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_ds = \
... tf.data.Dataset.from_tensor_slices(all_image_paths)
>>> label_ds = \
... tf.data.Dataset.from_tensor_slices(tf.cast(all_image_labels, tf.int64))
>>> AUTOTUNE = tf.data.experimental.AUTOTUNE
>>> image_ds = \
... path_ds.map(load_and_preprocess_image, num_parallel_calls=AUTOTUNE)
>>> image_label_ds \
... = tf.data.Dataset.zip((image_ds, label_ds))
>>> ds = image_label_ds.apply(
... tf.data.experimental.shuffle_and_repeat(buffer_size=image_count))
>>> BATCH_SIZE = 32
>>>> ds = ds.batch(BATCH_SIZE)
>>>> ds = ds.prefetch(buffer_size=AUTOTUNE)]]>
構築するモデルは，入力層に MobileNet を用いるとする。
その MobileNet は，入力が [-1,1] の範囲に正規化されていることを想定している。
ds は画素値が [0, 1] の範囲なので，これを [-1,1] の範囲に変換する：
<![CDATA[>>> def change_range(image,label):
... return 2*image-1, label
>>> keras_ds = ds.map(change_range)
WARNING:tensorflow:AutoGraph could not transform <function change_range at 0x6071dae0> 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 <function change_range at 0x6071dae0>. 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
WARNING: AutoGraph could not transform <function change_range at 0x6071dae0> 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 <function change_range at 0x6071dae0>. 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]]>
|