feat: Real-time radar directionality via track sync

app.py

@@ -438,6 +438,31 @@ async def detect_status(job_id: str):
     }
 
 
+@app.get("/detect/tracks/{job_id}/{frame_idx}")
+async def get_frame_tracks(job_id: str, frame_idx: int):
+    """Retrieve detections (with tracking info) for a specific frame."""
+    # This requires us to store detections PER FRAME in JobStorage or similar.
+    # Currently, inference.py returns 'sorted_detections' at the end.
+    # But during streaming, where is it?
+    # We can peek into the 'stream_queue' logic or we need a shared store.
+    # Ideally, inference should write to a map/db that we can read.
+    
+    # Quick fix: If job is done, we might have it. If running, it's harder absent a DB.
+    # BUT, 'stream_queue' sends frames.
+    # Let's use a global cache in memory for active jobs?
+    # See inference.py: 'all_detections_map' is local to that function.
+    
+    # BETTER APPROACH for this demo:
+    # Use a simple shared dictionary in jobs/storage.py or app.py used by inference.
+    # We will pass a callback or shared dict to run_inference.
+    
+    # For now, let's just return 404 if not implemented, but I need to implement it.
+    # I'll add a cache in app.py for active job tracks?
+    from jobs.storage import get_track_data
+    data = get_track_data(job_id, frame_idx)
+    return data or []
+
+
 @app.delete("/detect/job/{job_id}")
 async def cancel_job(job_id: str):
     """Cancel a running job."""

