我从头开始构建了Inception V3模型。当我尝试使用Kaggle上流行的狗和猫数据集训练我的模型时，遇到了图执行错误。原因可能是我的数据集；我猜测有些数据不在RGB范围内，或者可能是其他原因。
模型编译
model.compile(optimizer=Adam(learning_rate=0.0001),loss = 'categorical_crossentropy', metrics= ['accuracy'])数据预处理
train_batches = ImageDataGenerator(preprocessing_function=tf.keras.applications.inception_v3.preprocess_input) \ .flow_from_directory(directory=trin_path, target_size=(299,299), classes=['dogs', 'cats'], batch_size=10)valid_batches = ImageDataGenerator(preprocessing_function=tf.keras.applications.inception_v3.preprocess_input) \ .flow_from_directory(directory=valid_path, target_size=(299,299), classes=['dogs', 'cats'], batch_size=10)test_batches = ImageDataGenerator(preprocessing_function=tf.keras.applications.inception_v3.preprocess_input) \ .flow_from_directory(directory=test_path, target_size=(299,299), classes=['dogs', 'cats'], batch_size=10, shuffle=False)模型拟合
r = model.fit(x=train_batches, validation_data=valid_batches, epochs=5)错误发生
Epoch 1/5 72/500 [===>..........................] - ETA: 1:14 - loss: 0.6929 - accuracy: 0.6042/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 32 bytes but only got 0. Skipping tag 270 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 5 bytes but only got 0. Skipping tag 271 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 8 bytes but only got 0. Skipping tag 272 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 8 bytes but only got 0. Skipping tag 282 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 8 bytes but only got 0. Skipping tag 283 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 20 bytes but only got 0. Skipping tag 306 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:770: UserWarning: Possibly corrupt EXIF data. Expecting to read 48 bytes but only got 0. Skipping tag 532 " Skipping tag %s" % (size, len(data), tag)/usr/local/lib/python3.7/dist-packages/PIL/TiffImagePlugin.py:788: UserWarning: Corrupt EXIF data. Expecting to read 2 bytes but only got 0. warnings.warn(str(msg))500/500 [==============================] - ETA: 0s - loss: 0.6609 - accuracy: 0.6318---------------------------------------------------------------------------UnknownError Traceback (most recent call last)<ipython-input-90-bd0e48768399> in <module>()----> 1 r = model.fit(x=train_batches,validation_data=valid_batches,epochs=5)1 frames/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name) 53 ctx.ensure_initialized() 54 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,---> 55 inputs, attrs, num_outputs) 56 except core._NotOkStatusException as e: 57 if name is not None:UnknownError: Graph execution error:2 root error(s) found. (0) UNKNOWN: UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fb8672df290>Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/ops/script_ops.py", line 271, in __call__ ret = func(*args) File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/autograph/impl/api.py", line 642, in wrapper return func(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/tensorflow/python/data/ops/dataset_ops.py", line 1004, in generator_py_func values = next(generator_state.get_iterator(iterator_id)) File "/usr/local/lib/python3.7/dist-packages/keras/engine/data_adapter.py", line 830, in wrapped_generator for data in generator_fn(): File "/usr/local/lib/python3.7/dist-packages/keras/engine/data_adapter.py", line 956, in generator_fn yield x[i] File "/usr/local/lib/python3.7/dist-packages/keras_preprocessing/image/iterator.py", line 65, in __getitem__ return self._get_batches_of_transformed_samples(index_array) File "/usr/local/lib/python3.7/dist-packages/keras_preprocessing/image/iterator.py", line 230, in _get_batches_of_transformed_samples interpolation=self.interpolation) File "/usr/local/lib/python3.7/dist-packages/keras_preprocessing/image/utils.py", line 114, in load_img img = pil_image.open(io.BytesIO(f.read())) File "/usr/local/lib/python3.7/dist-packages/PIL/Image.py", line 2896, in open "cannot identify image file %r" % (filename if filename else fp)PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7fb8672df290> [[{{node PyFunc}}]] [[IteratorGetNext]] (1) CANCELLED: Function was cancelled before it was started0 successful operations.0 derived errors ignored. [Op:__inference_test_function_69081]回答：
一些图像的EXIF数据损坏，因此在训练过程中PIL读取图像失败。
可能的解决方法：
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PIL：请先从训练集中删除损坏的图像，例如，PetImages/Cat/666.jpg和PetImages/Dog/11702.jpg。另请参考https://www.kaggle.com/code/sushovansaha9/cat-dog-classification-transferlearning-ipynb。
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PIL：删除EXIF数据但保留图像。
import piexif piexif.remove(filename)
- tf.io：仅读取图像而不删除任何图像或EXIF数据：
file = tf.io.read_file(filename)image = tf.image.decode_jpeg(file)
