from itertools import combinations, permutations from pathlib import Path from typing import List import random SAVE_PATH = "prompts.txt" MINI_SAVE_PATH = "mini_prompts.txt" # COCO Classes, from https://docs.ultralytics.com/datasets/detect/coco/#dataset-yaml OBJECT_PATH = Path(__file__).parent / "coco_classes.txt" MAX_IMG_OBJECTS = 3 MAX_OBJ_QUANTITY = 5 def get_objects() -> List[str]: with open(OBJECT_PATH) as f: objects = [o.strip('\n') for o in f.readlines()] return objects def get_plural_suffix(object: str) -> str: suffix = "" if object == "person": object = "people" elif object.endswith("s") or object.endswith("sh") or object.endswith("ch"): suffix = "es" elif object.endswith("y"): suffix = "ies" object = object[:-1] else: suffix = "s" object += suffix return object def gen_prompt_quantifier_helper(object: str, n: int) -> str: """ object: str, ex: 'person', 'car', 'dog', etc. returns: list of object strings with quantifier prefix and pluralization """ if n > 1: object = get_plural_suffix(object) return f"{n} {object}" def gen_single_object_prompts(objects: List[str]) -> List[str]: prompts = [] for obj in objects: prompts.extend(gen_prompt_quantifier_helper(obj)) return prompts def generate_prompts(objects): """ Generates a list of prompts and saves them for model evaluation e.g. 1 person 2 people 3 people 1 person and 1 car 2 people and 1 car 3 people and 1 car 1 person and 2 cars 2 people and 2 cars 3 people and 2 cars ... """ prompts = set() for num_img_objects in range(1, MAX_IMG_OBJECTS + 1): for combo in combinations(objects, num_img_objects): for count_permute in permutations(list(range(1, MAX_OBJ_QUANTITY + 1)) * num_img_objects, num_img_objects): prompt = "" for i, obj in enumerate(combo): if i > 0: prompt += " and " prompt += gen_prompt_quantifier_helper(obj, count_permute[i]) prompts.add(prompt) return prompts def save_prompts(prompts: List[str], save_path: str = SAVE_PATH): with open(save_path, 'w') as f: for prompt in prompts: f.write(prompt + '\n') if __name__ == "__main__": objects = get_objects() prompts = sorted(list(generate_prompts(objects))) save_prompts(prompts) # mini_objects = random.sample(objects, 10) # prompts = sorted(list(generate_prompts(mini_objects))) # save_prompts(prompts, MINI_SAVE_PATH)