docs: generate ground-truth visualization videos for benchmark datasets

[SkalskiP]

Description

Generate sample videos for each benchmark dataset used in the Tracker Comparison documentation page. Each video takes ground-truth annotations (bounding boxes + IDs from the dataset's TXT files), draws them on the corresponding frames using the same visual style as the Tracker CLI, and exports a video. Three videos per dataset, four datasets total (12 videos). Upload to GitHub for review; the best one per dataset will later be embedded in the docs.

Tasks

• Identify and select three representative sequences from each of the four datasets (MOT17, SportsMOT, SoccerNet Tracking, DenseTrack). 12 sequences total.
• Write a script that loads ground-truth MOT TXT annotations and corresponding video frames for a given sequence, using the existing parsers in trackers/io/mot.py.
• Visualize annotations on each frame: draw bounding boxes and labels (tracker ID + class name if available) with black text at top-left, box and label background colored by tracker ID. Match the Tracker CLI visual style.
• Export each annotated sequence as a video file (MP4).
• Upload the 12 generated videos to GitHub for review. The best video per dataset will later be chosen for the documentation page.

[picjul]

Hi @SkalskiP!
Are you already working on it?
I can work on it over the next few days if you like

[SkalskiP]

Hi @picjul 👋🏻 yeach I've been working on that for the past few days. I'm sorry I didn't saw your message.

https://github.com/user-attachments/assets/e115d406-cd5b-4884-911a-604d19ff8bd7
https://github.com/user-attachments/assets/73ae735a-42db-4528-89ae-31731a1914d3
https://github.com/user-attachments/assets/7eec7e37-302e-4da0-9f98-2d96ae7053c6
https://github.com/user-attachments/assets/46cb4cfb-b4e2-4747-99f2-eaed5d88e019

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