Solve combined categories (#125)

* Update inference.py

groundingdino/util/utils.py

@@ -597,10 +597,12 @@ def targets_to(targets: List[Dict[str, Any]], device):
 
 
 def get_phrases_from_posmap(
-    posmap: torch.BoolTensor, tokenized: Dict, tokenizer: AutoTokenizer
+    posmap: torch.BoolTensor, tokenized: Dict, tokenizer: AutoTokenizer, left_idx: int = 0, right_idx: int = 255
 ):
     assert isinstance(posmap, torch.Tensor), "posmap must be torch.Tensor"
     if posmap.dim() == 1:
+        posmap[0: left_idx + 1] = False
+        posmap[right_idx:] = False
         non_zero_idx = posmap.nonzero(as_tuple=True)[0].tolist()
         token_ids = [tokenized["input_ids"][i] for i in non_zero_idx]
         return tokenizer.decode(token_ids)