deployment_logs.txt

@@ -0,0 +1,398 @@
+data: {"data":"===== Application Startup at 2026-01-23 22:02:27 =====\n","timestamp":"2026-01-23T22:02:27Z"}
+
+data: {"data":"Set HF_HOME to /tmp/huggingface","timestamp":"2026-01-23T22:02:32.613Z"}
+
+data: {"data":"CUDA_VISIBLE_DEVICES not set. All GPUs should be visible.","timestamp":"2026-01-23T22:02:32.613Z"}
+
+data: {"data":"Startup Diagnostics: Torch version 2.9.1+cu128, CUDA available: True, Device count: 4","timestamp":"2026-01-23T22:02:34.118Z"}
+
+data: {"data":"WARNING ⚠️ user config directory '/home/user/.config/Ultralytics' is not writable, using '/tmp/Ultralytics'. Set YOLO_CONFIG_DIR to override.","timestamp":"2026-01-23T22:02:36.713Z"}
+
+data: {"data":"Creating new Ultralytics Settings v0.0.6 file ✅ ","timestamp":"2026-01-23T22:02:36.721Z"}
+
+data: {"data":"View Ultralytics Settings with 'yolo settings' or at '/tmp/Ultralytics/settings.json'","timestamp":"2026-01-23T22:02:36.721Z"}
+
+data: {"data":"Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.","timestamp":"2026-01-23T22:02:36.721Z"}
+
+data: {"data":"INFO:     Started server process [1]","timestamp":"2026-01-23T22:02:36.837Z"}
+
+data: {"data":"INFO:     Waiting for application startup.","timestamp":"2026-01-23T22:02:36.837Z"}
+
+data: {"data":"INFO:     Application startup complete.","timestamp":"2026-01-23T22:02:36.837Z"}
+
+data: {"data":"INFO:     Uvicorn running on http://0.0.0.0:7860 (Press CTRL+C to quit)","timestamp":"2026-01-23T22:02:36.837Z"}
+
+data: {"data":"INFO:     10.16.14.243:63556 - \"GET /?logs=container HTTP/1.1\" 307 Temporary Redirect","timestamp":"2026-01-23T22:02:38.715Z"}
+
+data: {"data":"INFO:     10.16.42.137:52271 - \"GET /?logs=container HTTP/1.1\" 307 Temporary Redirect","timestamp":"2026-01-23T22:02:38.764Z"}
+
+data: {"data":"INFO:     10.16.14.243:63556 - \"GET /laser/index.html HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:38.884Z"}
+
+data: {"data":"INFO:     10.16.14.243:63556 - \"GET /laser/js/init.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:38.978Z"}
+
+data: {"data":"INFO:     10.16.42.137:52271 - \"GET /laser/style.css HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:38.979Z"}
+
+data: {"data":"INFO:     10.16.14.243:32424 - \"GET /laser/js/core/config.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.056Z"}
+
+data: {"data":"INFO:     10.16.42.137:11947 - \"GET /laser/js/core/state.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.061Z"}
+
+data: {"data":"INFO:     10.16.42.137:38479 - \"GET /laser/js/core/utils.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.061Z"}
+
+data: {"data":"INFO:     10.16.14.243:21985 - \"GET /laser/js/core/physics.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.072Z"}
+
+data: {"data":"INFO:     10.16.42.137:61072 - \"GET /laser/js/core/video.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.073Z"}
+
+data: {"data":"INFO:     10.16.14.243:19017 - \"GET /laser/js/ui/logging.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.073Z"}
+
+data: {"data":"INFO:     10.16.42.137:8536 - \"GET /laser/js/core/hel.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.074Z"}
+
+data: {"data":"INFO:     10.16.14.243:55450 - \"GET /laser/js/ui/cards.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.075Z"}
+
+data: {"data":"INFO:     10.16.42.137:7723 - \"GET /laser/js/api/client.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.075Z"}
+
+data: {"data":"INFO:     10.16.14.243:61397 - \"GET /laser/js/ui/features.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.075Z"}
+
+data: {"data":"INFO:     10.16.14.243:47351 - \"GET /laser/js/core/tracker.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.075Z"}
+
+data: {"data":"INFO:     10.16.42.137:28176 - \"GET /laser/js/ui/overlays.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.076Z"}
+
+data: {"data":"INFO:     10.16.42.137:33696 - \"GET /laser/js/ui/radar.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.076Z"}
+
+data: {"data":"INFO:     10.16.14.243:60830 - \"GET /laser/js/main.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.076Z"}
+
+data: {"data":"INFO:     10.16.42.137:13066 - \"GET /laser/js/ui/cursor.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.077Z"}
+
+data: {"data":"INFO:     10.16.42.137:52984 - \"GET /laser/js/ui/intel.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.078Z"}
+
+data: {"data":"INFO:     10.16.14.243:33644 - \"GET /laser/js/ui/trade.js HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:02:39.080Z"}
+
+data: {"data":"INFO:root:Loading Hugging Face YOLOv8 weights spencercdz/YOLOv8m_defence/yolov8m_defence.pt onto cuda:0","timestamp":"2026-01-23T22:02:53.356Z"}
+
+data: {"data":"INFO:root:GPT Output for First Frame:","timestamp":"2026-01-23T22:03:01.919Z"}
+
+data: {"data":"{'T01': {'id': 'T01', 'distance_m': 300.0, 'direction': \"1 o'clock\", 'description': 'Helicopter in the upper right'}, 'T02': {'id': 'T02', 'distance_m': 350.0, 'direction': \"10 o'clock\", 'description': 'Helicopter in the upper left'}, 'T03': {'id': 'T03', 'distance_m': 280.0, 'direction': \"12 o'clock\", 'description': 'Helicopter in the center'}, 'T04': {'id': 'T04', 'distance_m': 320.0, 'direction': \"11 o'clock\", 'description': 'Helicopter slightly left of center'}}","timestamp":"2026-01-23T22:03:01.919Z"}
+
+data: {"data":"INFO:     10.16.14.243:35547 - \"POST /detect/async HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:01.926Z"}
+
