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auroua avatar auroua commented on July 19, 2024 1

Please reference eval_ckpt_file.py.

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iamrishab avatar iamrishab commented on July 19, 2024

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?

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PPPPPPPeng avatar PPPPPPPeng commented on July 19, 2024

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.

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