trellis/utils/render_utils.py

import torch
import numpy as np
from tqdm import tqdm
import utils3d
from PIL import Image

from ..renderers import OctreeRenderer, GaussianRenderer, MeshRenderer
from ..representations import Octree, Gaussian, MeshExtractResult
from ..modules import sparse as sp
from .random_utils import sphere_hammersley_sequence


def yaw_pitch_r_fov_to_extrinsics_intrinsics(yaws, pitchs, rs, fovs):
    is_list = isinstance(yaws, list)
    if not is_list:
        yaws = [yaws]
        pitchs = [pitchs]
    if not isinstance(rs, list):
        rs = [rs] * len(yaws)
    if not isinstance(fovs, list):
        fovs = [fovs] * len(yaws)
    extrinsics = []
    intrinsics = []
    for yaw, pitch, r, fov in zip(yaws, pitchs, rs, fovs):
        fov = torch.deg2rad(torch.tensor(float(fov))).cuda()
        yaw = torch.tensor(float(yaw)).cuda()
        pitch = torch.tensor(float(pitch)).cuda()
        orig = torch.tensor([
            torch.sin(yaw) * torch.cos(pitch),
            torch.cos(yaw) * torch.cos(pitch),
            torch.sin(pitch),
        ]).cuda() * r
        extr = utils3d.torch.extrinsics_look_at(orig, torch.tensor([0, 0, 0]).float().cuda(), torch.tensor([0, 0, 1]).float().cuda())
        intr = utils3d.torch.intrinsics_from_fov_xy(fov, fov)
        extrinsics.append(extr)
        intrinsics.append(intr)
    if not is_list:
        extrinsics = extrinsics[0]
        intrinsics = intrinsics[0]
    return extrinsics, intrinsics


def render_frames(sample, extrinsics, intrinsics, options={}, colors_overwrite=None, verbose=True, **kwargs):
    if isinstance(sample, Octree):
        renderer = OctreeRenderer()
        renderer.rendering_options.resolution = options.get('resolution', 512)
        renderer.rendering_options.near = options.get('near', 0.8)
        renderer.rendering_options.far = options.get('far', 1.6)
        renderer.rendering_options.bg_color = options.get('bg_color', (0, 0, 0))
        renderer.rendering_options.ssaa = options.get('ssaa', 4)
        renderer.pipe.primitive = sample.primitive
    elif isinstance(sample, Gaussian):
        renderer = GaussianRenderer()
        renderer.rendering_options.resolution = options.get('resolution', 512)
        renderer.rendering_options.near = options.get('near', 0.8)
        renderer.rendering_options.far = options.get('far', 1.6)
        renderer.rendering_options.bg_color = options.get('bg_color', (0, 0, 0))
        renderer.rendering_options.ssaa = options.get('ssaa', 1)
        renderer.pipe.kernel_size = kwargs.get('kernel_size', 0.1)
        renderer.pipe.use_mip_gaussian = True
    elif isinstance(sample, MeshExtractResult):
        renderer = MeshRenderer()
        renderer.rendering_options.resolution = options.get('resolution', 512)
        renderer.rendering_options.near = options.get('near', 1)
        renderer.rendering_options.far = options.get('far', 100)
        renderer.rendering_options.ssaa = options.get('ssaa', 4)
    else:
        raise ValueError(f'Unsupported sample type: {type(sample)}')
    
    rets = {}
    for j, (extr, intr) in tqdm(enumerate(zip(extrinsics, intrinsics)), desc='Rendering', disable=not verbose):
        if not isinstance(sample, MeshExtractResult):
            res = renderer.render(sample, extr, intr, colors_overwrite=colors_overwrite)
            if 'color' not in rets: rets['color'] = []
            if 'depth' not in rets: rets['depth'] = []
            rets['color'].append(np.clip(res['color'].detach().cpu().numpy().transpose(1, 2, 0) * 255, 0, 255).astype(np.uint8))
            if 'percent_depth' in res:
                rets['depth'].append(res['percent_depth'].detach().cpu().numpy())
            elif 'depth' in res:
                rets['depth'].append(res['depth'].detach().cpu().numpy())
            else:
                rets['depth'].append(None)
        else:
            res = renderer.render(sample, extr, intr)
            if 'normal' not in rets: rets['normal'] = []
            rets['normal'].append(np.clip(res['normal'].detach().cpu().numpy().transpose(1, 2, 0) * 255, 0, 255).astype(np.uint8))
    return rets


def render_video(sample, resolution=512, bg_color=(0, 0, 0), num_frames=300, r=2, fov=40, **kwargs):
    # Start at 135 degrees (45 + 90 more) and rotate from there
    start_angle = 3.1415 * 3 / 4  # 135 degrees in radians (45 + 90)
    yaws = torch.linspace(start_angle, 2 * 3.1415 + start_angle, num_frames)  # Full rotation starting from 135 degrees
    pitch = torch.tensor([0.34] * num_frames)  # Higher pitch for proper isometric view
    yaws = yaws.tolist()
    pitch = pitch.tolist()
    extrinsics, intrinsics = yaw_pitch_r_fov_to_extrinsics_intrinsics(yaws, pitch, r, fov)
    return render_frames(sample, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': bg_color}, **kwargs)

def render_multiview(sample, resolution=512, nviews=30):
    r = 2
    fov = 40
    cams = [sphere_hammersley_sequence(i, nviews) for i in range(nviews)]
    yaws = [cam[0] for cam in cams]
    pitchs = [cam[1] for cam in cams]
    extrinsics, intrinsics = yaw_pitch_r_fov_to_extrinsics_intrinsics(yaws, pitchs, r, fov)
    res = render_frames(sample, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': (0, 0, 0)})
    return res['color'], extrinsics, intrinsics


def render_snapshot(samples, resolution=512, bg_color=(0, 0, 0), offset=(-16 / 180 * np.pi, 20 / 180 * np.pi), r=10, fov=8, **kwargs):
    yaw = [0, np.pi/2, np.pi, 3*np.pi/2]
    yaw_offset = offset[0]
    yaw = [y + yaw_offset for y in yaw]
    pitch = [offset[1] for _ in range(4)]
    extrinsics, intrinsics = yaw_pitch_r_fov_to_extrinsics_intrinsics(yaw, pitch, r, fov)
    return render_frames(samples, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': bg_color}, **kwargs)