det

Compatibility with MMDetection

You may want to train a detector for multiple object tracking or other applications.

To be compatablie with MMDetection, you only need to add a line of USE_MMDET=True in the config and run it with the same manner in mmdetection.

A base example can be found at faster_rcnn_r50_fpn.py.

Please NOTE that there are some differences between the base config in MMTracking and MMDetection.

1. detector is only a submodule of the model.

   For example, the config of Faster R-CNN in MMDetection follows

   model = dict(
       type='FasterRCNN',
       ...
   )

   But in MMTracking, the config follows

   model = dict(
       detector=dict(
           type='FasterRCNN',
           ...
       )
   )

2. train_cfg and test_cfg are merged into model / detector.

   In MMDetection, the configs follows

   model = dict()
   train_cfg = dict()
   test_cfg = dict()

   While in MMTracking, the config follows

   model = dict(
       detector=dict(
           train_cfg=dict(),
           test_cfg=dict(),
           ...
       )
   )

We are putting efforts to bridge these gaps across different codebases and try to give simpler configs.