7d9db23a389499c2764fb850cd19f853cc3e8565,ludwig/features/image_feature.py,ImageBaseFeature,add_feature_data,#Any#Any#Any#Any#Any#,192
Before Change
data[feature["name"]][i, :, :, :] = img
except:
logger.error(
"Images are not of the same size. "
"Expected size is {}, "
"current image size is {}."
"Images are expected to be all of the same size"
"or explicit image width and height are expected"
"to be provided. "
"Additional information: https://uber.github.io/ludwig/user_guide///image-features-preprocessing"
.format(first_image.shape, img.shape)
)
raise
else:
data_fp = os.path.splitext(dataset_df.csv)[0] + ".hdf5"
After Change
user_specified_num_channels=user_specified_num_channels
)
all_file_paths = [get_abs_path(csv_path, file_path)
for file_path in dataset_df[feature["name"]]]
if feature["preprocessing"]["in_memory"]:
data[feature["name"]] = np.empty(
(num_images, height, width, num_channels),
dtype=np.uint8
)
with Pool(5) as pool:
logger.info("Using 5 processes for preprocessing images")
data[feature["name"]] = np.array(
pool.map(read_image_and_resize, all_file_paths)
)
else:
data_fp = os.path.splitext(dataset_df.csv)[0] + ".hdf5"
mode = "w"
if os.path.isfile(data_fp):
mode = "r+"
with h5py.File(data_fp, mode) as h5_file:
image_dataset = h5_file.create_dataset(
feature["name"] + "_data",
(num_images, height, width, num_channels),
dtype=np.uint8
)
for i, filepath in enumerate(all_file_paths):
image_dataset[i, :height, :width, :] = \
read_image_and_resize(filepath)
data[feature["name"]] = np.arange(num_images)
class ImageInputFeature(ImageBaseFeature, InputFeature):
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 7
Instances
Project Name: uber/ludwig
Commit Name: 7d9db23a389499c2764fb850cd19f853cc3e8565
Time: 2019-08-08
Author: smiryala@uber.com
File Name: ludwig/features/image_feature.py
Class Name: ImageBaseFeature
Method Name: add_feature_data
Project Name: ilastik/ilastik
Commit Name: 31987e99d495f8eafc83fa5294be44a746c51e19
Time: 2018-04-25
Author: carstenhaubold@googlemail.com
File Name: lazyflow/classifiers/pytorchLazyflowClassifier.py
Class Name: PyTorchLazyflowClassifier
Method Name: predict_probabilities_pixelwise
Project Name: ilastik/ilastik
Commit Name: eee44cb44984b803a0c4a0e6a2b41b48b200989e
Time: 2018-11-26
Author: carstenhaubold@googlemail.com
File Name: lazyflow/classifiers/pytorchLazyflowClassifier.py
Class Name: PyTorchLazyflowClassifier
Method Name: predict_probabilities_pixelwise
Project Name: uber/ludwig
Commit Name: 5667af96dade79ef77194d519182d4989494b3a4
Time: 2019-08-25
Author: smiryala@uber.com
File Name: ludwig/features/image_feature.py
Class Name: ImageBaseFeature
Method Name: add_feature_data