mirror of
https://github.com/clearml/clearml
synced 2025-01-31 09:07:00 +00:00
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
|
from time import sleep
|
||
|
|
|
||
|
|
import pandas as pd
|
||
|
|
import numpy as np
|
||
|
|
from PIL import Image
|
||
|
|
from trains import Task
|
||
|
|
|
||
|
|
task = Task.init('examples', 'artifacts toy')
|
||
|
|
|
||
|
|
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
|
||
|
|
Task.current_task().artifacts['train'].sample(frac=0.5, replace=True, random_state=1)
|
||
|
|
|
||
|
|
# add and upload local file artifact
|
||
|
|
task.upload_artifact('local file', artifact_object='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('samples/dancing.jpg')
|
||
|
|
task.upload_artifact('pillow_image', im)
|
||
|
|
|
||
|
|
# do something
|
||
|
|
sleep(1.)
|
||
|
|
print(df)
|
||
|
|
|
||
|
|
# we are done
|
||
|
|
print('Done')
|