ImportError:图像转换需要 SciPy。安装 SciPy

Ken*_*ani 5 python arrays arguments image image-processing

我正在通过图像数据生成器使用迁移学习来提取医学图像的特征。我使用的是 2.8.0 版本的 Pillow,图像是单通道的,jpeg 格式。SciPy 版本 1.5.4 显示已安装在我的 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') 
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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)
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它曾经抛出错误 __array__() takes 1 positional argument but 2 were given?,但这通过将枕头版本降级到上面提到的版本来解决。然而现在,最后一个代码抛出了错误:

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.
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我已经在 IDE 上安装并检查了 SciPy 版本,似乎没问题,版本“1.5.4”。我该如何修复这个错误?谢谢。

小智 1

此问题通常是由于 TensorFlow 版本所致。我相信你当前的版本必须是2.6或类似的版本,如果你安装tensorflow==2.4这个问题就会解决。