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Runtime error
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import numpy as np
import torch
from ..utils.load_model import load_model
class AppearanceExtractor:
def __init__(self, model_path, device="cuda"):
kwargs = {
"module_name": "AppearanceFeatureExtractor",
}
self.model, self.model_type = load_model(model_path, device=device, **kwargs)
self.device = device
def __call__(self, image):
"""
image: np.ndarray, shape (1, 3, 256, 256), float32, range [0, 1]
"""
if self.model_type == "onnx":
pred = self.model.run(None, {"image": image})[0]
elif self.model_type == "tensorrt":
self.model.setup({"image": image})
self.model.infer()
pred = self.model.buffer["pred"][0].copy()
elif self.model_type == 'pytorch':
with torch.no_grad(), torch.autocast(device_type=self.device[:4], dtype=torch.float16, enabled=True):
pred = self.model(torch.from_numpy(image).to(self.device)).float().cpu().numpy()
else:
raise ValueError(f"Unsupported model type: {self.model_type}")
return pred
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