运行gap.ipynb出现错误AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample' #21

xiezhiepng · 2019-07-23T01:36:40Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

ypwhs · 2019-07-23T04:39:21Z

Keras 新版更新了API，可以直接 predict_generator，你可以去掉第二个参数。

xiezhiepng · 2019-07-23T05:26:49Z

去掉第二个参数出现
TypeError: predict_generator() missing 1 required positional argument: 'val_samples'
我安装的版本是
Keras (1.2.2)
Keras-Applications (1.0.8)
Keras-Preprocessing (1.1.0)

代码是一样的
from keras.models import *
from keras.layers import *
from keras.applications import *
from keras.preprocessing.image import *
import h5py

def write_gap(MODEL, image_size, lambda_func=None):
width = image_size[0]
height = image_size[1]
input_tensor = Input((height, width, 3))
x = input_tensor
if lambda_func:
x = Lambda(lambda_func)(x)

base_model = MODEL(input_tensor=x, weights='imagenet', include_top=False)
model = Model(base_model.input, GlobalAveragePooling2D()(base_model.output))

gen = ImageDataGenerator()
train_generator = gen.flow_from_directory("train2", image_size, shuffle=False, 
                                          batch_size=16)
test_generator = gen.flow_from_directory("test2", image_size, shuffle=False, 
                                         batch_size=16, class_mode=None)
#修改：去掉第二个参数
train = model.predict_generator(train_generator)#, train_generator.nb_sample
test = model.predict_generator(test_generator)#, test_generator.nb_sample
with h5py.File("gap_%s.h5"%MODEL.func_name) as h:
    h.create_dataset("train", data=train)
    h.create_dataset("test", data=test)
    h.create_dataset("label", data=train_generator.classes)

write_gap(ResNet50, (224, 224))
write_gap(InceptionV3, (299, 299), inception_v3.preprocess_input)
write_gap(Xception, (299, 299), xception.preprocess_input)

ypwhs · 2019-07-23T12:29:41Z

1.2.2 的话，可以传 generator.n

ypwhs · 2019-07-23T12:30:16Z

这个代码的版本比较旧了，之后我找时间更新一下

xiezhiepng · 2019-07-23T14:43:40Z

好的谢谢你 ------------------ 原始邮件 ------------------ 发件人: "杨培文 (Yang Peiwen)"<[email protected]> 发送时间: 2019年7月23日(星期二) 晚上8:30 收件人: "ypwhs/dogs_vs_cats"<[email protected]>; 抄送: "XZP"<[email protected]>;"Author"<[email protected]>; 主题: Re: [ypwhs/dogs_vs_cats] 运行gap.ipynb出现错误AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample' (#21) 这个代码的版本比较旧了，之后我找时间更新一下 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or mute the thread.

raoquanquan · 2019-08-06T02:50:17Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降低为1.2.2后就没出现这个错误了。

xiezhiepng · 2019-08-07T01:13:59Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降低为1.2.2后就没出现这个错误了。

你运行都没问题吗？

raoquanquan · 2019-08-07T01:22:32Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降低为1.2.2后就没出现这个错误了。

你运行都没问题吗？

你还出现什么问题？还有一两个地方好像有问题需要改。

xiezhiepng · 2019-08-07T01:35:37Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降低为1.2.2后就没出现这个错误了。

你运行都没问题吗？

你还出现什么问题？还有一两个地方好像有问题需要改。

我切换了1.2.2之后运行gap.ipynb文件出现Error when checking : data should be a Numpy array, or list/dict of Numpy arrays. Found: None...

xiezhiepng · 2019-08-07T01:37:10Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降低为1.2.2后就没出现这个错误了。

你运行都没问题吗？

你还出现什么问题？还有一两个地方好像有问题需要改。

我切换了1.2.2之后运行gap.ipynb文件出现Error when checking : data should be a Numpy array, or list/dict of Numpy arrays. Found: None...

是哪两个地方需要改，能帮忙说一下吗？keras新手都没弄过这个。感谢🙏

raoquanquan · 2019-08-07T02:03:42Z

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降

AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample'

我也出现你这个问题，但是我把keras版本降低为1.2.2后就没出现这个错误了。

你运行都没问题吗？

你还出现什么问题？还有一两个地方好像有问题需要改。

我切换了1.2.2之后运行gap.ipynb文件出现Error when checking : data should be a Numpy array, or list/dict of Numpy arrays. Found: None...

