5667af96dade79ef77194d519182d4989494b3a4,ludwig/features/image_feature.py,ImageBaseFeature,add_feature_data,#Any#Any#Any#Any#Any#,192
Before Change
height,
should_resize,
num_channels,
preprocessing_parameters["resize_method"],
user_specified_num_channels
)
try:
After Change
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):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
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
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: microsoft/nni
Commit Name: 41e587038a32db002178329a64224ea6a5b2a5f9
Time: 2019-09-15
Author: 40699903+liuzhe-lz@users.noreply.github.com
File Name: src/sdk/pynni/nni/msg_dispatcher.py
Class Name: MsgDispatcher
Method Name: _handle_final_metric_data