Skip to content
/ Tiny-Face-Recognition Public
forked from Ecohnoch/Tiny-Face-Recognition

Extract a complete process from insightface_tf to do face recognition and verification.

0 stars 3 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

sunruina2/Tiny-Face-Recognition

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
.gitignore
.gitignore
 
 
README.md
README.md
 
 
dataset.py
dataset.py
 
 
eval_veri.py
eval_veri.py
 
 
eval_veri.sh
eval_veri.sh
 
 
loss.py
loss.py
 
 
mx2tfrecords.py
mx2tfrecords.py
 
 
requirement.txt
requirement.txt
 
 
resnet101.py
resnet101.py
 
 
resnet50.py
resnet50.py
 
 
train.py
train.py
 
 
train.sh
train.sh
 
 
verification.py
verification.py
 
 

Repository files navigation

Tiny-Face-Recognition

Extract an complete process from insightface_tf to do face recognition and verification using pure TensorFlow.

Dataset

Training and Testing Dataset Download Website: Baidu

Contains:

  • train.rec/train.idx : Main training data
  • *.bin : varification data

Examples

Make TFRecords File:

$ python3 mx2tfrecords.py --bin_path '/Users/finup/Desktop/faces_emore/train.rec' --idx_path '/Users/finup/Desktop/faces_emore/train.idx' --tfrecords_file_path '/Users/finup/Desktop/faces_emore/tfrecords'

Train:

python3 train.py --tfrecords '/home/sunruina/face_recognition/data_set/ms_celeb_arcpaper_tfrecords/tran.tfrecords' --batch_size 64 --num_classes 85742 --ckpt_save_dir '/home/sunruina/face_recognition/data_set/ms_celeb_arcpaper_tfrecords/face_real403_ckpt' --epoch 10000

Test:

$ python3 eval_veri.py --datasets '/Users/finup/Desktop/faces_emore/cfp_fp.bin' --dataset_name 'cfp_fp' --num_classes 85742 --ckpt_restore_dir '/Users/finup/Desktop/faces_emore/Face_vox_iter_78900.ckpt'

Results

Datasets backbone loss steps batch_size acc
lfw resnet50 ArcFace 78900 64 0.9903
cfp_ff resnet50 ArcFace 78900 64 0.9847
cfp_fp resnet50 ArcFace 78900 64 0.8797
agedb_30 resnet50 ArcFace 78900 64 0.8991

Limited by the training time, so I just release the half-epoch training results temporarily. The model will be optimized later.

References

  1. InsightFace_TF
  2. InsightFace_MxNet
@inproceedings{deng2018arcface,
title={ArcFace: Additive Angular Margin Loss for Deep Face Recognition},
author={Deng, Jiankang and Guo, Jia and Niannan, Xue and Zafeiriou, Stefanos},
booktitle={CVPR},
year={2019}
}

<tf.Tensor 'gradients/conv1_1/3x3_s1/Conv2D_grad/tuple/control_dependency_1:0' shape=(7, 7, 3, 64) dtype=float32>, <tf.Variable 'conv1_1/3x3_s1/kernel:0' shape=(7, 7, 3, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn1_1/3x3_s1/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn1_1/3x3_s1/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn1_1/3x3_s1/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn1_1/3x3_s1/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1a_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 64, 64) dtype=float32>, <tf.Variable 'conv2_1a_1x1_reduce/kernel:0' shape=(1, 1, 64, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1a_1x1_reduce/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1a_1x1_reduce/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1a_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 64, 64) dtype=float32>, <tf.Variable 'conv2_1a_3x3/kernel:0' shape=(3, 3, 64, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1a_3x3/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1a_3x3/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1a_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 64, 256) dtype=float32>, <tf.Variable 'conv2_1a_1x1_increase/kernel:0' shape=(1, 1, 64, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1a_1x1_increase/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1a_1x1_increase/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1a_1x1_shortcut/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 64, 256) dtype=float32>, <tf.Variable 'conv2_1a_1x1_shortcut/kernel:0' shape=(1, 1, 64, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_1x1_shortcut/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1a_1x1_shortcut/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1a_1x1_shortcut/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1a_1x1_shortcut/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1b_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 64) dtype=float32>, <tf.Variable 'conv2_1b_1x1_reduce/kernel:0' shape=(1, 1, 256, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1b_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1b_1x1_reduce/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1b_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1b_1x1_reduce/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1b_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 64, 64) dtype=float32>, <tf.Variable 'conv2_1b_3x3/kernel:0' shape=(3, 3, 64, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1b_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1b_3x3/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1b_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1b_3x3/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1b_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 64, 256) dtype=float32>, <tf.Variable 'conv2_1b_1x1_increase/kernel:0' shape=(1, 1, 64, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1b_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1b_1x1_increase/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1b_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1b_1x1_increase/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1c_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 64) dtype=float32>, <tf.Variable 'conv2_1c_1x1_reduce/kernel:0' shape=(1, 1, 256, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1c_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1c_1x1_reduce/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1c_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1c_1x1_reduce/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1c_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 64, 64) dtype=float32>, <tf.Variable 'conv2_1c_3x3/kernel:0' shape=(3, 3, 64, 64) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1c_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1c_3x3/gamma:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1c_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(64,) dtype=float32>, <tf.Variable 'bn2_1c_3x3/beta:0' shape=(64,) dtype=float32_ref>

