Keras 凯拉'；ImageDataGenerator随机崩溃
我有以下结构，我想从测试中读取jpg文件Keras 凯拉'；ImageDataGenerator随机崩溃,keras,Keras,我有以下结构，我想从测试中读取jpg文件 ./cats_dogs_small ├── test │ ├── cats <- 1000 images │ └── dogs <- 1000 images 每次运行时，我都会收到相同的错误消息： 2020-11-19 16:08:56.973416: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic li
./cats_dogs_small
├── test
│ ├── cats <- 1000 images
│ └── dogs <- 1000 images
2020-11-19 16:08:56.973416: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-11-19 16:08:56.973436: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Found 2000 images belonging to 2 classes.
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Traceback (most recent call last):
File "/~/Documents/keras/untitled0.py", line 30, in <module>
train_features, train_labels = extract_features(train_dir)
File "/~/Documents/keras/untitled0.py", line 25, in extract_features
for inputs_batch, labels_batch in generator:
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/iterator.py", line 104, in __next__
return self.next(*args, **kwargs)
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/iterator.py", line 116, in next
return self._get_batches_of_transformed_samples(index_array)
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/iterator.py", line 227, in _get_batches_of_transformed_samples
img = load_img(filepaths[j],
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/utils.py", line 114, in load_img
img = pil_image.open(io.BytesIO(f.read()))
File "/anaconda3/envs/keras28/lib/python3.8/site-packages/PIL/Image.py", line 2943, in open
raise UnidentifiedImageError(
UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f41286f3090>
2020-11-19 16:08:56.973416:W tensorflow/stream_executor/platform/default/dso_loader.cc:59]无法加载动态库“libcudart.so.10.1”；dlerror:libcudart.so.10.1:无法打开共享对象文件：没有此类文件或目录
2020-11-19 16:08:56.973436:I tensorflow/stream_executor/cuda/cudart_stub.cc:29]如果您的机器上没有设置GPU，请忽略上面的cudart dler错误。
找到了2000张属于2个类的图片。
01 2 3 4 5 6 7 8 9 10 11 12 14 15 17 18 19 20 21 22 23 24 25 27 28 30 31 32 33 35 36 37 38 39 40 41 42 44 45 46 47 48 49 50 51 52 54 55 56 57 58 59 60回溯（最后一次通话）：
文件“/~/Documents/keras/untitled0.py”，第30行，在
列车特征，列车标签=提取列车特征（列车方向）
文件“/~/Documents/keras/untitled0.py”，第25行，在extract_features中
对于输入\u批次，在生成器中标记\u批次：
文件“/.local/lib/python3.8/site packages/keras_preprocessing/image/iterator.py”，第104行，下一行__
返回self.next（*args，**kwargs）
文件“/.local/lib/python3.8/site packages/keras_preprocessing/image/iterator.py”，下一页第116行
返回self.\u获取\u批次\u转换的\u样本（索引\u数组）
文件“/.local/lib/python3.8/site packages/keras_preprocessing/image/iterator.py”，第227行，在转换样本的“获取批次”中
img=load_img（文件路径[j]，
文件“/.local/lib/python3.8/site packages/keras\u preprocessing/image/utils.py”，第114行，在load\u img中
img=pil_image.open（io.BytesIO（f.read（）））
打开文件“/anaconda3/envs/keras28/lib/python3.8/site packages/PIL/Image.py”，第2943行
引发无法识别的图像错误(
UnidentifiedImageError:无法识别图像文件
Keras版本：2.4.3检查路径是否存在，如果PIL能够打开JPEG文件，@Prabindh谢谢！运行您引用的代码，发现问题是损坏的图像。使用修复的图像重新运行上述代码，并按预期工作
2020-11-19 16:08:56.973416: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-11-19 16:08:56.973436: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Found 2000 images belonging to 2 classes.
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 Traceback (most recent call last):
File "/~/Documents/keras/untitled0.py", line 30, in <module>
train_features, train_labels = extract_features(train_dir)
File "/~/Documents/keras/untitled0.py", line 25, in extract_features
for inputs_batch, labels_batch in generator:
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/iterator.py", line 104, in __next__
return self.next(*args, **kwargs)
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/iterator.py", line 116, in next
return self._get_batches_of_transformed_samples(index_array)
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/iterator.py", line 227, in _get_batches_of_transformed_samples
img = load_img(filepaths[j],
File "/.local/lib/python3.8/site-packages/keras_preprocessing/image/utils.py", line 114, in load_img
img = pil_image.open(io.BytesIO(f.read()))
File "/anaconda3/envs/keras28/lib/python3.8/site-packages/PIL/Image.py", line 2943, in open
raise UnidentifiedImageError(
UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f41286f3090>