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# config of tracker for MOT SDE Detector, use 'OCSORTTracker' as default, 'JDETracker' here is just BYTETracker.
# The tracker of MOT JDE Detector (such as FairMOT) is exported together with the model.
# Here 'min_box_area' and 'vertical_ratio' are set for pedestrian, you can modify for other objects tracking.
type: BOTSORTTracker # choose one tracker in ['JDETracker', 'OCSORTTracker', 'DeepSORTTracker','BOTSORTTracker']
# When using for MTMCT(Multi-Target Multi-Camera Tracking), you should modify to 'DeepSORTTracker'
# just as BYTETracker, used for FairMOT in PP-Tracking project and for ByteTrack in PP-Humanv1 project
JDETracker:
use_byte: True
det_thresh: 0.3
conf_thres: 0.6
low_conf_thres: 0.1
match_thres: 0.9
min_box_area: 0
vertical_ratio: 0 # 1.6 for pedestrian
# used for OC-SORT in PP-Humanv2 project and PP-Vehicle project
OCSORTTracker:
det_thresh: 0.4
max_age: 30
min_hits: 3
iou_threshold: 0.3
delta_t: 3
inertia: 0.2
min_box_area: 0
vertical_ratio: 0
use_byte: False
use_angle_cost: False
# used for DeepSORT and MTMCT in PP-Tracking project
DeepSORTTracker:
input_size: [64, 192] # An unique operation to scale the sub-image of the selected detected boxes to a fixed size
min_box_area: 0
vertical_ratio: -1
budget: 100
max_age: 70
n_init: 3
metric_type: cosine
matching_threshold: 0.2
max_iou_distance: 0.9
BOTSORTTracker:
track_high_thresh: 0.3
track_low_thresh: 0.2
new_track_thresh: 0.4
match_thresh: 0.7
track_buffer: 30
min_box_area: 0
camera_motion: False
cmc_method: 'sparseOptFlow' # only camera_motion is True,
# sparseOptFlow | files (Vidstab GMC) | orb | ecc
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