Fix barcode detection: reduce duplicates, restore 115mm bottom filter, remove rotations

app.py

@@ -1048,10 +1048,13 @@ def _decode_cv2_qr(pil: Image.Image) -> List[Dict[str,Any]]:
 def _dedupe_hits(hits: List[Dict[str,Any]]) -> List[Dict[str,Any]]:
     seen=set(); out=[]
     for r in hits:
+        # More aggressive deduplication based on content and approximate location
+        data = r.get("data", "").strip()
+        if not data:  # Skip empty detections
+            continue
         # Round coords to reduce jitter then dedupe
-        key=(r.get("type",""), r.get("data",""),
-             int(round(r.get("left",0)/3)*3), int(round(r.get("top",0)/3)*3),
-             int(round(r.get("width",0)/3)*3), int(round(r.get("height",0)/3)*3))
+        key=(r.get("type",""), data,
+             int(round(r.get("left",0)/10)*10), int(round(r.get("top",0)/10)*10))
         if key in seen: 
             continue
         seen.add(key)
@@ -1059,21 +1062,20 @@ def _dedupe_hits(hits: List[Dict[str,Any]]) -> List[Dict[str,Any]]:
     return out
 
 def _decode_variants(pil: Image.Image) -> List[Dict[str,Any]]:
-    variants=[pil, ImageOps.grayscale(pil)]
-    variants.append(_binarize(pil))
+    # Start with original image only to avoid false positives
+    variants=[pil]
     w,h = pil.size
     if max(w,h) < 1600:
         up = pil.resize((w*2,h*2), resample=Image.NEAREST)
-        variants += [up, _binarize(up)]
+        variants += [up]
+    
     hits=[]
     for v in variants:
-        # try 0/90/180/270
-        for angle in (0,90,180,270):
-            vv = v if angle==0 else v.rotate(angle, expand=True)
-            hits += _decode_zxing_all(vv)
-            hits += _decode_zbar(vv)
-            hits += _decode_dmtx(vv)
-            hits += _decode_cv2_qr(vv)
+        # Only try original orientation to avoid coordinate mapping issues
+        hits += _decode_zxing_all(v)
+        hits += _decode_zbar(v)
+        hits += _decode_dmtx(v)
+        hits += _decode_cv2_qr(v)
     return _dedupe_hits(hits)
 
 def _pix_to_pil(pix) -> Image.Image:
@@ -1460,6 +1462,12 @@ def find_barcodes_in_pdf(pdf_path: str, image_size: Optional[Tuple[int,int]]=Non
                     epix = fitz.Pixmap(doc, xref)
                     epil = _pix_to_pil(epix)
                     for r in _decode_variants(epil):
+                        # Check if barcode is in the excluded bottom 115mm area
+                        per_page_box = Box(r["top"], r["left"], r["top"]+r["height"], r["left"]+r["width"], r["width"]*r["height"])
+                        effective_dpi = int(round(72.0 * scale))
+                        if _is_in_excluded_bottom_area(per_page_box, pil.size[1], excluded_height_mm=115.0, dpi=effective_dpi):
+                            continue
+                        
                         b = Box(r["top"]+y_offset, r["left"], r["top"]+y_offset+r["height"], r["left"]+r["width"], r["width"]*r["height"])
                         boxes.append(b)
                         infos.append({**r, "valid": _validate(r.get("type",""), r.get("data","")), "page": page_idx+1, "source": f"embed:{ix+1}"})
@@ -1467,6 +1475,12 @@ def find_barcodes_in_pdf(pdf_path: str, image_size: Optional[Tuple[int,int]]=Non
                     pass
             # 2) page raster
             for r in _decode_variants(pil):
+                # Check if barcode is in the excluded bottom 115mm area
+                per_page_box = Box(r["top"], r["left"], r["top"]+r["height"], r["left"]+r["width"], r["width"]*r["height"])
+                effective_dpi = int(round(72.0 * scale))
+                if _is_in_excluded_bottom_area(per_page_box, pil.size[1], excluded_height_mm=115.0, dpi=effective_dpi):
+                    continue
+                
                 b = Box(r["top"]+y_offset, r["left"], r["top"]+y_offset+r["height"], r["left"]+r["width"], r["width"]*r["height"])
                 boxes.append(b)
                 infos.append({**r, "valid": _validate(r.get("type",""), r.get("data","")), "page": page_idx+1, "source": f"page@scale{scale:.2f}"})