From 5eb122f422d8185b785ab546bc82f6a370ba3e43 Mon Sep 17 00:00:00 2001
From: dsutanto <dedy.sutanto@saltis.id>
Date: Wed, 29 Jul 2026 07:57:39 +0700
Subject: [PATCH] Fix recording

---
 .oc/session.json        | 1715 ++++++++++++++++++++++++++++++++++++++-
 build/bytetrack-counter |  Bin 3589936 -> 3590168 bytes
 config.env.example      |    2 +
 src/config.cpp          |    2 +
 src/config.hpp          |    1 +
 src/main.cpp            |   12 +-
 src/video_writer.cpp    |   79 +-
 src/video_writer.hpp    |   17 +-
 8 files changed, 1787 insertions(+), 41 deletions(-)

diff --git a/.oc/session.json b/.oc/session.json
index 08a4103..bdbe5f7 100644
--- a/.oc/session.json
+++ b/.oc/session.json
@@ -17,19 +17,19 @@
       "deletions": 0,
       "files": 0
     },
-    "cost": 0.17807635600000005,
+    "cost": 0.19156660500000003,
     "tokens": {
-      "input": 222530,
-      "output": 25780,
-      "reasoning": 25529,
+      "input": 224907,
+      "output": 29859,
+      "reasoning": 28239,
       "cache": {
-        "read": 10106752,
+        "read": 11913600,
         "write": 0
       }
     },
     "time": {
       "created": 1783419130384,
-      "updated": 1785261477556
+      "updated": 1785286620360
     }
   },
   "messages": [
@@ -16795,6 +16795,1709 @@
           "messageID": "msg_fa9e0300a001Y6IZBpIofihQzJ"
         }
       ]
+    },
+    {
+      "info": {
+        "role": "user",
+        "time": {
+          "created": 1785286298272
+        },
+        "agent": "build",
+        "model": {
+          "providerID": "deepseek",
+          "modelID": "deepseek-v4-pro"
+        },
+        "summary": {
+          "diffs": []
+        },
+        "id": "msg_fab5b0aa0001p3dp7jsaYsi2Lg",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "type": "text",
+          "text": "How the flow of start recording per batch?",
+          "id": "prt_fab5b0aad001b0sGQyyGYzLB8N",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5b0aa0001p3dp7jsaYsi2Lg"
+        }
+      ]
+    },
+    {
+      "info": {
+        "parentID": "msg_fab5b0aa0001p3dp7jsaYsi2Lg",
+        "role": "assistant",
+        "mode": "build",
+        "agent": "build",
+        "path": {
+          "cwd": "/opt/bytetrack-counter-cpp",
+          "root": "/opt/bytetrack-counter-cpp"
+        },
+        "cost": 0.000717837,
+        "tokens": {
+          "total": 115979,
+          "input": 103,
+          "output": 273,
+          "reasoning": 19,
+          "cache": {
+            "write": 0,
+            "read": 115584
+          }
+        },
+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
+        "time": {
+          "created": 1785286298454,
+          "completed": 1785286307500
+        },
+        "finish": "stop",
+        "id": "msg_fab5b0b56001uP7D1qtU35g5db",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "7953b24bcea576d89617acd8797f6d4d33fceadd",
+          "type": "step-start",
+          "id": "prt_fab5b18bf001E7jeX7Pn13ynlH",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5b0b56001uP7D1qtU35g5db"
+        },
+        {
+          "type": "reasoning",
+          "text": "The user wants to understand the flow of recording per batch. Let me trace through the code.",
+          "time": {
+            "start": 1785286302856,
+            "end": 1785286303445
+          },
+          "id": "prt_fab5b1c88001mTnokbhVQZpiIV",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5b0b56001uP7D1qtU35g5db"
+        },
+        {
+          "type": "text",
+          "text": "1. **`on_new_batch(batch_number)`** — called from main.cpp when `record_ayam_crossing` signals `started_new`. Sets `delaying_=true`, starts delay timer.\n\n2. **`feed_frame(raw_frame)`** — called every frame with raw (pre-drawing) frame. While `delaying_`, waits for `RECORD_DELAY_SECONDS` to elapse, then calls `start_recording()`.\n\n3. **`start_recording(batch_number)`** — opens `cv::VideoWriter` to `shm_dir_/batch_N_YYYYMMDD_HHMMSS.mp4` with `avc1` fourcc. Sets `recording_=true`.\n\n4. **`feed_frame`** — writes frames while `recording_` and `writer_.isOpened()`.\n\n5. **`on_batch_closed(batch_number)`** — triggered via `BatchStore::end_batch_locked` callback. Calls `stop_and_move()`: releases writer, forks child to copy from shm to `output_dir_` + delete shm source.\n\n6. Goto 1 for next batch.\n\nSingle gap: frames between `on_new_batch` and delay expiry are NOT recorded (intentional warm-up).",
+          "time": {
+            "start": 1785286303458,
+            "end": 1785286307077
+          },
+          "id": "prt_fab5b1ee2001Xn6BfM7dc6Q9xs",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5b0b56001uP7D1qtU35g5db"
+        },
+        {
+          "reason": "stop",
+          "snapshot": "7953b24bcea576d89617acd8797f6d4d33fceadd",
+          "type": "step-finish",
+          "tokens": {
+            "total": 115979,
+            "input": 103,
+            "output": 273,
+            "reasoning": 19,
+            "cache": {
+              "write": 0,
+              "read": 115584
+            }
+          },
+          "cost": 0.000717837,
+          "id": "prt_fab5b2dde0018kXA0HAHpzCI3F",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5b0b56001uP7D1qtU35g5db"
+        }
+      ]
+    },
+    {
+      "info": {
+        "role": "user",
+        "time": {
+          "created": 1785286501836
+        },
+        "agent": "build",
+        "model": {
+          "providerID": "deepseek",
+          "modelID": "deepseek-v4-pro"
+        },
+        "summary": {
+          "diffs": [
+            {
+              "file": "config.env.example",
+              "patch": "Index: config.env.example\n===================================================================\n--- config.env.example\t\n+++ config.env.example\t\n@@ -1,164 +1,166 @@\n # =============================================================================\n # Edge RK3588 production counter + dashboard\n # Shared config for: counter_live_rknn_bytetrack.py + counter_dashboard.py\n # Copy to .env on device:  cp config.env.example .env && nano .env\n # =============================================================================\n \n # --- Core paths ---\n # Root output directory (logs, DB, video, CSV)\n OUTPUT_DIR=/opt/bytetrack-counter\n # SQLite database path for batch entries & crossing logs\n DB_PATH=/opt/bytetrack-counter/bytetrack_counter.db\n # JSON file persisting the current active batch state\n STATE_FILE=/tmp/bytetrack_current_batch.json\n \n # --- Input source ---\n # RTSP / HTTP live stream, or a local video file path\n SOURCE=rtsp://user:pass@192.168.0.100:554/stream1\n # FFmpeg capture options passed to cv2.VideoCapture (RTSP low-latency flags)\n OPENCV_FFMPEG_CAPTURE_OPTIONS=rtsp_transport;tcp|fflags;nobuffer|flags;low_delay\n \n # --- RKNN model ---\n # Path to exported .rknn model (YOLO format, e.g. yolo11n.rknn)\n MODEL_PATH=/opt/models/yolo9t.rknn\n # Input image size for the model (square, e.g. 320 → 320×320)\n IMGSZ=320\n # Use FP16 inference on NPU (true/false); currently unused in ByteTrack variant\n HALF=false\n # NPU core mask: 1=core0, 2=core1, 3=core0+core1, 7=all three\n CORE_MASK=7\n # Compute device index (reserved; not used at runtime)\n DEVICE=0\n \n # --- YOLO decoder ---\n # Number of object classes the model outputs (e.g. 2 = ayam + talenan)\n NUM_CLASSES=2\n # Apply sigmoid to raw class scores (true/false); set true if model head uses BCE logits\n SCORE_SIGMOID=false\n \n # --- Detection ---\n # Confidence threshold – detections below this are discarded before NMS\n CONF=0.3\n \n # --- ByteTrack tracking ---\n # General for ayam, index 0\n # Detections with score ≥ this get priority matching in the first association stage\n TRACK_HIGH_THRESH_0=0.5\n # Detections with score between this and TRACK_HIGH_THRESH are matched in the second stage\n TRACK_LOW_THRESH_0=0.1\n # IoU threshold for the first-stage association (0–1). Higher = stricter overlap required\n TRACK_MATCH_THRESH_0=0.8\n # Frames a track survives without a match before being permanently removed\n TRACK_BUFFER_0=30\n # Minimum consecutive (or total) hits needed before a track is considered confirmed\n TRACK_MIN_HITS_0=3\n \n # For talenan, index 1\n # Detections with score ≥ this get priority matching in the first association stage\n TRACK_HIGH_THRESH_1=0.5\n # Detections with score between this and TRACK_HIGH_THRESH are matched in the second stage\n TRACK_LOW_THRESH_1=0.1\n # IoU threshold for the first-stage association (0–1). Higher = stricter overlap required\n TRACK_MATCH_THRESH_1=0.6\n # Frames a track survives without a match before being permanently removed\n TRACK_BUFFER_1=30\n # Minimum consecutive (or total) hits needed before a track is considered confirmed\n TRACK_MIN_HITS_1=3\n \n # --- Display ---\n # Site name shown on the dashboard header (top-right)\n SITE_NAME=ZenAi\n \n # --- Object class names ---\n # Camera / location identifier shown in HUD and stored in DB\n CAMERA_NAME=ZenAi\n # Label used for batch grouping in the database\n OBJECT_LABEL=ayam-potong\n # Class name for the counted object (must match NUM_CLASSES order, index 0)\n CLASS_AYAM=ayam\n # Class name for the batch-closing trigger object (must match NUM_CLASSES order, index 1)\n CLASS_TALENAN=talenan\n \n # --- Line crossing ---\n # Direction for counting: rtl (right-to-left, default) | ltr (left-to-right) | both\n CROSS_DIRECTION=rtl\n # Fixed x-coordinate for the counting line (overrides LINE_X_FRAC if set)\n LINE_X=\n # Fraction of frame width where the counting line is drawn (default 0.5 = centre)\n LINE_X_FRAC=0.5\n \n # --- Batch management ---\n # Daily cutoff time (HH:MM) – a new day's batch numbering starts after this time.\n # CUTOFF_TIME is an alias used by the dashboard; DAILY_CUTOFF_TIME takes priority in counter_live_rknn_bytetrack.py.\n DAILY_CUTOFF_TIME=20:00\n CUTOFF_TIME=20:00\n # Reset frame counter and ByteTrack track-ID counter back to 0 when the daily cutoff is reached (true/false, default: true)\n RESET_COUNTERS_AT_CUTOFF=true\n # Seconds of inactivity after which the current batch is auto-closed\n BATCH_TIMEOUT_SECONDS=300\n # Seconds a newly-opened batch ignores the talenan label before accepting a close trigger\n IGNORE_BATCH_LABEL_TIMEOUT_SECONDS=30\n # Minimum number of objects required for a batch to be saved as valid\n MIN_OBJECT_PER_BATCH=60\n # Minimum duration in seconds a batch must be open to be saved as valid\n MIN_DURATION_PER_BATCH=60\n \n # --- CSV export ---\n # Write per-crossing events to a CSV file (true/false)\n EXPORT_CSV=true\n # Path where the crossing CSV is written\n CROSS_CSV=/opt/batch-counter/batch_crossings.csv\n \n # --- Rate / performance ---\n # Enable motion detection pre-filter: skip inference on frames with no movement\n # (true/false, default: false). When enabled, frames below MOTION_THRESHOLD are\n # skipped, saving NPU/CPU load.\n MOTION_DETECTION_ENABLED=false\n # Mean absolute pixel difference threshold (0–255) to consider a frame as having\n # motion. Lower = more sensitive. Default 5.0.\n MOTION_THRESHOLD=5.0\n # Sliding window in seconds for computing the crossing rate (objects/minute)\n RATE_WINDOW_SEC=60\n # Number of frames to discard at startup to let the stream buffer stabilise\n WARMUP_FRAMES=30\n # Delay in seconds between stream reconnection attempts\n RECONNECT_DELAY_SEC=3\n # Maximum reconnection attempts (0 = infinite)\n MAX_RECONNECT_ATTEMPTS=0\n # Print status log every N processed frames\n FLUSH_EVERY_N_FRAMES=100\n # Seconds after which a tracked but unseen object is pruned from the active set\n TRACKED_PRUNE_SEC=300\n \n # --- Video recording ---\n # Per-batch video recording — raw frames (no overlay) to shared memory, moved to\n # OUTPUT_DIR on batch close via non-blocking background process (true/false)\n RECORD_VIDEO=false\n # Output video FPS (fallback if source FPS is unknown or ≤ 1)\n OUTPUT_FPS=15\n # Delay in seconds after batch starts before recording begins (every batch)\n RECORD_DELAY_SECONDS=10\n+# Extra seconds to keep recording after batch end signal before stopping\n+RECORD_END_DELAY=1\n # Shared memory directory for recording (fast write, moved to OUTPUT_DIR on close)\n RECORD_SHM_DIR=/dev/shm/bytetrack-counter\n \n # --- Live stream snapshot ---\n # Periodically write the latest annotated frame as JPEG for an external web server\n LIVE_STREAM_ENABLED=false\n # Path to the shared-memory snapshot file (served by nginx / lighttpd)\n LIVE_STREAM_FRAME_PATH=/dev/shm/byetrack-counter/live_frame.jpg\n # JPEG quality (1–100)\n LIVE_STREAM_QUALITY=75\n # Write the snapshot every N frames (lower = more frequent updates)\n LIVE_STREAM_EVERY_N=2\n \n # --- Dashboard (counter_dashboard.py) ---\n # Flask secret key for session/cookie signing — change in production!\n SECRET_KEY=change-me-in-production\n # Bind address for the Flask web server\n DASHBOARD_HOST=0.0.0.0\n # Listen port for the dashboard web UI\n DASHBOARD_PORT=5000\n # Enable Flask debug mode (true/false) — auto-reloads on code changes; disable in production\n FLASK_DEBUG=false\n # Fallback name for the active-batch JSON state file used by the dashboard\n CURRENT_BATCH_PATH=/tmp/bytetrack_current_batch.json\n",
+              "additions": 2,
+              "deletions": 0,
+              "status": "modified"
+            },
+            {
+              "file": "src/config.cpp",
+              "patch": "Index: src/config.cpp\n===================================================================\n--- src/config.cpp\t\n+++ src/config.cpp\t\n@@ -1,156 +1,158 @@\n #include \"config.hpp\"\n #include <cstdlib>\n #include <fstream>\n #include <sstream>\n #include <iostream>\n \n AppConfig g_config;\n \n static std::string trim(const std::string& s) {\n     auto start = s.find_first_not_of(\" \\t\\r\\n\");\n     if (start == std::string::npos) return {};\n     auto end = s.find_last_not_of(\" \\t\\r\\n\");\n     return s.substr(start, end - start + 1);\n }\n \n static std::string get_env(const std::string& key, const std::string& def = \"\") {\n     const char* val = std::getenv(key.c_str());\n     return val ? std::string(val) : def;\n }\n \n void AppConfig::load_from_env(const char* env_path) {\n     std::string path = \".env\";\n     if (env_path) path = env_path;\n \n     // also check env path\n     const char* env_file = std::getenv(\"ENV_FILE\");\n     if (env_file) path = env_file;\n \n     std::ifstream file(path);\n     if (file.is_open()) {\n         std::string line;\n         while (std::getline(file, line)) {\n             line = trim(line);\n             if (line.empty() || line[0] == '#') continue;\n             auto eq = line.find('=');\n             if (eq == std::string::npos) continue;\n             std::string key = trim(line.substr(0, eq));\n             std::string val = trim(line.substr(eq + 1));\n             // strip quotes\n             if (val.size() >= 2 && val.front() == '\"' && val.back() == '\"')\n                 val = val.substr(1, val.size() - 2);\n             setenv(key.c_str(), val.c_str(), 1);\n         }\n     }\n \n     output_dir = get_env(\"OUTPUT_DIR\", output_dir);\n     db_path = get_env(\"DB_PATH\", output_dir + \"/bytetrack_counter.db\");\n     state_file = get_env(\"STATE_FILE\", output_dir + \"/current_batch.json\");\n     source = get_env(\"SOURCE\", source);\n     model_path = get_env(\"MODEL_PATH\", model_path);\n     camera_name = get_env(\"CAMERA_NAME\", camera_name);\n     object_label = get_env(\"OBJECT_LABEL\", object_label);\n     class_ayam = get_env(\"CLASS_AYAM\", class_ayam);\n     class_talenan = get_env(\"CLASS_TALENAN\", class_talenan);\n \n     auto lx = get_env(\"LINE_X\");\n     if (!lx.empty()) line_x = std::stoi(lx);\n     auto lxf = get_env(\"LINE_X_FRAC\");\n     if (!lxf.empty()) line_x_frac = std::stof(lxf);\n     cross_direction = get_env(\"CROSS_DIRECTION\", cross_direction);\n \n     auto imgsz_s = get_env(\"IMGSZ\");\n     if (!imgsz_s.empty()) imgsz = std::stoi(imgsz_s);\n     auto half_s = get_env(\"HALF\");\n     half = (half_s == \"true\");\n     auto conf_s = get_env(\"CONF\");\n     if (!conf_s.empty()) conf = std::stof(conf_s);\n     auto dev_s = get_env(\"DEVICE\");\n     if (!dev_s.empty()) device = std::stoi(dev_s);\n     auto cm_s = get_env(\"CORE_MASK\");\n     if (!cm_s.empty()) core_mask = std::stoi(cm_s);\n     auto nc_s = get_env(\"NUM_CLASSES\");\n     if (!nc_s.empty()) num_classes = std::stoi(nc_s);\n     auto ss_s = get_env(\"SCORE_SIGMOID\");\n     score_sigmoid = (ss_s == \"true\");\n     auto ac_s = get_env(\"AYAM_CLASS_ID\");\n     if (!ac_s.empty()) ayam_class_id = std::stoi(ac_s);\n     auto tc_s = get_env(\"TALENAN_CLASS_ID\");\n     if (!tc_s.empty()) talenan_class_id = std::stoi(tc_s);\n \n     auto th0_s = get_env(\"TRACK_HIGH_THRESH_0\");\n     if (!th0_s.empty()) track_high_thresh_0 = std::stof(th0_s);\n     auto tl0_s = get_env(\"TRACK_LOW_THRESH_0\");\n     if (!tl0_s.empty()) track_low_thresh_0 = std::stof(tl0_s);\n     auto tm0_s = get_env(\"TRACK_MATCH_THRESH_0\");\n     if (!tm0_s.empty()) track_match_thresh_0 = std::stof(tm0_s);\n     auto tb0_s = get_env(\"TRACK_BUFFER_0\");\n     if (!tb0_s.empty()) track_buffer_0 = std::stoi(tb0_s);\n     auto tmh0_s = get_env(\"TRACK_MIN_HITS_0\");\n     if (!tmh0_s.empty()) track_min_hits_0 = std::stoi(tmh0_s);\n \n     auto th1_s = get_env(\"TRACK_HIGH_THRESH_1\");\n     if (!th1_s.empty()) track_high_thresh_1 = std::stof(th1_s);\n     auto tl1_s = get_env(\"TRACK_LOW_THRESH_1\");\n     if (!tl1_s.empty()) track_low_thresh_1 = std::stof(tl1_s);\n     auto tm1_s = get_env(\"TRACK_MATCH_THRESH_1\");\n     if (!tm1_s.empty()) track_match_thresh_1 = std::stof(tm1_s);\n     auto tb1_s = get_env(\"TRACK_BUFFER_1\");\n     if (!tb1_s.empty()) track_buffer_1 = std::stoi(tb1_s);\n     auto tmh1_s = get_env(\"TRACK_MIN_HITS_1\");\n     if (!tmh1_s.empty()) track_min_hits_1 = std::stoi(tmh1_s);\n \n     auto rw_s = get_env(\"RATE_WINDOW_SEC\");\n     if (!rw_s.empty()) rate_window_sec = std::stoi(rw_s);\n \n     daily_cutoff_time = get_env(\"DAILY_CUTOFF_TIME\", daily_cutoff_time);\n     auto rcc_s = get_env(\"RESET_COUNTERS_AT_CUTOFF\");\n     if (!rcc_s.empty()) reset_counters_at_cutoff = (rcc_s == \"true\");\n     auto bto_s = get_env(\"BATCH_TIMEOUT_SECONDS\");\n     if (!bto_s.empty()) batch_timeout_seconds = std::stof(bto_s);\n     auto ibl_s = get_env(\"IGNORE_BATCH_LABEL_TIMEOUT_SECONDS\");\n     if (!ibl_s.empty()) ignore_batch_label_timeout = std::stof(ibl_s);\n     auto mob_s = get_env(\"MIN_OBJECT_PER_BATCH\");\n     if (!mob_s.empty()) min_object_per_batch = std::stoi(mob_s);\n     auto mdb_s = get_env(\"MIN_DURATION_PER_BATCH\");\n     if (!mdb_s.empty()) min_duration_per_batch = std::stoi(mdb_s);\n \n     auto ecsv = get_env(\"EXPORT_CSV\");\n     if (!ecsv.empty()) export_csv = (ecsv == \"true\");\n     cross_csv = get_env(\"CROSS_CSV\", output_dir + \"/batch_crossings.csv\");\n \n     auto mde_s = get_env(\"MOTION_DETECTION_ENABLED\");\n     motion_detection_enabled = (mde_s == \"true\");\n     auto mt_s = get_env(\"MOTION_THRESHOLD\");\n     if (!mt_s.empty()) motion_threshold = std::stof(mt_s);\n \n     auto wf_s = get_env(\"WARMUP_FRAMES\");\n     if (!wf_s.empty()) warmup_frames = std::stoi(wf_s);\n     auto rd_s = get_env(\"RECONNECT_DELAY_SEC\");\n     if (!rd_s.empty()) reconnect_delay_sec = std::stoi(rd_s);\n     auto mra_s = get_env(\"MAX_RECONNECT_ATTEMPTS\");\n     if (!mra_s.empty()) max_reconnect_attempts = std::stoi(mra_s);\n     auto fl_s = get_env(\"FLUSH_EVERY_N_FRAMES\");\n     if (!fl_s.empty()) flush_every_n_frames = std::stoi(fl_s);\n     auto tp_s = get_env(\"TRACKED_PRUNE_SEC\");\n     if (!tp_s.empty()) tracked_prune_sec = std::stoi(tp_s);\n     auto rv_s = get_env(\"RECORD_VIDEO\");\n     record_video = (rv_s == \"true\");\n     auto vs_s = get_env(\"VIDEO_SEGMENT_SEC\");\n     if (!vs_s.empty()) video_segment_sec = std::stoi(vs_s);\n     auto ofps_s = get_env(\"OUTPUT_FPS\");\n     if (!ofps_s.empty()) output_fps = std::stoi(ofps_s);\n     auto rds_s = get_env(\"RECORD_DELAY_SECONDS\");\n     if (!rds_s.empty()) record_delay_seconds = std::stof(rds_s);\n+    auto reds_s = get_env(\"RECORD_END_DELAY\");\n+    if (!reds_s.empty()) record_end_delay_seconds = std::stof(reds_s);\n     record_shm_dir = get_env(\"RECORD_SHM_DIR\", record_shm_dir);\n \n     auto lse_s = get_env(\"LIVE_STREAM_ENABLED\");\n     live_stream_enabled = (lse_s == \"true\");\n     live_stream_frame_path = get_env(\"LIVE_STREAM_FRAME_PATH\", live_stream_frame_path);\n     auto lsq_s = get_env(\"LIVE_STREAM_QUALITY\");\n     if (!lsq_s.empty()) live_stream_quality = std::stoi(lsq_s);\n     auto lsn_s = get_env(\"LIVE_STREAM_EVERY_N\");\n     if (!lsn_s.empty()) live_stream_every_n = std::stoi(lsn_s);\n \n     rtsp_ffmpeg_options = get_env(\"OPENCV_FFMPEG_CAPTURE_OPTIONS\", rtsp_ffmpeg_options);\n }\n",
+              "additions": 2,
+              "deletions": 0,
+              "status": "modified"
+            },
+            {
+              "file": "src/config.hpp",
+              "patch": "Index: src/config.hpp\n===================================================================\n--- src/config.hpp\t\n+++ src/config.hpp\t\n@@ -1,83 +1,84 @@\n #pragma once\n #include <string>\n #include <cstdint>\n \n struct AppConfig {\n     std::string output_dir = \"/opt/bytetrack-counter-cpp\";\n     std::string db_path;\n     std::string state_file;\n     std::string source = \"rtsp://user:pass@192.168.0.100:554/stream1\";\n     std::string model_path = \"/opt/models/yolo.rknn\";\n     std::string camera_name = \"CC1\";\n     std::string object_label = \"ayam-potong\";\n     std::string class_ayam = \"ayam\";\n     std::string class_talenan = \"talenan\";\n \n     int line_x = -1;\n     float line_x_frac = 0.5f;\n     std::string cross_direction = \"rtl\";\n \n     int imgsz = 320;\n     bool half = false;\n     float conf = 0.3f;\n     int device = 0;\n     int core_mask = 1;\n     int num_classes = 2;\n     bool score_sigmoid = false;\n     int ayam_class_id = 0;\n     int talenan_class_id = 1;\n \n     float track_high_thresh_0 = 0.5f;\n     float track_low_thresh_0 = 0.1f;\n     float track_match_thresh_0 = 0.8f;\n     int track_buffer_0 = 30;\n     int track_min_hits_0 = 3;\n \n     float track_high_thresh_1 = 0.5f;\n     float track_low_thresh_1 = 0.1f;\n     float track_match_thresh_1 = 0.6f;\n     int track_buffer_1 = 30;\n     int track_min_hits_1 = 3;\n \n     int rate_window_sec = 60;\n \n     std::string daily_cutoff_time = \"20:00\";\n     bool reset_counters_at_cutoff = true;\n     float batch_timeout_seconds = 300.0f;\n     float ignore_batch_label_timeout = 30.0f;\n     int min_object_per_batch = 60;\n     int min_duration_per_batch = 60;\n \n     bool export_csv = true;\n     std::string cross_csv;\n \n     bool motion_detection_enabled = false;\n     float motion_threshold = 5.0f;\n     int warmup_frames = 30;\n     int reconnect_delay_sec = 3;\n     int max_reconnect_attempts = 0;\n     int flush_every_n_frames = 100;\n     int tracked_prune_sec = 300;\n     bool record_video = false;\n     int video_segment_sec = 3600;\n     int output_fps = 15;\n     float record_delay_seconds = 10.0f;\n+    float record_end_delay_seconds = 1.0f;\n     std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";\n \n     bool live_stream_enabled = false;\n     std::string live_stream_frame_path = \"/dev/shm/bytetrack-counter/live_frame.jpg\";\n     int live_stream_quality = 75;\n     int live_stream_every_n = 2;\n \n     std::string rtsp_ffmpeg_options = \"rtsp_transport;tcp|fflags;nobuffer|flags;low_delay\";\n \n     int cross_flash_frames = 12;\n     int popup_lifetime = 20;\n     int line_pulse_frames = 12;\n     int count_pulse_frames = 15;\n     int batch_pulse_frames = 20;\n \n     void load_from_env(const char* env_path = nullptr);\n };\n \n extern AppConfig g_config;\n",
