fix: 修復hanoi2右側圖像上下翻轉時過濾條件錯誤的情況

pref: 6_9較好參數
pref: 關閉hanoi2循跡模型切換

utils.py

@@ -264,33 +264,41 @@ class label_filter:
                 return (target_bool, label_bool, target_box)
         return (False, False, None)
     
-    # '''
-    # description: 查询两个目标 只有 target_label 返回 box
-    # param {*} self
-    # param {*} tlabel
-    # return {[bool]}
-    # ''' 
-    # def get_two_hanoi(self, target_label, label, ymax_range):
-    #     response = self.get_resp()
-    #     if response['code'] == 0:
-    #         ret, results = self.filter_box_custom(response['data'], ymax_range)
-    #         if ret:
-    #             expect_boxes = (results[:, 0] == target_label.value)
-    #             boxes = results[expect_boxes, :]
-    #             if len(boxes) != 0:
-    #                 target_bool = True
-    #                 target_box = boxes[:, 2:]
-    #             else:
-    #                 target_bool = False
-    #                 target_box = None
-    #             expect_boxes = (results[:, 0] == label.value)
-    #             boxes = results[expect_boxes, :]
-    #             if len(boxes) != 0:
-    #                 label_bool = True
-    #             else:
-    #                 label_bool = False
-    #             return (target_bool, label_bool, target_box)
-    #     return (False, False, None)
+    '''
+    description: 查询两个目标 只有 target_label 返回 box
+    param {*} self
+    param {*} tlabel
+    return {[bool]}
+    ''' 
+    def get_two_hanoi(self, target_label, label, flipv):
+        response = self.get_resp()
+        if response['code'] == 0:
+            # FIXME 直接在外部过滤，不在 fliter 内过滤
+            ret, results = self.filter_box(response['data'])
+            if ret:
+                expect_boxes = (results[:, 0] == target_label.value)
+                boxes = results[expect_boxes, :]
+                if len(boxes) != 0:
+                    target_bool = True
+                    target_box = boxes[:, 2:]
+                else:
+                    target_bool = False
+                    target_box = None
+                expect_boxes = (results[:, 0] == label.value)
+                boxes = results[expect_boxes, :]
+                # 在此处过滤
+                if len(boxes) != 0:
+                    # 如果垂直翻转 (走右侧) 且 *ymin* 小于 60（走右侧）
+                    if flipv:
+                        label_bool = all(box[3] > 60  for box in boxes)
+                    # 如果不垂直翻转 (走左侧) 且 *ymax* 大于 180（走左侧）
+                    else:
+                        label_bool = all(box[5] < 180  for box in boxes)
+                    # label_bool = True
+                else:
+                    label_bool = False
+                return (target_bool, label_bool, target_box)
+        return (False, False, None)
 
     '''
     description: 判断传入的多目标标签是否存在，存在返回 True