是哪两个地方需要改，能帮忙说一下吗？keras新手都没弄过这个。感谢🙏

兄弟，我也是新手，你这个问题翻译过来就是你要用 .shape得是Numpy array格式的数据，不能是list/dict(列表或者字典)。这个不是代码的问题，是作者把代码分割成几部分了，他之前用的jupyter notebook所以没问题，但是我们直接 python运行代码就会有问题。你把作者代码整合一下把特征向量提取、特征向量导入，模型搭建和可视化、训练模型（除了‘’预测结果‘’之外，因为这个部分也有些问题，是版本的问题，我还没改过来，你改好了可以告诉我）放在一个python文件里，然后运行。这样你前面的结果就都可以了出来了。

Monkeone · 2019-08-25T08:40:46Z

我出现Traceback (most recent call last):
File "gap.py", line 29, in
write_gap(ResNet50, (224, 224))
File "gap.py", line 23, in write_gap
train = model.predict_generator(train_generator)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1298, in predict_generator
callbacks=callbacks)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\engine\training_generator.py", line 220, in model_iteration
batch_data = _get_next_batch(generator, mode)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\engine\training_generator.py", line 362, in _get_next_batch
generator_output = next(generator)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\utils\data_utils.py", line 785, in get
six.reraise(*sys.exc_info())
File "D:\新建文件夹\python\lib\site-packages\six.py", line 693, in reraise
raise value
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\utils\data_utils.py", line 779, in get
inputs = self.queue.get(block=True).get()
File "D:\新建文件夹\python\lib\multiprocessing\pool.py", line 657, in get
raise self._value
File "D:\新建文件夹\python\lib\multiprocessing\pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\utils\data_utils.py", line 571, in get_index
return _SHARED_SEQUENCES[uid][i]
File "D:\新建文件夹\python\lib\site-packages\keras_preprocessing\image\iterator.py", line 65, in getitem
return self._get_batches_of_transformed_samples(index_array)
File "D:\新建文件夹\python\lib\site-packages\keras_preprocessing\image\iterator.py", line 226, in _get_batches_of_transformed_samples
interpolation=self.interpolation)
File "D:\新建文件夹\python\lib\site-packages\keras_preprocessing\image\utils.py", line 104, in load_img
img = pil_image.open(path)
File "D:\新建文件夹\python\lib\site-packages\PIL\Image.py", line 2770, in open
fp = builtins.open(filename, "rb")
OSError: [Errno 22] Invalid argument: 'train2\cat\cat.1.jpg'

ypwhs · 2019-08-31T10:34:04Z

我出现Traceback (most recent call last):
File "gap.py", line 29, in
write_gap(ResNet50, (224, 224))
File "gap.py", line 23, in write_gap
train = model.predict_generator(train_generator)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1298, in predict_generator
callbacks=callbacks)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\engine\training_generator.py", line 220, in model_iteration
batch_data = _get_next_batch(generator, mode)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\engine\training_generator.py", line 362, in _get_next_batch
generator_output = next(generator)
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\utils\data_utils.py", line 785, in get
six.reraise(*sys.exc_info())
File "D:\新建文件夹\python\lib\site-packages\six.py", line 693, in reraise
raise value
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\utils\data_utils.py", line 779, in get
inputs = self.queue.get(block=True).get()
File "D:\新建文件夹\python\lib\multiprocessing\pool.py", line 657, in get
raise self._value
File "D:\新建文件夹\python\lib\multiprocessing\pool.py", line 121, in worker
result = (True, func(*args, **kwds))
File "D:\新建文件夹\python\lib\site-packages\tensorflow\python\keras\utils\data_utils.py", line 571, in get_index
return _SHARED_SEQUENCES[uid][i]
File "D:\新建文件夹\python\lib\site-packages\keras_preprocessing\image\iterator.py", line 65, in getitem
return self._get_batches_of_transformed_samples(index_array)
File "D:\新建文件夹\python\lib\site-packages\keras_preprocessing\image\iterator.py", line 226, in _get_batches_of_transformed_samples
interpolation=self.interpolation)
File "D:\新建文件夹\python\lib\site-packages\keras_preprocessing\image\utils.py", line 104, in load_img
img = pil_image.open(path)
File "D:\新建文件夹\python\lib\site-packages\PIL\Image.py", line 2770, in open
fp = builtins.open(filename, "rb")
OSError: [Errno 22] Invalid argument: 'train2\cat\cat.1.jpg'

你可以尝试使用 Ubuntu，或者你也可以尝试对 Windows 进行适配。

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运行gap.ipynb出现错误AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample' #21

运行gap.ipynb出现错误AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample' #21

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运行gap.ipynb出现错误AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample' #21

运行gap.ipynb出现错误AttributeError: 'DirectoryIterator' object has no attribute 'nb_sample' #21

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