track-anything-annotate / XMem2 /util /range_transform.py
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import torchvision.transforms as transforms
im_mean = (124, 116, 104)
im_normalization = transforms.Normalize(
mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225]
)
inv_im_trans = transforms.Normalize(
mean=[-0.485/0.229, -0.456/0.224, -0.406/0.225],
std=[1/0.229, 1/0.224, 1/0.225])