Source code for chainercv.transforms.point.resize_point

[docs]def resize_point(point, in_size, out_size): """Adapt point coordinates to the rescaled image space. Args: point (~numpy.ndarray): Points in the image. The shape of this array is :math:`(P, 2)`. :math:`P` is the number of points in the image. The last dimension is composed of :math:`y` and :math:`x` coordinates of the points. in_size (tuple): A tuple of length 2. The height and the width of the image before resized. out_size (tuple): A tuple of length 2. The height and the width of the image after resized. Returns: ~numpy.ndarray: Points rescaled according to the given image shapes. """ point = point.copy() y_scale = float(out_size[0]) / in_size[0] x_scale = float(out_size[1]) / in_size[1] point[:, 0] = y_scale * point[:, 0] point[:, 1] = x_scale * point[:, 1] return point