+              "additions": 1,
+              "deletions": 0,
+              "status": "modified"
+            },
+            {
+              "file": "src/main.cpp",
+              "patch": "Index: src/main.cpp\n===================================================================\n--- src/main.cpp\t\n+++ src/main.cpp\t\n@@ -1,566 +1,568 @@\n #include \"config.hpp\"\n #include \"bytetrack.hpp\"\n #include \"batch_store.hpp\"\n #include \"csv_logger.hpp\"\n #include \"rknn_yolo.hpp\"\n #include \"drawing.hpp\"\n #include \"nms.hpp\"\n #include \"version.hpp\"\n #include \"video_writer.hpp\"\n \n #include <opencv2/opencv.hpp>\n #include <Eigen/Dense>\n #include <csignal>\n #include <iostream>\n #include <chrono>\n #include <thread>\n #include <unordered_map>\n #include <unordered_set>\n #include <deque>\n #include <ctime>\n #include <filesystem>\n \n static std::atomic<bool> shutdown_requested{false};\n \n static void signal_handler(int) {\n     shutdown_requested = true;\n     std::cout << \"\\nShutdown requested — finishing current frame...\" << std::endl;\n }\n \n static std::string now_str() {\n     auto now = std::chrono::system_clock::now();\n     auto t = std::chrono::system_clock::to_time_t(now);\n     std::ostringstream ss;\n     ss << std::put_time(std::localtime(&t), \"%Y-%m-%d %H:%M:%S\");\n     return ss.str();\n }\n \n static cv::VideoCapture open_capture(const std::string& source) {\n     bool is_live = source.substr(0, 7) == \"rtsp://\" || source.substr(0, 7) == \"http://\";\n     if (is_live) {\n         setenv(\"OPENCV_FFMPEG_CAPTURE_OPTIONS\", g_config.rtsp_ffmpeg_options.c_str(), 1);\n     }\n     cv::VideoCapture cap(source, cv::CAP_FFMPEG);\n     cap.set(cv::CAP_PROP_BUFFERSIZE, 1);\n     return cap;\n }\n \n static void warmup_stream(cv::VideoCapture& cap, int n) {\n     std::cout << \"Warming up stream...\" << std::endl;\n     cv::Mat frame;\n     for (int i = 0; i < n; ++i) cap.read(frame);\n     std::cout << \"Stream ready!\" << std::endl;\n }\n \n static bool connect_stream(cv::VideoCapture& cap, int& w, int& h, double& fps) {\n     bool is_live = g_config.source.substr(0, 7) == \"rtsp://\" ||\n                    g_config.source.substr(0, 7) == \"http://\";\n     int attempts = 0;\n     while (!shutdown_requested) {\n         cap = open_capture(g_config.source);\n         if (cap.isOpened()) break;\n         attempts++;\n         if (g_config.max_reconnect_attempts > 0 && attempts >= g_config.max_reconnect_attempts) {\n             std::cerr << \"Cannot open source after \" << attempts\n                       << \" attempts: \" << g_config.source << std::endl;\n             return false;\n         }\n         std::cout << \"Cannot open source, retry in \" << g_config.reconnect_delay_sec\n                   << \"s...\" << std::endl;\n         std::this_thread::sleep_for(std::chrono::seconds(g_config.reconnect_delay_sec));\n     }\n     if (shutdown_requested) return false;\n \n     if (is_live && g_config.warmup_frames > 0)\n         warmup_stream(cap, g_config.warmup_frames);\n \n     w = static_cast<int>(cap.get(cv::CAP_PROP_FRAME_WIDTH));\n     h = static_cast<int>(cap.get(cv::CAP_PROP_FRAME_HEIGHT));\n     fps = cap.get(cv::CAP_PROP_FPS);\n     if (fps <= 1) fps = g_config.output_fps;\n     return true;\n }\n \n struct TrackedInfo {\n     float cx;\n     std::chrono::steady_clock::time_point ts;\n };\n \n static void prune_stale_tracks(std::unordered_map<int, TrackedInfo>& tracked, double prune_sec) {\n     auto now = std::chrono::steady_clock::now();\n     std::vector<int> stale;\n     for (auto& [tid, info] : tracked) {\n         auto age = std::chrono::duration_cast<std::chrono::seconds>(now - info.ts).count();\n         if (age > prune_sec) stale.push_back(tid);\n     }\n     for (int tid : stale) tracked.erase(tid);\n }\n \n int main(int argc, char* argv[]) {\n     signal(SIGINT, signal_handler);\n     signal(SIGTERM, signal_handler);\n \n     if (argc < 2) {\n         std::cout << \"ByteTrack Counter (C++)\" << std::endl;\n         std::cout << \"Version: \" << version::GIT_COMMIT\n                   << \" | branch: \" << version::GIT_BRANCH\n                   << \" | built: \" << version::BUILD_DATE << \" \" << version::BUILD_TIME\n                   << \" | rknn: \" << (version::BUILD_RKNN ? \"ON\" : \"OFF\");\n         if (!version::GIT_TAG.empty())\n             std::cout << \" | tag: \" << version::GIT_TAG;\n         std::cout << std::endl;\n         std::cout << \"Usage: bytetrack-counter <config.env>\" << std::endl;\n         std::cout << \"  config.env  path to environment configuration file (required)\" << std::endl;\n         return 1;\n     }\n \n     g_config.load_from_env(argv[1]);\n \n     std::cout << \"Starting ByteTrack Counter (C++)\" << std::endl;\n     std::cout << \"Version: \" << version::GIT_COMMIT\n               << \" | branch: \" << version::GIT_BRANCH\n               << \" | built: \" << version::BUILD_DATE << \" \" << version::BUILD_TIME\n               << \" | rknn: \" << (version::BUILD_RKNN ? \"ON\" : \"OFF\");\n     if (!version::GIT_TAG.empty())\n         std::cout << \" | tag: \" << version::GIT_TAG;\n     std::cout << std::endl;\n     std::cout << \"Camera: \" << g_config.camera_name << std::endl;\n     std::cout << \"Source: \" << g_config.source << std::endl;\n     std::cout << \"Model: \" << g_config.model_path << \" | imgsz=\" << g_config.imgsz\n               << \" | core_mask=\" << g_config.core_mask << std::endl;\n     std::cout << \"DB: \" << g_config.db_path << std::endl;\n     std::cout << \"State: \" << g_config.state_file << std::endl;\n     std::cout << \"ByteTrack Index 0: high_thresh=\" << g_config.track_high_thresh_0\n               << \" low_thresh=\" << g_config.track_low_thresh_0\n               << \" match_thresh=\" << g_config.track_match_thresh_0\n               << \" buffer=\" << g_config.track_buffer_0\n               << \" min_hits=\" << g_config.track_min_hits_0 << std::endl;\n     std::cout << \"ByteTrack Index 1: high_thresh=\" << g_config.track_high_thresh_1\n               << \" low_thresh=\" << g_config.track_low_thresh_1\n               << \" match_thresh=\" << g_config.track_match_thresh_1\n               << \" buffer=\" << g_config.track_buffer_1\n               << \" min_hits=\" << g_config.track_min_hits_1 << std::endl;\n \n     if (g_config.live_stream_enabled) {\n         std::filesystem::path live_p(g_config.live_stream_frame_path);\n         if (live_p.has_parent_path())\n             std::filesystem::create_directories(live_p.parent_path());\n     }\n \n     int class_ayam = g_config.ayam_class_id;\n     int class_talenan = g_config.talenan_class_id;\n \n     auto logger = [](const std::string& msg) {\n         std::cout << \"[\" << now_str() << \"] \" << msg << std::endl;\n     };\n \n     BatchStore store(g_config.db_path, g_config.state_file,\n                      g_config.camera_name, g_config.object_label,\n                      g_config.daily_cutoff_time,\n                      g_config.batch_timeout_seconds,\n                      g_config.ignore_batch_label_timeout,\n                      g_config.min_object_per_batch,\n                      g_config.min_duration_per_batch,\n                      logger);\n     store.start_cutoff_watcher();\n \n     std::unique_ptr<CsvLogger> cross_logger;\n     if (g_config.export_csv) {\n         cross_logger = std::make_unique<CsvLogger>(g_config.cross_csv,\n             std::vector<std::string>{\"batch\", \"frame\", \"timestamp\", \"chicken_id\"});\n     }\n \n     RKNNYOLO model(g_config.model_path, g_config.core_mask,\n                    g_config.imgsz, g_config.conf, 0.45f,\n                    g_config.num_classes, 0, g_config.score_sigmoid);\n     if (!model.is_loaded()) {\n         std::cerr << \"ERROR: Failed to load model: \" << g_config.model_path\n                   << std::endl;\n         return 1;\n     }\n \n     ByteTracker ayam_tracker(g_config.track_high_thresh_0, g_config.track_low_thresh_0,\n                               g_config.track_match_thresh_0, g_config.track_buffer_0,\n                               g_config.track_min_hits_0);\n     ByteTracker talenan_tracker(g_config.track_high_thresh_1, g_config.track_low_thresh_1,\n                                  g_config.track_match_thresh_1, g_config.track_buffer_1,\n                                  g_config.track_min_hits_1);\n \n     std::unordered_set<int> ayam_line_crossed;\n     std::unordered_set<int> talenan_line_crossed;\n \n     std::unordered_map<int, int> ayam_cross_flash;\n     std::unordered_map<int, int> talenan_cross_flash;\n     int line_pulse = 0, count_pulse = 0, batch_pulse = 0;\n     std::vector<Popup> popups;\n     std::deque<std::chrono::steady_clock::time_point> crossing_times;\n \n     auto session_start = std::chrono::steady_clock::now();\n     int frame_idx = 0;\n     float inf_ema = 0.0f;\n \n     std::string model_name = g_config.model_path;\n     auto slash = model_name.find_last_of(\"/\\\\\");\n     if (slash != std::string::npos) model_name = model_name.substr(slash + 1);\n \n     cv::VideoCapture cap;\n     int w, h;\n     double fps_prop;\n \n     if (!connect_stream(cap, w, h, fps_prop)) {\n         store.shutdown();\n         return shutdown_requested ? 0 : 1;\n     }\n     bool is_live = g_config.source.substr(0, 7) == \"rtsp://\" ||\n                    g_config.source.substr(0, 7) == \"http://\";\n \n     int line_x = resolve_line_x(w, g_config.line_x, g_config.line_x_frac);\n \n     std::cout << \"RKNN+ByteTrack counter | \" << w << \"x\" << h << \" @ \"\n               << fps_prop << \"fps | line x=\" << line_x\n               << \" | cross=\" << g_config.cross_direction << std::endl;\n \n     std::unique_ptr<VideoBatchWriter> video_writer;\n     if (g_config.record_video) {\n         video_writer = std::make_unique<VideoBatchWriter>(\n             g_config.record_shm_dir, g_config.output_dir,\n             w, h, static_cast<int>(fps_prop),\n-            g_config.record_delay_seconds);\n+            g_config.record_delay_seconds,\n+            g_config.record_end_delay_seconds);\n         auto* vw = video_writer.get();\n         store.set_batch_closed_callback([vw](int bn) { vw->on_batch_closed(bn); });\n     }\n \n     int reconnect_count = 0;\n \n     std::unordered_map<int, TrackedInfo> ayam_tracked;\n     std::unordered_map<int, TrackedInfo> talenan_tracked;\n     cv::Mat prev_gray;\n \n     while (!shutdown_requested) {\n         cv::Mat frame;\n         cap >> frame;\n         if (frame.empty()) {\n             if (!is_live) break;\n             reconnect_count++;\n             std::cout << \"Stream dropped (attempt \" << reconnect_count\n                       << \"), reconnecting...\" << std::endl;\n             cap.release();\n             std::this_thread::sleep_for(std::chrono::seconds(g_config.reconnect_delay_sec));\n             if (!connect_stream(cap, w, h, fps_prop)) break;\n             line_x = resolve_line_x(w, g_config.line_x, g_config.line_x_frac);\n             continue;\n         }\n \n         auto elapsed_sec = std::chrono::duration<double>(\n             std::chrono::steady_clock::now() - session_start).count();\n         auto mono = std::chrono::steady_clock::now();\n \n         if (g_config.reset_counters_at_cutoff && store.check_cutoff_reset()) {\n             std::cout << \"[\" << now_str() << \"] Cutoff reset — resetting frame + tracker counters\" << std::endl;\n             frame_idx = 0;\n             KalmanBoxTracker::count = 0;\n             ayam_tracker.reset();\n             talenan_tracker.reset();\n             ayam_tracked.clear();\n             talenan_tracked.clear();\n             ayam_line_crossed.clear();\n             talenan_line_crossed.clear();\n             ayam_cross_flash.clear();\n             talenan_cross_flash.clear();\n             crossing_times.clear();\n             line_pulse = 0;\n             count_pulse = 0;\n             batch_pulse = 0;\n         }\n \n         bool ayam_crossed_frame = false, batch_closed_frame = false, batch_started_frame = false;\n \n         bool skip_inference = false;\n         if (g_config.motion_detection_enabled) {\n             cv::Mat gray;\n             cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);\n             if (!prev_gray.empty()) {\n                 cv::Mat diff;\n                 cv::absdiff(gray, prev_gray, diff);\n                 double mean_diff = cv::mean(diff)[0];\n                 skip_inference = (mean_diff < g_config.motion_threshold);\n             }\n             prev_gray = gray;\n+            if (!skip_inference && video_writer) video_writer->note_motion();\n+        } else {\n+            if (video_writer) video_writer->note_motion();\n         }\n \n         std::vector<Detection> detections;\n         float inf_ms = 0.0f;\n         if (!skip_inference) {\n             auto inf_start = std::chrono::steady_clock::now();\n             detections = model(frame);\n             inf_ms = std::chrono::duration<float, std::milli>(\n                 std::chrono::steady_clock::now() - inf_start).count();\n         }\n         inf_ema = inf_ema * 0.9f + inf_ms * 0.1f;\n \n         if (!detections.empty()) {\n             std::vector<Eigen::Vector4f> ayam_boxes, talenan_boxes;\n             std::vector<float> ayam_scores, talenan_scores;\n             std::vector<float> ayam_cx_list, talenan_cx_list;\n             std::vector<std::vector<std::vector<cv::Point2f>>> ayam_kpts_list;\n \n             for (const auto& det : detections) {\n                 const auto& bbox = det.bbox;\n                 float cx = (bbox(0) + bbox(2)) / 2.0f;\n \n                 if (det.cls == class_talenan) {\n                     talenan_boxes.push_back(bbox);\n                     talenan_scores.push_back(det.score);\n                     talenan_cx_list.push_back(cx);\n                 } else if (det.cls == class_ayam) {\n                     ayam_boxes.push_back(bbox);\n                     ayam_scores.push_back(det.score);\n                     ayam_cx_list.push_back(cx);\n                     ayam_kpts_list.push_back(det.keypoints);\n                 }\n             }\n \n             int na = static_cast<int>(ayam_boxes.size());\n             int nt = static_cast<int>(talenan_boxes.size());\n \n             if (na > 0) store.ping_activity();\n \n             Eigen::MatrixXf ayam_mat(na, 4), talenan_mat(nt, 4);\n             Eigen::VectorXf ayam_scores_vec(na), talenan_scores_vec(nt);\n \n             for (int i = 0; i < na; ++i) {\n                 ayam_mat.row(i) = ayam_boxes[i];\n                 ayam_scores_vec(i) = ayam_scores[i];\n             }\n             for (int i = 0; i < nt; ++i) {\n                 talenan_mat.row(i) = talenan_boxes[i];\n                 talenan_scores_vec(i) = talenan_scores[i];\n             }\n \n             // Apply NMS per-class to suppress duplicate boxes\n             if (na > 0) {\n+                if (video_writer) video_writer->note_ayam_detection();\n                 auto keep = nms(ayam_mat, ayam_scores_vec);\n                 int nk = static_cast<int>(keep.size());\n                 Eigen::MatrixXf fm(nk, 4);\n                 Eigen::VectorXf fs(nk);\n                 std::vector<Eigen::Vector4f> fb;\n                 std::vector<float> fcx;\n                 std::vector<std::vector<std::vector<cv::Point2f>>> fkpts;\n                 for (int ki = 0; ki < nk; ++ki) {\n                     int idx = keep[ki];\n                     fm.row(ki) = ayam_mat.row(idx);\n                     fs(ki) = ayam_scores_vec(idx);\n                     fb.push_back(ayam_boxes[idx]);\n                     fcx.push_back(ayam_cx_list[idx]);\n                     if (idx < (int)ayam_kpts_list.size())\n                         fkpts.push_back(ayam_kpts_list[idx]);\n                 }\n                 na = nk;\n                 ayam_mat = std::move(fm);\n                 ayam_scores_vec = std::move(fs);\n                 ayam_boxes = std::move(fb);\n                 ayam_cx_list = std::move(fcx);\n                 ayam_kpts_list = std::move(fkpts);\n             }\n             if (nt > 0) {\n                 auto keep = nms(talenan_mat, talenan_scores_vec);\n                 int nk = static_cast<int>(keep.size());\n                 Eigen::MatrixXf fm(nk, 4);\n                 Eigen::VectorXf fs(nk);\n                 std::vector<Eigen::Vector4f> fb;\n                 std::vector<float> fcx;\n                 for (int ki = 0; ki < nk; ++ki) {\n                     int idx = keep[ki];\n                     fm.row(ki) = talenan_mat.row(idx);\n                     fs(ki) = talenan_scores_vec(idx);\n                     fb.push_back(talenan_boxes[idx]);\n                     fcx.push_back(talenan_cx_list[idx]);\n                 }\n                 nt = nk;\n                 talenan_mat = std::move(fm);\n                 talenan_scores_vec = std::move(fs);\n                 talenan_boxes = std::move(fb);\n                 talenan_cx_list = std::move(fcx);\n             }\n \n             TrackResult ayam_tr = ayam_tracker.update(ayam_mat, ayam_scores_vec);\n             TrackResult talenan_tr = talenan_tracker.update(talenan_mat, talenan_scores_vec);\n \n             // Process talenan crossings\n             for (int di = 0; di < nt; ++di) {\n                 auto it = talenan_tr.det_to_track.find(di);\n                 if (it == talenan_tr.det_to_track.end()) continue;\n                 int tid = it->second;\n                 float cx = talenan_cx_list[di];\n \n                 auto tit = talenan_tracked.find(tid);\n                 if (tit != talenan_tracked.end()) {\n                     float prev_cx = tit->second.cx;\n                     if (crossed_line(prev_cx, cx, line_x, g_config.cross_direction) &&\n                         talenan_line_crossed.find(tid) == talenan_line_crossed.end()) {\n                         talenan_line_crossed.insert(tid);\n                         if (store.record_talenan_crossing(tid, talenan_scores_vec(di))) {\n                             batch_closed_frame = true;\n                             talenan_cross_flash[tid] = g_config.cross_flash_frames;\n                             popups.push_back({\n                                 static_cast<int>(cx) - 20,\n                                 static_cast<int>((talenan_boxes[di](1) + talenan_boxes[di](3)) / 2),\n                                 frame_idx, \"BATCH CLOSED\"\n                             });\n                         }\n                     }\n                 }\n                 talenan_tracked[tid] = {cx, mono};\n             }\n \n             // Process ayam crossings\n             for (int di = 0; di < na; ++di) {\n                 auto it = ayam_tr.det_to_track.find(di);\n                 if (it == ayam_tr.det_to_track.end()) continue;\n                 int tid = it->second;\n                 float cx = ayam_cx_list[di];\n \n                 auto tit = ayam_tracked.find(tid);\n                 if (tit != ayam_tracked.end()) {\n                     float prev_cx = tit->second.cx;\n                     if (crossed_line(prev_cx, cx, line_x, g_config.cross_direction) &&\n                         ayam_line_crossed.find(tid) == ayam_line_crossed.end()) {\n                         ayam_line_crossed.insert(tid);\n                         auto [count, started_new] = store.record_ayam_crossing(tid);\n                         std::cout << \"[\" << now_str() << \"] Batch #\" << store.current_batch_number() << \" | count: \" << count << \" | conf: \" << ayam_scores_vec(di) << std::endl;\n                         if (cross_logger) {\n                             std::ostringstream frame_str, tid_str;\n                             frame_str << frame_idx;\n                             tid_str << tid;\n                             cross_logger->write_row({\n                                 std::to_string(store.current_batch_number()),\n                                 frame_str.str(),\n                                 now_str(),\n                                 tid_str.str()\n                             });\n                         }\n                         ayam_crossed_frame = true;\n-                        if (started_new) {\n-                            batch_started_frame = true;\n-                            if (video_writer) video_writer->on_new_batch(store.current_batch_number());\n-                        }\n+                        if (started_new) batch_started_frame = true;\n                         crossing_times.push_back(mono);\n                         ayam_cross_flash[tid] = g_config.cross_flash_frames;\n                         popups.push_back({\n                             static_cast<int>(cx) - 12,\n                             static_cast<int>((ayam_boxes[di](1) + ayam_boxes[di](3)) / 2),\n                             frame_idx, \"+1\"\n                         });\n                     }\n                 }\n                 ayam_tracked[tid] = {cx, mono};\n             }\n \n             // Track lost tracks for continuity\n             for (auto& [tid, cx] : ayam_tr.lost_map) {\n                 if (ayam_tracked.find(tid) == ayam_tracked.end())\n                     ayam_tracked[tid] = {cx, mono};\n             }\n \n             if (video_writer) video_writer->feed_frame(frame);\n \n             // Draw talenan\n             for (int di = 0; di < nt; ++di) {\n                 auto it = talenan_tr.det_to_track.find(di);\n                 if (it == talenan_tr.det_to_track.end()) continue;\n                 int tid = it->second;\n                 const auto& bbox = talenan_boxes[di];\n                 int x1 = static_cast<int>(bbox(0)), y1 = static_cast<int>(bbox(1));\n                 int x2 = static_cast<int>(bbox(2)), y2 = static_cast<int>(bbox(3));\n                 int flash = talenan_cross_flash.count(tid) ? talenan_cross_flash[tid] : 0;\n                 cv::Scalar color = flash > 0 ? C_GREEN : C_TALENAN_BOX;\n                 cv::rectangle(frame, cv::Point(x1, y1), cv::Point(x2, y2), color, flash > 0 ? 