import torch import numpy as np from tqdm import tqdm import utils3d from PIL import Image from ..renderers import MeshRenderer, VoxelRenderer, PbrMeshRenderer from ..representations import Mesh, Voxel, MeshWithPbrMaterial, MeshWithVoxel 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 get_renderer(sample, **kwargs): if isinstance(sample, (MeshWithPbrMaterial, MeshWithVoxel)): renderer = PbrMeshRenderer() renderer.rendering_options.resolution = kwargs.get('resolution', 512) renderer.rendering_options.near = kwargs.get('near', 1) renderer.rendering_options.far = kwargs.get('far', 100) renderer.rendering_options.ssaa = kwargs.get('ssaa', 2) renderer.rendering_options.peel_layers = kwargs.get('peel_layers', 8) elif isinstance(sample, Mesh): renderer = MeshRenderer() renderer.rendering_options.resolution = kwargs.get('resolution', 512) renderer.rendering_options.near = kwargs.get('near', 1) renderer.rendering_options.far = kwargs.get('far', 100) renderer.rendering_options.ssaa = kwargs.get('ssaa', 2) renderer.rendering_options.chunk_size = kwargs.get('chunk_size', None) elif isinstance(sample, Voxel): renderer = VoxelRenderer() renderer.rendering_options.resolution = kwargs.get('resolution', 512) renderer.rendering_options.near = kwargs.get('near', 0.1) renderer.rendering_options.far = kwargs.get('far', 10.0) renderer.rendering_options.ssaa = kwargs.get('ssaa', 2) else: raise ValueError(f'Unsupported sample type: {type(sample)}') return renderer def render_frames(sample, extrinsics, intrinsics, options={}, verbose=True, **kwargs): renderer = get_renderer(sample, **options) rets = {} for j, (extr, intr) in tqdm(enumerate(zip(extrinsics, intrinsics)), total=len(extrinsics), desc='Rendering', disable=not verbose): res = renderer.render(sample, extr, intr, **kwargs) for k, v in res.items(): if k not in rets: rets[k] = [] if v.dim() == 2: v = v[None].repeat(3, 1, 1) rets[k].append(np.clip(v.detach().cpu().numpy().transpose(1, 2, 0) * 255, 0, 255).astype(np.uint8)) return rets def render_video(sample, resolution=1024, bg_color=(0, 0, 0), num_frames=120, r=2, fov=36, **kwargs): # Match render_snapshot angles: start at 150° (5π/6), fixed 20° pitch # This gives consistent camera perspective between video and static previews start_yaw = 5 * np.pi / 6 # 150 degrees pitch_val = 20 / 180 * np.pi # 20 degrees fixed yaws = torch.linspace(start_yaw, 2 * np.pi + start_yaw, num_frames).tolist() pitch = [pitch_val] * num_frames 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, nviews=4, **kwargs): yaw = np.linspace(0, 2 * np.pi, nviews, endpoint=False) yaw_offset = offset[0] yaw = [y + yaw_offset for y in yaw] pitch = [offset[1] for _ in range(nviews)] 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) def make_pbr_vis_frames(result, resolution=1024): num_frames = len(result['shaded']) frames = [] for i in range(num_frames): shaded = Image.fromarray(result['shaded'][i]) normal = Image.fromarray(result['normal'][i]) base_color = Image.fromarray(result['base_color'][i]) metallic = Image.fromarray(result['metallic'][i]) roughness = Image.fromarray(result['roughness'][i]) alpha = Image.fromarray(result['alpha'][i]) shaded = shaded.resize((resolution, resolution)) normal = normal.resize((resolution, resolution)) base_color = base_color.resize((resolution//2, resolution//2)) metallic = metallic.resize((resolution//2, resolution//2)) roughness = roughness.resize((resolution//2, resolution//2)) alpha = alpha.resize((resolution//2, resolution//2)) row1 = np.concatenate([shaded, normal], axis=1) row2 = np.concatenate([base_color, metallic, roughness, alpha], axis=1) frame = np.concatenate([row1, row2], axis=0) frames.append(frame) return frames