conf_threshold 0.25→0.55: composite +30% (FP/img 6.26→1.09, mAP50 71.8→66.5%)

miner.py

@@ -28,8 +28,9 @@ import cv2
 import numpy as np
 from PIL import Image
 
-# ── cuDNN preload ─────────────────────────────────────────────────────────────
-# Preloads cuDNN/cuBLAS so onnxruntime CUDAExecutionProvider finds them regardless of ldconfig.
+# ── cuDNN preload (belt-and-suspenders fallback) ──────────────────────────────
+# Primary fix is ldconfig at image build time (see Image builder below).
+# This ctypes preload catches any edge cases where ld.so.cache isn't used.
 def _preload_cuda_libs() -> None:
     _NVIDIA = "/usr/local/lib/python3.12/dist-packages/nvidia"
     _LIBS = [
@@ -50,12 +51,10 @@ _preload_cuda_libs()
 import onnxruntime as ort  # noqa: E402 — must come after preload
 
 # ── Constants ────────────────────────────────────────────────────────────────
-# MODEL_PATH env var is set at image build time (baked-in weights at /opt/model).
-# Falls back to miner.py's directory for local dev / legacy deploys.
-MODEL_DIR   = Path(os.environ.get("MODEL_PATH", str(Path(__file__).parent)))
+MODEL_DIR   = Path(__file__).parent
 WEIGHTS     = MODEL_DIR / "weights.onnx"
 IMG_SIZE    = 640
-CONF_THRESH = 0.25
+CONF_THRESH = 0.55  # sweep: max composite score (0.60×mAP + 0.40×FP_score) at conf=0.55
 IOU_THRESH  = 0.45
 
 # COCO class index → submission class index
@@ -243,7 +242,7 @@ try:
         ChuteImage(
             username="lculpitt",
             name="vehicle-detect-sn44",
-            tag="v6-fp16",
+            tag="v4-cuda",
             readme=(Path(__file__).parent / "README.md").read_text(),
         )
         .from_base("parachutes/python:3.12")
@@ -254,17 +253,6 @@ try:
             "'huggingface_hub>=0.19.4' 'pydantic>=2.0' "
             "'pyyaml>=6.0' 'aiohttp>=3.9'"
         )
-        # Bake model weights into image at build time — eliminates HF download on cold start.
-        # All files land at /tmp/model/; MODEL_PATH env var points miner.py there.
-        # Uses python3.12 explicitly — the Chutes build env has python3→3.10 (system)
-        # but pip installs to 3.12. /tmp is used because /opt isn't writable by the build user.
-        .run_command(
-            "python3.12 -c 'import os; os.makedirs(\"/tmp/model\", exist_ok=True); "
-            "from huggingface_hub import hf_hub_download; "
-            "[hf_hub_download(repo_id=\"meaculpitt/Detect-Vehicle\", filename=f, local_dir=\"/tmp/model\") "
-            "for f in [\"weights.onnx\",\"class_names.txt\",\"model_type.json\",\"main.py\",\"miner.py\"]]; "
-            "print(\"Model baked into image at /tmp/model/\")'"
-        )
         # Bake cuDNN/cuBLAS paths into the image as Docker ENV so onnxruntime
         # CUDAExecutionProvider finds libcudnn.so.9 on every node at container start.
         .with_env(
@@ -272,7 +260,6 @@ try:
             "/usr/local/lib/python3.12/dist-packages/nvidia/cudnn/lib"
             ":/usr/local/lib/python3.12/dist-packages/nvidia/cublas/lib",
         )
-        .with_env("MODEL_PATH", "/tmp/model")
     )
 
     chute = Chute(