3 : 2);\n                 draw_pill(frame, \"TALENAN \" + std::to_string(tid), x1, y1 - 4, color);\n             }\n \n             // Draw ayam\n             for (int di = 0; di < na; ++di) {\n                 auto it = ayam_tr.det_to_track.find(di);\n                 if (it == ayam_tr.det_to_track.end()) continue;\n                 int tid = it->second;\n                 const auto& bbox = ayam_boxes[di];\n                 int x1 = static_cast<int>(bbox(0)), y1 = static_cast<int>(bbox(1));\n                 int x2 = static_cast<int>(bbox(2)), y2 = static_cast<int>(bbox(3));\n                 int flash = ayam_cross_flash.count(tid) ? ayam_cross_flash[tid] : 0;\n                 cv::Scalar color = flash > 0 ? C_GREEN : C_AYAM_BOX;\n                 cv::rectangle(frame, cv::Point(x1, y1), cv::Point(x2, y2), color, flash > 0 ? 3 : 2);\n                 draw_pill(frame, \"ID \" + std::to_string(tid), x1, y1 - 4, color);\n                 if (di < (int)ayam_kpts_list.size() && !ayam_kpts_list[di].empty())\n                     draw_skeleton_bold(frame, ayam_kpts_list[di]);\n             }\n         }\n \n         if (ayam_crossed_frame) {\n             line_pulse = g_config.line_pulse_frames;\n             count_pulse = g_config.count_pulse_frames;\n         }\n         if (batch_closed_frame) {\n             line_pulse = g_config.line_pulse_frames;\n         }\n         if (batch_started_frame) {\n             batch_pulse = g_config.batch_pulse_frames;\n         }\n \n         int batch_num = store.current_batch_number();\n         int batch_count = store.current_batch_count();\n         int display_total = store.display_total();\n \n         while (!crossing_times.empty() &&\n                std::chrono::duration<double>(mono - crossing_times.front()).count() > g_config.rate_window_sec)\n             crossing_times.pop_front();\n         double rate = crossing_times.empty() ? 0.0 :\n             (crossing_times.size() / static_cast<double>(g_config.rate_window_sec) * 60.0);\n \n         draw_elegant_counting_line(frame, line_x, h, line_pulse);\n         draw_hero_count(frame, line_x, h, batch_count, count_pulse);\n         draw_hud(frame, w, batch_num, batch_count, display_total,\n                  elapsed_sec, rate);\n         draw_batch_banner(frame, w, batch_num, batch_pulse);\n         draw_footer(frame, w, h, frame_idx, is_live ? \"LIVE\" : \"FILE\", inf_ema, model_name);\n         popups = draw_popups(frame, popups, frame_idx);\n \n         // Flash decay\n         for (auto& flash_map : {&ayam_cross_flash, &talenan_cross_flash}) {\n             for (auto it = flash_map->begin(); it != flash_map->end(); ) {\n                 it->second--;\n                 if (it->second <= 0) it = flash_map->erase(it);\n                 else ++it;\n             }\n         }\n         line_pulse = std::max(0, line_pulse - 1);\n         count_pulse = std::max(0, count_pulse - 1);\n         batch_pulse = std::max(0, batch_pulse - 1);\n \n         if (g_config.live_stream_enabled && frame_idx % g_config.live_stream_every_n == 0) {\n             try {\n                 std::filesystem::path p(g_config.live_stream_frame_path);\n                 if (p.has_parent_path())\n                     std::filesystem::create_directories(p.parent_path());\n                 std::vector<uint8_t> jpeg;\n                 cv::imencode(\".jpg\", frame, jpeg,\n                     {cv::IMWRITE_JPEG_QUALITY, g_config.live_stream_quality});\n                 std::ofstream f(g_config.live_stream_frame_path, std::ios::binary);\n                 f.write(reinterpret_cast<const char*>(jpeg.data()), jpeg.size());\n             } catch (...) {}\n         }\n \n         frame_idx++;\n \n         prune_stale_tracks(ayam_tracked, g_config.tracked_prune_sec);\n         prune_stale_tracks(talenan_tracked, g_config.tracked_prune_sec);\n     }\n \n     cap.release();\n     if (video_writer) video_writer->shutdown();\n     store.shutdown();\n \n     std::cout << \"\\n=== Batch Summary (SQLite) ===\" << std::endl;\n     std::cout << \"Database: \" << g_config.db_path << std::endl;\n \n     return 0;\n }\n",
+              "additions": 7,
+              "deletions": 5,
+              "status": "modified"
+            },
+            {
+              "file": "src/video_writer.cpp",
+              "patch": "Index: src/video_writer.cpp\n===================================================================\n--- src/video_writer.cpp\t\n+++ src/video_writer.cpp\t\n@@ -1,147 +1,178 @@\n #include \"video_writer.hpp\"\n #include <iostream>\n #include <fstream>\n #include <sstream>\n #include <iomanip>\n #include <ctime>\n #include <filesystem>\n #include <sys/wait.h>\n #include <unistd.h>\n \n VideoBatchWriter::VideoBatchWriter(const std::string& shm_dir,\n                                    const std::string& output_dir,\n                                    int w, int h, int fps,\n-                                   float delay_sec)\n+                                   float delay_sec,\n+                                   float end_delay_sec)\n     : shm_dir_(shm_dir), output_dir_(output_dir),\n-      w_(w), h_(h), fps_(fps), delay_sec_(delay_sec)\n+      w_(w), h_(h), fps_(fps),\n+      delay_sec_(delay_sec), end_delay_sec_(end_delay_sec)\n {\n     ensure_dir(shm_dir_);\n     ensure_dir(output_dir_);\n \n     for (const auto& entry : std::filesystem::directory_iterator(shm_dir_)) {\n         if (entry.path().extension() == \".mp4\") {\n             std::filesystem::remove(entry.path());\n         }\n     }\n }\n \n VideoBatchWriter::~VideoBatchWriter() {\n     shutdown();\n }\n \n void VideoBatchWriter::ensure_dir(const std::string& dir) {\n     std::filesystem::create_directories(dir);\n }\n \n-void VideoBatchWriter::on_new_batch(int batch_number) {\n-    current_batch_ = batch_number;\n-    delaying_ = true;\n-    delay_start_ = std::chrono::steady_clock::now();\n+void VideoBatchWriter::note_motion() {\n+    if (state_ == IDLE) {\n+        start_recording();\n+        state_ = SPECULATING;\n+        state_start_ = std::chrono::steady_clock::now();\n+    }\n }\n \n+void VideoBatchWriter::note_ayam_detection() {\n+    if (state_ == SPECULATING) {\n+        state_ = CONFIRMED;\n+    }\n+}\n+\n void VideoBatchWriter::on_batch_closed(int batch_number) {\n-    if (recording_ && current_batch_ == batch_number) {\n-        stop_and_move(batch_number);\n+    current_batch_ = batch_number;\n+    if (state_ == CONFIRMED) {\n+        state_ = STOPPING;\n+        state_start_ = std::chrono::steady_clock::now();\n     }\n-    delaying_ = false;\n-    recording_ = false;\n-    current_batch_ = 0;\n }\n \n void VideoBatchWriter::feed_frame(const cv::Mat& raw) {\n-    if (delaying_) {\n-        auto elapsed = std::chrono::duration<float>(\n-            std::chrono::steady_clock::now() - delay_start_).count();\n+    auto now = std::chrono::steady_clock::now();\n+\n+    if (state_ == SPECULATING) {\n+        float elapsed = std::chrono::duration<float>(now - state_start_).count();\n         if (elapsed >= delay_sec_) {\n-            delaying_ = false;\n-            start_recording(current_batch_);\n+            stop_and_delete();\n+            state_ = IDLE;\n+            return;\n         }\n     }\n-    if (recording_ && writer_.isOpened()) {\n+\n+    if (state_ == STOPPING) {\n+        float elapsed = std::chrono::duration<float>(now - state_start_).count();\n+        if (elapsed >= end_delay_sec_) {\n+            stop_and_move(current_batch_);\n+            state_ = IDLE;\n+            return;\n+        }\n+    }\n+\n+    if (state_ != IDLE && writer_.isOpened()) {\n         writer_.write(raw);\n     }\n }\n \n-void VideoBatchWriter::start_recording(int batch_number) {\n+void VideoBatchWriter::start_recording() {\n     if (writer_.isOpened()) writer_.release();\n \n     auto t = std::chrono::system_clock::to_time_t(std::chrono::system_clock::now());\n     std::ostringstream name;\n-    name << \"batch_\" << batch_number << \"_\"\n+    name << \"batch_pending_\"\n          << std::put_time(std::localtime(&t), \"%Y%m%d_%H%M%S\") << \".mp4\";\n     current_path_ = shm_dir_ + \"/\" + name.str();\n \n     writer_.open(current_path_,\n                  cv::VideoWriter::fourcc('a','v','c','1'),\n                  fps_, cv::Size(w_, h_));\n-    recording_ = writer_.isOpened();\n \n-    if (recording_) {\n-        std::cout << \"[RECORD] Started: \" << current_path_ << std::endl;\n+    if (writer_.isOpened()) {\n+        std::cout << \"[RECORD] Speculating: \" << current_path_ << std::endl;\n     } else {\n         std::cerr << \"[RECORD] Failed to open: \" << current_path_ << std::endl;\n     }\n }\n \n static void copy_and_clean(const std::string& src, const std::string& dst) {\n     if (src.empty() || dst.empty()) return;\n     {\n         std::ifstream ifs(src, std::ios::binary);\n         if (ifs) {\n             std::ofstream ofs(dst, std::ios::binary);\n             ofs << ifs.rdbuf();\n             ofs.flush();\n         }\n     }\n     std::error_code ec;\n     std::filesystem::remove(src, ec);\n }\n \n+void VideoBatchWriter::stop_and_delete() {\n+    if (writer_.isOpened()) {\n+        writer_.release();\n+    }\n+    if (!current_path_.empty()) {\n+        std::cout << \"[RECORD] Discarding: \" << current_path_ << std::endl;\n+        std::error_code ec;\n+        std::filesystem::remove(current_path_, ec);\n+        current_path_.clear();\n+    }\n+}\n+\n void VideoBatchWriter::stop_and_move(int batch_number) {\n     if (writer_.isOpened()) {\n         writer_.release();\n         std::cout << \"[RECORD] Stopped: \" << current_path_ << std::endl;\n     }\n \n     std::string src = current_path_;\n     current_path_.clear();\n \n     auto t = std::chrono::system_clock::to_time_t(std::chrono::system_clock::now());\n     std::ostringstream name;\n     name << \"batch_\" << batch_number << \"_\"\n          << std::put_time(std::localtime(&t), \"%Y%m%d_%H%M%S\") << \".mp4\";\n     std::string dst = output_dir_ + \"/\" + name.str();\n \n     pid_t pid = fork();\n     if (pid == 0) {\n         close(STDIN_FILENO);\n         close(STDOUT_FILENO);\n         close(STDERR_FILENO);\n         copy_and_clean(src, dst);\n         _exit(0);\n     }\n }\n \n void VideoBatchWriter::shutdown() {\n     if (writer_.isOpened()) {\n         writer_.release();\n     }\n-    recording_ = false;\n-    delaying_ = false;\n+    state_ = IDLE;\n \n     if (!current_path_.empty()) {\n         std::string src = current_path_;\n         std::string dst = output_dir_ + \"/\" +\n             std::filesystem::path(current_path_).filename().string();\n         current_path_.clear();\n \n         pid_t pid = fork();\n         if (pid == 0) {\n             close(STDIN_FILENO);\n             close(STDOUT_FILENO);\n             close(STDERR_FILENO);\n             copy_and_clean(src, dst);\n             _exit(0);\n         }\n     }\n }\n",
+              "additions": 55,
+              "deletions": 24,
+              "status": "modified"
+            },
+            {
+              "file": "src/video_writer.hpp",
+              "patch": "Index: src/video_writer.hpp\n===================================================================\n--- src/video_writer.hpp\t\n+++ src/video_writer.hpp\t\n@@ -1,36 +1,41 @@\n #pragma once\n #include <opencv2/opencv.hpp>\n #include <string>\n #include <chrono>\n \n class VideoBatchWriter {\n public:\n     VideoBatchWriter(const std::string& shm_dir,\n                      const std::string& output_dir,\n                      int w, int h, int fps,\n-                     float delay_sec);\n+                     float delay_sec,\n+                     float end_delay_sec);\n \n     ~VideoBatchWriter();\n \n-    void on_new_batch(int batch_number);\n+    void note_motion();\n+    void note_ayam_detection();\n     void on_batch_closed(int batch_number);\n     void feed_frame(const cv::Mat& raw);\n     void shutdown();\n \n private:\n-    void start_recording(int batch_number);\n+    void start_recording();\n+    void stop_and_delete();\n     void stop_and_move(int batch_number);\n     void ensure_dir(const std::string& dir);\n \n+    enum State { IDLE, SPECULATING, CONFIRMED, STOPPING };\n+\n     std::string shm_dir_;\n     std::string output_dir_;\n     int w_, h_, fps_;\n     float delay_sec_;\n+    float end_delay_sec_;\n \n-    bool delaying_ = false;\n-    bool recording_ = false;\n-    std::chrono::steady_clock::time_point delay_start_;\n+    State state_ = IDLE;\n+    std::chrono::steady_clock::time_point state_start_;\n     cv::VideoWriter writer_;\n     std::string current_path_;\n     int current_batch_ = 0;\n };\n",
+              "additions": 11,
+              "deletions": 6,
+              "status": "modified"
+            }
+          ]
+        },
+        "id": "msg_fab5e25cc001gMGkSe3qn3T5qU",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "type": "text",
+          "text": "it is wrong. Start recording while motion detected. Then wait for RECORD_DELAY_SECONDS, until first ayam detected. If RECORD_DELAY_SECONDS expired, delete previous record and restart recording, repeat until first ayam detected. Once first ayam detected, wait for end of batch signal and add  RECORD_END_DELAY=1 seconds to stop the recording.",
+          "id": "prt_fab5e25d0001LLVXVR56dk1BVH",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5e25cc001gMGkSe3qn3T5qU"
+        }
+      ]
+    },
+    {
+      "info": {
+        "parentID": "msg_fab5e25cc001gMGkSe3qn3T5qU",
+        "role": "assistant",
+        "mode": "build",
+        "agent": "build",
+        "path": {
+          "cwd": "/opt/bytetrack-counter-cpp",
+          "root": "/opt/bytetrack-counter-cpp"
+        },
+        "cost": 0.002769732,
+        "tokens": {
+          "total": 118516,
+          "input": 460,
+          "output": 86,
+          "reasoning": 2386,
+          "cache": {
+            "write": 0,
+            "read": 115584
+          }
+        },
+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
+        "time": {
+          "created": 1785286501964,
+          "completed": 1785286541362
+        },
+        "finish": "tool-calls",
+        "id": "msg_fab5e264b001eq4Z41TDPizPiq",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "7953b24bcea576d89617acd8797f6d4d33fceadd",
+          "type": "step-start",
+          "id": "prt_fab5e2b130012RHRjKstgmfBo2",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5e264b001eq4Z41TDPizPiq"
+        },
+        {
+          "type": "reasoning",
+          "text": "The user wants a completely different flow:\n\n1. Start recording immediately when motion is detected (not after ayam)\n2. Wait for RECORD_DELAY_SECONDS - if no ayam detected within that time, delete the recording and restart\n3. Once first ayam is detected → keep recording\n4. When batch ends (talenan), wait RECORD_END_DELAY seconds (default 1) before stopping\n5. Then stop recording, move file\n\nThis is for the FIRST batch only? Or every batch?\n\nLet me re-read: \"Once first ayam detected, wait for end of batch signal and add RECORD_END_DELAY=1 seconds to stop the recording.\"\n\nI think this applies to every batch. Let me break it down:\n\nFor EVERY batch:\n1. Motion detected → start recording immediately\n2. While recording, wait up to RECORD_DELAY_SECONDS for first ayam detection\n3. If RECORD_DELAY_SECONDS expires with no ayam → delete recording, restart from step 1 (but only restart recording if motion is detected, otherwise just wait)\n4. If ayam detected within RECORD_DELAY_SECONDS → keep recording\n5. Wait for batch end signal (talenan crossing, timeout, cutoff)\n6. When batch end signal arrives → continue recording for RECORD_END_DELAY seconds, then stop\n\nNew config needed: `RECORD_END_DELAY` (float, default 1.0)\n\nAlso I need to integrate motion detection into the video writer. Currently motion detection is in main.cpp and controls whether inference runs. I can use the same skip_inference flag to know if motion was detected.\n\nWait, but the motion detection might be disabled. If motion detection is disabled, should recording start immediately?\n\nLet me think about it differently. The user said \"Start recording while motion detected.\" So:\n- If motion detection enabled → start recording when motion detected\n- If motion detection disabled → start recording immediately (always recording)\n\nFor the \"motion detected\" case, I need to know from main.cpp whether motion was detected this frame. Let me check the current flow:\n\nIn main.cpp:\n```cpp\nbool skip_inference = false;\nif (g_config.motion_detection_enabled) {\n    // ... compute mean_diff\n    skip_inference = (mean_diff < g_config.motion_threshold);\n}\n```\n\nSo `skip_inference` is true when no motion. I can use `!skip_inference` or a separate `motion_detected` flag.\n\nBut actually, if motion detection is disabled, `skip_inference` is false (default), meaning \"motion is assumed.\" So if the user's intent is:\n- Motion detection enabled → recording starts when motion is detected → `!skip_inference`\n- Motion detection disabled → recording starts immediately → always true\n\nI think the simplest approach: the video writer should always try to record (it's in \"watch for batch\" mode). But the \"motion detected\" trigger should come from outside.\n\nWait, let me re-read the requirement: \"Start recording while motion detected. Then wait for RECORD_DELAY_SECONDS, until first ayam detected.\"\n\nI think the flow is:\n1. Wait for motion to be detected\n2. Once motion detected → start recording\n3. Wait for ayam to appear (up to RECORD_DELAY_SECONDS)\n4. If ayam appears → keep recording (batch is confirmed)\n5. If no ayam within RECORD_DELAY_SECONDS → delete recording, go back to 1\n6. When batch end signal → wait RECORD_END_DELAY more → stop + move\n\nFor subsequent batches, same flow but motion might already be happening.\n\nActually, I think it might be simpler. Let me reconsider:\n\nThe user's flow:\n- State machine: IDLE → RECORDING_WAITING → RECORDING_CONFIRMED → STOPPING → IDLE\n- IDLE: waiting for any activity\n- When motion/batch starts → RECORDING_WAITING: record to shm, wait for ayam\n- If ayam detected within RECORD_DELAY_SECONDS → RECORDING_CONFIRMED: confirmed rec, await batch end\n- If no ayam within RECORD_DELAY_SECONDS → delete recording, back to IDLE\n- When batch end received + RECORD_END_DELAY elapsed → STOPPING: stop + move, back to IDLE\n\nFor the \"start recording\" trigger, I think the user means \"start recording when there's a batch\" (not necessarily motion). The batch starts when the first ayam crosses the line. But that conflicts with \"wait for RECORD_DELAY_SECONDS until first ayam detected\" — the batch is created by ayam crossing, so ayam is already detected!\n\nLet me re-read again: \"Start recording while motion detected. Then wait for RECORD_DELAY_SECONDS, until first ayam detected.\"\n\nI think the flow is:\n1. When motion is detected (motion_detection_enabled) OR always (motion_detection disabled)\n2. Start recording to shm\n3. Wait up to RECORD_DELAY_SECONDS for ayam to be detected (inferred by model)\n4. If no ayam → delete recording, goto 1\n5. If ayam → confirmed, keep recording\n6. Receive batch end → wait RECORD_END_DELAY → stop + move\n\nThis means recording starts BEFORE the batch is created (before first ayam crosses the line). The batch starts when ayam first crosses, but recording starts when ayam is first DETECTED (even before crossing).\n\nBut detection happens before crossing. So:\n1. Motion detected → start recording\n2. Ayam appears in frame (detected, but hasn't crossed yet) → confirmed\n3. Ayam crosses line → batch starts (on_new_batch)\n4. Talenan crosses → batch ends → wait RECORD_END_DELAY → stop recording\n\nHmm, but the user said \"wait for RECORD_DELAY_SECONDS, until first ayam detected. If RECORD_DELAY_SECONDS expired, delete previous record and restart recording, repeat until first ayam detected.\" This means the recording starts, waits for ayam detection, and if no ayam within the delay, it restarts.\n\nThen: \"Once first ayam detected, wait for end of batch signal and add RECORD_END_DELAY=1 seconds to stop the recording.\"\n\nSo the end of batch signal comes from `BatchStore` callback. After receiving it, wait RECORD_END_DELAY seconds, then stop recording.\n\nFor consecutive batches, the same flow repeats.\n\nNew states:\n- IDLE: not recording\n- SPECULATING: recording but haven't seen ayam yet (will delete if delay expires)\n- CONFIRMED: ayam seen, recording to keep\n- STOPPING: batch ended, waiting RECORD_END_DELAY before stop\n\nI also need to integrate with motion detection. Let me add `note_motion()` or use the `skip_inference` flag passed from main.cpp.\n\nActually, let me add a method `note_motion()` called when motion is detected. And `note_ayam_detection()` or reuse the existing flow. \n\nWait, looking at the main loop, I have `skip_inference` which is true when no motion. But I call `feed_frame` after the inference section. Let me trace when ayam detections exist:\n\n```cpp\ndetections = model(frame); // inference\n// ... partition into ayam_boxes, etc.\nif (na > 0) { /* ayam detections exist */ }\n// ... then drawing code\nif (video_writer) video_writer->feed_frame(frame);\n```\n\nI already have `na > 0` for ayam detections. I can pass this into `feed_frame` or have a `note_ayam_seen()` method.\n\nLet me redesign VideoBatchWriter:\n\n```cpp\nclass VideoBatchWriter {\n    enum State { IDLE, SPECULATING, CONFIRMED, STOPPING };\n    \n    State state_ = IDLE;\n    float delay_sec_;        // RECORD_DELAY_SECONDS\n    float end_delay_sec_;    // RECORD_END_DELAY\n    std::chrono::steady_clock::time_point state_start_;\n    \n    // In feed_frame:\n    // - If IDLE and motion → start recording, state = SPECULATING, state_start_ = now\n    // - If SPECULATING and ayam seen → state = CONFIRMED\n    // - If SPECULATING and delay expired → delete, state = IDLE\n    // - If CONFIRMED and batch_end received → state = STOPPING, state_start_ = now\n    // - If STOPPING and end_delay expired → stop + move, state = IDLE\n    \n    void motion_detected();  // called from main.cpp when motion detected\n    void note_ayam_detection(); // called when ayam detections exist in frame\n    void on_batch_closed(int bn); // from callback\n    void feed_frame(const cv::Mat& raw);\n};\n```\n\nFor motion detection integration:\n- In main.cpp, after computing `skip_inference`, if `!skip_inference` (motion detected), call `video_writer->note_motion()`\n- Also handle the case where motion_detection is disabled → always call note_motion() or make IDLE → SPECULATING transition automatically\n\nActually, let me think about this more carefully. If motion detection is disabled, we should always be recording (SPECULATING or CONFIRMED). Let me handle it:\n- Motion detection enabled: only start recording when motion detected\n- Motion detection disabled: always in recording mode\n\nSo `note_motion()` is only called when motion_detection is enabled AND motion detected. If disabled, we start recording from initialization (driven by the first batch or immediately).\n\nHmm, but the flow says \"Start recording while motion detected\" — this implies recording starts AS SOON AS motion is detected, not when batch starts. So the trigger is motion, not batch.\n\nLet me simplify: \n\n1. If motion_detection_enabled → recording starts when motion is detected (idle → speculating)\n2. If motion_detection disabled → recording starts immediately (always speculating/confirmed)\n\nBut wait, for (2), when does it start? From the first frame? Or when the first batch starts?\n\nI think for (2), it should start from the first frame, then wait for ayam detection. If no ayam within RECORD_DELAY_SECONDS, delete and restart.\n\nLet me implement this. The constructor should put the writer in IDLE state. The transition from IDLE to SPECULATING happens on `note_motion()`. For motion_detection disabled, we need a way to trigger recording...\n\nActually, let me just have the constructor start in SPECULATING state if motion detection is disabled. Or, have a `note_motion()` call at the start.\n\nSimplest: if motion detection is disabled, call `note_motion()` on the first frame. This starts the recording cycle.\n\nLet me define the new config and class now.",
