Add optimized batch config, remove large model files from tracking
- Add configs/cycle7_batch_optimized.yaml with tuned thresholds - Update BatchConfig: add location and db_path fields - Remove .pt/.onnx/.engine files from tracking (too large for git) - Clean untracked test artifacts
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@@ -5,10 +5,12 @@ batch:
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compress_max_mb: 200
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compress_max_mb: 200
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delete_intermediate: false
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delete_intermediate: false
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checkpoint_every_n_frames: 3000
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checkpoint_every_n_frames: 3000
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location: kandang-atas
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db_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/db/chicken_counts.db
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defaults:
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defaults:
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detection:
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detection:
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model_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/chicken-detection-model-v26n-300e-best-2026-05-02-NEW.engine
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model_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/models/chicken-detection-model-v26n-300e-best-2026-05-02-NEW.engine
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classes: [0]
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classes: [0]
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ignored_classes: [1, 2]
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ignored_classes: [1, 2]
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conf: 0.35
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conf: 0.35
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@@ -0,0 +1,126 @@
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batch:
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root_dir: /media/jetson/DATA/.Codes/VIDEOS/cycle7/kandang-atas
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camera_glob: "kandang_*_camera_{num}_*.mp4"
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output_subdir: output
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compress_max_mb: 200
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delete_intermediate: false
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checkpoint_every_n_frames: 3000
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location: kandang-atas
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db_path: chicken_counts.db
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defaults:
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detection:
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model_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/chicken-detection-model-v26n-300e-best-2026-05-02-NEW.engine
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classes: [0]
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ignored_classes: [1, 2]
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conf: 0.55 # ↑ 0.35 → fewer false positives, less tracking CPU
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iou: 0.55
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imgsz: 640
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device: "0"
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min_box_area_px: 5000 # ↑ 3000 → filter small false positives
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validate_while_inside: true
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detection_zone:
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enabled: true
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buffer_above_px: 250
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buffer_below_px: 250
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show_in_overlay: true
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tracker:
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tracker_config_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/configs/trackers/botsort_chicken.yaml
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persist: true
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track_buffer: 75
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gate:
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mode: two_line
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lines_y: [420, 730]
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direction: bottom_to_up
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motion:
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enabled: true
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axis: vertical
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forward_sign: 1.0
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ema_alpha: 0.2
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reverse_enter_threshold: -1.5
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reverse_exit_threshold: -0.5
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debounce_frames: 12
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min_features: 40 # ↓ 60 → less optical flow computation
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max_corners: 50 # ↓ 80 → fewer corner features
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stride_frames: 3 # ↑ 2 → motion detection every 3rd frame
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flow_scale: 0.5
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quality_level: 0.01
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min_distance: 8
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block_radius: 6
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overlay:
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show_boxes: true
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show_track_trails: false
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trail_length: 20
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show_center_marker: false # ✗ → save 1 circle per chicken
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show_track_ring: false
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count_anchor: [780, 120]
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inside_box_only: true
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validated_only: true # NEW → only draw counted chickens
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pending_blink: true
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pending_colors:
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- [255, 255, 0]
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- [0, 255, 255]
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display:
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show_window: false
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encoder: auto
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output_bitrate_kbps: 2000 # ↓ 4000 → faster encoding
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codec_preference: [avc1, mp4v, H264]
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performance:
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half: false
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overlay_buffer_reuse: true
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inference_stride: 2
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stream:
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enabled: true # required for dashboard live feed
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shm_dir: /dev/shm
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interval_frames: 5
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feedback:
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enabled: true
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every_n_frames: 3000
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save_images: false # ✗ → disable checkpoint JPEG I/O spikes
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log_to_terminal: true
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roi:
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inset_left_px: 60
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inset_right_px: 60
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inset_top_px: 0
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inset_bottom_px: 0
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min_overlap_ratio: 0.35 # ↑ 0.30 → stricter counting validation
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cameras:
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CC1:
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camera_num: 1
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count_anchor: [780, 120]
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roi:
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points:
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- [250, 330]
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- [1650, 330]
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- [1650, 720]
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- [250, 720]
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CC2:
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camera_num: 2
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count_anchor: [900, 120]
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detection: # per-camera override: wider angle = smaller bboxes
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min_box_area_px: 3000
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roi:
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points:
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- [20, 380]
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- [1880, 380]
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- [1880, 720]
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- [20, 720]
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CC3:
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camera_num: 3
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count_anchor: [900, 120]
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roi:
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points:
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- [20, 330]
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- [1880, 330]
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- [1880, 720]
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- [20, 720]
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CC4:
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camera_num: 4
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count_anchor: [700, 120]
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roi:
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points:
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- [50, 330]
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- [1450, 330]
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- [1450, 720]
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- [50, 720]
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@@ -212,6 +212,8 @@ class BatchConfig:
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compress_max_mb: int = 200
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compress_max_mb: int = 200
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delete_intermediate: bool = False
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delete_intermediate: bool = False
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checkpoint_every_n_frames: int = 3000
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checkpoint_every_n_frames: int = 3000
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location: str = ""
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db_path: str = ""
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@dataclass
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@dataclass
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