v2.0: hermestech weights + tile s<3 + include 3090/4090

chute_config.yml

@@ -8,7 +8,7 @@ Image:
 NodeSelector:
   gpu_count: 1
   min_vram_gb_per_gpu: 16
-  include:
+  include_gpu_type:
     - "3090"
     - "4090"
 

miner.py

@@ -1,16 +1,12 @@
-"""Plate-detection miner — v1.4 "sparse tile, no flip — lat-trimmed".
+"""Plate-detection miner — v2.0 "hermestech + tile s<3".
 
-Base weights: alfred8995/arabic002 (YOLO26s @ 1280, fp16, ~19 MB).
+Base weights: hermestech00/numberplate0 (YOLO26s retrained, fp16, ~19 MB).
 
 Inference pipeline:
-  1) Full-image primary pass with arabic002's strict tuning
-     (conf=0.27, iou=0.444, sigma=0.5, soft-NMS + hflip TTA, max_det=18).
-  2) If the primary returned fewer than SPARSE_THRESHOLD (5) boxes,
-     run a 2x2 overlapping tile pass with higher conf (tile_conf=0.40)
-     and novelty-merge: keep a tile box only when it does not overlap
-     any primary box at IoU >= 0.10. Tile augmentation is skipped
-     entirely on challenges where the primary already has enough
-     detections, so the FP score stays intact on dense scenes.
+  1) Full-image primary pass with alfred001 tuning
+     (conf=0.22, iou=0.41, sigma=0.685, soft-NMS + hflip TTA).
+  2) If the primary returned fewer than 3 boxes, run a 2x2
+     overlapping tile pass (tile_conf=0.40) with novelty-merge.
 """
 from pathlib import Path
 import math
@@ -95,11 +91,11 @@ class Miner:
         self.input_height = self._safe_dim(self.input_shape[2], default=SIZE)
         self.input_width = self._safe_dim(self.input_shape[3], default=SIZE)
 
-        # Primary pass: arabic002 strict tuning
-        self.conf_thres = 0.27
-        self.iou_thres = 0.444
-        self.sigma = 0.5
-        self.max_det = 18
+        # Primary pass: alfred001 tuning (optimized for hermestech weights)
+        self.conf_thres = 0.22
+        self.iou_thres = 0.41
+        self.sigma = 0.685
+        self.max_det = 300
 
         # Conditional tile-pass (trimmed for latency: no hflip, tighter sparse)
         self.sparse_threshold = 3       # fire tiles only if primary returns < this

weights.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:85a9c463abc53cffa7e5607ab1a4ba5e7d60106fee911644e6aec238d436963e
-size 19388678
+oid sha256:ac86065b9d2b73ee302124f3fdaae9144d09d756ab8290900146e98375bba724
+size 19892467

weights_alfred_backup.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85a9c463abc53cffa7e5607ab1a4ba5e7d60106fee911644e6aec238d436963e
+size 19388678