clean up

swarms/agents/multi_modal_visual_agent.py

@@ -28,11 +28,11 @@ from langchain.chains.conversation.memory import ConversationBufferMemory
 from langchain.llms.openai import OpenAI
 
 # Grounding DINO
-import swarms.agents.models.groundingdino.groundingdino.datasets.transforms as T
-from swarms.agents.models.groundingdino.groundingdino.models import build_model
-from swarms.agents.models.groundingdino.groundingdino.util import box_ops
-from swarms.agents.models.groundingdino.groundingdino.util.slconfig import SLConfig
-from swarms.agents.models.groundingdino.groundingdino.util.utils import clean_state_dict, get_phrases_from_posmap
+import swarms.agents.models.groundingdino.datasets.transforms as T
+from swarms.agents.models.groundingdino.models import build_model
+from swarms.agents.models.groundingdino.util import box_ops
+from swarms.agents.models.groundingdino.util.slconfig import SLConfig
+from swarms.agents.models.groundingdino.util.utils import clean_state_dict, get_phrases_from_posmap
 
 # segment anything
 from segment_anything import build_sam, SamPredictor, SamAutomaticMaskGenerator
@@ -1025,7 +1025,7 @@ class Text2Box:
         print(f"Initializing ObjectDetection to {device}")
         self.device = device
         self.torch_dtype = torch.float16 if 'cuda' in device else torch.float32
-        self.model_checkpoint_path = os.path.join("checkpoints","groundingdino"groundingdino.)
+        self.model_checkpoint_path = os.path.join("checkpoints","groundingdino")
         self.model_config_path = os.path.join("checkpoints","grounding_config.py")
         self.download_parameters()
         self.box_threshold = 0.3
@@ -1033,10 +1033,10 @@ class Text2Box:
         self.grounding = (self.load_model()).to(self.device)
 
     def download_parameters(self):
-        url = "https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_groundingdino.swint_ogc.pth"
+        url = "https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth"
         if not os.path.exists(self.model_checkpoint_path):
             wget.download(url,out=self.model_checkpoint_path)
-        config_url = "https://raw.githubusercontent.com/IDEA-Research/GroundingDINO/main/groundingdino/groundingdino.config/GroundingDINO_SwinT_OGC.py"
+        config_url = "https://raw.githubusercontent.com/IDEA-Research/GroundingDINO/main/groundingdino/config/GroundingDINO_SwinT_OGC.py"
         if not os.path.exists(self.model_config_path):
             wget.download(config_url,out=self.model_config_path)
     def load_image(self,image_path):