258 lines
11 KiB
Bash
258 lines
11 KiB
Bash
# =============================================================================
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# ZenAI KTC — Edge RK3588 sack feeder zone counter + dashboard
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# Shared config for: counter_live_rknn.py + counter_dashboard.py
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# Copy to .env on device: cp config.env.example .env && nano .env
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# =============================================================================
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# --- Core paths ---
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# Root output directory (logs, DB, video, CSV)
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OUTPUT_DIR=/opt/zenai-ktc-counter
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# SQLite database path for daily counter records & zone-entry logs
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DB_PATH=/opt/zenai-ktc-counter/ktc_counter.db
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# JSON file persisting the current active counting day state
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STATE_FILE=/opt/zenai-ktc-counter/current_counter.json
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# --- Input source ---
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# RTSP / HTTP live stream, or a local video file path
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SOURCE=rtsp://user:pass@192.168.0.100:554/stream1
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# FFmpeg capture options passed to cv2.VideoCapture (RTSP low-latency flags)
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OPENCV_FFMPEG_CAPTURE_OPTIONS=rtsp_transport;tcp|fflags;nobuffer|flags;low_delay
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# --- RKNN model ---
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# Path to exported .rknn model (YOLO format, e.g. yolo11n.rknn)
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MODEL_PATH=/opt/models/yolo9t.rknn
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# Input image size for the model (square, e.g. 320 → 320×320)
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IMGSZ=320
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# Use FP16 inference on NPU (true/false); currently unused in ByteTrack variant
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HALF=false
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# NPU core mask: 1=core0, 2=core1, 3=core0+core1, 7=all three
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CORE_MASK=7
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# Compute device index (reserved; not used at runtime)
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DEVICE=0
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# --- YOLO decoder ---
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# Number of object classes the model outputs
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NUM_CLASSES=2
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# Apply sigmoid to raw class scores (true/false); set true if model head uses BCE logits
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SCORE_SIGMOID=false
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# --- Detection ---
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# Confidence threshold – detections below this are discarded before NMS
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CONF=0.3
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# NMS IoU threshold (0-1): boxes overlapping the top box by more than this are
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# suppressed. RAISE it (e.g. 0.6-0.7) if two close/overlapping objects are being
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# merged into one and their separate boxes get suppressed. Lower = more aggressive
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# merging. Default 0.45.
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NMS_IOU=0.45
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# --- ByteTrack tracking ---
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# Detections with score >= this get priority matching in the first association stage
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TRACK_HIGH_THRESH=0.5
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# Detections with score between this and TRACK_HIGH_THRESH are matched in the second stage
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TRACK_LOW_THRESH=0.1
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# IoU threshold for the first-stage association (0–1). Higher = stricter overlap required
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TRACK_MATCH_THRESH=0.8
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# Frames a track survives without a match before being permanently removed
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TRACK_BUFFER=30
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# Minimum consecutive (or total) hits needed before a track is considered confirmed
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TRACK_MIN_HITS=3
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# --- ID-switch counting guards ---
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# When a track's ID changes right at the counting line, one physical object can be
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# counted twice (two IDs cross) or missed (neither ID sees the full transition).
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# These two guards correct for that.
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#
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# Dedup guard (prevents double counting): after a zone entry, a second entry in
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# the SAME feeder within DEDUP_FRAMES frames and DEDUP_PX centroid pixels is
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# ignored (treated as the same object under a new ID).
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DEDUP_FRAMES=15
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DEDUP_PX=60
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# To DISABLE the dedup guard, set DEDUP_PX=-1 (distance check can never match).
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#
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# Inheritance guard (prevents missed counting): when a brand-new track appears, it
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# inherits the last position of a recently-seen nearby track (within INHERIT_SEC
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# seconds and INHERIT_PX horizontal pixels) so zone entry is still detected
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# across the ID switch.
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INHERIT_SEC=1.0
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INHERIT_PX=60
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# To DISABLE the inheritance guard, set INHERIT_PX=-1 (distance check can never match).
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# Per-zone cooldown / dwell are set on ZONE_i_COOLDOWN_SEC and ZONE_i_DWELL_SEC below.
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# --- Display ---
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# Site name shown on the dashboard header
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SITE_NAME=ZenAi
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# --- Object class names ---
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# Camera / location identifier shown in HUD and stored in DB
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CAMERA_NAME=ZenAi
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# Label used for batch grouping in the database
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OBJECT_LABEL=karung
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# Class name for the counted object (must match model class order)
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CLASS_OBJECT=karung
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# Model class ID for the object being counted (default 0)
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OBJECT_CLASS_ID=0
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# Feeder / zone display names come from ZONE_i_NAME (see zones below).
