andrew
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- config.yaml canonical for stream/models/counting/batch/output/camera - models.modes hold engines+class filters only; conf/iou/min_bbox in detection_params - predict.py derives tracker roles structurally (no per-mode branching) - dashboard mode switch validates + persists atomically to config.yaml - .env keeps secrets/deployment only; zones.json geometry; tracker.yaml hyperparams - batch_mode.json keeps manual/auto batch mode; legacy model_mode ignored w/ warning - src/detection+tracking gain iou param (default 0.7 = no behavior change)
134 lines
4.1 KiB
YAML
134 lines
4.1 KiB
YAML
# config.yaml — canonical configuration for the production pipeline
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# (predict.py + counter_dashboard.py). Single source of truth.
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#
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# Secrets & deployment-specific values (RTSP_URL, dashboard host/ports,
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# SECRET_KEY, SITE_NAME) stay in .env — they are NOT duplicated here.
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# Zone polygons stay in zones.json. Tracker hyperparams stay in cfg/tracker.yaml.
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#
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# Model modes: add new entries under models.modes (E, F, ...) without code changes.
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# A mode only selects engines + class filters; per-class conf/iou/min_bbox_area
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# live in models.detection_params and apply to ALL modes.
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stream:
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resolution: [1280, 720]
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inference_stride: 2
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models:
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active_mode: "C" # A|B|C|D (+ future E, F, ...). Dashboard switch writes here (manual restart to apply).
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# Engine file paths (relative to repo root). Mode `engines` entries reference these keys.
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paths:
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combined: "models/v4-best.engine"
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truck_only: "models/v4-best.engine"
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sack_only: "models/best.engine"
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box: "models/yolo11n-bbox-100ep-sack+box-20260909-best.engine"
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truck_detector: "models/truck-detector.engine"
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# Mode presets: engines to load + class filters. NOTHING else per mode.
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# Each engine declares the classes it contributes, so tracker roles
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# (shared vs dedicated, separate truck model) derive structurally —
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# new modes need zero Python changes.
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modes:
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A:
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description: "Combined v4 sack+truck only (legacy, no box counting)"
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engines:
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- path: combined
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classes: [truck, sack]
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class_filters:
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truck: ["truck"]
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sack: ["sack"]
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box: []
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B:
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description: "v4 truck-only + yolo11n sack+box (shared tracker, shared ID space)"
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engines:
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- path: truck_only
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classes: [truck]
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- path: box
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classes: [sack, box]
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class_filters:
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truck: ["truck"]
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sack: ["sack"]
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box: ["box"]
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C:
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description: "Combined v4 sack+truck + yolo11n box-only (dedicated tracker)"
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engines:
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- path: combined
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classes: [truck, sack]
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- path: box
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classes: [box]
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class_filters:
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truck: ["truck"]
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sack: ["sack"]
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box: ["box"]
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D:
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description: "v4 truck-only + best sack-only + yolo11n box-only (3 engines)"
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engines:
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- path: truck_only
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classes: [truck]
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- path: sack_only
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classes: [sack]
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- path: box
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classes: [box]
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class_filters:
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truck: ["truck"]
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sack: ["sack"]
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box: ["box"]
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# Shared per-class detection params (ALL modes). iou default = Ultralytics default.
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# min_bbox_area is a permissive guardrail in px^2 @1280x720 (existing
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# perspective min_valid_area filter still applies on top).
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detection_params:
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truck:
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conf: 0.35
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iou: 0.7
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min_bbox_area: 5000
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sack:
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conf: 0.35
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iou: 0.7
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min_bbox_area: 1500
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box:
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conf: 0.35
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iou: 0.7
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min_bbox_area: 1500
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# Polygons live in zones.json (kept separate: site calibration cadence).
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zones:
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config_file: "zones.json"
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# Tracker hyperparams live in cfg/tracker.yaml (kept separate: ML tuning cadence).
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tracker:
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config_file: "cfg/tracker.yaml"
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counting:
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confirm_delay_sec: 0.5
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exit_confirm_delay_sec: 6.0
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entry_overlap_threshold: 0.20
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exit_overlap_threshold: 0.05
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camera_noise_deadband: 50
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# Effective values below match zones.json (which previously overrode predict.py defaults).
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duplicate_circle_radius: 30
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min_valid_area: 15000
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max_reid_transit_distance: 400
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circle_stay_timeout_sec: 10.0
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jarak_toleransi_duplikat: 30
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tolerance_missing_frames: 1200
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batch:
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timeout_seconds: 30.0
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merge_threshold_seconds: 300
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daily_cutoff_time: "06:00"
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output:
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dir: "/opt/jetson-counter"
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db_name: "jetson_counter.db"
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state_file: "current_batch.json"
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# batch_mode_file is DEPRECATED: dashboard now persists the mode switch to
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# models.active_mode in this file. Key kept so old deployments can be detected.
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batch_mode_file: "batch_mode.json"
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live_frame_path: "/dev/shm/jetson-counter/live_frame.jpg"
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live_status_path: "/dev/shm/jetson-counter/live_status.json"
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camera:
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name: "CC1"
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object_label: "karung-pakan"
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