Hi,
I am facing some error while trying to load the pre-trained model on my local system via jupyter.
You have used it in course 4(Face recognition)
Can you please let me know which python/keras/tensorflow version you use on this assignment.
Below is the error message:
ValueError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_14756/3412463693.py in
5 json_file.close()
6
----> 7 model = model_from_json(loaded_json_model)
8 model.load_weights(‘model.h5’)
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\saving\model_config.py in model_from_json(json_string, custom_objects)
102 config = json_utils.decode(json_string)
103 from keras.layers import deserialize # pylint: disable=g-import-not-at-top
→ 104 return deserialize(config, custom_objects=custom_objects)
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\layers\serialization.py in deserialize(config, custom_objects)
206 “”"
207 populate_deserializable_objects()
→ 208 return generic_utils.deserialize_keras_object(
209 config,
210 module_objects=LOCAL.ALL_OBJECTS,
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\utils\generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
672
673 if ‘custom_objects’ in arg_spec.args:
→ 674 deserialized_obj = cls.from_config(
675 cls_config,
676 custom_objects=dict(
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\engine\functional.py in from_config(cls, config, custom_objects)
660 “”"
661 with generic_utils.SharedObjectLoadingScope():
→ 662 input_tensors, output_tensors, created_layers = reconstruct_from_config(
663 config, custom_objects)
664 model = cls(inputs=input_tensors, outputs=output_tensors,
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\engine\functional.py in reconstruct_from_config(config, custom_objects, created_layers)
1271 # First, we create all layers and enqueue nodes to be processed
1272 for layer_data in config[‘layers’]:
→ 1273 process_layer(layer_data)
1274 # Then we process nodes in order of layer depth.
1275 # Nodes that cannot yet be processed (if the inbound node
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\engine\functional.py in process_layer(layer_data)
1253 from keras.layers import deserialize as deserialize_layer # pylint: disable=g-import-not-at-top
1254
→ 1255 layer = deserialize_layer(layer_data, custom_objects=custom_objects)
1256 created_layers[layer_name] = layer
1257
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\layers\serialization.py in deserialize(config, custom_objects)
206 “”"
207 populate_deserializable_objects()
→ 208 return generic_utils.deserialize_keras_object(
209 config,
210 module_objects=LOCAL.ALL_OBJECTS,
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\utils\generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)
672
673 if ‘custom_objects’ in arg_spec.args:
→ 674 deserialized_obj = cls.from_config(
675 cls_config,
676 custom_objects=dict(
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\layers\core.py in from_config(cls, config, custom_objects)
1003 def from_config(cls, config, custom_objects=None):
1004 config = config.copy()
→ 1005 function = cls._parse_function_from_config(
1006 config, custom_objects, ‘function’, ‘module’, ‘function_type’)
1007
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\layers\core.py in _parse_function_from_config(cls, config, custom_objects, func_attr_name, module_attr_name, func_type_attr_name)
1055 elif function_type == ‘lambda’:
1056 # Unsafe deserialization from bytecode
→ 1057 function = generic_utils.func_load(
1058 config[func_attr_name], globs=globs)
1059 elif function_type == ‘raw’:
~\Anaconda3\envs\dnnenv2\lib\site-packages\keras\utils\generic_utils.py in func_load(code, defaults, closure, globs)
787 except (UnicodeEncodeError, binascii.Error):
788 raw_code = code.encode(‘raw_unicode_escape’)
→ 789 code = marshal.loads(raw_code)
790 if globs is None:
791 globs = globals()
ValueError: bad marshal data (unknown type code)
please advise how to fix it