+data: {"data":"INFO:root:Detection queries: ['person', 'car', 'truck', 'motorcycle', 'bicycle', 'bus', 'train', 'airplane']","timestamp":"2026-01-23T22:03:01.941Z"}
+
+data: {"data":"INFO:root:Detected 1 GPUs. Loading models in parallel...","timestamp":"2026-01-23T22:03:01.941Z"}
+
+data: {"data":"INFO:root:Loading Hugging Face YOLOv8 weights spencercdz/YOLOv8m_defence/yolov8m_defence.pt onto cuda:0","timestamp":"2026-01-23T22:03:01.942Z"}
+
+data: {"data":"INFO:     10.16.14.243:35547 - \"GET /detect/first-frame/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:02.031Z"}
+
+data: {"data":"INFO:root:Running GPT estimation for video start (Frame 0)...","timestamp":"2026-01-23T22:03:03.012Z"}
+
+data: {"data":"INFO:     10.16.14.243:37805 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:05.147Z"}
+
+data: {"data":"ERROR:root:Worker failed processing frame","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"Traceback (most recent call last):","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/app/inference.py\", line 1048, in flush_batch","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    queue_out.put((idx, processed, detections), timeout=1.0)","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/queue.py\", line 148, in put","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    raise Full","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"queue.Full","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"During handling of the above exception, another exception occurred:","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"Traceback (most recent call last):","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/app/inference.py\", line 1072, in worker_task","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    flush_batch()","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/app/inference.py\", line 1050, in flush_batch","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    except Full:","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"NameError: name 'Full' is not defined","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"Exception in thread Thread-4 (worker_task):","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"Traceback (most recent call last):","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/app/inference.py\", line 1048, in flush_batch","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    queue_out.put((idx, processed, detections), timeout=1.0)","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/queue.py\", line 148, in put","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    raise Full","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"queue.Full","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"During handling of the above exception, another exception occurred:","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"Traceback (most recent call last):","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/threading.py\", line 1016, in _bootstrap_inner","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    self.run()","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/usr/local/lib/python3.10/threading.py\", line 953, in run","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"    self._target(*self._args, **self._kwargs)","timestamp":"2026-01-23T22:03:05.472Z"}
+
+data: {"data":"  File \"/app/inference.py\", line 1072, in worker_task","timestamp":"2026-01-23T22:03:05.473Z"}
+
+data: {"data":"    flush_batch()","timestamp":"2026-01-23T22:03:05.473Z"}
+
+data: {"data":"  File \"/app/inference.py\", line 1050, in flush_batch","timestamp":"2026-01-23T22:03:05.473Z"}
+
+data: {"data":"    except Full:","timestamp":"2026-01-23T22:03:05.473Z"}
+
+data: {"data":"NameError: name 'Full' is not defined","timestamp":"2026-01-23T22:03:05.473Z"}
+
+data: {"data":"INFO:     10.16.14.243:37805 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:08.144Z"}
+
+data: {"data":"ERROR:root:Workers stopped unexpectedly.","timestamp":"2026-01-23T22:03:09.919Z"}
+
+data: {"data":"INFO:     10.16.14.243:37805 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:11.146Z"}
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+data: {"data":"INFO:     10.16.14.243:37805 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:14.146Z"}
+
+data: {"data":"INFO:     10.16.14.243:37805 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:17.147Z"}
+
+data: {"data":"INFO:     10.16.42.137:24819 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:20.146Z"}
+
+data: {"data":"INFO:     10.16.14.243:44429 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:23.148Z"}
+
+data: {"data":"INFO:     10.16.42.137:53311 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:26.145Z"}
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+data: {"data":"INFO:     10.16.42.137:53311 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:29.146Z"}
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+data: {"data":"INFO:     10.16.42.137:53862 - \"GET /detect/status/720717af953045d5816689f0b22bbecd HTTP/1.1\" 200 OK","timestamp":"2026-01-23T22:03:32.152Z"}
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+
+data: {"data":"INFO:     Shutting down","timestamp":"2026-01-23T22:08:55.311Z"}
+
+data: {"data":"INFO:     Waiting for application shutdown.","timestamp":"2026-01-23T22:08:55.411Z"}
+
+data: {"data":"INFO:     Application shutdown complete.","timestamp":"2026-01-23T22:08:55.412Z"}
+
+data: {"data":"INFO:     Finished server process [1]","timestamp":"2026-01-23T22:08:55.412Z"}
+

