
 <div align=center>
@@ -91,18 +99,42 @@ Backbone使用ResNet100，在MS1MV3数据集上的预训练权重文件为[model
 
 ### 单机单卡
 ```
+<<<<<<< HEAD
+python train_v2.py configs/ms1mv2_r100
+=======
+<<<<<<< HEAD
 python train_v2.py configs/ms1mv2_r100
+=======
+python train_v2.py configs/ms1mv2_r100.py
+>>>>>>> e9e2958 (arcface_pytorch_v2)
+>>>>>>> 0ed37c0 (readme modify)
 ```
 
 ### 单机多卡
 ```
+<<<<<<< HEAD
 torchrun --nproc_per_node=4 train_v2.py configs/ms1mv2_r100
 ```
 ### 测试
+=======
+<<<<<<< HEAD
+torchrun --nproc_per_node=4 train_v2.py configs/ms1mv2_r100
+```
+### 测试
+=======
+torchrun --nproc_per_node=4 train_v2.py configs/ms1mv2_r100.py
+```
+## 测试
+>>>>>>> e9e2958 (arcface_pytorch_v2)
+>>>>>>> 0ed37c0 (readme modify)
 下载权重文件和测试数据集，测试模型精度：
 ```
 python eval_ijbc.py --model-prefix model.pt --image-path IJBC_ALL --network r100
 ```
+<<<<<<< HEAD
+=======
+<<<<<<< HEAD
+>>>>>>> 0ed37c0 (readme modify)
 ## result
 
 ### 精度
@@ -114,6 +146,24 @@ python eval_ijbc.py --model-prefix model.pt --image-path IJBC_ALL --network r100
 | [r50](https://pan.baidu.com/s/128GP5J-jWvNbQAAur68bHw?pwd=1234) | fp16 | 99.4854% |
 | [r100](https://pan.baidu.com/s/1cslUcKgv5dSrJtBp62J6Fw?pwd=1234) | fp16 | 99.5296% |
 | [r100](https://pan.baidu.com/s/1KRBAKFzJU2ZOqhVHe91N6A?pwd=1234) | fp32 | 99.5612% |
+<<<<<<< HEAD
+=======
+=======
+
+## result
+<div align=center>
+    <img src="./docs/ROC.png"/>
+</div>
+
+## 精度
+模型在MS1MV2数据集的测试指标：
+| 模型 | 数据类型 | AUC |
+| :------: | :------: | :------: |
+| [r34](https://pan.baidu.com/s/1LR0zm8AxwN2tZH55xQdzHw?pwd=1234) | fp16 | 99.5611% |
+| [r50](https://pan.baidu.com/s/128GP5J-jWvNbQAAur68bHw?pwd=1234) | fp16 | 99.5616% |
+| [r100](https://pan.baidu.com/s/1e4Qg2i6wqyBCcwgA-dA8xw?pwd=1234) | fp16 | 99.5767% |
+>>>>>>> e9e2958 (arcface_pytorch_v2)
+>>>>>>> 0ed37c0 (readme modify)
 
 
 ## 应用场景

requirement.txt

@@ -2,6 +2,10 @@ tensorboard
 easydict
 mxnet
 onnx
+<<<<<<< HEAD
+=======
+<<<<<<< HEAD
+>>>>>>> 0ed37c0 (readme modify)
 scipy==1.8.1 
 scikit-learn
 opencv-python
@@ -10,3 +14,13 @@ prettytable
 numpy==1.23.2
 pandas
 scikit-image==0.19.3
+<<<<<<< HEAD
+=======
+=======
+scipy==1.7.1 
+scikit-learn
+opencv-python
+menpo
+prettytable
+>>>>>>> e9e2958 (arcface_pytorch_v2)
+>>>>>>> 0ed37c0 (readme modify)