Update rename.py

rename.py

@@ -0,0 +1,45 @@
+import os
+
+# Define dataset paths
+dataset_dirs = ["train", "val", "test"]
+base_path = "/path/to/your/dataset"  # Change this to your dataset root directory
+
+# Define class names and their mapping
+class_names = ["sunglass", "hat", "headphone"]  # Add more classes as needed
+
+for dataset in dataset_dirs:
+    images_path = os.path.join(base_path, dataset, "images")
+    labels_path = os.path.join(base_path, dataset, "labels")
+
+    if not os.path.exists(images_path) or not os.path.exists(labels_path):
+        print(f"Skipping {dataset}: Missing images or labels directory.")
+        continue  # Skip if directories don't exist
+
+    for class_name in class_names:
+        count = 1
+        image_files = sorted([f for f in os.listdir(images_path) if f.lower().endswith(('.jpg', '.png', '.jpeg'))])
+
+        for filename in image_files:
+            label_filename = os.path.splitext(filename)[0] + ".txt"
+
+            # New names
+            new_image_name = f"{class_name}_{count}.jpg"
+            new_label_name = f"{class_name}_{count}.txt"
+
+            # Rename image
+            old_image_path = os.path.join(images_path, filename)
+            new_image_path = os.path.join(images_path, new_image_name)
+
+            if not os.path.exists(new_image_path):  # Avoid overwriting
+                os.rename(old_image_path, new_image_path)
+
+            # Rename label file if it exists
+            old_label_path = os.path.join(labels_path, label_filename)
+            new_label_path = os.path.join(labels_path, new_label_name)
+
+            if os.path.exists(old_label_path) and not os.path.exists(new_label_path):
+                os.rename(old_label_path, new_label_path)
+
+            count += 1
+
+print("Renaming completed successfully!")