Update map_to_hear.py

map_to_hear.py

@@ -40,7 +40,7 @@ def process_csv(csv_path):
     assert path.exists(), f"CSV Path {csv_path} does not exist"
     
     # Load all rows from CSV and group by label (ignoring source)
-    label_frames = {}  # {label: set of frames}
+    data = []
     with open(path, newline='') as csvfile:
         reader = csv_module.reader(csvfile, delimiter=',')
         for row in reader:
@@ -48,37 +48,11 @@ def process_csv(csv_path):
                 frame_idx = int(row[0])
                 class_idx = int(row[1])
                 label = LABEL_MAPPING[str(class_idx)]
-                label_frames.setdefault(label, set()).add(frame_idx)
-    
-    if not label_frames:
-        return []
-    
-    # Convert to time-based events for each label
-    data = []
-    for label, frames in label_frames.items():
-        frames = sorted(frames)
-        
-        # Group consecutive frames into events
-        start_frame = frames[0]
-        prev_frame = frames[0]
-        
-        for frame in frames[1:]:
-            if frame - prev_frame > 1:  # Gap detected, end current event
                 data.append({
                     "label": label,
-                    "start": float(start_frame * ANNOTATION_FREQ),
-                    "end": float((prev_frame + 1) * ANNOTATION_FREQ)
+                    "start": float(frame_idx * ANNOTATION_FREQ),
+                    "end": float((frame_idx + 1) * ANNOTATION_FREQ)
                 })
-                start_frame = frame
-            prev_frame = frame
-        
-        # Add the final event
-        data.append({
-            "label": label,
-            "start": float(start_frame * ANNOTATION_FREQ),
-            "end": float((prev_frame + 1) * ANNOTATION_FREQ)
-        })
-    
     return data
             
 def map_to_splits(audios, fold_to_split):