+          "time": {
+            "start": 1785286503596,
+            "end": 1785286540502
+          },
+          "id": "prt_fab5e2cac001WVmZftgiJVHGZi",
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+            "output": "<path>/opt/bytetrack-counter-cpp/src/config.hpp</path>\n<type>file</type>\n<content>\n60:     int tracked_prune_sec = 300;\n61:     bool record_video = false;\n62:     int video_segment_sec = 3600;\n63:     int output_fps = 15;\n64:     float record_delay_seconds = 10.0f;\n65:     std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";\n66: \n67:     bool live_stream_enabled = false;\n68:     std::string live_stream_frame_path = \"/dev/shm/bytetrack-counter/live_frame.jpg\";\n69:     int live_stream_quality = 75;\n70:     int live_stream_every_n = 2;\n71: \n72:     std::string rtsp_ffmpeg_options = \"rtsp_transport;tcp|fflags;nobuffer|flags;low_delay\";\n73: \n74:     int cross_flash_frames = 12;\n\n(Showing lines 60-74 of 83. Use offset=75 to continue.)\n</content>",
+            "metadata": {
+              "preview": "    int tracked_prune_sec = 300;\n    bool record_video = false;\n    int video_segment_sec = 3600;\n    int output_fps = 15;\n    float record_delay_seconds = 10.0f;\n    std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";\n\n    bool live_stream_enabled = false;\n    std::string live_stream_frame_path = \"/dev/shm/bytetrack-counter/live_frame.jpg\";\n    int live_stream_quality = 75;\n    int live_stream_every_n = 2;\n\n    std::string rtsp_ffmpeg_options = \"rtsp_transport;tcp|fflags;nobuffer|flags;low_delay\";\n\n    int cross_flash_frames = 12;",
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+          "messageID": "msg_fab5ec055001SYT5D1FneRCy1v"
+        },
+        {
+          "type": "reasoning",
+          "text": "Let me add `record_end_delay_seconds` to config.",
+          "time": {
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+            "end": 1785286543541
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+          "id": "prt_fab5ec759001UJoyu1wRarBZRo",
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+          "messageID": "msg_fab5ec055001SYT5D1FneRCy1v"
+        },
+        {
+          "type": "text",
+          "text": "First, add `RECORD_END_DELAY` config:",
+          "time": {
+            "start": 1785286543545,
+            "end": 1785286544928
+          },
+          "id": "prt_fab5ec8b9001Xa3No8wvuhEe9S",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5ec055001SYT5D1FneRCy1v"
+        },
+        {
+          "type": "tool",
+          "tool": "edit",
+          "callID": "call_00_xRgRWrAxNV7eyDh7QkkZ5290",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/config.hpp",
+              "newString": "    float record_delay_seconds = 10.0f;\n    float record_end_delay_seconds = 1.0f;\n    std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";",
+              "oldString": "    float record_delay_seconds = 10.0f;\n    std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/src/config.hpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/config.hpp\n+++ /opt/bytetrack-counter-cpp/src/config.hpp\n@@ -61,8 +61,9 @@\n bool record_video = false;\n int video_segment_sec = 3600;\n int output_fps = 15;\n float record_delay_seconds = 10.0f;\n+float record_end_delay_seconds = 1.0f;\n std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";\n \n bool live_stream_enabled = false;\n std::string live_stream_frame_path = \"/dev/shm/bytetrack-counter/live_frame.jpg\";\n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/src/config.hpp",
+                "patch": "Index: /opt/bytetrack-counter-cpp/src/config.hpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/config.hpp\n+++ /opt/bytetrack-counter-cpp/src/config.hpp\n@@ -61,8 +61,9 @@\n bool record_video = false;\n int video_segment_sec = 3600;\n int output_fps = 15;\n float record_delay_seconds = 10.0f;\n+float record_end_delay_seconds = 1.0f;\n std::string record_shm_dir = \"/dev/shm/bytetrack-counter\";\n \n bool live_stream_enabled = false;\n std::string live_stream_frame_path = \"/dev/shm/bytetrack-counter/live_frame.jpg\";\n",
+                "additions": 1,
+                "deletions": 0
+              },
+              "truncated": false
+            },
+            "title": "src/config.hpp",
+            "time": {
+              "start": 1785286544914,
+              "end": 1785286544923
+            }
+          },
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+          "messageID": "msg_fab5ec055001SYT5D1FneRCy1v"
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+          "root": "/opt/bytetrack-counter-cpp"
+        },
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+        "finish": "tool-calls",
+        "id": "msg_fab5ecf34001vNFdCx1De5eZz5",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "9ccb0f337602c03d8b6c93a095ff8112fb92c366",
+          "type": "step-start",
+          "id": "prt_fab5ed40b001MNGxALckpG6QkV",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5ecf34001vNFdCx1De5eZz5"
+        },
+        {
+          "type": "reasoning",
+          "text": "Now add loading in config.cpp.",
+          "time": {
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+            "end": 1785286547796
+          },
+          "id": "prt_fab5ed702001a67Xklt7FLpDsN",
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+        },
+        {
+          "type": "tool",
+          "tool": "edit",
+          "callID": "call_00_KMbcTHc3IANCOhZg9iEH0970",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/config.cpp",
+              "newString": "    auto rds_s = get_env(\"RECORD_DELAY_SECONDS\");\n    if (!rds_s.empty()) record_delay_seconds = std::stof(rds_s);\n    auto reds_s = get_env(\"RECORD_END_DELAY\");\n    if (!reds_s.empty()) record_end_delay_seconds = std::stof(reds_s);\n    record_shm_dir = get_env(\"RECORD_SHM_DIR\", record_shm_dir);",
+              "oldString": "    auto rds_s = get_env(\"RECORD_DELAY_SECONDS\");\n    if (!rds_s.empty()) record_delay_seconds = std::stof(rds_s);\n    record_shm_dir = get_env(\"RECORD_SHM_DIR\", record_shm_dir);"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/src/config.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/config.cpp\n+++ /opt/bytetrack-counter-cpp/src/config.cpp\n@@ -141,8 +141,10 @@\n auto ofps_s = get_env(\"OUTPUT_FPS\");\n if (!ofps_s.empty()) output_fps = std::stoi(ofps_s);\n auto rds_s = get_env(\"RECORD_DELAY_SECONDS\");\n if (!rds_s.empty()) record_delay_seconds = std::stof(rds_s);\n+auto reds_s = get_env(\"RECORD_END_DELAY\");\n+if (!reds_s.empty()) record_end_delay_seconds = std::stof(reds_s);\n record_shm_dir = get_env(\"RECORD_SHM_DIR\", record_shm_dir);\n \n auto lse_s = get_env(\"LIVE_STREAM_ENABLED\");\n live_stream_enabled = (lse_s == \"true\");\n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/src/config.cpp",
+                "patch": "Index: /opt/bytetrack-counter-cpp/src/config.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/config.cpp\n+++ /opt/bytetrack-counter-cpp/src/config.cpp\n@@ -141,8 +141,10 @@\n auto ofps_s = get_env(\"OUTPUT_FPS\");\n if (!ofps_s.empty()) output_fps = std::stoi(ofps_s);\n auto rds_s = get_env(\"RECORD_DELAY_SECONDS\");\n if (!rds_s.empty()) record_delay_seconds = std::stof(rds_s);\n+auto reds_s = get_env(\"RECORD_END_DELAY\");\n+if (!reds_s.empty()) record_end_delay_seconds = std::stof(reds_s);\n record_shm_dir = get_env(\"RECORD_SHM_DIR\", record_shm_dir);\n \n auto lse_s = get_env(\"LIVE_STREAM_ENABLED\");\n live_stream_enabled = (lse_s == \"true\");\n",
+                "additions": 2,
+                "deletions": 0
+              },
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+              "content": "#pragma once\n#include <opencv2/opencv.hpp>\n#include <string>\n#include <chrono>\n\nclass VideoBatchWriter {\npublic:\n    VideoBatchWriter(const std::string& shm_dir,\n                     const std::string& output_dir,\n                     int w, int h, int fps,\n                     float delay_sec,\n                     float end_delay_sec);\n\n    ~VideoBatchWriter();\n\n    void note_motion();\n    void note_ayam_detection();\n    void on_batch_closed(int batch_number);\n    void feed_frame(const cv::Mat& raw);\n    void shutdown();\n\nprivate:\n    void start_recording();\n    void stop_and_delete();\n    void stop_and_move(int batch_number);\n    void ensure_dir(const std::string& dir);\n\n    enum State { IDLE, SPECULATING, CONFIRMED, STOPPING };\n\n    std::string shm_dir_;\n    std::string output_dir_;\n    int w_, h_, fps_;\n    float delay_sec_;\n    float end_delay_sec_;\n\n    State state_ = IDLE;\n    std::chrono::steady_clock::time_point state_start_;\n    cv::VideoWriter writer_;\n    std::string current_path_;\n    int current_batch_ = 0;\n};\n"
+            },
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+        "id": "msg_fab5ef8cd001yvd492KX2Fd3OT",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "275621a927e7677d30917fe1fee908ae3a5887c4",
+          "type": "step-start",
+          "id": "prt_fab5efdbc001l0x42F1VDijO5c",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5ef8cd001yvd492KX2Fd3OT"
+        },
+        {
+          "type": "reasoning",
+          "text": "Now write the implementation.",
+          "time": {
+            "start": 1785286557515,
+            "end": 1785286557894
+          },
+          "id": "prt_fab5eff4b001ki38DvePif45AL",
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+          "messageID": "msg_fab5ef8cd001yvd492KX2Fd3OT"
+        },
+        {
+          "type": "tool",
+          "tool": "write",
+          "callID": "call_00_F4IToGCdxnx9MCRDkVUT7047",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/video_writer.cpp",
+              "content": "#include \"video_writer.hpp\"\n#include <iostream>\n#include <fstream>\n#include <sstream>\n#include <iomanip>\n#include <ctime>\n#include <filesystem>\n#include <sys/wait.h>\n#include <unistd.h>\n\nVideoBatchWriter::VideoBatchWriter(const std::string& shm_dir,\n                                   const std::string& output_dir,\n                                   int w, int h, int fps,\n                                   float delay_sec,\n                                   float end_delay_sec)\n    : shm_dir_(shm_dir), output_dir_(output_dir),\n      w_(w), h_(h), fps_(fps),\n      delay_sec_(delay_sec), end_delay_sec_(end_delay_sec)\n{\n    ensure_dir(shm_dir_);\n    ensure_dir(output_dir_);\n\n    for (const auto& entry : std::filesystem::directory_iterator(shm_dir_)) {\n        if (entry.path().extension() == \".mp4\") {\n            std::filesystem::remove(entry.path());\n        }\n    }\n}\n\nVideoBatchWriter::~VideoBatchWriter() {\n    shutdown();\n}\n\nvoid VideoBatchWriter::ensure_dir(const std::string& dir) {\n    std::filesystem::create_directories(dir);\n}\n\nvoid VideoBatchWriter::note_motion() {\n    if (state_ == IDLE) {\n        start_recording();\n        state_ = SPECULATING;\n        state_start_ = std::chrono::steady_clock::now();\n    }\n}\n\nvoid VideoBatchWriter::note_ayam_detection() {\n    if (state_ == SPECULATING) {\n        state_ = CONFIRMED;\n    }\n}\n\nvoid VideoBatchWriter::on_batch_closed(int batch_number) {\n    current_batch_ = batch_number;\n    if (state_ == CONFIRMED) {\n        state_ = STOPPING;\n        state_start_ = std::chrono::steady_clock::now();\n    }\n}\n\nvoid VideoBatchWriter::feed_frame(const cv::Mat& raw) {\n    auto now = std::chrono::steady_clock::now();\n\n    if (state_ == SPECULATING) {\n        float elapsed = std::chrono::duration<float>(now - state_start_).count();\n        if (elapsed >= delay_sec_) {\n            stop_and_delete();\n            state_ = IDLE;\n            return;\n        }\n    }\n\n    if (state_ == STOPPING) {\n        float elapsed = std::chrono::duration<float>(now - state_start_).count();\n        if (elapsed >= end_delay_sec_) {\n            stop_and_move(current_batch_);\n            state_ = IDLE;\n            return;\n        }\n    }\n\n    if (state_ != IDLE && writer_.isOpened()) {\n        writer_.write(raw);\n    }\n}\n\nvoid VideoBatchWriter::start_recording() {\n    if (writer_.isOpened()) writer_.release();\n\n    auto t = std::chrono::system_clock::to_time_t(std::chrono::system_clock::now());\n    std::ostringstream name;\n    name << \"batch_pending_\"\n         << std::put_time(std::localtime(&t), \"%Y%m%d_%H%M%S\") << \".mp4\";\n    current_path_ = shm_dir_ + \"/\" + name.str();\n\n    writer_.open(current_path_,\n                 cv::VideoWriter::fourcc('a','v','c','1'),\n                 fps_, cv::Size(w_, h_));\n\n    if (writer_.isOpened()) {\n        std::cout << \"[RECORD] Speculating: \" << current_path_ << std::endl;\n    } else {\n        std::cerr << \"[RECORD] Failed to open: \" << current_path_ << std::endl;\n    }\n}\n\nstatic void copy_and_clean(const std::string& src, const std::string& dst) {\n    if (src.empty() || dst.empty()) return;\n    {\n        std::ifstream ifs(src, std::ios::binary);\n        if (ifs) {\n            std::ofstream ofs(dst, std::ios::binary);\n            ofs << ifs.rdbuf();\n            ofs.flush();\n        }\n    }\n    std::error_code ec;\n    std::filesystem::remove(src, ec);\n}\n\nvoid VideoBatchWriter::stop_and_delete() {\n    if (writer_.isOpened()) {\n        writer_.release();\n    }\n    if (!current_path_.empty()) {\n        std::cout << \"[RECORD] Discarding: \" << current_path_ << std::endl;\n        std::error_code ec;\n        std::filesystem::remove(current_path_, ec);\n        current_path_.clear();\n    }\n}\n\nvoid VideoBatchWriter::stop_and_move(int batch_number) {\n    if (writer_.isOpened()) {\n        writer_.release();\n        std::cout << \"[RECORD] Stopped: \" << current_path_ << std::endl;\n    }\n\n    std::string src = current_path_;\n    current_path_.clear();\n\n    auto t = std::chrono::system_clock::to_time_t(std::chrono::system_clock::now());\n    std::ostringstream name;\n    name << \"batch_\" << batch_number << \"_\"\n         << std::put_time(std::localtime(&t), \"%Y%m%d_%H%M%S\") << \".mp4\";\n    std::string dst = output_dir_ + \"/\" + name.str();\n\n    pid_t pid = fork();\n    if (pid == 0) {\n        close(STDIN_FILENO);\n        close(STDOUT_FILENO);\n        close(STDERR_FILENO);\n        copy_and_clean(src, dst);\n        _exit(0);\n    }\n}\n\nvoid VideoBatchWriter::shutdown() {\n    if (writer_.isOpened()) {\n        writer_.release();\n    }\n    state_ = IDLE;\n\n    if (!current_path_.empty()) {\n        std::string src = current_path_;\n        std::string dst = output_dir_ + \"/\" +\n            std::filesystem::path(current_path_).filename().string();\n        current_path_.clear();\n\n        pid_t pid = fork();\n        if (pid == 0) {\n            close(STDIN_FILENO);\n            close(STDOUT_FILENO);\n            close(STDERR_FILENO);\n            copy_and_clean(src, dst);\n            _exit(0);\n        }\n    }\n}\n"
+            },
+            "output": "Wrote file successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "filepath": "/opt/bytetrack-counter-cpp/src/video_writer.cpp",
+              "exists": true,
+              "truncated": false
+            },
+            "title": "src/video_writer.cpp",
+            "time": {
+              "start": 1785286569966,
+              "end": 1785286569981
+            }
+          },
+          "id": "prt_fab5f00ca001zrSQPwVWKf8kX9",
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+        {
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+            "output": 1448,
+            "reasoning": 5,
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+          "id": "prt_fab5f3133001wRomgylTdkvgS3",
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+          "messageID": "msg_fab5ef8cd001yvd492KX2Fd3OT"
+        },
+        {
+          "type": "patch",
+          "hash": "275621a927e7677d30917fe1fee908ae3a5887c4",
+          "files": [
+            "/opt/bytetrack-counter-cpp/src/video_writer.cpp"
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+          "id": "prt_fab5f3219001sAEHIRGZuIxkv3",
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+          "messageID": "msg_fab5ef8cd001yvd492KX2Fd3OT"
+        }
+      ]
+    },
+    {
+      "info": {
+        "parentID": "msg_fab5e25cc001gMGkSe3qn3T5qU",
+        "role": "assistant",
+        "mode": "build",
+        "agent": "build",
+        "path": {
+          "cwd": "/opt/bytetrack-counter-cpp",
+          "root": "/opt/bytetrack-counter-cpp"
+        },
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+          }
+        },
+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
+        "time": {
+          "created": 1785286570558,
+          "completed": 1785286575577
+        },
+        "finish": "tool-calls",
+        "id": "msg_fab5f323e001oULGhEqV4I4TMa",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "e88e8f81e59570cbe3e9615bd1c938a07ed51013",
+          "type": "step-start",
+          "id": "prt_fab5f37e8001ur42TQwg5pzbQ2",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f323e001oULGhEqV4I4TMa"
+        },
+        {
+          "type": "reasoning",
+          "text": "Now update main.cpp:\n1. Pass `end_delay_sec` to the constructor\n2. Call `note_motion()` when motion detected\n3. Call `note_ayam_detection()` when ayam detections exist\n4. Remove the old `on_new_batch` call (no longer needed)",
+          "time": {
+            "start": 1785286572487,
+            "end": 1785286573414
+          },
+          "id": "prt_fab5f39c7001XupSWTrapMmOUk",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f323e001oULGhEqV4I4TMa"
+        },
+        {
+          "type": "text",
+          "text": "Now update `main.cpp` — hook motion + ayam detection, remove old `on_new_batch`:",
+          "time": {
+            "start": 1785286573419,
+            "end": 1785286575377
+          },
+          "id": "prt_fab5f3d6b001v3j6N50SYmjE9v",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f323e001oULGhEqV4I4TMa"
+        },
+        {
+          "type": "tool",
+          "tool": "edit",
+          "callID": "call_00_2eIHRNvfJo0MLQLUJxhm1450",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/main.cpp",
+              "newString": "        video_writer = std::make_unique<VideoBatchWriter>(\n            g_config.record_shm_dir, g_config.output_dir,\n            w, h, static_cast<int>(fps_prop),\n            g_config.record_delay_seconds,\n            g_config.record_end_delay_seconds);",
+              "oldString": "        video_writer = std::make_unique<VideoBatchWriter>(\n            g_config.record_shm_dir, g_config.output_dir,\n            w, h, static_cast<int>(fps_prop),\n            g_config.record_delay_seconds);"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -224,9 +224,10 @@\n if (g_config.record_video) {\n     video_writer = std::make_unique<VideoBatchWriter>(\n         g_config.record_shm_dir, g_config.output_dir,\n         w, h, static_cast<int>(fps_prop),\n-        g_config.record_delay_seconds);\n+        g_config.record_delay_seconds,\n+        g_config.record_end_delay_seconds);\n     auto* vw = video_writer.get();\n     store.set_batch_closed_callback([vw](int bn) { vw->on_batch_closed(bn); });\n }\n \n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/src/main.cpp",
+                "patch": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -224,9 +224,10 @@\n if (g_config.record_video) {\n     video_writer = std::make_unique<VideoBatchWriter>(\n         g_config.record_shm_dir, g_config.output_dir,\n         w, h, static_cast<int>(fps_prop),\n-        g_config.record_delay_seconds);\n+        g_config.record_delay_seconds,\n+        g_config.record_end_delay_seconds);\n     auto* vw = video_writer.get();\n     store.set_batch_closed_callback([vw](int bn) { vw->on_batch_closed(bn); });\n }\n \n",
+                "additions": 2,
+                "deletions": 1
+              },
+              "truncated": false
+            },
+            "title": "src/main.cpp",
+            "time": {
+              "start": 1785286575365,
+              "end": 1785286575371
+            }
+          },
+          "id": "prt_fab5f3eea0014FVZlbyhS9AlOI",
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+        },
+        {
+          "reason": "tool-calls",
+          "snapshot": "8aa4c3b7830d07ade8ede291a6ae49ab8d2b5424",
+          "type": "step-finish",
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+        },
+        {
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+          "hash": "e88e8f81e59570cbe3e9615bd1c938a07ed51013",
+          "files": [
+            "/opt/bytetrack-counter-cpp/src/main.cpp"
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+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
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+        }
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+    },
+    {
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+        "role": "assistant",
+        "mode": "build",
+        "agent": "build",
+        "path": {
+          "cwd": "/opt/bytetrack-counter-cpp",
+          "root": "/opt/bytetrack-counter-cpp"
+        },
+        "cost": 0.000545142,
+        "tokens": {
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+          "reasoning": 14,
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+        },
+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
+        "time": {
+          "created": 1785286575608,
+          "completed": 1785286579547
+        },
+        "finish": "tool-calls",
+        "id": "msg_fab5f45f8001FPXKZUfz5g0DvK",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "8aa4c3b7830d07ade8ede291a6ae49ab8d2b5424",
+          "type": "step-start",
+          "id": "prt_fab5f4b02001j6aPDtsX8PUlkB",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f45f8001FPXKZUfz5g0DvK"
+        },
+        {
+          "type": "reasoning",
+          "text": "Now hook note_motion. Let me find the motion detection section.",
+          "time": {
+            "start": 1785286577754,
+            "end": 1785286578351
+          },
