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Running
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L40S
Running
on
L40S
File size: 993 Bytes
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from pathlib import Path
import sys
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
class Parsing:
def __init__(self, atr_path, lip_path):
session_options = ort.SessionOptions()
session_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
session_options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
self.session = ort.InferenceSession(atr_path,
sess_options=session_options, providers=['CPUExecutionProvider'])
self.lip_session = ort.InferenceSession(lip_path,
sess_options=session_options, providers=['CPUExecutionProvider'])
def __call__(self, input_image):
parsed_image, face_mask = onnx_inference(self.session, self.lip_session, input_image)
return parsed_image, face_mask
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