import pdb from pathlib import Path import sys import os import onnxruntime as ort PROJECT_ROOT = Path(__file__).absolute().parents[0].absolute() sys.path.insert(0, str(PROJECT_ROOT)) from parsing_api import onnx_inference import torch from huggingface_hub import hf_hub_download class Parsing: def __init__(self, gpu_id: int): self.gpu_id = gpu_id torch.cuda.set_device(gpu_id) session_options = ort.SessionOptions() session_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL session_options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL session_options.add_session_config_entry('gpu_id', str(gpu_id)) parsing_ckpt_path = os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing') atr_model_path = 'https://huggingface.co/levihsu/OOTDiffusion/resolve/main/checkpoints/humanparsing/parsing_atr.onnx' lip_model_path = 'https://huggingface.co/levihsu/OOTDiffusion/resolve/main/checkpoints/humanparsing/parsing_lip.onnx' from basicsr.utils.download_util import load_file_from_url load_file_from_url(atr_model_path, model_dir=parsing_ckpt_path) load_file_from_url(lip_model_path, model_dir=parsing_ckpt_path) self.session = ort.InferenceSession(os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing/parsing_atr.onnx'), sess_options=session_options, providers=['CPUExecutionProvider']) self.lip_session = ort.InferenceSession(os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing/parsing_lip.onnx'), sess_options=session_options, providers=['CPUExecutionProvider']) def __call__(self, input_image): torch.cuda.set_device(self.gpu_id) parsed_image, face_mask = onnx_inference(self.session, self.lip_session, input_image) return parsed_image, face_mask