feat: add engine auto-recompilation, mortality detection, multi-execution batching, and dashboard updates

- Add engine_utils for TensorRT compatibility verification, auto-recompilation from .pt models, and YAML auto-updates
- Add mortality detection pipeline (mortality.py, test_run_mortality.sh, mortality_config.yaml)
- Add multi-execution batch modes (parallel_processes, tensor_batching, hybrid) in batch_runner.py
- Add daily test run automation scripts and video processing runners
- Add dashboard REST API, live stream endpoints, and web UI templates
- Clean up git tracking by ignoring __pycache__, .pyc, and build artifacts

configs/cycle7_batch_optimized.yaml

@@ -1,5 +1,5 @@
 batch:
-  root_dir: /media/jetson/DATA/.Codes/VIDEOS/cycle7/kandang-atas
+  root_dir: "../VIDEOS/cycle7/kandang-atas"
   camera_glob: "kandang_*_camera_{num}_*.mp4"
   output_subdir: output
   compress_max_mb: 200
@@ -7,27 +7,44 @@ batch:
   checkpoint_every_n_frames: 3000
   location: kandang-atas
   db_path: db/chicken_counts.db
+  cycle_start_date: "2026-05-22"   #day 0
+  execution_mode: parallel_processes # parallel_processes (default) | tensor_batching | hybrid
+
+stages:
+  early_cycle:
+    day_min: 0
+    day_max: 15
+    detection:
+      conf: 0.1
+      min_box_area_px: 100
+    roi:
+      min_overlap_ratio: 0.1 # 0.25
+  mid_cycle:
+    day_min: 16
+    day_max: 999
 
 defaults:
   detection:
-    model_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/chicken-detection-model-v26n-300e-best-2026-05-02-NEW.engine
+    model_path: models/NUC5070_chicken-detection-model-v26n-300e-best-2026-05-02-NEW.engine # TensorRT engine (RTX 5070)
     classes: [0]
     ignored_classes: [1, 2]
-    conf: 0.55               # ↑ 0.35 → fewer false positives, less tracking CPU
+    conf: 0.40               # mild lift vs 0.35; 0.55 was undercounting
     iou: 0.55
     imgsz: 640
     device: "0"
-    min_box_area_px: 5000    # ↑ 3000 → filter small false positives
+    min_box_area_px: 3000
     validate_while_inside: true
+    dedupe_radius_px: 0      # off for CC1/CC4; CC2/CC3 enable below
+    dedupe_frames: 12
   detection_zone:
     enabled: true
     buffer_above_px: 250
     buffer_below_px: 250
     show_in_overlay: true
   tracker:
-    tracker_config_path: /media/jetson/DATA/.Codes/chicken-counting-sukawarna-det/configs/trackers/botsort_chicken.yaml
+    tracker_config_path: configs/trackers/botsort_chicken.yaml
     persist: true
-    track_buffer: 75
+    track_buffer: 90
   gate:
     mode: two_line
     lines_y: [420, 730]
@@ -41,7 +58,7 @@ defaults:
     reverse_exit_threshold: -0.5
     debounce_frames: 12
     min_features: 40         # ↓ 60 → less optical flow computation
-    max_corners: 50          # ↓ 80 → fewer corner features
+    max_corners: 50          # ↓ 80 → fewer corner featuresis 
     stride_frames: 3         # ↑ 2 → motion detection every 3rd frame
     flow_scale: 0.5
     quality_level: 0.01
@@ -83,12 +100,15 @@ defaults:
     inset_right_px: 60
     inset_top_px: 0
     inset_bottom_px: 0
-    min_overlap_ratio: 0.35    # ↑ 0.30 → stricter counting validation
+    min_overlap_ratio: 0.30
 
 cameras:
   CC1:
     camera_num: 1
     count_anchor: [780, 120]
+    detection:
+      min_box_area_px: 2500
+      conf: 0.35
     roi:
       points:
         - [250, 330]
@@ -98,8 +118,10 @@ cameras:
   CC2:
     camera_num: 2
     count_anchor: [900, 120]
-    detection:                 # per-camera override: wider angle = smaller bboxes
-      min_box_area_px: 3000
+    detection:
+      conf: 0.5                # From 0.45
+      dedupe_radius_px: 32
+      dedupe_frames: 24       # From 18
     roi:
       points:
         - [20, 380]
@@ -109,6 +131,9 @@ cameras:
   CC3:
     camera_num: 3
     count_anchor: [900, 120]
+    detection:
+      dedupe_radius_px: 24
+      dedupe_frames: 16   # From 12
     roi:
       points:
         - [20, 330]