def det_img(model_inference,images_frame,confidence,label_name_list):

    result = model_inference.predict(images_frame)

    bbox_list = result.boxes
    labels_ids_list = result.label_ids
    scores_list = result.scores

    result_list = []

    for i in range(len(labels_ids_list)):

        if scores_list[i] > confidence:

            if int(labels_ids_list[i]) in range(len(label_name_list)):
                
                result_dict = {label_name_list[int(labels_ids_list[i])]:bbox_list[i]}
                result_list.append(result_dict)
    
        
    return result_list