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在运行报错!!!
yolo_model = load_model("model_data/yolo.h5")
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-24-7a6f0063995c> in <module>() ----> 1 yolo_model = load_model("model_data/yolo.h5") C:\ProgramData\Anaconda3\lib\site-packages\keras\models.py in load_model(filepath, custom_objects, compile) 241 242 # set weights --> 243 topology.load_weights_from_hdf5_group(f['model_weights'], model.layers) 244 245 # Early return if compilation is not required. C:\ProgramData\Anaconda3\lib\site-packages\keras\models.py in model_from_config(config, custom_objects) 315 316 --> 317 def model_from_yaml(yaml_string, custom_objects=None): 318 """Parses a yaml model configuration file and returns a model instance. 319 C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\__init__.py in deserialize(config, custom_objects) 53 module_objects=globs, 54 custom_objects=custom_objects, ---> 55 printable_module_name='layer') C:\ProgramData\Anaconda3\lib\site-packages\keras\utils\generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name) 142 return cls.from_config(config['config']) 143 else: --> 144 # Then `cls` may be a function returning a class. 145 # in this case by convention `config` holds 146 # the kwargs of the function. C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py in from_config(cls, config, custom_objects) 2518 2519 def save(self, filepath, overwrite=True, include_optimizer=True): -> 2520 """Save the model to a single HDF5 file. 2521 2522 The savefile includes: C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py in process_node(layer, node_data) 2475 layer = deserialize_layer(layer_data, 2476 custom_objects=custom_objects) -> 2477 created_layers[layer_name] = layer 2478 2479 # Gather layer inputs. C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py in __call__(self, inputs, **kwargs) 615 if len(output_ls_copy) == 1: 616 output = output_ls_copy[0] --> 617 else: 618 output = output_ls_copy 619 C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\advanced_activations.py in call(self, inputs) 44 config = {'alpha': float(self.alpha)} 45 base_config = super(LeakyReLU, self).get_config() ---> 46 return dict(list(base_config.items()) + list(config.items())) 47 48 C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in relu(x, alpha, max_value) 2916 2917 output_shape = output.get_shape() -> 2918 targets = cast(flatten(target), 'int64') 2919 logits = tf.reshape(output, [-1, int(output_shape[-1])]) 2920 res = tf.nn.sparse_softmax_cross_entropy_with_logits( AttributeError: module 'tensorflow.python.ops.nn' has no attribute 'leaky_relu'
The text was updated successfully, but these errors were encountered:
上述错误是在Keras版本2.1.5的时候出错的,通过将Keras降级到2.1.2该错误消失。 使用下列命令降级
conda install -n your_envi -c conda-forge keras=2.1.2
将your_envi更改为你的conda环境名
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在运行报错!!!
The text was updated successfully, but these errors were encountered: