Module: Gsplat::Rasterization2DGS

Defined in:
lib/gsplat/rasterization_2dgs.rb

Overview

High-level 2D Gaussian rendering composition.

Class Method Summary collapse

Class Method Details

.render(means:, quats:, scales:, opacities:, colors:, viewmats:, ks:, width:, height:, near_plane: 0.01, far_plane: 1e10, radius_clip: 0.0, eps2d: 0.3, sh_degree: nil, packed: false, tile_size: 16, backgrounds: nil, render_mode: "RGB", sparse_grad: false, absgrad: false, distloss: false, depth_mode: "expected", rasterize_mode: "classic") ⇒ Object

rubocop:disable Metrics/ParameterLists, Naming/MethodParameterName



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# File 'lib/gsplat/rasterization_2dgs.rb', line 10

def render(means:, quats:, scales:, opacities:, colors:, viewmats:, ks:, width:, height:,
           near_plane: 0.01, far_plane: 1e10, radius_clip: 0.0, eps2d: 0.3,
           sh_degree: nil, packed: false, tile_size: 16, backgrounds: nil,
           render_mode: "RGB", sparse_grad: false, absgrad: false, distloss: false,
           depth_mode: "expected", rasterize_mode: "classic")
  # rubocop:enable Metrics/ParameterLists, Naming/MethodParameterName
  validate_options!(sparse_grad, depth_mode, rasterize_mode)
  primary, alphas, meta = Gsplat.rasterization(
    means: means, quats: quats, scales: scales, opacities: opacities, colors: colors,
    viewmats: viewmats, ks: ks, width: width, height: height, near_plane: near_plane,
    far_plane: far_plane, radius_clip: radius_clip, eps2d: eps2d, sh_degree: sh_degree,
    packed: packed, tile_size: tile_size, backgrounds: backgrounds,
    render_mode: render_mode, absgrad: absgrad, rasterize_mode: rasterize_mode
  )
  gaussian_normals = camera_normals(
    Ops::TensorOps.data(means), Ops::TensorOps.data(quats), Ops::TensorOps.data(viewmats)
  )
  render_normals, = Gsplat.rasterization(
    means: means, quats: quats, scales: scales, opacities: opacities,
    colors: gaussian_normals, viewmats: viewmats, ks: ks, width: width, height: height,
    near_plane: near_plane, far_plane: far_plane, radius_clip: radius_clip, eps2d: eps2d,
    tile_size: tile_size, render_mode: "RGB", absgrad: false
  )
  render_median, = Gsplat.rasterization(
    means: means, quats: quats, scales: scales, opacities: opacities,
    colors: gaussian_normals, viewmats: viewmats, ks: ks, width: width, height: height,
    near_plane: near_plane, far_plane: far_plane, radius_clip: radius_clip, eps2d: eps2d,
    tile_size: tile_size, render_mode: "ED", absgrad: false
  )
  surface_normals = normalized_normals(Ops::TensorOps.data(render_normals), Ops::TensorOps.data(alphas))
  render_distort = distortion_image(
    Ops::TensorOps.data(render_median), Ops::TensorOps.data(alphas), distloss
  )
  meta = two_d_metadata(meta, gaussian_normals, render_distort)
  [primary, alphas, render_normals, surface_normals, render_distort, render_median, meta]
end