diff --git a/inference_minimal.py b/inference_minimal.py
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+++ b/inference_minimal.py
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+# inference_minimal.py
+import cv2
+import torch
+
+# Load a pretrained YOLOv5 model from PyTorch Hub
+model = torch.hub.load("ultralytics/yolov5", "yolov5s", pretrained=True)
+
+# Load image
+img_path = r"yolov5\data\images\bus.jpg"  # Default image in YOLOv5 repo
+img = cv2.imread(img_path)
+assert img is not None, f"Image not found: {img_path}"
+
+# Convert BGR to RGB
+img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+
+# Inference
+results = model(img)
+
+# Print and show results
+results.print()
+results.show()
+results.save(save_dir="output")