classify.py

import pandas as pd
from ultralytics import YOLO

class Classification:
    def __init__(self) -> None:
        self.__cls_model = YOLO('model/cls_best.pt')

    def classify_defect(self, image_path) -> pd.DataFrame:
        result_cls = self.__cls_model.predict(image_path, stream=False)
        # Prepare data for CSV
        data1 = []
        for result in result_cls:
            cnt1 = 0
            for i in result_cls[0].probs.top5:
                data1.append({
                    "Image/File Name": result_cls[0].path,
                    "Detected class by cls": self.__cls_model.names[i],
                    "Conf score": result_cls[0].probs.top5conf.tolist()[cnt1]
                    })
                cnt1 = cnt1 + 1
        
        # Convert to DataFrame and save as CSV
        return pd.DataFrame(data1)
        # df1.to_csv('classification_results.csv', index=False)