v1.4: sparse3 no-hflip-tile lat-trimmed

miner.py

@@ -1,4 +1,4 @@
-"""Plate-detection miner — v1.3 "sparse conditional tile-aug".
+"""Plate-detection miner — v1.4 "sparse tile, no flip — lat-trimmed".
 
 Base weights: alfred8995/arabic002 (YOLO26s @ 1280, fp16, ~19 MB).
 
@@ -101,12 +101,13 @@ class Miner:
         self.sigma = 0.5
         self.max_det = 18
 
-        # Conditional tile-pass
-        self.sparse_threshold = 5       # fire tiles only if primary returns < this
+        # Conditional tile-pass (trimmed for latency: no hflip, tighter sparse)
+        self.sparse_threshold = 3       # fire tiles only if primary returns < this
         self.tile_conf = 0.40
         self.tile_overlap = 0.20
         self.novelty_iou = 0.10
         self.final_max_det = 22
+        self.tile_use_hflip = False     # skip hflip tile pass to save ~4 forwards
 
         self.use_tta = True
 
@@ -314,24 +315,25 @@ class Miner:
                 d[:, 3] += y1
                 collected.append(d)
 
-        # hflip tile pass
-        flipped = cv2.flip(image, 1)
-        for x1, y1, x2, y2 in tiles:
-            fx1 = ow - x2
-            fx2 = ow - x1
-            if fx2 <= fx1:
-                continue
-            crop = flipped[y1:y2, fx1:fx2]
-            if crop.size == 0:
-                continue
-            d = self._raw_dets(crop, self.tile_conf)
-            if len(d):
-                d_un = d.copy()
-                d_un[:, 0] = (ow - (d[:, 2] + fx1))
-                d_un[:, 2] = (ow - (d[:, 0] + fx1))
-                d_un[:, 1] = d[:, 1] + y1
-                d_un[:, 3] = d[:, 3] + y1
-                collected.append(d_un)
+        # hflip tile pass (skipped when tile_use_hflip=False — saves 4 ONNX forwards)
+        if self.tile_use_hflip:
+            flipped = cv2.flip(image, 1)
+            for x1, y1, x2, y2 in tiles:
+                fx1 = ow - x2
+                fx2 = ow - x1
+                if fx2 <= fx1:
+                    continue
+                crop = flipped[y1:y2, fx1:fx2]
+                if crop.size == 0:
+                    continue
+                d = self._raw_dets(crop, self.tile_conf)
+                if len(d):
+                    d_un = d.copy()
+                    d_un[:, 0] = (ow - (d[:, 2] + fx1))
+                    d_un[:, 2] = (ow - (d[:, 0] + fx1))
+                    d_un[:, 1] = d[:, 1] + y1
+                    d_un[:, 3] = d[:, 3] + y1
+                    collected.append(d_un)
 
         if not collected:
             return primary