How to evaluate posetrack dataset with `tracker.py`?

[SeanSyue]

@YuliangXiu I want to evaluate pose track performance on posetrack-val2018 dataset and I've read your reply in this issue, where you just mentioned:

you can obtain the pose_coordinates from trainset and validset of PoseTrack dataset(json or mat files in posetrack_data/annotations). Otherwise, you need to generate pose_coordinates via Multi-Person Pose Estimation Framework, such as AlphaPose.

If I was right, then evaluating on posetrack dataset no need to do pose estimation beforehead?
Then I found this line in 'tracker.py'. Seems that it is a result json file generated by AlphaPose.

So here is my question:

1. tracker.py is a general solution for unlabeled data? and
2. If I want to evaluate the origin posetrack dataset, I need to modify tracker.py?

[YuliangXiu]

1. yes, it's a general solution for any multi-person image
2. no, but if you want to test on some new dataset, you need to modify it

[SeanSyue]

@YuliangXiu OK, I understand. So if I want to evaluate posetrack-2018 dataset, which value should I assign in this line in tracker.py?

[YuliangXiu]

this file was generated from AlphaPose, you need to do pose estimation on dataset and then do pose tracking on the estimated results. You need to read the README.md carefully.

[YuliangXiu]

PoseFlow(General Version) has already been released, now you can do pose tracking on any private dataset, the new version also supports pose tracking results visualization.