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Update preprocess/humanparsing/run_parsing.py
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preprocess/humanparsing/run_parsing.py
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@@ -11,12 +11,12 @@ import torch
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class Parsing:
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def __init__(self, gpu_id: int):
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self.gpu_id = gpu_id
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torch.cuda.set_device(gpu_id)
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session_options = ort.SessionOptions()
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session_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
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session_options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
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session_options.add_session_config_entry('gpu_id', str(gpu_id))
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self.session = ort.InferenceSession(os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing/parsing_atr.onnx'),
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sess_options=session_options, providers=['CPUExecutionProvider'])
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self.lip_session = ort.InferenceSession(os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing/parsing_lip.onnx'),
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@@ -24,6 +24,6 @@ class Parsing:
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def __call__(self, input_image):
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torch.cuda.set_device(self.gpu_id)
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parsed_image, face_mask = onnx_inference(self.session, self.lip_session, input_image)
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return parsed_image, face_mask
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class Parsing:
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def __init__(self, gpu_id: int):
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# self.gpu_id = gpu_id
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# torch.cuda.set_device(gpu_id)
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session_options = ort.SessionOptions()
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session_options.graph_optimization_level = ort.GraphOptimizationLevel.ORT_ENABLE_ALL
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session_options.execution_mode = ort.ExecutionMode.ORT_SEQUENTIAL
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# session_options.add_session_config_entry('gpu_id', str(gpu_id))
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self.session = ort.InferenceSession(os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing/parsing_atr.onnx'),
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sess_options=session_options, providers=['CPUExecutionProvider'])
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self.lip_session = ort.InferenceSession(os.path.join(Path(__file__).absolute().parents[2].absolute(), 'checkpoints/humanparsing/parsing_lip.onnx'),
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def __call__(self, input_image):
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# torch.cuda.set_device(self.gpu_id)
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parsed_image, face_mask = onnx_inference(self.session, self.lip_session, input_image)
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return parsed_image, face_mask
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