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# Verbose tracking debug (inherit / dup / cooldown / per-frame dets)
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DEBUG_TRACKING=false
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# --- Counting zones (1…N) ---
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# Rectangular zones. Count once after dwell. Absolute pixels win over fracs.
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ZONE_COUNT=1
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ZONE_1_NAME=kandang_bawah_feeder
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ZONE_1_X1=
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ZONE_1_Y1=
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ZONE_1_X2=
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ZONE_1_Y2=
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ZONE_1_X1_FRAC=0.10
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ZONE_1_Y1_FRAC=0.10
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ZONE_1_X2_FRAC=0.90
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ZONE_1_Y2_FRAC=1.00
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ZONE_1_COOLDOWN_SEC=3
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ZONE_1_DWELL_SEC=2
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# Example two-zone setup (uncomment + set ZONE_COUNT=2):
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# ZONE_COUNT=2
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# ZONE_1_NAME=kandang_bawah_feeder_kiri
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# ZONE_1_X1_FRAC=0.02
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# ZONE_1_Y1_FRAC=0.10
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# ZONE_1_X2_FRAC=0.440
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# ZONE_1_Y2_FRAC=1.00
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# ZONE_1_COOLDOWN_SEC=3
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# ZONE_1_DWELL_SEC=2
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# ZONE_2_NAME=kandang_bawah_feeder_kanan
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# ZONE_2_X1=
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# ZONE_2_Y1=
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# ZONE_2_X2=
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# ZONE_2_Y2=
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# ZONE_2_X1_FRAC=0.490
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# ZONE_2_Y1_FRAC=0.10
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# ZONE_2_X2_FRAC=0.98
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# ZONE_2_Y2_FRAC=1.00
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# ZONE_2_COOLDOWN_SEC=3
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# ZONE_2_DWELL_SEC=2
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# --- Counting day management ---
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# Daily cutoff time (HH:MM) – a new counting day starts after this time and the
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# previous day's zone totals are finalized in the database.
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# CUTOFF_TIME is an alias used by the dashboard; DAILY_CUTOFF_TIME takes priority in counter_live_rknn.py.
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DAILY_CUTOFF_TIME=17:00
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CUTOFF_TIME=17:00
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# --- CSV export ---
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# Write per-crossing events to a CSV file (true/false)
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EXPORT_CSV=true
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# Path where the crossing CSV is written
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CROSS_CSV=/opt/batch-counter/crossings.csv
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# --- Crossing snapshots ---
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# Save an annotated frame image every time an object enters a feeder zone and the
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# counter increases (true/false, default: false). Written to <DIR>/cross/
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# (filename: <YYYYmmdd_HHMMSS_mmm>_<zone_i>_id<track>_f<frame>.jpg)
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SAVE_CROSS_SNAPSHOT=false
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# Also save one snapshot the first time each object is detected, before it enters
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# a zone (true/false, default: false). Written to <DIR>/detect/ with the same track id so
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# it can be correlated with the zone-entry snapshot
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# (filename: <YYYYmmdd_HHMMSS_mmm>_detect_id<track>_f<frame>.jpg)
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SAVE_DETECT_SNAPSHOT=false
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# Base directory for snapshots (detect/ and cross/ subfolders are created inside).
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# The dashboard reads this same path to display the snapshot gallery, so keep it
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# identical for both the counter and the dashboard.
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CROSS_SNAPSHOT_DIR=/opt/batch-counter/snapshots
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# JPEG quality for snapshots (1-100)
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CROSS_SNAPSHOT_QUALITY=85
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# Retention: keep at most this many snapshot files (detect + cross combined);
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# oldest are deleted first (0 = unlimited)
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CROSS_SNAPSHOT_MAX_FILES=1000
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# Retention: delete snapshots older than this many days (0 = never by age)
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CROSS_SNAPSHOT_MAX_AGE_DAYS=7
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# Run the cleanup sweep at most once every N seconds
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CROSS_SNAPSHOT_CLEANUP_SEC=60
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# --- Rate / performance ---
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# Enable motion detection pre-filter: skip inference on frames with no movement
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# (true/false, default: false), saving NPU/CPU load. Motion is measured by the
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# fraction of pixels that changed (localized-motion aware), NOT the whole-frame
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# average, so an object entering the edge of the frame is detected immediately.
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MOTION_DETECTION_ENABLED=false
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# Per-pixel intensity change (0-255) for a pixel to count as "moved". Lower = more
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# sensitive to subtle movement. Default 25.
