search

akshaybahadur21 / Facial-Recognition-using-Facenet

A simple implementation of facial recognition using facenets for humans šŸ§” šŸ”
MIT License
278 stars 143 forks source link

Code breaking in "Rec-feat.py" #14

Open mohan22 opened 5 years ago

mohan22 commented 5 years ago

Traceback (most recent call last): File "rec-feat.py", line 13, in FRmodel = load_model('face-rec_Google.h5') File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 419, in load_model model = _deserialize_model(f, custom_objects, compile) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 225, in _deserialize_model model = model_from_config(model_config, custom_objects=custom_objects) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/saving.py", line 458, in model_from_config return deserialize(config, custom_objects=custom_objects) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/layers/init.py", line 55, in deserialize printable_module_name='layer') File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/utils/generic_utils.py", line 145, in deserialize_keras_object list(custom_objects.items()))) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/network.py", line 1032, in from_config process_node(layer, node_data) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/network.py", line 991, in process_node layer(unpack_singleton(input_tensors), kwargs) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/engine/base_layer.py", line 457, in call output = self.call(inputs, kwargs) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/layers/merge.py", line 161, in call return self._merge_function(inputs) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/layers/merge.py", line 365, in _merge_function return K.concatenate(inputs, axis=self.axis) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 1956, in concatenate return tf.concat([to_dense(x) for x in tensors], axis) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/ops/array_ops.py", line 1075, in concat dtype=dtypes.int32).get_shape( File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/ops.py", line 669, in convert_to_tensor ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function return constant(v, dtype=dtype, name=name) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py", line 165, in constant tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape)) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto _AssertCompatible(values, dtype) File "/Users/venkatamohan.jakkula/anaconda3/lib/python3.7/site-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible (dtype.name, repr(mismatch), type(mismatch).name)) TypeError: Expected int32, got list containing Tensors of type '_Message' instead.