Fix bottom chests detection via anchor-based scaling and hybrid OCR verification

bot_core.py

@@ -7,6 +7,7 @@ Supports resolution-independent relative coordinates and adaptive template scali
 from enum import Enum
 import logging
 import os
+import re
 import time
 from typing import Dict, Optional, Tuple
 import cv2
@@ -298,49 +299,58 @@ class DirtyLeagueBot:
 
     def scan_bottom_chests(self, frame: np.ndarray) -> dict:
         """
-        Scans chest slots 1..4 in the bottom bar of TOWER_LOBBY using relative coordinates.
-        Supports any resolution dynamically.
+        Scans chest slots 1..4 in the bottom bar of TOWER_LOBBY.
+        Bottom collection bar is anchored to Bottom-Left in Unity Canvas.
+        Uses height scaling and centered crops with hybrid template + OCR detection.
         """
-        fh, fw = frame.shape[:2]
-        rel_base_x = 0.1367
-        rel_pitch_x = 0.0555
-        rel_y = 0.9024
-        rel_w = 0.0547
-        rel_h = 0.0341
-
         scale = self.get_frame_scale(frame)
         tpl_open = self.get_scaled_template("status_open", scale)
         tpl_vacant = self.get_scaled_template("status_vacant", scale)
 
+        base_x = 630
+        pitch_x = 213
+        base_y = 1885
+        half_w = int(90 * scale)
+        half_h = int(35 * scale)
+
         results = {}
         for i in range(4):
             slot_id = i + 1
-            sx = int((rel_base_x + i * rel_pitch_x) * fw)
-            sy = int(rel_y * fh)
-            sw = int(rel_w * fw)
-            sh = int(rel_h * fh)
-            status_crop = frame[sy:sy + sh, sx:sx + sw]
+            cx = int((base_x + i * pitch_x) * scale)
+            cy = int(base_y * scale)
+
+            y1 = max(0, cy - half_h)
+            y2 = min(frame.shape[0], cy + half_h)
+            x1 = max(0, cx - half_w)
+            x2 = min(frame.shape[1], cx + half_w)
+            status_crop = frame[y1:y2, x1:x2]
 
             status = "TIMER"
+            # 1. Template matching for OPEN
+            is_open = False
             if tpl_open is not None and status_crop.shape[0] >= tpl_open.shape[0] and status_crop.shape[1] >= tpl_open.shape[1]:
                 res_open = cv2.matchTemplate(status_crop, tpl_open, cv2.TM_CCOEFF_NORMED)
                 _, max_v_open, _, _ = cv2.minMaxLoc(res_open)
-                if max_v_open >= 0.75:
-                    status = "OPEN"
+                if max_v_open >= 0.70:
+                    is_open = True
 
-            if status != "OPEN" and tpl_vacant is not None and status_crop.shape[0] >= tpl_vacant.shape[0] and status_crop.shape[1] >= tpl_vacant.shape[1]:
-                res_vacant = cv2.matchTemplate(status_crop, tpl_vacant, cv2.TM_CCOEFF_NORMED)
-                _, max_v_vacant, _, _ = cv2.minMaxLoc(res_vacant)
-                if max_v_vacant >= 0.75:
-                    status = "VACANT"
+            # 2. OCR fallback/confirmation for OPEN
+            txt = ocr_reader.read_text(status_crop).lower()
+            if is_open or "open" in txt:
+                status = "OPEN"
+            else:
+                # 3. Check for VACANT
+                if tpl_vacant is not None and status_crop.shape[0] >= tpl_vacant.shape[0] and status_crop.shape[1] >= tpl_vacant.shape[1]:
+                    res_vacant = cv2.matchTemplate(status_crop, tpl_vacant, cv2.TM_CCOEFF_NORMED)
+                    _, max_v_vacant, _, _ = cv2.minMaxLoc(res_vacant)
+                    if max_v_vacant >= 0.70:
+                        status = "VACANT"
+                if status != "VACANT" and ("vacan" in txt or txt == ""):
+                    if not re.search(r"\d", txt):
+                        status = "VACANT"
 
-            if status != "OPEN" and status != "VACANT":
-                txt = ocr_reader.read_text(status_crop).lower()
-                if "vacan" in txt:
-                    status = "VACANT"
-
-            click_cx = sx + sw // 2
-            click_cy = sy - int(0.035 * fh)
+            click_cx = cx
+            click_cy = cy - int(80 * scale)
             results[slot_id] = {
                 "status": status,
                 "click_pos": (click_cx, click_cy)