👉 In machine learning and computer vision, "unchamfered" refers to a type of operation where data points are not aligned or aligned with each other. This is often used in geometric transformations such as rotations, translations, and scaling. For example, if we have two images A and B that represent the same scene but come from different viewpoints (A rotated around the x-axis and B rotated around the y-axis), then "unchamfered" operations would involve applying one transformation to