<tf.Tensor 'gradients/conv2_1c_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 64, 256) dtype=float32>, <tf.Variable 'conv2_1c_1x1_increase/kernel:0' shape=(1, 1, 64, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1c_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1c_1x1_increase/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn2_1c_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn2_1c_1x1_increase/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2a_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 128) dtype=float32>, <tf.Variable 'conv3_2a_1x1_reduce/kernel:0' shape=(1, 1, 256, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2a_1x1_reduce/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2a_1x1_reduce/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2a_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 128, 128) dtype=float32>, <tf.Variable 'conv3_2a_3x3/kernel:0' shape=(3, 3, 128, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2a_3x3/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2a_3x3/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2a_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 128, 512) dtype=float32>, <tf.Variable 'conv3_2a_1x1_increase/kernel:0' shape=(1, 1, 128, 512) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2a_1x1_increase/gamma:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2a_1x1_increase/beta:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2a_1x1_shortcut/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 512) dtype=float32>, <tf.Variable 'conv3_2a_1x1_shortcut/kernel:0' shape=(1, 1, 256, 512) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_1x1_shortcut/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2a_1x1_shortcut/gamma:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2a_1x1_shortcut/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2a_1x1_shortcut/beta:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2b_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 512, 128) dtype=float32>, <tf.Variable 'conv3_2b_1x1_reduce/kernel:0' shape=(1, 1, 512, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2b_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2b_1x1_reduce/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2b_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2b_1x1_reduce/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2b_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 128, 128) dtype=float32>, <tf.Variable 'conv3_2b_3x3/kernel:0' shape=(3, 3, 128, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2b_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2b_3x3/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2b_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2b_3x3/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2b_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 128, 512) dtype=float32>, <tf.Variable 'conv3_2b_1x1_increase/kernel:0' shape=(1, 1, 128, 512) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2b_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2b_1x1_increase/gamma:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2b_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2b_1x1_increase/beta:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2c_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 512, 128) dtype=float32>, <tf.Variable 'conv3_2c_1x1_reduce/kernel:0' shape=(1, 1, 512, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2c_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2c_1x1_reduce/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2c_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2c_1x1_reduce/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2c_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 128, 128) dtype=float32>, <tf.Variable 'conv3_2c_3x3/kernel:0' shape=(3, 3, 128, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2c_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2c_3x3/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2c_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2c_3x3/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2c_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 128, 512) dtype=float32>, <tf.Variable 'conv3_2c_1x1_increase/kernel:0' shape=(1, 1, 128, 512) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2c_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2c_1x1_increase/gamma:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2c_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2c_1x1_increase/beta:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2d_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 512, 128) dtype=float32>, <tf.Variable 'conv3_2d_1x1_reduce/kernel:0' shape=(1, 1, 512, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2d_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2d_1x1_reduce/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2d_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2d_1x1_reduce/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2d_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 128, 128) dtype=float32>, <tf.Variable 'conv3_2d_3x3/kernel:0' shape=(3, 3, 128, 128) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2d_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2d_3x3/gamma:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2d_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(128,) dtype=float32>, <tf.Variable 'bn3_2d_3x3/beta:0' shape=(128,) dtype=float32_ref>

