Fix GPU visibility, update depth scale, and improve radar display timing

LaserPerception/LaserPerception.js

@@ -5,7 +5,7 @@
    - Tab 3: trade-space console
    ========================= */
 
-   (() => {
+(() => {
     const API_CONFIG = window.API_CONFIG || {};
     const BACKEND_BASE = (() => {
         const raw = (API_CONFIG.BACKEND_BASE || API_CONFIG.BASE_URL || "").trim();
@@ -1039,7 +1039,7 @@
                             clearInterval(state.hf.asyncPollInterval);
                             // Clear job ID to prevent cancel attempts after completion
                             state.hf.asyncJobId = null;
-        setHfStatus("ready");
+                            setHfStatus("ready");
                             resolve();
                         } catch (err) {
                             if (err && err.code === "VIDEO_PENDING") {
@@ -2028,6 +2028,10 @@
             setStatus("good", "READY · Reason complete (you can Engage)");
             log("Reason complete.", "g");
 
+            // Pre-seed tracks for Tab 2 so radar shows targets immediately
+            seedTracksFromTab1();
+            renderRadar();
+
             // Generate intel summary (async)
             computeIntelSummary();
         } catch (err) {

app.py

@@ -244,7 +244,7 @@ async def detect_endpoint(
             query_list,
             detector_name=detector_name,
             depth_estimator_name="depth",  # Synch endpoint default
-            depth_scale=100.0,
+            depth_scale=25.0,
         )
     except ValueError as exc:
         logging.exception("Video processing failed.")
@@ -278,7 +278,7 @@ async def detect_async_endpoint(
     detector: str = Form("hf_yolov8"),
     segmenter: str = Form("sam3"),
     depth_estimator: str = Form("depth"),
-    depth_scale: float = Form(100.0),
+    depth_scale: float = Form(25.0),
 ):
     if mode not in VALID_MODES:
         raise HTTPException(

inference.py

@@ -173,7 +173,7 @@ def _build_detection_records(
 
 _MODEL_LOCKS: Dict[str, RLock] = {}
 _MODEL_LOCKS_GUARD = RLock()
-_DEPTH_SCALE = float(os.getenv("DEPTH_SCALE", "100.0"))
+_DEPTH_SCALE = float(os.getenv("DEPTH_SCALE", "25.0"))
 
 
 def _get_model_lock(kind: str, name: str) -> RLock:
@@ -438,6 +438,11 @@ def run_inference(
     logging.info("Using detector: %s", active_detector)
 
     # Detect GPUs
+    # Debug/Fix: Ensure internal restrictions don't hide GPUs
+    if "CUDA_VISIBLE_DEVICES" in os.environ:
+        logging.warning("Found CUDA_VISIBLE_DEVICES=%s in run_inference! Unsetting it.", os.environ["CUDA_VISIBLE_DEVICES"])
+        del os.environ["CUDA_VISIBLE_DEVICES"]
+
     num_gpus = torch.cuda.device_count()
     detectors = None
     depth_estimators = None