from ultralytics import YOLO,Explorer

# Load a pre-trained YOLOv10n model
# model = YOLO("./yolov10x.pt")
explorer = Explorer(data="./dataset.yaml", model="yolov10x.pt")
explorer.create_embeddings_table()
similar_images_df = explorer.get_similar(img="./1.jpg")
a=explorer.sql_query("WHERE labels LIKE '%person%' AND labels LIKE '%cake%' LIMIT 10")
print(a)
# model.train(data="./dataset.yaml", epochs=3)

# Perform object detection on an image
# results = model("./1.jpg")
# print(results)
# Display the results
# results[0].show()
# results[0].save(filename="result.jpg")  # save to disk 保存到磁盘