Pharos Visualization Widgets Instruction
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Graviti's data visualization widgets provide visualization support for a variety of data types and annotation data types, helping AI developers to quickly and intuitively grasp the content and quality of data and its annotation information, saving the time spent on identifying data.
Supported Data and Annotation Types
Data Types
File Types and Formats
Annotation Types
Image Types
Images (jpg, jpeg, png)
2D Box, 2D Polygon, 2D Polyline, 2D Keypoint, Classification
Point Cloud (bin, pcd, ply, las)
3D Box, Classification
Consecutive Frame Data
2D Box Tracking, 3D Box Tracking
Video (mp4)
Classification
Audio Types
Audio (MP3, wav, flac)
Transcription, Classification
Text Types
Text (txt)
Classification
Graviti’s visualization widgets support the visualization of a variety of image data, including multi-sensor data and continuous data. You can select the annotation type and data to be viewed in the upper left corner. In the case of multi-sensor data, select the frame to be viewed.
After selecting the annotation type and data, the selected data and the corresponding annotation type content will be visually displayed in the main window on the right. In the Annotation on the left, you can view the annotation information of the current data. After selecting one piece of annotation information, you can expand and display the corresponding attribute information.
The left side of the data visualization widgets is annotation list, which supports two viewing modes: by annotation and by category. By annotation mode shows the information of a single annotation and by category mode shows the statistics of all annotations under one category.
When the data has no annotation information, the list displays No Annotations to indicate that the data has been annotated, but there is no object to annotate; the list will display Not Annotated to indicate the data has not been annotated.
When visualizing the multi-sensor data, you can select the target sensor data to be viewed in the lower left corner of the main window; when visualizing the multi-sensor data containing both point cloud files and image files, you can put the image file into the small window for display, and click the small window to change the display content with the main window.
You can visualize continuous data including continuous frame data and video data by clicking Play/Pause, Previous Frame/Next Frame in the left corner of the main window.
From left to right, the buttons in the lower right corner are Switch between Light/Dark Mode, Share, View Help Doc and Fullscreen.
Graviti data visualization supports visualization of audio files and their annotations, allowing users to view data in the upper left corner. The annotation information is displayed in the right main window.
The window in the lower left corner can Play/Pause, Previous/Next File, and Play Speed and Volume.
The functions of the text data visualization are similar to that of the image data. The user can select the data to be viewed in the upper left corner; the annotation list on the left side shows the annotation information, and the main window on the right shows the original data information.
Graviti's label distribution visualization widgets support visualization of label statistics and attribute statistics in image datasets, enabling users to quickly grasp the distribution of labels and attribute information in the dataset.
Select the annotation type you need to view in the upper left corner.
In the left operation area, select label view mode (Category)
The right main window displays all label statistics for the current dataset under this annotation type.
In the left operation area, select label view mode and the right main window to switch to attribute information view mode.
Select the data layer you need to view in the menu on the right side. ALL means to view all data. Select the attribute category you need to view in the drop-down box in the upper right corner. The main window will show the distribution data of all attributes under the selected category.
The Graviti annotation distribution visualization widgets support three view modes: list, bar, and pie chart. Click the mode switch button in the left operation area to switch different display modes.
Bar Chart:
Pie Chart:
If there are too many data label types, the label distribution visualization widgets will not support the pie chart display mode.
