ここまでの経過：
<![CDATA[$ source \[venv のパス\]/venv/bin/activate
(venv) $ python
>>> import tensorflow as tf
>>> tf.enable_eager_execution()
>>> TRAIN_DATA_URL = \
'https://storage.googleapis.com/download.tensorflow.org/example_images/flower_photos.tgz'
>>> data_root_orig = \
tf.keras.utils.get_file(origin=TRAIN_DATA_URL, fname='flower_photos', untar=True)
>>> import pathlib
>>> data_root = pathlib.Path(data_root_orig)
>>> all_image_paths = list(data_root.glob('*/*'))
>>> all_image_paths = [str(path) for path in all_image_paths]
>>> label_names = \
... sorted(item.name for item in data_root.glob('*/') if item.is_dir())
>>> label_to_index = \
... dict((name, index) for index,name in enumerate(label_names))
>>> all_image_labels = \
... [label_to_index[pathlib.Path(path).parent.name] for path in all_image_paths]
>>> def raw_to_tensor(path):
... image_raw = tf.io.read_file(path)
... return tf.image.decode_image(image_raw, channels=3)
...
>>> def load_and_preprocess_image(path):
... img_tensor = raw_to_tensor(path)
... img_final = tf.image.resize(img_tensor, [192, 192])
... img_final /= 255.0
... return image
... ]]>
- path dataset
<![CDATA[>>> path_ds = \
... tf.data.Dataset.from_tensor_slices(all_image_paths)
>>> print(path_ds)
<DatasetV1Adapter shapes: (), types: tf.string>]]>
- label dataset
<![CDATA[>>> label_ds = \
... tf.data.Dataset.from_tensor_slices(tf.cast(all_image_labels, tf.int64))
>>> for label in label_ds.take(10):
... print(label_names[label.numpy()])
...
dandelion
sunflowers
roses
dandelion
sunflowers
daisy
sunflowers
roses
sunflowers
daisy]]>
- image dataset
i
<![CDATA[>>> AUTOTUNE = tf.data.experimental.AUTOTUNE
>>> image_ds = \
... path_ds.map(load_and_preprocess_image, num_parallel_calls=AUTOTUNE)]]>
WARNING:tensorflow:
AutoGraph could not transform and will run it as-is.
Please report this to the TensorFlow team.
When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.
Cause: Unable to locate the source code of .
Note that functions defined in certain environments, like the interactive Python shell do not expose their source code.
If that is the case, you should to define them in a .py source file.
If you are certain the code is graph-compatible, wrap the call using @tf.autograph.do_not_convert.
Original error: could not get source code
image_ds の画像を表示：
<![CDATA[>>> import matplotlib.pyplot as plt
>>> plt.figure(figsize=(8,8))
<Figure size 800x800 with 0 Axes>
>>> for n,image in enumerate(image_ds.take(4)):
... plt.subplot(2,2,n+1)
... plt.imshow(image)
... plt.grid(False)
... plt.xticks([])
... plt.yticks([])
... plt.xlabel(caption_image(all_image_paths[n]))
... plt.show()
...
<AxesSubplot:>
<matplotlib.image.AxesImage object at 0x617a4b70>
([], [])
([], [])
Text(0.5, 0, 'Image (CC BY 2.0) by Taylor Hand')]]>
(画像のウィンドウが開く)
ウィンドウを閉じる
<![CDATA[<AxesSubplot:>
<matplotlib.image.AxesImage object at 0x5054b190>
([], [])
([], [])
Text(0.5, 0, 'Image (CC BY 2.0) by Andrea_44')]]>
(画像のウィンドウが開く)
ウィンドウを閉じる
<![CDATA[<AxesSubplot:>
<matplotlib.image.AxesImage object at 0x505776b0>
([], [])
([], [])
Text(0.5, 0, 'Image (CC BY 2.0) by u2tryololo')]]>
(画像のウィンドウが開く)
ウィンドウを閉じる
<![CDATA[<AxesSubplot:>
<matplotlib.image.AxesImage object at 0x4fc97c10>
([], [])
([], [])
Text(0.5, 0, 'Image (CC BY 2.0) by AJ Batac')]]>
(画像のウィンドウが開く)
ウィンドウを閉じる
- (image, label) dataset
image_ds と label_ds は，データの順番が同じ。
よって，zip することで (image, label) というペアのデータセットができる：
<![CDATA[>>> image_label_ds \
... = tf.data.Dataset.zip((image_ds, label_ds))
>>> print(image_label_ds)
<DatasetV1Adapter shapes: ((192, 192, 3), ()), types: (tf.float32, tf.int64)>]]>
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