| from pathlib import Path |
| import os |
| 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.inter_op_num_threads = os.cpu_count() // 2 |
| session_options.intra_op_num_threads = os.cpu_count() // 2 |
| 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 |
|
|
