it take the test_data[i] and change the way it order.
I changed it to:
/usr/lib/python3.4/site-packages/ipykernel_launcher.py:236: DeprecationWarning: imread
is deprecated!
imread
is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use imageio.imread
instead.
/usr/lib/python3.4/site-packages/ipykernel_launcher.py:260: DeprecationWarning: imread
is deprecated!
imread
is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.
Use imageio.imread
instead.
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your InputLayer
call to the Keras 2 API: InputLayer(batch_input_shape=[None, 3, ..., name="Input_0", sparse=False, dtype="float32")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=256, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218328", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=256, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218329", activity_regularizer=None, data_format="channels_first", trainable=True, activation="linear")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your MaxPooling2D
call to the Keras 2 API: MaxPooling2D(pool_size=[2, 2], name="maxpooling2d_91874", data_format="channels_first", trainable=True, strides=[2, 2], padding="valid")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=128, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218330", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=128, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218331", activity_regularizer=None, data_format="channels_first", trainable=True, activation="linear")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your BatchNormalization
call to the Keras 2 API: BatchNormalization(epsilon=0.001, name="batchnormalization_78248", momentum=0.99, beta_regularizer=None, trainable=True, axis=-1, gamma_regularizer=None)
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your MaxPooling2D
call to the Keras 2 API: MaxPooling2D(pool_size=[2, 2], name="maxpooling2d_91875", data_format="channels_first", trainable=True, strides=[2, 2], padding="valid")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=64, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218332", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=64, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218333", activity_regularizer=None, data_format="channels_first", trainable=True, activation="linear")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=64, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218334", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=64, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218335", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your MaxPooling2D
call to the Keras 2 API: MaxPooling2D(pool_size=[2, 2], name="maxpooling2d_91876", data_format="channels_first", trainable=True, strides=[2, 2], padding="valid")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218336", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218337", activity_regularizer=None, data_format="channels_first", trainable=True, activation="linear")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your BatchNormalization
call to the Keras 2 API: BatchNormalization(epsilon=0.001, name="batchnormalization_78249", momentum=0.99, beta_regularizer=None, trainable=True, axis=-1, gamma_regularizer=None)
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218338", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218339", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your MaxPooling2D
call to the Keras 2 API: MaxPooling2D(pool_size=[2, 2], name="maxpooling2d_91877", data_format="channels_first", trainable=True, strides=[2, 2], padding="valid")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218340", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218341", activity_regularizer=None, data_format="channels_first", trainable=True, activation="linear")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218342", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Conv2D
call to the Keras 2 API: Conv2D(kernel_constraint=None, filters=32, strides=[1, 1], kernel_initializer="glorot_uniform", bias_regularizer=None, kernel_regularizer=None, kernel_size=(2, 2), padding="same", use_bias=True, bias_constraint=None, name="convolution2d_218343", activity_regularizer=None, data_format="channels_first", trainable=True, activation="relu")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your MaxPooling2D
call to the Keras 2 API: MaxPooling2D(pool_size=[2, 2], name="maxpooling2d_91878", data_format="channels_first", trainable=True, strides=[2, 2], padding="valid")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Dense
call to the Keras 2 API: Dense(kernel_constraint=None, bias_constraint=None, name="dense_95912", bias_regularizer=None, kernel_initializer="glorot_uniform", units=2048, input_dim=288, kernel_regularizer=None, trainable=True, activation="linear", activity_regularizer=None, use_bias=True)
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Dense
call to the Keras 2 API: Dense(kernel_constraint=None, bias_constraint=None, name="dense_95913", bias_regularizer=None, kernel_initializer="glorot_uniform", units=1024, input_dim=2048, kernel_regularizer=None, trainable=True, activation="linear", activity_regularizer=None, use_bias=True)
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your BatchNormalization
call to the Keras 2 API: BatchNormalization(epsilon=0.001, name="batchnormalization_78250", momentum=0.99, beta_regularizer=None, trainable=True, axis=-1, gamma_regularizer=None)
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Dropout
call to the Keras 2 API: Dropout(trainable=True, rate=0.4, name="dropout_44138")
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Dense
call to the Keras 2 API: Dense(kernel_constraint=None, bias_constraint=None, name="dense_95914", bias_regularizer=None, kernel_initializer="glorot_uniform", units=1024, input_dim=1024, kernel_regularizer=None, trainable=True, activation="linear", activity_regularizer=None, use_bias=True)
return cls(**config)
/usr/lib64/python3.4/site-packages/keras/engine/base_layer.py:1109: UserWarning: Update your Dense
call to the Keras 2 API: Dense(kernel_constraint=None, bias_constraint=None, name="dense_95915", bias_regularizer=None, kernel_initializer="glorot_uniform", units=3, input_dim=1024, kernel_regularizer=None, trainable=True, activation="softmax", activity_regularizer=None, use_bias=True)
return cls(**config)