mirror of
https://github.com/clearml/clearml
synced 2025-01-31 09:07:00 +00:00
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import os
|
|
from time import sleep
|
|
|
|
import pandas as pd
|
|
import numpy as np
|
|
from PIL import Image
|
|
from clearml import Task
|
|
|
|
|
|
# Connecting ClearML with the current process,
|
|
# from here on everything is logged automatically
|
|
task = Task.init(project_name='examples', task_name='artifacts example')
|
|
|
|
df = pd.DataFrame(
|
|
{
|
|
'num_legs': [2, 4, 8, 0],
|
|
'num_wings': [2, 0, 0, 0],
|
|
'num_specimen_seen': [10, 2, 1, 8]
|
|
},
|
|
index=['falcon', 'dog', 'spider', 'fish']
|
|
)
|
|
|
|
# Register Pandas object as artifact to watch
|
|
# (it will be monitored in the background and automatically synced and uploaded)
|
|
task.register_artifact('train', df, metadata={'counting': 'legs', 'max legs': 69})
|
|
# change the artifact object
|
|
df.sample(frac=0.5, replace=True, random_state=1)
|
|
# or access it from anywhere using the Task's get_registered_artifacts()
|
|
Task.current_task().get_registered_artifacts()['train'].sample(frac=0.5, replace=True, random_state=1)
|
|
|
|
# add and upload pandas.DataFrame (onetime snapshot of the object)
|
|
task.upload_artifact('Pandas', artifact_object=df)
|
|
# add and upload local file artifact
|
|
task.upload_artifact('local file', artifact_object=os.path.join('data_samples', 'dancing.jpg'))
|
|
# add and upload dictionary stored as JSON)
|
|
task.upload_artifact('dictionary', df.to_dict())
|
|
# add and upload Numpy Object (stored as .npz file)
|
|
task.upload_artifact('Numpy Eye', np.eye(100, 100))
|
|
# add and upload Image (stored as .png file)
|
|
im = Image.open(os.path.join('data_samples', 'dancing.jpg'))
|
|
task.upload_artifact('pillow_image', im)
|
|
# add and upload a folder, artifact_object should be the folder path
|
|
task.upload_artifact('local folder', artifact_object=os.path.join('data_samples'))
|
|
# add and upload a wildcard
|
|
task.upload_artifact('wildcard jpegs', artifact_object=os.path.join('data_samples', '*.jpg'))
|
|
# do something here
|
|
sleep(1.)
|
|
print(df)
|
|
|
|
# we are done
|
|
print('Done')
|