Google Colab无法访问驱动器内容 [英] Google Colab can't access drive content

问题描述

即使我将我的Google Drive(及其中的数据集)定义为google colab，但是当我运行我的代码时，也会出现此错误:FileNotFoundError:[Errno 2]没有这样的文件或目录:'content/drive/My Drive /....

Even though I defined my Google Drive(and my dataset in it) to google colab but when I run my code I give this error:FileNotFoundError: [Errno 2] No such file or directory: 'content/drive/My Drive/....

我已经在google colab中定义了google驱动器，我可以通过google colab访问它，但是当我运行代码时，我会提示此错误

I already defined google drive in google colab and I can access to it through google colab but when I run my code I give this error

from keras.models import Sequential
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
model=Sequential()
model.add(Convolution2D(32,3,3,input_shape=(64,64,3),activation='relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Convolution2D(32,3,3,activation='relu'))
model.add(MaxPooling2D(pool_size=(2,2)))
model.add(Flatten())
model.add(Dense(output_dim=128,activation='relu'))
model.add(Dense(output_dim=1,activation='sigmoid'))
model.compile(optimizer='adam',loss='binary_crossentropy',metrics=['accuracy'])

from keras.preprocessing.image import ImageDataGenerator
train_datagen=ImageDataGenerator(
    rescale=1./255,
    shear_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True)
test_datagen=ImageDataGenerator(rescale=1./255)

training_set=train_datagen.flow_from_directory(
    directory='content/drive/My Drive/Convolutional_Neural_Networks/dataset/training_set',
    target_size=(64,64),
    batch_size=32,
    class_mode='binary')
test_set=test_datagen.flow_from_directory(
    directory='content/drive/My Drive/Convolutional_Neural_Networks/dataset/test_set',
    target_size=(64,64),
    batch_size=32,
    class_mode='binary')

#train
model.fit_generator(
    training_set,
    samples_per_epoch=8000,
    nb_epoch=2,
    validation_data=test_set,
    nb_val_samples=1000)

import numpy as np
from keras.preprocessing import image
test_image=image.load_img('sunn.jpg',target_size=(64,64))
test_image=image.img_to_array(test_image)
test_image=np.expand_dims(test_image,axis=0)
result=model.predict(test_image)
training_set.class_indices
if result[0][0] >= 0.5:
    prediction='dog'
else:
    prediction='cat'
print(prediction)

推荐答案

安装后，移至数据集文件夹.

After mounting, move into the dataset folder.

cd content/drive/My Drive/Convolutional_Neural_Networks/dataset/

请勿使用！. 然后将目录设置为./training_set

Don't use the !. Then set your directory as ./training_set

这篇关于Google Colab无法访问驱动器内容的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！