Comments (7)
i use PFE_sphere64_msarcface_am and got the following lfw accuracy:
Euclidean (cosine) accuracy: 0.99717 threshold: 1.50062
MLS accuracy: 0.99833 threshold: -2435.03760
Not sure why MLS accuracy threshold is huge negative number.
I have a question of how to use PFE_sphere64_msarcface_am to do face recognition of 2 face images.
I know preprocessing, alignment and network.extract_feature(image) to obtain mu, sigma_sq.
How to use features of mu, sigma_sq to identify whether these 2 images beloging to the same person or not?
Thanks,
from probabilistic-face-embeddings.
I will upload one PFE model trained with this code.
from probabilistic-face-embeddings.
Thanks,
from probabilistic-face-embeddings.
I have uploaded more pre-trained models, including a better one which is trained on Ms-ArcFace.
from probabilistic-face-embeddings.
I will download both pretrained models and try them out.
Thanks,
from probabilistic-face-embeddings.
I can no longer evaluate the PFE_sphere64_msarcface_am pretrained model for lfw accuracy! Came across the error here:
157 print('Metagraph file: %s' % meta_file)
158 print('Checkpoint file: %s' % ckpt_file)
--> 159 saver = tf.compat.v1.train.import_meta_graph(meta_file, clear_devices=False, import_scope=scope)
160 saver.restore(self.sess, ckpt_file)
ValueError: Node 'gradients/UncertaintyModule/fc_log_sigma_sq/BatchNorm/cond/FusedBatchNorm_1_grad/FusedBatchNormGrad' has an _output_shapes attribute inconsistent with the GraphDef for output #3: Dimension 0 in both shapes must be equal, but are 0 and 512. Shapes are [0] and [512].
Kindly help! Thank you! :)
from probabilistic-face-embeddings.
@tanpengshi were you able to find any workaround for the same? Even I'm stuck at the same issue and unable to move forward
from probabilistic-face-embeddings.
Related Issues (16)
- Pre-Trained Model Licenses
- Why is loss rising HOT 10
- PFE-pytorch HOT 1
- Pytorch-PFE
- Pytorch-PFE
- Fuck PFE HOT 2
- ValueError: Dimension 0 in both shapes must be equal, but are 0 and 512 HOT 2
- Alignment Module
- "The name 'images:0' refers to a Tensor which does not exist. The operation, 'images', does not exist in the graph."
- "The name 'images:0' refers to a Tensor which does not exist. The operation, 'images', does not exist in the graph." HOT 1
- face comparison HOT 2
- Could you share the download link of IJB-A dataset?
- scale_and_shift function HOT 1
- Potential bug/issue in the loss function
- issues about IJB-A dataset HOT 1
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