unity-cv-datasetvisualizer 0.1.2

This Python based tool allows you to visualize datasets created using Unity Computer Vision tools.

Unity Computer Vision Dataset Visualizer

This Python based tool allows you to visualize datasets created using Unity Computer Vision tools.

Requirements

• Windows 10 or OSX
• Chrome, Firefox, or Safari 14 and newer (Older versions of Safari are not supported)
• Python 3.7 or 3.8. Note that this application is not compatible with Python 3.9.

Running the visualizer

Run the command:

datasetvisualizer

Or if you want to specify a path to a dataset:

datasetvisualizer --data="<path_to_dataset>"

This command may take a few seconds to execute. Once it is done, your browser will automatically open to http://localhost:8501/ and display the application. If that does not happen, open a new browser tab and manually navigate to that address.

Once in the application, you will be prompted to select a dataset folder. Click Change Dataset at the left side of the screen and then select the root folder of your Unity Computer Vision dataset.

Known issues

• The tool cannot open a dataset that has no labeler data (bounding boxes, semantic segmentation, etc.)
• On Windows: a warning appears when launching the app (This can be ignored)
• 3D bounding boxes are not rendered properly when the camera is inside the box.
• Opening a folder that isn't a dataset folder may hang the program (The workaround is: kill the process and start it again)