d2b634744401fff8166fed16f47e3be9be94cd6d,main.py,,denormalize,#Any#Any#,15

Before Change

def denormalize(T, coords):
    x_original = torch.mul(coords[:, 0], int(T/2)) + int((T/2))
    y_original = torch.mul(coords[:, 1], int(T/2)) + int((T/2))
    return torch.stack([x_original, y_original])

After Change

    
    x = 0.5 * ((coords[:, 0] + 1.0) * T)
    y = 0.5 * ((coords[:, 1] + 1.0) * T)
    return torch.stack([x, y], dim=1).long()


def bounding_box(x, y, size, color="w"):
    x = int(x - (size / 2))

Instances