+          "id": "prt_fab5f4e5a001dPG3UWX56tHzO8",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f45f8001FPXKZUfz5g0DvK"
+        },
+        {
+          "type": "tool",
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+              "limit": 15,
+              "offset": 267
+            },
+            "output": "<path>/opt/bytetrack-counter-cpp/src/main.cpp</path>\n<type>file</type>\n<content>\n267:             ayam_line_crossed.clear();\n268:             talenan_line_crossed.clear();\n269:             ayam_cross_flash.clear();\n270:             talenan_cross_flash.clear();\n271:             crossing_times.clear();\n272:             line_pulse = 0;\n273:             count_pulse = 0;\n274:             batch_pulse = 0;\n275:         }\n276: \n277:         bool ayam_crossed_frame = false, batch_closed_frame = false, batch_started_frame = false;\n278: \n279:         bool skip_inference = false;\n280:         if (g_config.motion_detection_enabled) {\n281:             cv::Mat gray;\n\n(Showing lines 267-281 of 567. Use offset=282 to continue.)\n</content>",
+            "metadata": {
+              "preview": "            ayam_line_crossed.clear();\n            talenan_line_crossed.clear();\n            ayam_cross_flash.clear();\n            talenan_cross_flash.clear();\n            crossing_times.clear();\n            line_pulse = 0;\n            count_pulse = 0;\n            batch_pulse = 0;\n        }\n\n        bool ayam_crossed_frame = false, batch_closed_frame = false, batch_started_frame = false;\n\n        bool skip_inference = false;\n        if (g_config.motion_detection_enabled) {\n            cv::Mat gray;",
+              "truncated": true,
+              "loaded": [],
+              "display": {
+                "type": "file",
+                "path": "/opt/bytetrack-counter-cpp/src/main.cpp",
+                "text": "            ayam_line_crossed.clear();\n            talenan_line_crossed.clear();\n            ayam_cross_flash.clear();\n            talenan_cross_flash.clear();\n            crossing_times.clear();\n            line_pulse = 0;\n            count_pulse = 0;\n            batch_pulse = 0;\n        }\n\n        bool ayam_crossed_frame = false, batch_closed_frame = false, batch_started_frame = false;\n\n        bool skip_inference = false;\n        if (g_config.motion_detection_enabled) {\n            cv::Mat gray;",
+                "lineStart": 267,
+                "lineEnd": 281,
+                "totalLines": 567,
+                "truncated": true
+              }
+            },
+            "title": "src/main.cpp",
+            "time": {
+              "start": 1785286578884,
+              "end": 1785286578982
+            }
+          },
+          "id": "prt_fab5f50b7001IocV2ONm0AuiTv",
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+          "messageID": "msg_fab5f45f8001FPXKZUfz5g0DvK"
+        },
+        {
+          "reason": "tool-calls",
+          "snapshot": "8aa4c3b7830d07ade8ede291a6ae49ab8d2b5424",
+          "type": "step-finish",
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+            "total": 121486,
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+            "reasoning": 14,
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+          },
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+        }
+      ]
+    },
+    {
+      "info": {
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+        "role": "assistant",
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+          "cwd": "/opt/bytetrack-counter-cpp",
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+        },
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+          "completed": 1785286584257
+        },
+        "finish": "tool-calls",
+        "id": "msg_fab5f5578001ImRLxdsHCE5p2X",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "8aa4c3b7830d07ade8ede291a6ae49ab8d2b5424",
+          "type": "step-start",
+          "id": "prt_fab5f5aec00122YRb3rV3WGA6b",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f5578001ImRLxdsHCE5p2X"
+        },
+        {
+          "type": "reasoning",
+          "text": "I need to call `note_motion()` when motion is detected (or always if motion detection is disabled). The best place is right after the motion detection block.\n\nFor the ayam detection, I already had `note_ayam_seen` at line 340 (now removed). I can add `note_ayam_detection` in a similar spot.\n\nAlso, I need to remove the `on_new_batch` call.",
+          "time": {
+            "start": 1785286581525,
+            "end": 1785286583398
+          },
+          "id": "prt_fab5f5d150010gAUNCzO6w0gra",
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+              "limit": 15,
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+            },
+            "output": "<path>/opt/bytetrack-counter-cpp/src/main.cpp</path>\n<type>file</type>\n<content>\n280:         if (g_config.motion_detection_enabled) {\n281:             cv::Mat gray;\n282:             cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);\n283:             if (!prev_gray.empty()) {\n284:                 cv::Mat diff;\n285:                 cv::absdiff(gray, prev_gray, diff);\n286:                 double mean_diff = cv::mean(diff)[0];\n287:                 skip_inference = (mean_diff < g_config.motion_threshold);\n288:             }\n289:             prev_gray = gray;\n290:         }\n291: \n292:         std::vector<Detection> detections;\n293:         float inf_ms = 0.0f;\n294:         if (!skip_inference) {\n\n(Showing lines 280-294 of 567. Use offset=295 to continue.)\n</content>",
+            "metadata": {
+              "preview": "        if (g_config.motion_detection_enabled) {\n            cv::Mat gray;\n            cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);\n            if (!prev_gray.empty()) {\n                cv::Mat diff;\n                cv::absdiff(gray, prev_gray, diff);\n                double mean_diff = cv::mean(diff)[0];\n                skip_inference = (mean_diff < g_config.motion_threshold);\n            }\n            prev_gray = gray;\n        }\n\n        std::vector<Detection> detections;\n        float inf_ms = 0.0f;\n        if (!skip_inference) {",
+              "truncated": true,
+              "loaded": [],
+              "display": {
+                "type": "file",
+                "path": "/opt/bytetrack-counter-cpp/src/main.cpp",
+                "text": "        if (g_config.motion_detection_enabled) {\n            cv::Mat gray;\n            cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);\n            if (!prev_gray.empty()) {\n                cv::Mat diff;\n                cv::absdiff(gray, prev_gray, diff);\n                double mean_diff = cv::mean(diff)[0];\n                skip_inference = (mean_diff < g_config.motion_threshold);\n            }\n            prev_gray = gray;\n        }\n\n        std::vector<Detection> detections;\n        float inf_ms = 0.0f;\n        if (!skip_inference) {",
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+                "totalLines": 567,
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+              }
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+            "title": "src/main.cpp",
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+          "root": "/opt/bytetrack-counter-cpp"
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+        },
+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
+        "time": {
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+          "completed": 1785286590676
+        },
+        "finish": "tool-calls",
+        "id": "msg_fab5f67f5001CsPRSOh3NeHUQf",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
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+          "snapshot": "8aa4c3b7830d07ade8ede291a6ae49ab8d2b5424",
+          "type": "step-start",
+          "id": "prt_fab5f6de10017zcoazB9Zssbzz",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f67f5001CsPRSOh3NeHUQf"
+        },
+        {
+          "type": "reasoning",
+          "text": "I'll add the note_motion call after the motion detection block. If motion detection is disabled, I'll call it every frame. If enabled, only when motion is detected.",
+          "time": {
+            "start": 1785286586424,
+            "end": 1785286587291
+          },
+          "id": "prt_fab5f7038001Kiv6UviAu8Beh2",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f67f5001CsPRSOh3NeHUQf"
+        },
+        {
+          "type": "tool",
+          "tool": "edit",
+          "callID": "call_00_2gCQRjrhDh06UL6FTtu78026",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/main.cpp",
+              "newString": "        bool skip_inference = false;\n        if (g_config.motion_detection_enabled) {\n            cv::Mat gray;\n            cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);\n            if (!prev_gray.empty()) {\n                cv::Mat diff;\n                cv::absdiff(gray, prev_gray, diff);\n                double mean_diff = cv::mean(diff)[0];\n                skip_inference = (mean_diff < g_config.motion_threshold);\n            }\n            prev_gray = gray;\n            if (!skip_inference && video_writer) video_writer->note_motion();\n        } else {\n            if (video_writer) video_writer->note_motion();\n        }",
+              "oldString": "        bool skip_inference = false;\n        if (g_config.motion_detection_enabled) {\n            cv::Mat gray;\n            cv::cvtColor(frame, gray, cv::COLOR_BGR2GRAY);\n            if (!prev_gray.empty()) {\n                cv::Mat diff;\n                cv::absdiff(gray, prev_gray, diff);\n                double mean_diff = cv::mean(diff)[0];\n                skip_inference = (mean_diff < g_config.motion_threshold);\n            }\n            prev_gray = gray;\n        }"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -286,8 +286,11 @@\n         double mean_diff = cv::mean(diff)[0];\n         skip_inference = (mean_diff < g_config.motion_threshold);\n     }\n     prev_gray = gray;\n+    if (!skip_inference && video_writer) video_writer->note_motion();\n+} else {\n+    if (video_writer) video_writer->note_motion();\n }\n \n std::vector<Detection> detections;\n float inf_ms = 0.0f;\n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/src/main.cpp",
+                "patch": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -286,8 +286,11 @@\n         double mean_diff = cv::mean(diff)[0];\n         skip_inference = (mean_diff < g_config.motion_threshold);\n     }\n     prev_gray = gray;\n+    if (!skip_inference && video_writer) video_writer->note_motion();\n+} else {\n+    if (video_writer) video_writer->note_motion();\n }\n \n std::vector<Detection> detections;\n float inf_ms = 0.0f;\n",
+                "additions": 3,
+                "deletions": 0
+              },
+              "truncated": false
+            },
+            "title": "src/main.cpp",
+            "time": {
+              "start": 1785286590054,
+              "end": 1785286590061
+            }
+          },
+          "id": "prt_fab5f73a2001nP4Ua6N539NW67",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f67f5001CsPRSOh3NeHUQf"
+        },
+        {
+          "reason": "tool-calls",
+          "snapshot": "57324e4e2d74021a715413d46f92bf6165088412",
+          "type": "step-finish",
+          "tokens": {
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+            "input": 242,
+            "output": 358,
+            "reasoning": 36,
+            "cache": {
+              "write": 0,
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+            }
+          },
+          "cost": 0.000889778,
+          "id": "prt_fab5f8055001Mnu3aT65Wwl3ds",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f67f5001CsPRSOh3NeHUQf"
+        },
+        {
+          "type": "patch",
+          "hash": "8aa4c3b7830d07ade8ede291a6ae49ab8d2b5424",
+          "files": [
+            "/opt/bytetrack-counter-cpp/src/main.cpp"
+          ],
+          "id": "prt_fab5f80ce001PX0c9ihr4RikWb",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f67f5001CsPRSOh3NeHUQf"
+        }
+      ]
+    },
+    {
+      "info": {
+        "parentID": "msg_fab5e25cc001gMGkSe3qn3T5qU",
+        "role": "assistant",
+        "mode": "build",
+        "agent": "build",
+        "path": {
+          "cwd": "/opt/bytetrack-counter-cpp",
+          "root": "/opt/bytetrack-counter-cpp"
+        },
+        "cost": 0.000687619,
+        "tokens": {
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+          "reasoning": 30,
+          "cache": {
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+            "read": 122368
+          }
+        },
+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
+        "time": {
+          "created": 1785286590707,
+          "completed": 1785286594798
+        },
+        "finish": "tool-calls",
+        "id": "msg_fab5f80f30012cWGZV48QWPQ71",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "57324e4e2d74021a715413d46f92bf6165088412",
+          "type": "step-start",
+          "id": "prt_fab5f86ab00174gQ2wmKva26z8",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f80f30012cWGZV48QWPQ71"
+        },
+        {
+          "type": "reasoning",
+          "text": "Now add note_ayam_detection where ayam detections exist (na > 0), and remove the on_new_batch call.",
+          "time": {
+            "start": 1785286592622,
+            "end": 1785286593259
+          },
+          "id": "prt_fab5f886d001s7eNjdtkVI8ke7",
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+          "messageID": "msg_fab5f80f30012cWGZV48QWPQ71"
+        },
+        {
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+          "tool": "edit",
+          "callID": "call_00_1aaqhIgfs4hP0GyfqlvJ6079",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/main.cpp",
+              "newString": "            // Apply NMS per-class to suppress duplicate boxes\n            if (na > 0) {\n                if (video_writer) video_writer->note_ayam_detection();\n                auto keep = nms(ayam_mat, ayam_scores_vec);",
+              "oldString": "            // Apply NMS per-class to suppress duplicate boxes\n            if (na > 0) {\n                auto keep = nms(ayam_mat, ayam_scores_vec);"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -342,8 +342,9 @@\n }\n \n // Apply NMS per-class to suppress duplicate boxes\n if (na > 0) {\n+    if (video_writer) video_writer->note_ayam_detection();\n     auto keep = nms(ayam_mat, ayam_scores_vec);\n     int nk = static_cast<int>(keep.size());\n     Eigen::MatrixXf fm(nk, 4);\n     Eigen::VectorXf fs(nk);\n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/src/main.cpp",
+                "patch": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -342,8 +342,9 @@\n }\n \n // Apply NMS per-class to suppress duplicate boxes\n if (na > 0) {\n+    if (video_writer) video_writer->note_ayam_detection();\n     auto keep = nms(ayam_mat, ayam_scores_vec);\n     int nk = static_cast<int>(keep.size());\n     Eigen::MatrixXf fm(nk, 4);\n     Eigen::VectorXf fs(nk);\n",
+                "additions": 1,
+                "deletions": 0
+              },
+              "truncated": false
+            },
+            "title": "src/main.cpp",
+            "time": {
+              "start": 1785286594562,
+              "end": 1785286594569
+            }
+          },
+          "id": "prt_fab5f8aef001RThGLGeY09RuqL",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
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+          "messageID": "msg_fab5f80f30012cWGZV48QWPQ71"
+        },
+        {
+          "type": "patch",
+          "hash": "57324e4e2d74021a715413d46f92bf6165088412",
+          "files": [
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+          "id": "prt_fab5f90e9001esfNSmrjquyUT9",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f80f30012cWGZV48QWPQ71"
+        }
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+    },
+    {
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+        "agent": "build",
+        "path": {
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+          "root": "/opt/bytetrack-counter-cpp"
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+        "modelID": "deepseek-v4-pro",
+        "providerID": "deepseek",
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+        "finish": "tool-calls",
+        "id": "msg_fab5f910a001KX0BsWQu0km6PN",
+        "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3"
+      },
+      "parts": [
+        {
+          "snapshot": "441e73988c794774c7567ebe2423b58c53ba2266",
+          "type": "step-start",
+          "id": "prt_fab5f95f0001KXxOXURAPwAmyk",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f910a001KX0BsWQu0km6PN"
+        },
+        {
+          "type": "reasoning",
+          "text": "Now remove the old `on_new_batch` call.",
+          "time": {
+            "start": 1785286596557,
+            "end": 1785286596962
+          },
+          "id": "prt_fab5f97cd001dWmOtFhTTGROEZ",
+          "sessionID": "ses_0c3efadf0ffeP4HreoRuvKX5h3",
+          "messageID": "msg_fab5f910a001KX0BsWQu0km6PN"
+        },
+        {
+          "type": "tool",
+          "tool": "edit",
+          "callID": "call_00_LFuDXGT5qf6zjwZ3qapS0047",
+          "state": {
+            "status": "completed",
+            "input": {
+              "filePath": "/opt/bytetrack-counter-cpp/src/main.cpp",
+              "newString": "                        ayam_crossed_frame = true;\n                        if (started_new) batch_started_frame = true;",
+              "oldString": "                        ayam_crossed_frame = true;\n                        if (started_new) {\n                            batch_started_frame = true;\n                            if (video_writer) video_writer->on_new_batch(store.current_batch_number());\n                        }"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -444,12 +444,9 @@\n         tid_str.str()\n     });\n }\n ayam_crossed_frame = true;\n-if (started_new) {\n-    batch_started_frame = true;\n-    if (video_writer) video_writer->on_new_batch(store.current_batch_number());\n-}\n+if (started_new) batch_started_frame = true;\n crossing_times.push_back(mono);\n ayam_cross_flash[tid] = g_config.cross_flash_frames;\n popups.push_back({\n     static_cast<int>(cx) - 12,\n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/src/main.cpp",
+                "patch": "Index: /opt/bytetrack-counter-cpp/src/main.cpp\n===================================================================\n--- /opt/bytetrack-counter-cpp/src/main.cpp\n+++ /opt/bytetrack-counter-cpp/src/main.cpp\n@@ -444,12 +444,9 @@\n         tid_str.str()\n     });\n }\n ayam_crossed_frame = true;\n-if (started_new) {\n-    batch_started_frame = true;\n-    if (video_writer) video_writer->on_new_batch(store.current_batch_number());\n-}\n+if (started_new) batch_started_frame = true;\n crossing_times.push_back(mono);\n ayam_cross_flash[tid] = g_config.cross_flash_frames;\n popups.push_back({\n     static_cast<int>(cx) - 12,\n",
+                "additions": 1,
+                "deletions": 4
+              },
+              "truncated": false
+            },
+            "title": "src/main.cpp",
+            "time": {
+              "start": 1785286598093,
+              "end": 1785286598099
+            }
+          },
+          "id": "prt_fab5f9966001Y0i5uAssUsEnxp",
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+        },
+        {
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+        }
+      ]
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+          "messageID": "msg_fab5f9f14001FpMmEGQU721gnR"
+        },
+        {
+          "type": "reasoning",
+          "text": "Build and test.",
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+            "start": 1785286600684,
+            "end": 1785286601124
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+          "id": "prt_fab5fa7ec001FSMouEQ6tHX6cA",
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+          "messageID": "msg_fab5f9f14001FpMmEGQU721gnR"
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+              "newString": "# Delay in seconds after batch starts before recording begins (every batch)\nRECORD_DELAY_SECONDS=10\n# Extra seconds to keep recording after batch end signal before stopping\nRECORD_END_DELAY=1\n# Shared memory directory for recording (fast write, moved to OUTPUT_DIR on close)",
+              "oldString": "# Delay in seconds after batch starts before recording begins (every batch)\nRECORD_DELAY_SECONDS=10\n# Shared memory directory for recording (fast write, moved to OUTPUT_DIR on close)"
+            },
+            "output": "Edit applied successfully.",
+            "metadata": {
+              "diagnostics": {},
+              "diff": "Index: /opt/bytetrack-counter-cpp/config.env.example\n===================================================================\n--- /opt/bytetrack-counter-cpp/config.env.example\n+++ /opt/bytetrack-counter-cpp/config.env.example\n@@ -137,8 +137,10 @@\n # Output video FPS (fallback if source FPS is unknown or ≤ 1)\n OUTPUT_FPS=15\n # Delay in seconds after batch starts before recording begins (every batch)\n RECORD_DELAY_SECONDS=10\n+# Extra seconds to keep recording after batch end signal before stopping\n+RECORD_END_DELAY=1\n # Shared memory directory for recording (fast write, moved to OUTPUT_DIR on close)\n RECORD_SHM_DIR=/dev/shm/bytetrack-counter\n \n # --- Live stream snapshot ---\n",
+              "filediff": {
+                "file": "/opt/bytetrack-counter-cpp/config.env.example",
+                "patch": "Index: /opt/bytetrack-counter-cpp/config.env.example\n===================================================================\n--- /opt/bytetrack-counter-cpp/config.env.example\n+++ /opt/bytetrack-counter-cpp/config.env.example\n@@ -137,8 +137,10 @@\n # Output video FPS (fallback if source FPS is unknown or ≤ 1)\n OUTPUT_FPS=15\n # Delay in seconds after batch starts before recording begins (every batch)\n RECORD_DELAY_SECONDS=10\n+# Extra seconds to keep recording after batch end signal before stopping\n+RECORD_END_DELAY=1\n # Shared memory directory for recording (fast write, moved to OUTPUT_DIR on close)\n RECORD_SHM_DIR=/dev/shm/bytetrack-counter\n \n # --- Live stream snapshot ---\n",
+                "additions": 2,
+                "deletions": 0
+              },
+              "truncated": false
+            },
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diff --git a/config.env.example b/config.env.example
index d41a16d..21a1fa4 100644
--- a/config.env.example
+++ b/config.env.example
@@ -138,6 +138,8 @@ RECORD_VIDEO=false
 OUTPUT_FPS=15
 # Delay in seconds after batch starts before recording begins (every batch)
 RECORD_DELAY_SECONDS=10
+# Extra seconds to keep recording after batch end signal before stopping
+RECORD_END_DELAY=1
 # Shared memory directory for recording (fast write, moved to OUTPUT_DIR on close)
 RECORD_SHM_DIR=/dev/shm/bytetrack-counter
 
