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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")
]
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