Some questions about pearson loss

[whu-lyh]

I checked the code and found that the pearson loss is not used at all:

def pearson_depth_loss(depth_src, depth_target):
    #co = pearson(depth_src.reshape(-1), depth_target.reshape(-1))

    src = depth_src - depth_src.mean()
    target = depth_target - depth_target.mean()

    src = src / (src.std() + 1e-6)
    target = target / (target.std() + 1e-6)

    co = (src * target).mean()
    assert not torch.any(torch.isnan(co))
    return 1 - co

Is there something I missed? Thanks!