如何识别带有“可能损坏的 EXIF 数据”的图像

Question

我正在参加 Kaggle 图像分类竞赛，并从 Kaggle.com 下载一些训练图像。然后我使用 ResNet50 的迁移学习来处理这些图像，在 Keras 2.0 和 Tensorflow 中作为背景（和 Python 3）。

然而，总共 1281 个训练图像中有 258 个具有“可能损坏的 EXIF 数据”并且在加载到 ResNet 模型时被忽略，很可能是由于枕头问题。

输出消息如下：

/home/shi/anaconda3/lib/python3.6/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data.  Expecting to read 524288 bytes but only got 0. Skipping tag 3
  "Skipping tag %s" % (size, len(data), tag))
/home/shi/anaconda3/lib/python3.6/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data.  Expecting to read 393216 bytes but only got 0. Skipping tag 3
  "Skipping tag %s" % (size, len(data), tag))
/home/shi/anaconda3/lib/python3.6/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data.  Expecting to read 33554432 bytes but only got 0. Skipping tag 4
  "Skipping tag %s" % (size, len(data), tag))
/home/shi/anaconda3/lib/python3.6/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data.  Expecting to read 25165824 bytes but only got 0. Skipping tag 4
  "Skipping tag %s" % (size, len(data), tag))
/home/shi/anaconda3/lib/python3.6/site-packages/PIL/TiffImagePlugin.py:692: UserWarning: Possibly corrupt EXIF data.  Expecting to read 131072 bytes but only got 0. Skipping tag 3
  "Skipping tag %s" % (size, len(data), tag))
(more to come ...)

根据输出消息，我只知道它们在那里，但不知道它们是哪些...

我的问题是：如何识别这 258 张图像，以便我可以手动将它们从数据集中删除？

Answer 1

我想到的最简单的方法是修改代码以一次处理一张图像，然后迭代每个图像并检查哪一个生成警告。