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app.py
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app.py
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import argparse
import os
from demo.processor import IDPhotoProcessor
from demo.ui import create_ui
from hivision.creator.choose_handler import HUMAN_MATTING_MODELS
root_dir = os.path.dirname(os.path.abspath(__file__))
# 获取存在的人像分割模型列表
# 通过检查 hivision/creator/weights 目录下的 .onnx 和 .mnn 文件
# 只保留文件名(不包括扩展名)
HUMAN_MATTING_MODELS_EXIST = [
os.path.splitext(file)[0]
for file in os.listdir(os.path.join(root_dir, "hivision/creator/weights"))
if file.endswith(".onnx") or file.endswith(".mnn")
]
# 在HUMAN_MATTING_MODELS中的模型才会被加载到Gradio中显示
HUMAN_MATTING_MODELS_CHOICE = [
model for model in HUMAN_MATTING_MODELS if model in HUMAN_MATTING_MODELS_EXIST
]
if len(HUMAN_MATTING_MODELS_CHOICE) == 0:
raise ValueError(
"未找到任何存在的人像分割模型,请检查 hivision/creator/weights 目录下的文件"
+ "\n"
+ "No existing portrait segmentation model was found, please check the files in the hivision/creator/weights directory."
)
FACE_DETECT_MODELS = ["face++ (联网Online API)", "mtcnn"]
FACE_DETECT_MODELS_EXPAND = (
["retinaface-resnet50"]
if os.path.exists(
os.path.join(
root_dir, "hivision/creator/retinaface/weights/retinaface-resnet50.onnx"
)
)
else []
)
FACE_DETECT_MODELS_CHOICE = FACE_DETECT_MODELS + FACE_DETECT_MODELS_EXPAND
LANGUAGE = ["zh", "en", "ko", "ja"]
if __name__ == "__main__":
argparser = argparse.ArgumentParser()
argparser.add_argument(
"--port", type=int, default=7860, help="The port number of the server"
)
argparser.add_argument(
"--host", type=str, default="127.0.0.1", help="The host of the server"
)
argparser.add_argument(
"--root_path",
type=str,
default=None,
help="The root path of the server, default is None (='/'), e.g. '/myapp'",
)
args = argparser.parse_args()
processor = IDPhotoProcessor()
demo = create_ui(
processor,
root_dir,
HUMAN_MATTING_MODELS_CHOICE,
FACE_DETECT_MODELS_CHOICE,
LANGUAGE,
)
# 如果RUN_MODE是Beast,打印已开启野兽模式
if os.getenv("RUN_MODE") == "beast":
print("[Beast mode activated.] 已开启野兽模式。")
demo.launch(
server_name=args.host,
server_port=args.port,
favicon_path=os.path.join(root_dir, "assets/hivision_logo.png"),
root_path=args.root_path,
show_api=False,
)