feat(detrpose): expose model size as CLI flag

DETRPose ships in three sizes (n/s/l); previously switching required
editing the DEFAULT_MODEL_SIZE constant in source. Add _VALID_SIZES and
_configure_model_size() to DETRPoseWorker for validated size selection,
and wire --detrpose-model-size into the argparse CLI in main.py.

data_only_viz/detrpose.py

@@ -72,6 +72,7 @@ CACHE_DIR = Path.home() / ".cache" / "av-live-detrpose"
 REPO_DIR = CACHE_DIR / "DETRPose"
 # Modele N (nano) par defaut : 16 MB, le plus rapide.
 DEFAULT_MODEL_SIZE = "n"
+_VALID_SIZES = {"n", "s", "l"}
 DEFAULT_CKPT = CACHE_DIR / f"detrpose_hgnetv2_{DEFAULT_MODEL_SIZE}.pth"
 DEFAULT_CONFIG_REL = f"configs/detrpose/detrpose_hgnetv2_{DEFAULT_MODEL_SIZE}.py"
 
@@ -124,7 +125,7 @@ class DETRPoseWorker:
         self.period = 1.0 / max(1.0, target_fps)
         self.num_persons = num_persons
         self.score_thresh = score_thresh
-        self.model_size = model_size
+        self._configure_model_size(model_size)
         self.device_pref = device
         self._stop = threading.Event()
         self._thread: threading.Thread | None = None
@@ -137,6 +138,14 @@ class DETRPoseWorker:
     def stop(self) -> None:
         self._stop.set()
 
+    def _configure_model_size(self, size: str) -> None:
+        """Validate and set model_size; raise ValueError for unknown sizes."""
+        if size not in _VALID_SIZES:
+            raise ValueError(
+                f"DETRPose model_size must be one of {sorted(_VALID_SIZES)}, got {size!r}"
+            )
+        self.model_size = size
+
     # ------------------------------------------------------------------
     # Chargement modele : on importe le repo DETRPose en ajoutant son
     # dossier au sys.path, puis on suit le pattern de tools/inference/torch_inf.py.

data_only_viz/main.py

@@ -297,7 +297,8 @@ class AppDelegate(NSObject):
                 from .detrpose import DETRPoseWorker, is_available
                 if is_available():
                     self._pose_worker = DETRPoseWorker(
-                        self._state, num_persons=4)
+                        self._state, num_persons=4,
+                        model_size=getattr(self._opts, "detrpose_model_size", "n"))
                     self._pose_worker.start()
                     LOG.info("worker: DETRPose (transformer, body 17 kp × 4)")
                     return
@@ -495,6 +496,10 @@ def main() -> int:
     p.add_argument("--pose-device", default="mps",
                    choices=("cpu", "mps", "cuda:0"),
                    help="Device YOLO inference (default mps)")
+    p.add_argument("--detrpose-model-size",
+                   choices=["n", "s", "l"],
+                   default="n",
+                   help="DETRPose model size (default: n)")
     p.add_argument("-v", "--verbose", action="store_true")
     opts = p.parse_args()
 

data_only_viz/tests/test_detrpose_cli.py

@@ -0,0 +1,24 @@
+"""DETRPose model size flows from CLI through to the worker."""
+
+import pytest
+
+from data_only_viz.detrpose import DETRPoseWorker, DEFAULT_MODEL_SIZE
+
+
+def test_default_model_size_unchanged():
+    assert DEFAULT_MODEL_SIZE == "n"
+
+
+def test_worker_accepts_model_size_kwarg():
+    # Should not raise; we don't load the model (that requires the extra)
+    worker = DETRPoseWorker.__new__(DETRPoseWorker)
+    worker.model_size = None
+    worker._configure_model_size("s")
+    assert worker.model_size == "s"
+
+
+def test_worker_rejects_invalid_model_size():
+    worker = DETRPoseWorker.__new__(DETRPoseWorker)
+    worker.model_size = None
+    with pytest.raises(ValueError):
+        worker._configure_model_size("xxxl")