2021-06-20 22:00:16 +00:00
|
|
|
---
|
2022-03-06 11:00:46 +00:00
|
|
|
title: Experiment Dataviews
|
2021-06-20 22:00:16 +00:00
|
|
|
---
|
|
|
|
|
|
|
|
While an experiment is running, and any time after it finishes, results are tracked and can be visualized in the ClearML
|
|
|
|
Enterprise WebApp (UI).
|
|
|
|
|
2022-01-13 11:20:11 +00:00
|
|
|
In addition to all of ClearML's offerings, ClearML Enterprise keeps track of the Dataviews associated with an
|
2021-06-20 22:00:16 +00:00
|
|
|
experiment, which can be viewed and [modified](webapp_exp_modifying.md) in the WebApp.
|
|
|
|
|
2021-09-09 10:17:46 +00:00
|
|
|
## Viewing an Experiment's Dataviews
|
2021-06-20 22:00:16 +00:00
|
|
|
|
|
|
|
In an experiment's page, go to the **DATAVIEWS** tab to view all the experiment's Dataview details, including:
|
2022-03-06 11:00:46 +00:00
|
|
|
* Input data [selection](#input) and [filtering](#filtering)
|
2021-06-20 22:00:16 +00:00
|
|
|
* ROI [mapping](#mapping) (label translation)
|
|
|
|
* [Label enumeration](#label-enumeration)
|
|
|
|
* On-the-fly [data augmentation](#augmentation)
|
|
|
|
* [Iteration controls](#iteration-control)
|
|
|
|
|
|
|
|
![image](../../img/hyperdatasets/web-app/dataview_tab.png)
|
|
|
|
|
|
|
|
### Input
|
|
|
|
|
|
|
|
SingleFrames are iterated from the Dataset versions specified in the **INPUT** area, in the **SELECTED DATAVIEW** drop-down
|
|
|
|
menu.
|
|
|
|
|
|
|
|
|
|
|
|
### Filtering
|
|
|
|
|
|
|
|
The **FILTERING** section lists the SingleFrame filters iterated by a Dataview, applied to the experiment data.
|
|
|
|
|
|
|
|
Each frame filter is composed of:
|
|
|
|
* A Dataset version to input from
|
|
|
|
* ROI Rules for SingleFrames to include and / or exclude certain criteria.
|
|
|
|
* Weights for debiasing input data.
|
|
|
|
|
|
|
|
Combinations of frame filters can implement complex querying.
|
|
|
|
|
|
|
|
For more detailed information, see [Filtering](../dataviews.md#filtering).
|
|
|
|
|
|
|
|
### Mapping
|
|
|
|
|
|
|
|
ROI label mapping (label translation) applies to the new model. For example, use ROI label mapping to accomplish the following:
|
|
|
|
|
|
|
|
* Combine several labels under another more generic label.
|
|
|
|
* Consolidate disparate datasets containing different names for the ROI.
|
|
|
|
* Hide labeled objects from the training process.
|
|
|
|
|
|
|
|
For detailed information, see [Mapping ROI labels](../dataviews.md#mapping-roi-labels).
|
|
|
|
|
2021-09-09 10:17:46 +00:00
|
|
|
### Label Enumeration
|
2021-06-20 22:00:16 +00:00
|
|
|
|
|
|
|
Assign label enumeration in the **LABELS ENUMERATION** area.
|
|
|
|
|
|
|
|
### Augmentation
|
|
|
|
|
|
|
|
On-the-fly data augmentation applied to SingleFrames, which does not create new data. Apply data Augmentation in steps,
|
|
|
|
where each step is composed of a method, an operation, and a strength.
|
|
|
|
|
|
|
|
For detailed information, see [Data augmentation](../dataviews.md#data-augmentation).
|
|
|
|
|
2021-09-09 10:17:46 +00:00
|
|
|
### Iteration Control
|
2021-06-20 22:00:16 +00:00
|
|
|
|
|
|
|
The input data iteration control settings determine the order, number, timing, and reproducibility of the Dataview iterating
|
|
|
|
SingleFrames. Depending upon the combination of iteration control settings, all SingleFrames may not be iterated, and some may repeat.
|
|
|
|
|
|
|
|
For detailed information, see [Iteration control](../dataviews.md#iteration-control).
|
|
|
|
|
|
|
|
|