perf(unraid): fall back to official RTMDet-tiny

servers/unraid/tail2-pose-server/app/tail2/main.py

@@ -111,7 +111,7 @@ def capabilities():
                       "source_ip": os.environ["NDI_SOURCE_IP"], "nominal_width": config["nominal_width"],
                       "nominal_height": config["nominal_height"], "coordinate_space": config["coordinate_space"],
                       "horizontal_flip_applied": False, "rotation_deg": 0},
-            "detector": {"name": "rtmdet-m-person", "framework": "mmdetection", "config": models.det_config,
+            "detector": {"name": os.getenv("DETECTOR_NAME", "rtmdet-m-person"), "framework": "mmdetection", "config": models.det_config,
                          "checkpoint": models.det_checkpoint, "checkpoint_sha256": models.sha256(models.det_checkpoint),
                          "person_class_id": 0, "score_threshold": float(os.getenv("DETECTION_THRESHOLD", ".35")),
                          "nms_iou_threshold": float(os.getenv("NMS_IOU_THRESHOLD", ".60"))},

servers/unraid/tail2-pose-server/app/tail2/offline_benchmark.py

@@ -18,7 +18,7 @@ def percentile(values: list[float], p: float) -> float:
 
 
 def run_offline_benchmark(models, threshold: float, max_people: int) -> None:
-    path = "/logs/offline-benchmark.json"
+    path = "/logs/offline-benchmark-" + os.getenv("DETECTOR_NAME", "unknown") + ".json"
     if os.path.exists(path):
         return
     try:
@@ -48,4 +48,3 @@ def run_offline_benchmark(models, threshold: float, max_people: int) -> None:
         with open(path, "w", encoding="utf-8") as fh:
             json.dump({"error": f"{type(exc).__name__}: {str(exc)[:240]}", "source_url": DEMO_URL,
                        "image_retained": False}, fh, indent=2)
-

servers/unraid/tail2-pose-server/app/tail2/soak.py

@@ -1,5 +1,6 @@
 import json
 import pathlib
+import os
 import statistics
 import time
 import urllib.request
@@ -37,5 +38,4 @@ report = {"duration_seconds": round(time.time()-started, 3), "messages": len(fra
           "max_gpu_memory_used_mb": max((x["gpu"]["memory_used_mb"] for x in health_samples), default=None),
           "max_gpu_temperature_c": max((x["gpu"]["temperature_c"] for x in health_samples), default=None),
           "frames_or_crops_saved": False}
-pathlib.Path("/validation/soak-10m.json").write_text(json.dumps(report, indent=2))
-
+pathlib.Path(f"/validation/soak-{os.getenv('DETECTOR_NAME', 'unknown')}-10m.json").write_text(json.dumps(report, indent=2))