Update EMT.py

EMT.py

@@ -110,44 +110,41 @@ class EMT(datasets.GeneratorBasedBuilder):
                 },
             ),
         ]
-    
+
     def _generate_examples(self, images, annotation_path):
         """Generate dataset examples by matching images to their corresponding annotations."""
         
         annotations = {}
         
-        # Extract the tar.gz file and read the annotations
+        # Load all annotations into memory
         for ann_file in os.listdir(annotation_path):
-            video_name = os.path.splitext(ann_file)[0]  # Get video folder name
+            video_name = os.path.splitext(ann_file)[0]  # Get video folder name from the annotation file
             ann_path = os.path.join(annotation_path, ann_file)
             
-            # Read annotation file
-            with tarfile.open(ann_path, "r:gz") as tar:
-                for member in tar.getmembers():
-                    with tar.extractfile(member) as file:
-                        for line in file:
-                            parts = line.strip().split()
-                            if len(parts) < 8:
-                                continue
-
-                            frame_id, track_id, class_name = parts[:3]
-                            bbox = list(map(float, parts[4:8]))
-                            class_id = _GT_OBJECT_CLASSES.get(class_name, -1)
-                            img_name = f"{frame_id}.jpg"
+            with open(ann_path, "r", encoding="utf-8") as f:
+                for line in f:
+                    parts = line.strip().split()
+                    if len(parts) < 8:
+                        continue
+    
+                    frame_id, track_id, class_name = parts[:3]
+                    bbox = list(map(float, parts[4:8]))
+                    class_id = _GT_OBJECT_CLASSES.get(class_name, -1)
+                    img_name = f"{frame_id}.jpg"
     
-                            # Store annotation in a dictionary
-                            key = f"{video_name}/{img_name}"
-                            if key not in annotations:
-                                annotations[key] = []
+                    # Store annotation in a dictionary
+                    key = f"{video_name}/{img_name}"
+                    if key not in annotations:
+                        annotations[key] = []
     
-                            annotations[key].append(
-                                {
-                                    "bbox": bbox,
-                                    "class_id": class_id,
-                                    "track_id": int(track_id),
-                                    "class_name": class_name,
-                                }
-                            )
+                    annotations[key].append(
+                        {
+                            "bbox": bbox,
+                            "class_id": class_id,
+                            "track_id": int(track_id),
+                            "class_name": class_name,
+                        }
+                    )
         
         # Yield dataset entries
         idx = 0
@@ -162,3 +159,4 @@ class EMT(datasets.GeneratorBasedBuilder):
                     "objects": annotations[key],
                 }
                 idx += 1
+