frontend/js/core/state.js

@@ -49,6 +49,7 @@ APP.core.state = {
         tracks: [],
         nextId: 1,
         lastDetTime: 0,
+        lastHFSync: 0,
         running: false,
         selectedTrackId: null,
         beamOn: false,

frontend/js/core/tracker.js

@@ -141,6 +141,64 @@ APP.core.tracker.matchAndUpdateTracks = function (dets, dtSec) {
     state.tracker.tracks = tracks.filter(tr => (tNow - tr.lastSeen) < CONFIG.TRACK_PRUNE_MS || tr.killed);
 };
 
+// Polling for backend tracks
+APP.core.tracker.syncWithBackend = async function (frameIdx) {
+    const { state } = APP.core;
+    const { $ } = APP.core.utils;
+    const jobId = state.hf.asyncJobId;
+
+    if (!jobId || !state.hf.baseUrl) return;
+
+    try {
+        const resp = await fetch(`${state.hf.baseUrl}/detect/tracks/${jobId}/${frameIdx}`);
+        if (!resp.ok) return;
+
+        const dets = await resp.json();
+        if (!dets || !Array.isArray(dets)) return;
+
+        // Transform backend format to frontend track format
+        // Backend: { bbox: [x1, y1, x2, y2], label: "car", track_id: "T01", angle_deg: 90, ... }
+        // Frontend: { id: "T01", bbox: {x,y,w,h}, label: "car", angle_deg: 90, ... }
+
+        const videoEngage = $("#videoEngage");
+        const w = videoEngage ? (videoEngage.videoWidth || state.frame.w) : state.frame.w;
+        const h = videoEngage ? (videoEngage.videoHeight || state.frame.h) : state.frame.h;
+
+        const newTracks = dets.map(d => {
+            const x = d.bbox[0], y = d.bbox[1];
+            const wBox = d.bbox[2] - d.bbox[0];
+            const hBox = d.bbox[3] - d.bbox[1];
+
+            // Normalize
+            const nx = x / w;
+            const ny = y / h;
+            const nw = wBox / w;
+            const nh = hBox / h;
+
+            return {
+                id: d.track_id || `T${Math.floor(Math.random() * 1000)}`, // Fallback
+                label: d.label,
+                bbox: { x: nx, y: ny, w: nw, h: nh },
+                score: d.score,
+                angle_deg: d.angle_deg,
+                gpt_distance_m: d.gpt_distance_m,
+                speed_kph: d.speed_kph,
+
+                // Keep UI state fields
+                lastSeen: Date.now(),
+                state: "TRACK"
+            };
+        });
+
+        // Update state
+        state.tracker.tracks = newTracks;
+        state.detections = newTracks; // Keep synced
+
+    } catch (e) {
+        console.warn("Track sync failed", e);
+    }
+};
+
 APP.core.tracker.predictTracks = function (dtSec) {
     const { state } = APP.core;
     const { $ } = APP.core.utils;

frontend/js/main.js

@@ -642,6 +642,18 @@ document.addEventListener("DOMContentLoaded", () => {
         // Update tracker when engaged
         if (state.tracker.running && videoEngage && !videoEngage.paused) {
             predictTracks(dt);
+
+            // Sync with backend every few frames (approx 5Hz)
+            if (t - state.tracker.lastHFSync > 200) {
+                // Estimate frame index
+                const fps = 30; // hardcoded for now, ideal: state.fps
+                const frameIdx = Math.floor(videoEngage.currentTime * fps);
+                // Only sync if we have a job ID
+                if (state.hf.asyncJobId) {
+                    APP.core.tracker.syncWithBackend(frameIdx);
+                }
+                state.tracker.lastHFSync = t;
+            }
         }
 
         // Render UI

frontend/js/ui/radar.js

@@ -123,10 +123,54 @@ APP.ui.radar.render = function (canvasId, trackSource) {
             if (isSelected) col = "#ffffff"; // White for selected
 
