Highlights

Scenarios added

Tracking:

• Added state-of-the-art support for multi-object tracking based on the FairMOT approach described in the 2020 paper "A Simple Baseline for Multi-Object Tracking".
• Reproduced published accuracies on the popular MOT research benchmark datasets.
• Notebooks for training using a custom dataset, and for reproducing results on the MOT dataset.

Action Recognition

• Added state-of-the-art support for action recognition from video based on the R(2+1)D approach described in the 2019 paper "Large-scale weakly-supervised pre-training for video action recognition".
• Reproduced published accuracies on the popular HMDB-51 research benchmark dataset.
• Notebooks for training using a custom dataset, and for reproducing results on the HMDB-51 dataset.