Row 6554

Row ID: 6554 | Dataset Entry | Axioma AXP Content Repository

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Hello, My project is a face recognition system using tensorflow. I have fine-tuned the ConvNeXt model on my dataset and I am using streamlit to deploy the application. However, When loading the saved .h5 model there are errors that appear and I cant get the streamlit to work. When I run the code provided, I receive this error: Unknown layer: 'LayerScale'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See [https://www.tensorflow.org/guide/keras/save\_and\_serialize#registering\_the\_custom\_object](https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object) for details. After doing some digging around, I found a similar error on stackoverflow and copied the LayerScale class from the source code and added it into mine(3rd screenshot). Now I am facing this error: 'TFOpLambda'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See [https://www.tensorflow.org/guide/keras/save\_and\_serialize#registering\_the\_custom\_object](https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object) for details.

There are also other errors and warnings that appear in the terminal and I wonder what do they mean: "I tensorflow/core/util/port.cc:113\] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`." and "The name tf.reset\_default\_graph is deprecated. Please use tf.compat.v1.reset\_default\_graph instead." Has anyone faced a problem like this before and what is the solution? Thanks in advance

code: [https://imgur.com/a/IBTjI7v](https://imgur.com/a/IBTjI7v)

FieldValue
text Hello, My project is a face recognition system using tensorflow. I have fine-tuned the ConvNeXt model on my dataset and I am using streamlit to deploy the application. However, When loading the saved .h5 model there are errors that appear and I cant get the streamlit to work. When I run the code provided, I receive this error: Unknown layer: 'LayerScale'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See [https://www.tensorflow.…
label r/tensorflow
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communityName r/tensorflow
datetime 2024-05-11
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{
  "text": "Hello,   \nMy project is a face recognition system using tensorflow. I have fine-tuned the ConvNeXt model on my dataset and I am using streamlit to deploy the application. However, When loading the saved .h5 model there are errors that appear and I cant get the streamlit to work. When I run the code provided, I receive this error: Unknown layer: 'LayerScale'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See [https://www.tensorflow.org/guide/keras/save\\_and\\_serialize#registering\\_the\\_custom\\_object](https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object) for details. After doing some digging around, I found a similar error on stackoverflow and copied the LayerScale class from the source code and added it into mine(3rd screenshot). Now I am facing this error: 'TFOpLambda'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See [https://www.tensorflow.org/guide/keras/save\\_and\\_serialize#registering\\_the\\_custom\\_object](https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object) for details. \n\nThere are also other errors and warnings that appear in the terminal and I wonder what do they mean: \"I tensorflow/core/util/port.cc:113\\] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\" and \"The name tf.reset\\_default\\_graph is deprecated. Please use tf.compat.v1.reset\\_default\\_graph instead.\" Has anyone faced a problem like this before and what is the solution? Thanks in advance\n\ncode: [https://imgur.com/a/IBTjI7v](https://imgur.com/a/IBTjI7v)",
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