更换文档检测模型

paddle_detection/deploy/pptracking/python/tracker_config.yml

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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