56 lines
3.8 KiB
YAML
56 lines
3.8 KiB
YAML
%YAML:1.0
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####################################################################################################
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# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
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#
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# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
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# property and proprietary rights in and to this material, related
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# documentation and any modifications thereto. Any use, reproduction,
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# disclosure or distribution of this material and related documentation
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# without an express license agreement from NVIDIA CORPORATION or
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# its affiliates is strictly prohibited.
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####################################################################################################
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BaseConfig:
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minDetectorConfidence: 0.1345 # If the confidence of a detector bbox is lower than this, then it won't be considered for tracking
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TargetManagement:
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enableBboxUnClipping: 0 # In case the bbox is likely to be clipped by image border, unclip bbox
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maxTargetsPerStream: 300 # Max number of targets to track per stream. Recommended to set >10. Note: this value should account for the targets being tracked in shadow mode as well. Max value depends on the GPU memory capacity
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# [Creation & Termination Policy]
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minIouDiff4NewTarget: 0.5780 # If the IOU between the newly detected object and any of the existing targets is higher than this threshold, this newly detected object will be discarded.
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minTrackerConfidence: 0.8216 # If the confidence of an object tracker is lower than this on the fly, then it will be tracked in shadow mode. Valid Range: [0.0, 1.0]
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probationAge: 5 # 5 # If the target's age exceeds this, the target will be considered to be valid.
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maxShadowTrackingAge: 26 # Max length of shadow tracking. If the shadowTrackingAge exceeds this limit, the tracker will be terminated.
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earlyTerminationAge: 1 # If the shadowTrackingAge reaches this threshold while in TENTATIVE period, the the target will be terminated prematurely.
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TrajectoryManagement:
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useUniqueID: 0 # Use 64-bit long Unique ID when assignining tracker ID. Default is [true]
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DataAssociator:
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dataAssociatorType: 0 # the type of data associator among { DEFAULT= 0 }
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associationMatcherType: 1 # the type of matching algorithm among { GREEDY=0, CASCADED=1 }
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checkClassMatch: 1 # If checked, only the same-class objects are associated with each other. Default: true
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# [Association Metric: Thresholds for valid candidates]
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minMatchingScore4Overall: 0.2543 # Min total score
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minMatchingScore4SizeSimilarity: 0.4019 # Min bbox size similarity score
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minMatchingScore4Iou: 0.2159 # Min IOU score
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matchingScoreWeight4SizeSimilarity: 0.1365 # Weight for the Size-similarity score
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matchingScoreWeight4Iou: 0.3836 # Weight for the IOU score
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# [Association Metric: Tentative detections] only uses iou similarity for tentative detections
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tentativeDetectorConfidence: 0.2331 # If a detection's confidence is lower than this but higher than minDetectorConfidence, then it's considered as a tentative detection
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minMatchingScore4TentativeIou: 0.2867 # Min iou threshold to match targets and tentative detection
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usePrediction4Assoc: 1 # use the predicted state info for association instead of the past known states
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StateEstimator:
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stateEstimatorType: 2 # the type of state estimator among { DUMMY=0, SIMPLE=1, REGULAR=2 }
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# [Dynamics Modeling]
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noiseWeightVar4Loc: 0.0301 # weight of process and measurement noise for bbox center; if set, location noise will be proportional to box height
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noiseWeightVar4Vel: 0.0017 # weight of process and measurement noise for velocity; if set, velocity noise will be proportional to box height
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useAspectRatio: 1 # use aspect ratio in Kalman filter's observation
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