Classifying Images using Data Augmentation のレビュー

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PermissionDeniedError Traceback (most recent call last) Cell In[4], line 17 13 label_int = rec['label_int'] 14 return img, label_int 16 train_dataset = tf.data.TFRecordDataset( ---> 17 [filename for filename in tf.io.gfile.glob( 18 'gs://practical-ml-vision-book/flowers_tfr/train-*') 19 ], compression_type='GZIP').map(parse_tfr) 21 f, ax = plt.subplots(1, 5, figsize=(15,15)) 22 for idx, (img, label_int) in enumerate(train_dataset.take(5)): File /opt/conda/lib/python3.10/site-packages/tensorflow/python/lib/io/file_io.py:441, in get_matching_files_v2(pattern) 387 r"""Returns a list of files that match the given pattern(s). 388 389 The patterns are defined as strings. Supported patterns are defined (...) 435 errors.NotFoundError: If pattern to be matched is an invalid directory. 436 """ 437 if isinstance(pattern, six.string_types): 438 return [ 439 # Convert the filenames to string from bytes. 440 compat.as_str_any(matching_filename) --> 441 for matching_filename in _pywrap_file_io.GetMatchingFiles( 442 compat.as_bytes(pattern)) 443 ] 444 else: 445 return [ 446 # Convert the filenames to string from bytes. 447 compat.as_str_any(matching_filename) # pylint: disable=g-complex-comprehension (...) 450 compat.as_bytes(single_filename)) 451 ] PermissionDeniedError: Error executing an HTTP request: HTTP response code 403 with body '{ "error": { "code": 403, "message": "764933341918-compute@developer.gserviceaccount.com does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exist).", "errors": [ { "message": "764933341918-compute@developer.gserviceaccount.com does not have storage.objects.list access to the Google Cloud Storage bucket. Permission 'storage.objects.list' denied on resource (or it may not exis' when reading gs://practical-ml-vision-book/flowers_tfr

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