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Viki1314 avatar Viki1314 commented on August 18, 2024

I meet the same problem.It is cause by the pix_indxs which has the element that is bigger than cam_rays.shape[0].

def bbox_sample(bboxes, num_pix):
    """
    :param 
    bboxes:(NV, 4) ,cmin rmin cmax rmax
    num_pix:int,128
    :return (num_pix, 3)
    """
    image_ids = torch.randint(0, bboxes.shape[0], (num_pix,))#[0,NV),shape:128
    pix_bboxes = bboxes[image_ids]#128x4
    # x = (
    #     torch.rand(num_pix) * (pix_bboxes[:, 2] + 1 - pix_bboxes[:, 0])
    #     + pix_bboxes[:, 0]
    # ).long()#128
    # y = (
    #     torch.rand(num_pix) * (pix_bboxes[:, 3] + 1 - pix_bboxes[:, 1])
    #     + pix_bboxes[:, 1]
    # ).long()#128
    x = (
        torch.rand(num_pix) * (pix_bboxes[:, 2]  - pix_bboxes[:, 0])
        + pix_bboxes[:, 0]
    ).long()#128
    y = (
        torch.rand(num_pix) * (pix_bboxes[:, 3]  - pix_bboxes[:, 1])
        + pix_bboxes[:, 1]
    ).long()#128
    pix = torch.stack((image_ids, y, x), dim=-1)
    return pix

from pixel-nerf.

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