mirror of
https://github.com/clearml/clearml
synced 2025-01-31 09:07:00 +00:00
69 lines
2.9 KiB
Python
69 lines
2.9 KiB
Python
# ClearML - example code, retrieve other task artifacts and print the artifacts
|
|
# Please run examples/reporting/artifacts.py example before running this example
|
|
#
|
|
from pprint import pprint
|
|
|
|
from clearml import Task
|
|
|
|
|
|
def main():
|
|
# Getting the task we want to get the artifacts from
|
|
artifacts_task = Task.get_task(
|
|
project_name='examples',
|
|
task_name='Artifacts example',
|
|
task_filter={'status': ['completed']}
|
|
)
|
|
|
|
# getting the numpy object back
|
|
numpy_artifact = artifacts_task.artifacts['Numpy Eye'].get()
|
|
print("numpy_artifact is:\n{}\n".format(numpy_artifact))
|
|
|
|
# download the numpy object as a npz file
|
|
download_numpy_artifact = artifacts_task.artifacts['Numpy Eye'].get_local_copy()
|
|
print("download_numpy_artifact path is:\n{}\n".format(download_numpy_artifact))
|
|
|
|
# getting the PIL Image object
|
|
pil_artifact = artifacts_task.artifacts['pillow_image'].get()
|
|
print("pil_artifact is:\n{}\n".format(pil_artifact))
|
|
|
|
# getting the pandas object
|
|
pandas_artifact = artifacts_task.artifacts['Pandas'].get()
|
|
print("pandas_artifact is:\n{}\n".format(pandas_artifact))
|
|
|
|
# getting the dictionary object
|
|
dictionary_artifact = artifacts_task.artifacts['dictionary'].get()
|
|
print("dictionary_artifact is:\n")
|
|
pprint(dictionary_artifact)
|
|
|
|
# getting the train DataFrame
|
|
df_artifact = artifacts_task.artifacts['train'].get()
|
|
print("df_artifact is:\n{}\n".format(df_artifact))
|
|
|
|
# download the train DataFrame csv in the same format as in the UI (gz file)
|
|
df_artifact_as_gz = artifacts_task.artifacts['train'].get_local_copy()
|
|
print("df_artifact_as_gz path is:\n{}\n".format(df_artifact_as_gz))
|
|
|
|
# download the wildcard jpegs images (getting the zip file already extracted into a cached folder),
|
|
# the path containing those will be returned
|
|
jpegs_artifact = artifacts_task.artifacts['wildcard jpegs'].get()
|
|
print("jpegs_artifact path is:\n{}\n".format(jpegs_artifact))
|
|
|
|
# download the local folder that was uploaded (getting the zip file already extracted into a cached folder),
|
|
# the path containing those will be returned
|
|
local_folder_artifact = artifacts_task.artifacts['local folder'].get()
|
|
print("local_folder_artifact path is:\n{}\n".format(local_folder_artifact))
|
|
|
|
# download the local folder that was uploaded (getting the zip file without extracting it),
|
|
# the path containing the zip file will be returned
|
|
local_folder_artifact_as_zip = artifacts_task.artifacts['local folder'].get_local_copy(extract_archive=False)
|
|
print("local_folder_artifact_as_zip path is:\n{}\n".format(local_folder_artifact_as_zip))
|
|
|
|
# download the local file that was uploaded (getting the zip file already extracted into a cached folder),
|
|
# the path containing this file will be returned
|
|
local_file_artifact = artifacts_task.artifacts['local file'].get()
|
|
print("local_file_artifact path is:\n{}\n".format(local_file_artifact))
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|