ClearMLVisBackend¶

class mmengine.visualization.ClearMLVisBackend(save_dir=None, init_kwargs=None, artifact_suffix=('.py', '.pth'))[source]¶

Clearml visualization backend class. It requires clearml to be installed.

Examples

>>> from mmengine.visualization import ClearMLVisBackend
>>> from mmengine import Config
>>> import numpy as np
>>> vis_backend = ClearMLVisBackend(save_dir='temp_dir')
>>> img = np.random.randint(0, 256, size=(10, 10, 3))
>>> vis_backend.add_image('img.png', img)
>>> vis_backend.add_scalar('mAP', 0.6)
>>> vis_backend.add_scalars({'loss': 0.1,'acc':0.8})
>>> cfg = Config(dict(a=1, b=dict(b1=[0, 1])))
>>> vis_backend.add_config(cfg)

Parameters

save_dir (str, optional) – Useless parameter. Just for interface unification. Defaults to None.
init_kwargs (dict, optional) – A dict contains the arguments of clearml.Task.init . See taskinit for more details. Defaults to None
artifact_suffix (Tuple[str] or str) – The artifact suffix. Defaults to (‘.py’, ‘pth’).

add_config(config, **kwargs)[source]¶

Record the config to clearml.

Parameters: config (Config) – The Config object
Return type: None

add_image(name, image, step=0, **kwargs)[source]¶

Record the image to clearml.

Parameters

name (str) – The image identifier.
image (np.ndarray) – The image to be saved. The format should be RGB.
step (int) – Global step value to record. Defaults to 0.

Return type

None

add_scalar(name, value, step=0, **kwargs)[source]¶

Record the scalar data to clearml.

Parameters

name (str) – The scalar identifier.
value (int, float, torch.Tensor, np.ndarray) – Value to save.
step (int) – Global step value to record. Defaults to 0.

Return type

None

add_scalars(scalar_dict, step=0, file_path=None, **kwargs)[source]¶

Record the scalar’s data to clearml.

Parameters

scalar_dict (dict) – Key-value pair storing the tag and corresponding values.
step (int) – Global step value to record. Defaults to 0.
file_path (str, optional) – Useless parameter. Just for interface unification. Defaults to None.

Return type

None

close()[source]¶

Close the clearml.

Return type: None

property experiment¶: Return clearml object.