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トップに関する質問kerasを使用した画像認識でのエラー(Pycharm)

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質問編集履歴

1

バージョンを下げました

2017/07/10 04:11

投稿

DDon
DDon

スコア37

test CHANGED
File without changes
test CHANGED
@@ -26,102 +26,92 @@
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  ｜-use_model.py
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+ #追記
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+ バージョンを下げたらエラー内容は変わったのですが、このエラーもよくわかりません
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-
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-
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-
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- #エラー内容
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+ #エラー内容(バージョン下げ)
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  C:\Users\doumae.kazuki\Anaconda3\python.exe C:/PyCharm/image_ai_sample/use_model.py
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  Using TensorFlow backend.
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- Traceback (most recent call last):
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_1", activity_regularizer=None, trainable=True, input_dtype="float32", batch_input_shape=[None, 32,..., activation="linear", kernel_size=(3, 3), filters=16, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:/PyCharm/image_ai_sample/use_model.py", line 2, in <module>
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+ return cls(**config)
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- import keras
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_2", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=16, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\__init__.py", line 4, in <module>
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+ return cls(**config)
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- from . import activations
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D(name="maxpooling2d_1", trainable=True, pool_size=[2, 2], strides=[2, 2], padding="valid", data_format="channels_last")`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\activations.py", line 6, in <module>
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+ return cls(**config)
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- from .engine import Layer
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dropout` call to the Keras 2 API: `Dropout(trainable=True, name="dropout_1", rate=0.5)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\__init__.py", line 8, in <module>
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+ return cls(**config)
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- from .training import Model
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_3", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=32, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\training.py", line 25, in <module>
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+ return cls(**config)
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- from .. import callbacks as cbks
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_4", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=32, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\callbacks.py", line 26, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.tensorboard.plugins import projector
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D(name="maxpooling2d_2", trainable=True, pool_size=[2, 2], strides=[2, 2], padding="valid", data_format="channels_last")`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\__init__.py", line 31, in <module>
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+ return cls(**config)
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- from tensorflow.contrib import factorization
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dropout` call to the Keras 2 API: `Dropout(trainable=True, name="dropout_2", rate=0.5)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\factorization\__init__.py", line 24, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.factorization.python.ops.gmm import *
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_5", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=64, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\factorization\python\ops\gmm.py", line 27, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn.estimators import estimator
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_6", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=64, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\__init__.py", line 88, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn import *
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D(name="maxpooling2d_3", trainable=True, pool_size=[2, 2], strides=[2, 2], padding="valid", data_format="channels_last")`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\__init__.py", line 23, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn import *
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dropout` call to the Keras 2 API: `Dropout(trainable=True, name="dropout_3", rate=0.5)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\__init__.py", line 25, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn import estimators
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_7", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=64, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\__init__.py", line 297, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_8", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=64, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn.py", line 30, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `MaxPooling2D` call to the Keras 2 API: `MaxPooling2D(name="maxpooling2d_4", trainable=True, pool_size=[2, 2], strides=[2, 2], padding="valid", data_format="channels_last")`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn_linear_combined.py", line 31, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn.estimators import estimator
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dropout` call to the Keras 2 API: `Dropout(trainable=True, name="dropout_4", rate=0.5)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 49, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn.learn_io import data_feeder
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Conv2D` call to the Keras 2 API: `Conv2D(name="convolution2d_9", activity_regularizer=None, trainable=True, activation="linear", kernel_size=(3, 3), filters=128, strides=[1, 1], padding="same", data_format="channels_last", kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\learn_io\__init__.py", line 21, in <module>
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+ return cls(**config)
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- from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dropout` call to the Keras 2 API: `Dropout(trainable=True, name="dropout_5", rate=0.5)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\tensorflow\contrib\learn\python\learn\learn_io\dask_io.py", line 26, in <module>
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+ return cls(**config)
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- import dask.dataframe as dd
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(name="dense_1", activity_regularizer=None, trainable=True, input_dim=512, activation="linear", units=100, kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\dask\dataframe\__init__.py", line 3, in <module>
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+ return cls(**config)
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- from .core import (DataFrame, Series, Index, _Frame, map_partitions,
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+ C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\keras\engine\topology.py:1242: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(name="dense_2", activity_regularizer=None, trainable=True, input_dim=100, activation="linear", units=3, kernel_initializer="glorot_uniform", kernel_regularizer=None, bias_regularizer=None, kernel_constraint=None, bias_constraint=None, use_bias=True)`
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- File "C:\Users\doumae.kazuki\Anaconda3\lib\site-packages\dask\dataframe\core.py", line 38, in <module>
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-
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- pd.computation.expressions.set_use_numexpr(False)
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-
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- AttributeError: module 'pandas' has no attribute 'computation'
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-
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-
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-
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- Process finished with exit code 1
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+ return cls(**config)