Zenai Karung Pakan Counter

env.example

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+# =============================================================================
+# Edge RK3588 production counter + dashboard
+# Shared config for: counter_live_rknn_bytetrack.py + counter_dashboard.py
+# Copy to .env on device:  cp config.env.example .env && nano .env
+# =============================================================================
+
+# --- Core paths ---
+# Root output directory (logs, DB, video, CSV)
+OUTPUT_DIR=/opt/zenai-kpc-bt-counter
+# SQLite database path for daily counter records & crossing logs
+DB_PATH=/tmp/counter.db
+# JSON file persisting the current active counting day state
+STATE_FILE=/tmp/current_counter.json
+
+# --- Input source ---
+# RTSP / HTTP live stream, or a local video file path
+#SOURCE=rtsp://user:pass@192.168.0.100:554/stream1
+SOURCE=rtsp://10.38.30.64:8554/my_stream
+# FFmpeg capture options passed to cv2.VideoCapture (RTSP low-latency flags)
+OPENCV_FFMPEG_CAPTURE_OPTIONS=rtsp_transport;tcp|fflags;nobuffer|flags;low_delay
+
+# --- RKNN model ---
+# Path to exported .rknn model (YOLO format, e.g. yolo11n.rknn)
+MODEL_PATH=/opt/models/zenai_kac_sukawarna_20260702.rknn
+# Input image size for the model (square, e.g. 320 → 320×320)
+IMGSZ=320
+# Use FP16 inference on NPU (true/false); currently unused in ByteTrack variant
+HALF=false
+# NPU core mask: 1=core0, 2=core1, 3=core0+core1, 7=all three
+CORE_MASK=7
+# Compute device index (reserved; not used at runtime)
+DEVICE=0
+
+# --- YOLO decoder ---
+# Number of object classes the model outputs
+NUM_CLASSES=4
+# Apply sigmoid to raw class scores (true/false); set true if model head uses BCE logits
+SCORE_SIGMOID=false
+
+# --- Detection ---
+# Confidence threshold – detections below this are discarded before NMS
+CONF=0.5
+
+# --- ByteTrack tracking ---
+# Detections with score >= this get priority matching in the first association stage
+TRACK_HIGH_THRESH=0.5
+# Detections with score between this and TRACK_HIGH_THRESH are matched in the second stage
+TRACK_LOW_THRESH=0.3
+# IoU threshold for the first-stage association (0–1). Higher = stricter overlap required
+TRACK_MATCH_THRESH=0.7
+# Frames a track survives without a match before being permanently removed
+TRACK_BUFFER=60
+# Minimum consecutive (or total) hits needed before a track is considered confirmed
+TRACK_MIN_HITS=3
+
+# --- Display ---
+# Site name shown on the dashboard header (top-right)
+SITE_NAME=ZenAi
+
+# --- Object class names ---
+# Camera / location identifier shown in HUD and stored in DB
+CAMERA_NAME=ZenAi
+# Label used for batch grouping in the database
+OBJECT_LABEL=karung
+# Class name for the counted object (must match model class order)
+CLASS_OBJECT=karung
+# Model class ID for the object being counted (default 0)
+OBJECT_CLASS_ID=0
+
+# --- Line crossing ---
+# Two horizontal counting lines:
+#   Line 1 (default ~33%): counts top-to-down (IN)
+#   Line 2 (default ~66%): counts bottom-to-up (OUT)
+# Fixed y-coordinate for line 1/IN (overrides LINE_Y1_FRAC if set)
+LINE_Y1=
+# Fraction of frame height for line 1 (default 0.33)
+LINE_Y1_FRAC=0.70
+# Fixed y-coordinate for line 2 (overrides LINE_Y2_FRAC if set)
+LINE_Y2=
+# Fraction of frame height for line 2 (default 0.66)
+LINE_Y2_FRAC=0.30
+
+# --- Counting day management ---
+# Daily cutoff time (HH:MM) – a new counting day starts after this time and the
+# previous day's counter_in / counter_out totals are finalized in the database.
+# CUTOFF_TIME is an alias used by the dashboard; DAILY_CUTOFF_TIME takes priority in counter_live_rknn.py.
+DAILY_CUTOFF_TIME=20:00
+CUTOFF_TIME=20:00
+
+# --- CSV export ---
+# Write per-crossing events to a CSV file (true/false)
+EXPORT_CSV=false
+# Path where the crossing CSV is written
+CROSS_CSV=/tmp/crossings.csv
+
+# --- Rate / performance ---
+# Enable motion detection pre-filter: skip inference on frames with no movement
+# (true/false, default: false). When enabled, frames below MOTION_THRESHOLD are
+# skipped, saving NPU/CPU load.
+MOTION_DETECTION_ENABLED=false
+# Mean absolute pixel difference threshold (0–255) to consider a frame as having
+# motion. Lower = more sensitive. Default 5.0.
+MOTION_THRESHOLD=5.0
+# Sliding window in seconds for computing the crossing rate (objects/minute)
+RATE_WINDOW_SEC=60
+# Number of frames to discard at startup to let the stream buffer stabilise
+WARMUP_FRAMES=30
+# Delay in seconds between stream reconnection attempts
+RECONNECT_DELAY_SEC=3
+# Maximum reconnection attempts (0 = infinite)
+MAX_RECONNECT_ATTEMPTS=0
+# Seconds after which a tracked but unseen object is pruned from the active set
+TRACKED_PRUNE_SEC=300
+
+# --- Video recording ---
+# Save annotated frames to segmented MP4 files (true/false)
+RECORD_VIDEO=false
+# Duration in seconds of each video segment file
+VIDEO_SEGMENT_SEC=3600
+# Output video FPS (fallback if source FPS is unknown or ≤ 1)
+OUTPUT_FPS=15
+
+# --- Live stream snapshot ---
+# Periodically write the latest annotated frame as JPEG for an external web server
+LIVE_STREAM_ENABLED=true
+# Path to the shared-memory snapshot file (served by nginx / lighttpd)
+LIVE_STREAM_FRAME_PATH=/dev/shm/byetrack-counter/live_frame.jpg
+# JPEG quality (1–100)
+LIVE_STREAM_QUALITY=75
+# Write the snapshot every N frames (lower = more frequent updates)
+LIVE_STREAM_EVERY_N=2
+
+# --- Dashboard (counter_dashboard.py) ---
+# Flask secret key for session/cookie signing — change in production!
+SECRET_KEY=change-me-in-production
+# Bind address for the Flask web server
+DASHBOARD_HOST=0.0.0.0
+# Listen port for the dashboard web UI
+DASHBOARD_PORT=5000
+# Enable Flask debug mode (true/false) — auto-reloads on code changes; disable in production
+FLASK_DEBUG=false
+# Fallback name for the active counting-day JSON state file used by the dashboard
+CURRENT_COUNTER_PATH=/tmp/bytetrack_current_counter.json