flash.core.integrations.fiftyone.utils.visualize¶

flash.core.integrations.fiftyone.utils.visualize(predictions, filepaths=None, label_field='predictions', wait=False, **kwargs)[source]¶

Visualizes predictions from a model with a FiftyOne Output in the FiftyOne App.

This method can be used in all of the following environments:

Local Python shell: The App will launch in a new tab in your default web browser.
Remote Python shell: Pass the remote=True option to this method and then follow the instructions printed to your remote shell to open the App in your browser on your local machine.
Jupyter notebook: The App will launch in the output of your current cell.
Google Colab: The App will launch in the output of your current cell.
Python script: Pass the wait=True option to block execution of your script until the App is closed.

See this page for more information about using the FiftyOne App in different environments.

Parameters

predictions¶ (Union[List[object], List[Dict[str, object]]]) – Can be either a list of FiftyOne labels that will be matched with the corresponding filepaths, or a list of dictionaries with “filepath” and “predictions” keys that contains the filepaths and predictions.
filepaths¶ (Optional[List[str]]) – A list of filepaths to images or videos corresponding to the provided predictions.
label_field¶ (Optional[str]) – The name of the label field in which to store the predictions in the FiftyOne dataset.
wait¶ (Optional[bool]) – Whether to block execution until the FiftyOne App is closed.
**kwargs¶ – Optional keyword arguments for fiftyone:fiftyone.core.session.launch_app().

Return type

Optional[object]

Returns

a fiftyone.core.session.Session