naemazam / real-time-face-recognition-using-facenet Goto Github PK

Because, When I run this codes it takes 30-40 seconds to start.
And the warning is
WARNING:tensorflow:5 out of the last 118 calls to <function Model.make_predict_function..predict_function at 0x0000017B38050940> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/tutorials/customization/performance#python_or_tensor_args and https://www.tensorflow.org/api_docs/python/tf/function for more details.

suggest me better way to run this code. Thanks in advance

Hi Naem Azam,

In the SetUp on intruction 0:
0. Download facenet_keras_weights.h5 and put it accoding to our file Organization

Where the file organization location actually?, in which location should we put the facenet_keras_weights.h5?

Thanks,
Tri

Hi Naem Azam, this is one of the best project.

But, I'm looking all of your commit and browse files, but ca't finding the requirements.txt file.
So where do you put that?, have you push the file to this repository?

Thanks,
Tri Nanda