diff --git a/src/config.cpp b/src/config.cpp
index b65aac3..92c4c2d 100644
--- a/src/config.cpp
+++ b/src/config.cpp
@@ -142,6 +142,8 @@ void AppConfig::load_from_env(const char* env_path) {
     if (!ofps_s.empty()) output_fps = std::stoi(ofps_s);
     auto rds_s = get_env("RECORD_DELAY_SECONDS");
     if (!rds_s.empty()) record_delay_seconds = std::stof(rds_s);
+    auto reds_s = get_env("RECORD_END_DELAY");
+    if (!reds_s.empty()) record_end_delay_seconds = std::stof(reds_s);
     record_shm_dir = get_env("RECORD_SHM_DIR", record_shm_dir);
 
     auto lse_s = get_env("LIVE_STREAM_ENABLED");
diff --git a/src/config.hpp b/src/config.hpp
index f1dae8c..95053fd 100644
--- a/src/config.hpp
+++ b/src/config.hpp
@@ -62,6 +62,7 @@ struct AppConfig {
     int video_segment_sec = 3600;
     int output_fps = 15;
     float record_delay_seconds = 10.0f;
+    float record_end_delay_seconds = 1.0f;
     std::string record_shm_dir = "/dev/shm/bytetrack-counter";
 
     bool live_stream_enabled = false;
diff --git a/src/main.cpp b/src/main.cpp
index b2dc10d..a7b02e1 100644
--- a/src/main.cpp
+++ b/src/main.cpp
@@ -225,7 +225,8 @@ int main(int argc, char* argv[]) {
         video_writer = std::make_unique<VideoBatchWriter>(
             g_config.record_shm_dir, g_config.output_dir,
             w, h, static_cast<int>(fps_prop),
-            g_config.record_delay_seconds);
+            g_config.record_delay_seconds,
+            g_config.record_end_delay_seconds);
         auto* vw = video_writer.get();
         store.set_batch_closed_callback([vw](int bn) { vw->on_batch_closed(bn); });
     }
@@ -286,6 +287,9 @@ int main(int argc, char* argv[]) {
                 skip_inference = (mean_diff < g_config.motion_threshold);
             }
             prev_gray = gray;
+            if (!skip_inference && video_writer) video_writer->note_motion();
+        } else {
+            if (video_writer) video_writer->note_motion();
         }
 
