将yolox利用onnxruntime推理时模型输出后结果需要利用下面代码映射到原图上，但是直接利用pth进行推理时，没有看到这一步，这个是为什么？

[skming666]

将yolox利用onnxruntime推理时模型输出后结果需要利用下面代码映射到原图上，但是直接利用pth进行推理时，没有看到这一步，这个是为什么？
def demo_postprocess(outputs, img_size, p6=False):
grids = []
expanded_strides = []
if not p6:
strides = [8, 16, 32]
else:
strides = [8, 16, 32, 64]
hsizes = [img_size[0] // stride for stride in strides]
wsizes = [img_size[1] // stride for stride in strides]
for hsize, wsize, stride in zip(hsizes, wsizes, strides):
xv, yv = np.meshgrid(np.arange(wsize), np.arange(hsize))
grid = np.stack((xv, yv), 2).reshape(1, -1, 2)
grids.append(grid)
shape = grid.shape[:2]
expanded_strides.append(np.full((*shape, 1), stride))
grids = np.concatenate(grids, 1)
expanded_strides = np.concatenate(expanded_strides, 1)
outputs[..., :2] = (outputs[..., :2] + grids) * expanded_strides
outputs[..., 2:4] = np.exp(outputs[..., 2:4]) * expanded_strides
return outputs