Refactor imports for better organization and enable high-performance mode

detect-objects.py

@@ -58,16 +58,17 @@ import argparse
 import logging
 import os
 import sys
-from typing import List, Dict, Any
+from typing import Any, Dict, List
 
 import torch
-from PIL import Image
-from datasets import load_dataset, Dataset, Features, Sequence, Value, ClassLabel
+from datasets import ClassLabel, Dataset, Features, Sequence, Value, load_dataset
 from datasets import Image as ImageFeature
 from huggingface_hub import HfApi, login
+from PIL import Image
 from tqdm.auto import tqdm
-from transformers import Sam3Processor, Sam3Model
+from transformers import Sam3Model, Sam3Processor
 
+os.environ["HF_XET_HIGH_PERFORMANCE"] = "1"
 # Configure logging
 logging.basicConfig(
     level=logging.INFO,
@@ -285,11 +286,13 @@ def process_batch(
             image_categories.append(0)  # Single class, always index 0
             image_scores.append(float(score))
 
-        batch_objects.append({
-            "bbox": image_bboxes,
-            "category": image_categories,
-            "score": image_scores,
-        })
+        batch_objects.append(
+            {
+                "bbox": image_bboxes,
+                "category": image_categories,
+                "score": image_scores,
+            }
+        )
 
     return {"objects": batch_objects}