         std::vector<Detection> detections;
@@ -339,6 +343,7 @@ int main(int argc, char* argv[]) {
 
             // Apply NMS per-class to suppress duplicate boxes
             if (na > 0) {
+                if (video_writer) video_writer->note_ayam_detection();
                 auto keep = nms(ayam_mat, ayam_scores_vec);
                 int nk = static_cast<int>(keep.size());
                 Eigen::MatrixXf fm(nk, 4);
@@ -440,10 +445,7 @@ int main(int argc, char* argv[]) {
                             });
                         }
                         ayam_crossed_frame = true;
-                        if (started_new) {
-                            batch_started_frame = true;
-                            if (video_writer) video_writer->on_new_batch(store.current_batch_number());
-                        }
+                        if (started_new) batch_started_frame = true;
                         crossing_times.push_back(mono);
                         ayam_cross_flash[tid] = g_config.cross_flash_frames;
                         popups.push_back({
diff --git a/src/video_writer.cpp b/src/video_writer.cpp
index 6e76045..31bd948 100644
--- a/src/video_writer.cpp
+++ b/src/video_writer.cpp
@@ -11,9 +11,11 @@
 VideoBatchWriter::VideoBatchWriter(const std::string& shm_dir,
                                    const std::string& output_dir,
                                    int w, int h, int fps,
-                                   float delay_sec)
+                                   float delay_sec,
+                                   float end_delay_sec)
     : shm_dir_(shm_dir), output_dir_(output_dir),
-      w_(w), h_(h), fps_(fps), delay_sec_(delay_sec)
+      w_(w), h_(h), fps_(fps),
+      delay_sec_(delay_sec), end_delay_sec_(end_delay_sec)
 {
     ensure_dir(shm_dir_);
     ensure_dir(output_dir_);
@@ -33,51 +35,69 @@ void VideoBatchWriter::ensure_dir(const std::string& dir) {
     std::filesystem::create_directories(dir);
 }
 
