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Video Predictions Visualizer

A relatively bare-bones interface for visualizing per-frame predictions and groundtruth labels on video data.

Click to play

Usage

Since everyone stores their predictions and groundtruth in a variety of formats, you'll need to write some code to allow the visualizer to access your data.

The basic steps are:

  1. Implement a DataLoader which implements the abstract methods in data_loaders/data_loader.py. Here's an example that I wrote and is used for the demo above.
  2. "Register" your DataLoader data_loaders/__init__.py, similar to how the MultiThumosDataLoader is, currently.
  3. Create a .cfg file for your data loader, similar to video_visualizer.cfg. Note that the DATA_LOADER_CONFIG config option will be passed as keyword arguments to your DataLoader.

Finally, you can run the server!

export FLASK_APP=video_visualizer.py FLASK_CONFIG=video_visualizer.cfg
flask run