Tensorflow CNN:图像转换需要SciPy。安装SciPy
Tensorflow CNN:图像转换需要SciPy。安装SciPy
提问于 2022-03-22 23:18:40
我正在使用tensorflow在木星笔记本中训练CNN，并得到以下错误：ImportError: Image transformations require SciPy. Install SciPy.
我使用以下命令安装了the，并确认它已安装：
!pip install scipy
import scipy我有三个分类类，我将图像分类为，我的代码是：
print(len(os.listdir('C:/images/cvd/Training/class1')))
print(len(os.listdir('C:/images/cvd/Testing/class1')))
print(len(os.listdir('C:/images/cvd/Training/class2')))
print(len(os.listdir('C:/images/cvd/Testing/class2')))
print(len(os.listdir('C:/images/cvd/Training/class3')))
print(len(os.listdir('C:/images/cvd/Testing/class3')))1400 156 1022 114 1403 156
model = tf.keras.models.Sequential([
tf.keras.layers.Conv2D(64, (3, 3), activation='relu', input_shape=(80, 80, 1)),
tf.keras.layers.MaxPooling2D(2, 2),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Conv2D(64, (3, 3), activation='relu'),
tf.keras.layers.MaxPooling2D(2, 2),
tf.keras.layers.Dropout(0.2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(3, activation='softmax')
])
# compile model
model.compile(loss='sparse_categorical_crossentropy',
optimizer='adam',
metrics=['accuracy'])
# pre process images
TRAINING_DIR = 'C:/images/cvd/Training/'
train_datagen = ImageDataGenerator(rescale=1.0 / 255)
train_generator = train_datagen.flow_from_directory(TRAINING_DIR,
target_size=(80, 80),
batch_size=24,
class_mode='categorical')
VALIDATION_DIR = 'C:/images/cvd/Testing/'
validation_datagen = ImageDataGenerator(rescale=1.0 / 255)
validation_generator = validation_datagen.flow_from_directory(VALIDATION_DIR,
target_size=(80, 80),
batch_size=24,
class_mode='categorical')
history = model.fit(train_generator, epochs=20, steps_per_epoch=10,
validation_data=validation_generator, validation_steps=4)回答 1
Stack Overflow用户
发布于 2022-03-30 04:20:39
我也有同样的问题。但我通过以下方法解决了问题。首先，我的库版本*numpy : 1.21.5 *scipy : 1.7.3 *tensorflow-gpu : 2.8.0
我移到了错误行..。在我的例子中，affine_transformation.py可能错误行为20 ~22，我检查了是否已安装，是否存在错误。所以，我在try~catch之外编写了代码，
进口枕木和酒窝！！
import scipy
from scipy import ndimage
try:
import scipy
print(scipy.__version__)
#scipy.ndimage cannot be accessed until explicitly imported
print(ndimage.affine_transform.__doc__)
from scipy import ndimage
except ImportError as e:
print('test............',e)
scipy = None模特成功了。
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原文链接：
https://stackoverflow.com/questions/71580074
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