             ctx.fillStyle = col;
+            // Draw Triangle (Directional)
+            ctx.fillStyle = col;
+
+            ctx.save();
+            ctx.translate(px, py);
+
+            // Rotation:
+            // Backend angle: 0 is Right (Screen X+), 90 gets mapped to Down (Screen Y+). 
+            // Radar view: Up is Forward (Screen Y-). 
+            // We need to map screen motion to radar heading.
+            // Screen Right (0 deg) -> Radar Right (0 deg)
+            // Screen Down (90 deg) -> Radar Backwards (180 deg)?
+            // Screen Up (-90 deg) -> Radar Forwards (-90 deg)?
+
+            // Wait, radar usually maps:
+            // Top of radar = Forward. 
+            // Screen perspective: Objects moving "Down" (Y+) are coming CLOSER (Backwards relative to view).
+            // Objects moving "Up" (Y-) are moving AWAY (Forwards relative to view).
+            // So: Screen Y+ (90 deg) -> Radar Down (90 deg)
+            // Screen Y- (-90 deg) -> Radar Up (-90 deg)
+            // It actually aligns well if we consider standard canvas coordinates where Y is down.
+            // But visually on radar, "Up" (Y=0) is usually forward/away.
+
+            let rotation = 0;
+            if (det.angle_deg !== undefined) {
+                // Convert degrees to radians
+                // Adjust phase: 
+                // det.angle_deg is math angle (0=Right, 90=Down).
+                // If we want triangle to point in velocity direction:
+                // Just use the angle directly. Canvas rotation is clockwise.
+                rotation = det.angle_deg * (Math.PI / 180);
+            } else {
+                // Default (point up/forward if unknown?)
+                rotation = -Math.PI / 2;
+            }
+
+            ctx.rotate(rotation);
+
+            const size = isSelected ? 8 : 6;
             ctx.beginPath();
-            ctx.arc(px, py, isSelected ? 5 : 3.5, 0, Math.PI * 2);
+            ctx.moveTo(size, 0);       // Tip (Right, at 0 deg)
+            ctx.lineTo(-size / 2, -size / 2); // Top Left
+            ctx.lineTo(-size / 2, size / 2);  // Bottom Left
+            ctx.closePath();
             ctx.fill();
 
+            ctx.restore();
+
             // Selected UI overlays
             if (isSelected) {
                 ctx.fillStyle = "#fff";

inference.py

@@ -437,6 +437,7 @@ class SpeedEstimator:
             clock_hour = ((angle + 90) / 30 + 12) % 12
             if clock_hour == 0: clock_hour = 12.0
             det['direction_clock'] = f"{int(round(clock_hour))} o'clock"
+            det['angle_deg'] = angle # 0 is right, 90 is down (screen space)
 
 
 _MODEL_LOCKS: Dict[str, RLock] = {}
@@ -1217,6 +1218,11 @@ def run_inference(
                                 pass
 
                         all_detections_map[next_idx] = dets
+                        
+                        # Store tracks for frontend access
+                        if job_id:
+                            set_track_data(job_id, next_idx, dets)
+
                         next_idx += 1
                         
                         if next_idx % 30 == 0:

jobs/storage.py

@@ -38,11 +38,22 @@ def get_first_frame_depth_path(job_id: str) -> Path:
 class JobStorage:
     def __init__(self) -> None:
         self._jobs: Dict[str, JobInfo] = {}
+        self._tracks: Dict[str, Dict[int, list]] = {} # job_id -> {frame_idx -> tracks}
         self._lock = RLock()
 
     def create(self, job: JobInfo) -> None:
         with self._lock:
             self._jobs[job.job_id] = job
+            self._tracks[job.job_id] = {}
+
+    def set_track_data(self, job_id: str, frame_idx: int, tracks: list) -> None:
+        with self._lock:
+            if job_id in self._tracks:
+                self._tracks[job_id][frame_idx] = tracks
+
+    def get_track_data(self, job_id: str, frame_idx: int) -> list:
+        with self._lock:
+            return self._tracks.get(job_id, {}).get(frame_idx, [])
 
     def get(self, job_id: str) -> Optional[JobInfo]:
         with self._lock:
@@ -59,6 +70,7 @@ class JobStorage:
     def delete(self, job_id: str) -> None:
         with self._lock:
             self._jobs.pop(job_id, None)
+            self._tracks.pop(job_id, None)
         shutil.rmtree(get_job_directory(job_id), ignore_errors=True)
 
     def cleanup_expired(self, max_age: timedelta) -> None:
@@ -80,3 +92,9 @@ def get_job_storage() -> JobStorage:
     if _STORAGE is None:
         _STORAGE = JobStorage()
     return _STORAGE
+
+def get_track_data(job_id: str, frame_idx: int) -> list:
+    return get_job_storage().get_track_data(job_id, frame_idx)
+
+def set_track_data(job_id: str, frame_idx: int, tracks: list) -> None:
+    get_job_storage().set_track_data(job_id, frame_idx, tracks)