import os import requests import modelscope import huggingface_hub from tqdm import tqdm from urllib.parse import urlparse TMP_DIR = "./__pycache__" EN_US = os.getenv("LANG") != "zh_CN.UTF-8" MODEL_DIR = ( huggingface_hub.snapshot_download( "Genius-Society/MiVOLO", cache_dir="./mivolo/__pycache__", ) if EN_US else modelscope.snapshot_download( "Genius-Society/MiVOLO", cache_dir="./mivolo/__pycache__", ) ) ZH2EN = { "# 性别年龄检测器": "# Gender Age Detector", "上传模式": "Uploading Mode", "上传照片": "Upload Photo", "检测结果": "Detection Result", "存在儿童": "Has Child", "状态栏": "Status", "存在女性": "Has Female", "存在男性": "Has Male", "在线模式": "Online Mode", "网络图片链接": "Online Picture URL", "是": "Yes", "否": "No", } def _L(zh_txt: str): return ZH2EN[zh_txt] if EN_US else zh_txt def is_url(s: str): try: # 解析字符串 result = urlparse(s) # 检查scheme(如http, https)和netloc(域名) return all([result.scheme, result.netloc]) except: # 如果解析过程中发生异常,则返回False return False def download_file(url: str, save_path: str): if os.path.exists(save_path): print("目标已存在,无需下载") return create_dir(os.path.dirname(save_path)) response = requests.get(url, stream=True) total_size = int(response.headers.get("content-length", 0)) # 使用 tqdm 创建一个进度条 progress_bar = tqdm(total=total_size, unit="B", unit_scale=True) with open(save_path, "wb") as file: for data in response.iter_content(chunk_size=1024): file.write(data) progress_bar.update(len(data)) progress_bar.close() if total_size != 0 and progress_bar.n != total_size: os.remove(save_path) print("下载失败,重试中...") download_file(url, save_path) else: print("下载完成") return save_path def create_dir(dir_path: str): if not os.path.exists(dir_path): os.makedirs(dir_path) def get_jpg_files(folder_path: str): all_files = os.listdir(folder_path) return [ os.path.join(folder_path, file) for file in all_files if file.lower().endswith(".jpg") ]