-void VideoBatchWriter::on_new_batch(int batch_number) {
-    current_batch_ = batch_number;
-    delaying_ = true;
-    delay_start_ = std::chrono::steady_clock::now();
+void VideoBatchWriter::note_motion() {
+    if (state_ == IDLE) {
+        start_recording();
+        state_ = SPECULATING;
+        state_start_ = std::chrono::steady_clock::now();
+    }
+}
+
+void VideoBatchWriter::note_ayam_detection() {
+    if (state_ == SPECULATING) {
+        state_ = CONFIRMED;
+    }
 }
 
 void VideoBatchWriter::on_batch_closed(int batch_number) {
-    if (recording_ && current_batch_ == batch_number) {
-        stop_and_move(batch_number);
+    current_batch_ = batch_number;
+    if (state_ == CONFIRMED) {
+        state_ = STOPPING;
+        state_start_ = std::chrono::steady_clock::now();
     }
-    delaying_ = false;
-    recording_ = false;
-    current_batch_ = 0;
 }
 
 void VideoBatchWriter::feed_frame(const cv::Mat& raw) {
-    if (delaying_) {
-        auto elapsed = std::chrono::duration<float>(
-            std::chrono::steady_clock::now() - delay_start_).count();
+    auto now = std::chrono::steady_clock::now();
+
+    if (state_ == SPECULATING) {
+        float elapsed = std::chrono::duration<float>(now - state_start_).count();
         if (elapsed >= delay_sec_) {
-            delaying_ = false;
-            start_recording(current_batch_);
+            stop_and_delete();
+            state_ = IDLE;
+            return;
         }
     }
-    if (recording_ && writer_.isOpened()) {
+
+    if (state_ == STOPPING) {
+        float elapsed = std::chrono::duration<float>(now - state_start_).count();
+        if (elapsed >= end_delay_sec_) {
+            stop_and_move(current_batch_);
+            state_ = IDLE;
+            return;
+        }
+    }
+
+    if (state_ != IDLE && writer_.isOpened()) {
         writer_.write(raw);
     }
 }
 
-void VideoBatchWriter::start_recording(int batch_number) {
+void VideoBatchWriter::start_recording() {
     if (writer_.isOpened()) writer_.release();
 
     auto t = std::chrono::system_clock::to_time_t(std::chrono::system_clock::now());
     std::ostringstream name;
-    name << "batch_" << batch_number << "_"
+    name << "batch_pending_"
          << std::put_time(std::localtime(&t), "%Y%m%d_%H%M%S") << ".mp4";
     current_path_ = shm_dir_ + "/" + name.str();
 
     writer_.open(current_path_,
                  cv::VideoWriter::fourcc('a','v','c','1'),
                  fps_, cv::Size(w_, h_));
-    recording_ = writer_.isOpened();
 
-    if (recording_) {
-        std::cout << "[RECORD] Started: " << current_path_ << std::endl;
+    if (writer_.isOpened()) {
+        std::cout << "[RECORD] Speculating: " << current_path_ << std::endl;
     } else {
         std::cerr << "[RECORD] Failed to open: " << current_path_ << std::endl;
     }
@@ -97,6 +117,18 @@ static void copy_and_clean(const std::string& src, const std::string& dst) {
     std::filesystem::remove(src, ec);
 }
 
+void VideoBatchWriter::stop_and_delete() {
+    if (writer_.isOpened()) {
+        writer_.release();
+    }
+    if (!current_path_.empty()) {
+        std::cout << "[RECORD] Discarding: " << current_path_ << std::endl;
+        std::error_code ec;
+        std::filesystem::remove(current_path_, ec);
+        current_path_.clear();
+    }
+}
+
 void VideoBatchWriter::stop_and_move(int batch_number) {
     if (writer_.isOpened()) {
         writer_.release();
@@ -126,8 +158,7 @@ void VideoBatchWriter::shutdown() {
     if (writer_.isOpened()) {
         writer_.release();
     }
-    recording_ = false;
-    delaying_ = false;
+    state_ = IDLE;
 
     if (!current_path_.empty()) {
         std::string src = current_path_;
diff --git a/src/video_writer.hpp b/src/video_writer.hpp
index 608fc46..244d4fd 100644
--- a/src/video_writer.hpp
+++ b/src/video_writer.hpp
@@ -8,28 +8,33 @@ public:
     VideoBatchWriter(const std::string& shm_dir,
                      const std::string& output_dir,
                      int w, int h, int fps,
-                     float delay_sec);
+                     float delay_sec,
+                     float end_delay_sec);
 
     ~VideoBatchWriter();
 
-    void on_new_batch(int batch_number);
+    void note_motion();
+    void note_ayam_detection();
     void on_batch_closed(int batch_number);
     void feed_frame(const cv::Mat& raw);
     void shutdown();
 
 private:
-    void start_recording(int batch_number);
+    void start_recording();
+    void stop_and_delete();
     void stop_and_move(int batch_number);
     void ensure_dir(const std::string& dir);
 
+    enum State { IDLE, SPECULATING, CONFIRMED, STOPPING };
+
     std::string shm_dir_;
     std::string output_dir_;
     int w_, h_, fps_;
     float delay_sec_;
+    float end_delay_sec_;
 
-    bool delaying_ = false;
-    bool recording_ = false;
-    std::chrono::steady_clock::time_point delay_start_;
+    State state_ = IDLE;
+    std::chrono::steady_clock::time_point state_start_;
     cv::VideoWriter writer_;
     std::string current_path_;
     int current_batch_ = 0;