Add checkpoint to textsam.LangSAM() (#204)

Author: forestbat

samgeo/text_sam.py

@@ -109,7 +109,7 @@ class LangSAM:
     A Language-based Segment-Anything Model (LangSAM) class which combines GroundingDINO and SAM.
     """
 
-    def __init__(self, model_type="vit_h"):
+    def __init__(self, model_type="vit_h", checkpoint=None):
         """Initialize the LangSAM instance.
 
         Args:
@@ -119,7 +119,7 @@ def __init__(self, model_type="vit_h"):
 
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
         self.build_groundingdino()
-        self.build_sam(model_type)
+        self.build_sam(model_type, checkpoint)
 
         self.source = None
         self.image = None
@@ -129,17 +129,21 @@ def __init__(self, model_type="vit_h"):
         self.logits = None
         self.prediction = None
 
-    def build_sam(self, model_type):
+    def build_sam(self, model_type, checkpoint_url=None):
         """Build the SAM model.
 
         Args:
             model_type (str, optional): The model type. It can be one of the following: vit_h, vit_l, vit_b.
                 Defaults to 'vit_h'. See https://bit.ly/3VrpxUh for more details.
+            checkpoint_url:
         """
-        checkpoint_url = SAM_MODELS[model_type]
-        sam = sam_model_registry[model_type]()
-        state_dict = torch.hub.load_state_dict_from_url(checkpoint_url)
-        sam.load_state_dict(state_dict, strict=True)
+        if checkpoint_url is not None:
+            sam = sam_model_registry[model_type](checkpoint=checkpoint_url)
+        else:
+            checkpoint_url = SAM_MODELS[model_type]
+            sam = sam_model_registry[model_type]()
+            state_dict = torch.hub.load_state_dict_from_url(checkpoint_url)
+            sam.load_state_dict(state_dict, strict=True)
         sam.to(device=self.device)
         self.sam = SamPredictor(sam)