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MOTION_PIXEL_DELTA=25
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# Fraction of frame pixels (0-1) that must change to trigger inference. Lower =
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# more sensitive / detects smaller or farther objects sooner. Default 0.002 (0.2%).
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MOTION_MIN_AREA_FRAC=0.002
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# Heartbeat: always run inference at least every N frames even with no detected
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# motion, so a slow or barely-moving object is never missed for long. Default 15.
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MOTION_HEARTBEAT_FRAMES=15
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# (Deprecated) old whole-frame mean-difference threshold; no longer used.
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MOTION_THRESHOLD=5.0
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# --- Runtime control (start/stop counting on the fly) ---
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# When true, the counter watches a JSON control file and pauses/resumes object
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# detection & counting based on its "counting" flag. The dashboard shows a
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# COUNTING ON/OFF toggle button that writes this file. When false, the counter
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# always counts and the dashboard hides the toggle. (true/false, default: false)
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CONTROL_ENABLED=false
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# Path to the shared control file. MUST be identical for the counter and the
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# dashboard so the toggle takes effect. Contents: {"counting": true|false}
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CONTROL_FILE=/opt/bytetrack-counter/control.json
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# Counting state to assume on startup / when the control file does not exist yet.
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CONTROL_DEFAULT_COUNTING=true
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# How often (seconds) the counter re-reads the control file. Default 1.0.
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CONTROL_POLL_SEC=1.0
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# Optional TCP control socket (requires CONTROL_ENABLED=true). Lets you toggle
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# counting over the network with line commands. It updates the same control file,
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# so changes apply within CONTROL_POLL_SEC. (true/false, default: false)
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# Commands (newline-terminated): START|RESUME|ON, STOP|PAUSE|OFF, TOGGLE, STATUS
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# e.g. printf 'STOP\n' | nc 127.0.0.1 5090
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CONTROL_SOCKET_ENABLED=false
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# Bind address for the control socket. Use 127.0.0.1 for local-only, 0.0.0.0 to
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# allow remote clients (no auth — protect with firewall / trusted network).
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CONTROL_SOCKET_HOST=127.0.0.1
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# Control socket TCP port.
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CONTROL_SOCKET_PORT=5090
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# Sliding window in seconds for computing the crossing rate (objects/minute)
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RATE_WINDOW_SEC=60
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# Number of frames to discard at startup to let the stream buffer stabilise
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WARMUP_FRAMES=30
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# Delay in seconds between stream reconnection attempts
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RECONNECT_DELAY_SEC=3
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# Maximum reconnection attempts (0 = infinite)
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MAX_RECONNECT_ATTEMPTS=0
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# Max stream-error log lines per outage (Cannot open / Stream dropped).
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# After this, further errors are silent until the stream recovers; then the
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# budget resets for the next outage. 0 = unlimited.
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STREAM_ERROR_LOG_MAX=3
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# Seconds after which a tracked but unseen object is pruned from the active set
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TRACKED_PRUNE_SEC=300
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# --- Video recording ---
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# Save annotated frames to segmented MP4 files (true/false)
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RECORD_VIDEO=false
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# Duration in seconds of each video segment file
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VIDEO_SEGMENT_SEC=3600
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# Output video FPS (fallback if source FPS is unknown or ≤ 1)
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OUTPUT_FPS=15
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# --- Live stream snapshot ---
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# Periodically write the latest annotated frame as JPEG for an external web server
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LIVE_STREAM_ENABLED=false
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# Path to the shared-memory snapshot file (served by nginx / lighttpd)
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LIVE_STREAM_FRAME_PATH=/dev/shm/zenai-ktc-counter/live_frame.jpg
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# JPEG quality (1–100)
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LIVE_STREAM_QUALITY=75
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# Write the snapshot every N frames (lower = more frequent updates)
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LIVE_STREAM_EVERY_N=2
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# --- Dashboard (counter_dashboard.py) ---
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# Flask secret key for session/cookie signing — change in production!
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SECRET_KEY=change-me-in-production
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# Bind address for the Flask web server
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DASHBOARD_HOST=0.0.0.0
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# Listen port for the dashboard web UI
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DASHBOARD_PORT=5000
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# Enable Flask debug mode (true/false) — auto-reloads on code changes; disable in production
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FLASK_DEBUG=false
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# Fallback name for the active counting-day JSON state file used by the dashboard
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CURRENT_COUNTER_PATH=/opt/zenai-ktc-counter/current_counter.json |