TrackEval
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HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
I am trying to compute MOT metrics. I logically assumed that the **conf** column describes the confidence of an observation (a float between 0 and 1). However, recently I've found...
I am experimenting quite a lot with trackers and continuously evaluating on MOT17. Even with a multi-gpu setup the evaluation process is very time consuming. Is there an easy way...
According to: https://github.com/JonathonLuiten/TrackEval/blob/ec237ec3ef654548fdc1fa1e100a45b31a6d4499/trackeval/datasets/mots_challenge.py#L33 It should be possible to specify seq + their associated timesteps such that the `seqinfo.ini` files are not needed. How should the input data look like for...
First of all thank you for your work on this repository! I'm using this repository to evaluate my custom tracking algorithm and I'm getting MOTP values of around 85%. I'm...
Hi~ Thanks for your excellent work! Could the current codebase support BEV or 3D tracking? And if not, how could I modify it to achieve this? Looking forward to your...
like add a option for draw and output video
In newer numpy versions `np.float` is deprecated. I suggest you change all these: https://github.com/JonathonLuiten/TrackEval/search?q=np.float&type=code For: `np.float64`
This causes os.path.join(self.output_fol,tracker,self.output_sub_fol) in the function get_output_fol(self,tracker) to throw an error.