【发布时间】:2021-10-23 03:55:48
【问题描述】:
我正在使用迁移学习通过 imagedatagenerator 提取医学图像的特征。我使用的是枕头版本 2.8.0,图像是单通道的,是 jpeg 格式的。 SciPy 1.5.4 版显示安装在我的 IDE 上。代码如下:
import os, glob
import numpy as np
import matplotlib.pyplot as plt
import cv2
import nibabel as nib
import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
from tensorflow import keras
from keras.models import load_model
from keras import backend as K
from keras.applications.vgg16 import VGG16
import os
import cv2
from PIL import Image
import numpy as np
import scipy
from matplotlib import pyplot as plt
batch_size = 64
train_datagen = ImageDataGenerator(rescale=1./255)
train_generator = train_datagen.flow_from_directory(
'/home/idu/Desktop/COV19D/train/',
target_size=(512, 512),
batch_size=batch_size,
classes = ['covid','non-covid'],
class_mode='binary')
迁移学习模型如下:
SIZE = 512
VGG_model = VGG16(include_top=False, weights=None, input_shape=(SIZE, SIZE, 1))
for layer in VGG_model.layers:
layer.trainable = False
feature_extractor=VGG_model.predict(train_generator)
它曾经抛出错误__array__() takes 1 positional argument but 2 were given? 但是通过将枕头版本降级到上述版本来解决这个问题。然而,现在最后的代码抛出了错误:
Traceback (most recent call last):
File "<ipython-input-120-b9bad68819ec>", line 1, in <module>
feature_extractor=VGG_model.predict(train_generator)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/training.py", line 1681, in predict
steps_per_execution=self._steps_per_execution)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 1348, in get_data_handler
return DataHandler(*args, **kwargs)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 1150, in __init__
model=model)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 793, in __init__
peek, x = self._peek_and_restore(x)
File "/home/idu/.local/lib/python3.6/site-packages/keras/engine/data_adapter.py", line 850, in _peek_and_restore
peek = next(x)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/iterator.py", line 104, in __next__
return self.next(*args, **kwargs)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/iterator.py", line 116, in next
return self._get_batches_of_transformed_samples(index_array)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/iterator.py", line 238, in _get_batches_of_transformed_samples
x = self.image_data_generator.apply_transform(x, params)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/image_data_generator.py", line 874, in apply_transform
order=self.interpolation_order)
File "/home/idu/.local/lib/python3.6/site-packages/keras_preprocessing/image/affine_transformations.py", line 281, in apply_affine_transform
raise ImportError('Image transformations require SciPy. '
ImportError: Image transformations require SciPy. Install SciPy.
我已经在我的 IDE 上安装并检查了 SciPy 版本,它似乎没问题,版本 '1.5.4'。我该如何解决这个错误?谢谢。
【问题讨论】:
-
你导入了吗?请在此处发布您的完整代码
-
是的。我已经导入了 scipy 库。现在可以在上面看到完整的代码。谢谢!
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升级枕头然后显示错误行,我认为scipy需要更新枕头
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这个错误,当枕头是最新的,可以在这里看到stackoverflow.com/questions/68880452/…。可以在此处查看带有错误的完整代码stackoverflow.com/questions/68291947/…。感谢您的宝贵时间!
标签: python arrays image image-processing arguments