<tf.Tensor 'gradients/conv3_2d_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 128, 512) dtype=float32>, <tf.Variable 'conv3_2d_1x1_increase/kernel:0' shape=(1, 1, 128, 512) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2d_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2d_1x1_increase/gamma:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/bn3_2d_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(512,) dtype=float32>, <tf.Variable 'bn3_2d_1x1_increase/beta:0' shape=(512,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3a_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 512, 256) dtype=float32>, <tf.Variable 'conv4_3a_1x1_reduce/kernel:0' shape=(1, 1, 512, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3a_1x1_reduce/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3a_1x1_reduce/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3a_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 256, 256) dtype=float32>, <tf.Variable 'conv4_3a_3x3/kernel:0' shape=(3, 3, 256, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3a_3x3/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3a_3x3/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3a_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 1024) dtype=float32>, <tf.Variable 'conv4_3a_1x1_increase/kernel:0' shape=(1, 1, 256, 1024) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(1024,) dtype=float32>, <tf.Variable 'bn4_3a_1x1_increase/gamma:0' shape=(1024,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(1024,) dtype=float32>, <tf.Variable 'bn4_3a_1x1_increase/beta:0' shape=(1024,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3a_1x1_shortcut/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 512, 1024) dtype=float32>, <tf.Variable 'conv4_3a_1x1_shortcut/kernel:0' shape=(1, 1, 512, 1024) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_1x1_shortcut/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(1024,) dtype=float32>, <tf.Variable 'bn4_3a_1x1_shortcut/gamma:0' shape=(1024,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3a_1x1_shortcut/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(1024,) dtype=float32>, <tf.Variable 'bn4_3a_1x1_shortcut/beta:0' shape=(1024,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3b_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 1024, 256) dtype=float32>, <tf.Variable 'conv4_3b_1x1_reduce/kernel:0' shape=(1, 1, 1024, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3b_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3b_1x1_reduce/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3b_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3b_1x1_reduce/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3b_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 256, 256) dtype=float32>, <tf.Variable 'conv4_3b_3x3/kernel:0' shape=(3, 3, 256, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3b_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3b_3x3/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3b_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3b_3x3/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3b_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 1024) dtype=float32>, <tf.Variable 'conv4_3b_1x1_increase/kernel:0' shape=(1, 1, 256, 1024) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3b_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(1024,) dtype=float32>, <tf.Variable 'bn4_3b_1x1_increase/gamma:0' shape=(1024,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3b_1x1_increase/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(1024,) dtype=float32>, <tf.Variable 'bn4_3b_1x1_increase/beta:0' shape=(1024,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3c_1x1_reduce/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 1024, 256) dtype=float32>, <tf.Variable 'conv4_3c_1x1_reduce/kernel:0' shape=(1, 1, 1024, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3c_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3c_1x1_reduce/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3c_1x1_reduce/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3c_1x1_reduce/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3c_3x3/Conv2D_grad/tuple/control_dependency_1:0' shape=(3, 3, 256, 256) dtype=float32>, <tf.Variable 'conv4_3c_3x3/kernel:0' shape=(3, 3, 256, 256) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3c_3x3/FusedBatchNorm_grad/tuple/control_dependency_1:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3c_3x3/gamma:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/bn4_3c_3x3/FusedBatchNorm_grad/tuple/control_dependency_2:0' shape=(256,) dtype=float32>, <tf.Variable 'bn4_3c_3x3/beta:0' shape=(256,) dtype=float32_ref>

<tf.Tensor 'gradients/conv4_3c_1x1_increase/Conv2D_grad/tuple/control_dependency_1:0' shape=(1, 1, 256, 1024) dtype=float32>, <tf.Variable 'conv4_3c_1x1_increase/kernel:0' shape=(1, 1, 256, 1024) dtype=float32_ref>)

About

Extract a complete process from insightface_tf to do face recognition and verification.

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Languages

  • Python 98.9%
  • Shell 1.1%