Comments (3)
Please reference eval_ckpt_file.py
.
from insightface_tf.
Hello. First, thanks for good projects!
👍 I cloned it and download pretrained "model A".
But I wonder how to test whether two images are identical face?Here is my code.
sess = tf.Session() saver = tf.train.import_meta_graph('./pretrained_models/InsightFace_iter_1060000.ckpt.meta') saver.restore(sess, './pretrained_models/InsightFace_iter_1060000.ckpt') input_images = tf.get_default_graph().get_tensor_by_name('img_inputs:0') image = Image.open('./test_image.jpg') image = image.resize((112, 112)) images = [np.array(image)] outputs = sess.run('arcface_loss/embedding_weights:0', feed_dict={input_images: images})
But the output shape is always (512, 85164)
Would you let me know how to test images?
Thanks!
Can you please share the pretrained weights you have used via Google Drive?
from insightface_tf.
Hello. First, thanks for good projects!
👍 I cloned it and download pretrained "model A". But I wonder how to test whether two images are identical face?
Here is my code.
sess = tf.Session() saver = tf.train.import_meta_graph('./pretrained_models/InsightFace_iter_1060000.ckpt.meta') saver.restore(sess, './pretrained_models/InsightFace_iter_1060000.ckpt') input_images = tf.get_default_graph().get_tensor_by_name('img_inputs:0') image = Image.open('./test_image.jpg') image = image.resize((112, 112)) images = [np.array(image)] outputs = sess.run('arcface_loss/embedding_weights:0', feed_dict={input_images: images})
But the output shape is always (512, 85164)
Would you let me know how to test images? Thanks!
Have you resolve this problem? I want to compare two faces's dist to determine whether two images are identical face,too!
from insightface_tf.
Related Issues (20)
- About the accuracy computation(关于计算准确率的问题) HOT 1
- the number of samples is not 5.8M
- resnet_v1_50/block1/unit_1/bottleneck_v1/shortcut_bn/BatchNorm/beta
- stom
- could I get the 512-D face embedding features ?
- pre trained models HOT 2
- How can I directly test the LFW data set with an existing model to get accuracy?Which folder is the model in?
- Embeddings model d
- In what format does the labels should be
- How to download pretrain ?
- Thank you for your code,could you tell why I feed input with shape(n,112,112,3),but just get the embedding with shape(1,512) HOT 1
- Performance issues in your project (by P3) HOT 1
- Performance issues in train_nets.py(P2)
- from models import base_server NOT IMPORTING
- center parallel strategy
- any instruction how to start?
- Share model please,,..
- Did you try a lighter base such as MobileFaceNet?
- compared with facenet HOT 2
- How to solve the problem of "summary" errors during training?
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from insightface_tf.