Include DEEP SORT TRACKING

[yeongnamtan]

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Description

Would you consider including DEEP SORT Tracker in Supervision ?

Use case

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[SkalskiP]

Hi, @yeongnamtan! 👋🏻 Correct me if I'm wrong, but DeepSort requires loading the model in PyTorch or TensorFlow. We are trying to make Supervision not require installation of such heavy dependencies.

[yeongnamtan]

@SkalskiP I did a comparison between ByteTrack (using LINE COUNTER), and DeepSort for the same source video. DeepSort performed much better in terms of counting.

For ByteTrack, my settings as follow:
byte_tracker = sv.ByteTrack(track_thresh=0.3, track_buffer=60, match_thresh=0.9, frame_rate=30)

For DeepSort, confidence level same at 30%
DEEPSORT:
MODEL_TYPE: "osnet_x_25"
MAX_DIST: 0.1 # The matching threshold. Samples with larger distance are considered an invalid match
MAX_IOU_DISTANCE: 0.7 # Gating threshold. Associations with cost larger than this value are disregarded.
MAX_AGE: 30 # Maximum number of missed misses before a track is deleted
N_INIT: 3 # Number of frames that a track remains in initialization phase
NN_BUDGET: 100 # Maximum size of the appearance descriptors gallery