roboflow
Include DEEP SORT TRACKING
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Description
Would you consider including DEEP SORT Tracker in Supervision ?
Use case
No response
Additional
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Are you willing to submit a PR?
- [ ] Yes I'd like to help by submitting a PR!
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.
@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