130 lines
5.8 KiB
Python
130 lines
5.8 KiB
Python
import torch
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import numpy as np
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from tqdm import tqdm
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import utils3d
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from PIL import Image
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from ..renderers import MeshRenderer, VoxelRenderer, PbrMeshRenderer
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from ..representations import Mesh, Voxel, MeshWithPbrMaterial, MeshWithVoxel
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from .random_utils import sphere_hammersley_sequence
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def yaw_pitch_r_fov_to_extrinsics_intrinsics(yaws, pitchs, rs, fovs):
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is_list = isinstance(yaws, list)
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if not is_list:
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yaws = [yaws]
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pitchs = [pitchs]
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if not isinstance(rs, list):
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rs = [rs] * len(yaws)
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if not isinstance(fovs, list):
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fovs = [fovs] * len(yaws)
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extrinsics = []
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intrinsics = []
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for yaw, pitch, r, fov in zip(yaws, pitchs, rs, fovs):
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fov = torch.deg2rad(torch.tensor(float(fov))).cuda()
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yaw = torch.tensor(float(yaw)).cuda()
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pitch = torch.tensor(float(pitch)).cuda()
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orig = torch.tensor([
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torch.sin(yaw) * torch.cos(pitch),
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torch.cos(yaw) * torch.cos(pitch),
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torch.sin(pitch),
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]).cuda() * r
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extr = utils3d.torch.extrinsics_look_at(orig, torch.tensor([0, 0, 0]).float().cuda(), torch.tensor([0, 0, 1]).float().cuda())
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intr = utils3d.torch.intrinsics_from_fov_xy(fov, fov)
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extrinsics.append(extr)
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intrinsics.append(intr)
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if not is_list:
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extrinsics = extrinsics[0]
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intrinsics = intrinsics[0]
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return extrinsics, intrinsics
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def get_renderer(sample, **kwargs):
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if isinstance(sample, (MeshWithPbrMaterial, MeshWithVoxel)):
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renderer = PbrMeshRenderer()
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renderer.rendering_options.resolution = kwargs.get('resolution', 512)
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renderer.rendering_options.near = kwargs.get('near', 1)
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renderer.rendering_options.far = kwargs.get('far', 100)
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renderer.rendering_options.ssaa = kwargs.get('ssaa', 2)
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renderer.rendering_options.peel_layers = kwargs.get('peel_layers', 8)
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elif isinstance(sample, Mesh):
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renderer = MeshRenderer()
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renderer.rendering_options.resolution = kwargs.get('resolution', 512)
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renderer.rendering_options.near = kwargs.get('near', 1)
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renderer.rendering_options.far = kwargs.get('far', 100)
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renderer.rendering_options.ssaa = kwargs.get('ssaa', 2)
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renderer.rendering_options.chunk_size = kwargs.get('chunk_size', None)
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elif isinstance(sample, Voxel):
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renderer = VoxelRenderer()
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renderer.rendering_options.resolution = kwargs.get('resolution', 512)
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renderer.rendering_options.near = kwargs.get('near', 0.1)
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renderer.rendering_options.far = kwargs.get('far', 10.0)
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renderer.rendering_options.ssaa = kwargs.get('ssaa', 2)
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else:
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raise ValueError(f'Unsupported sample type: {type(sample)}')
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return renderer
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def render_frames(sample, extrinsics, intrinsics, options={}, verbose=True, **kwargs):
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renderer = get_renderer(sample, **options)
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rets = {}
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for j, (extr, intr) in tqdm(enumerate(zip(extrinsics, intrinsics)), total=len(extrinsics), desc='Rendering', disable=not verbose):
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res = renderer.render(sample, extr, intr, **kwargs)
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for k, v in res.items():
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if k not in rets: rets[k] = []
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if v.dim() == 2: v = v[None].repeat(3, 1, 1)
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rets[k].append(np.clip(v.detach().cpu().numpy().transpose(1, 2, 0) * 255, 0, 255).astype(np.uint8))
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return rets
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def render_video(sample, resolution=1024, bg_color=(0, 0, 0), num_frames=120, r=2, fov=40, **kwargs):
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yaws = -torch.linspace(0, 2 * 3.1415, num_frames) + np.pi/2
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pitch = 0.25 + 0.5 * torch.sin(torch.linspace(0, 2 * 3.1415, num_frames))
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yaws = yaws.tolist()
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pitch = pitch.tolist()
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extrinsics, intrinsics = yaw_pitch_r_fov_to_extrinsics_intrinsics(yaws, pitch, r, fov)
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return render_frames(sample, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': bg_color}, **kwargs)
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def render_multiview(sample, resolution=512, nviews=30):
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r = 2
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fov = 40
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cams = [sphere_hammersley_sequence(i, nviews) for i in range(nviews)]
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yaws = [cam[0] for cam in cams]
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pitchs = [cam[1] for cam in cams]
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extrinsics, intrinsics = yaw_pitch_r_fov_to_extrinsics_intrinsics(yaws, pitchs, r, fov)
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res = render_frames(sample, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': (0, 0, 0)})
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return res['color'], extrinsics, intrinsics
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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):
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yaw = np.linspace(0, 2 * np.pi, nviews, endpoint=False)
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yaw_offset = offset[0]
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yaw = [y + yaw_offset for y in yaw]
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pitch = [offset[1] for _ in range(nviews)]
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extrinsics, intrinsics = yaw_pitch_r_fov_to_extrinsics_intrinsics(yaw, pitch, r, fov)
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return render_frames(samples, extrinsics, intrinsics, {'resolution': resolution, 'bg_color': bg_color}, **kwargs)
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def make_pbr_vis_frames(result, resolution=1024):
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num_frames = len(result['shaded'])
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frames = []
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for i in range(num_frames):
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shaded = Image.fromarray(result['shaded'][i])
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normal = Image.fromarray(result['normal'][i])
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base_color = Image.fromarray(result['base_color'][i])
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metallic = Image.fromarray(result['metallic'][i])
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roughness = Image.fromarray(result['roughness'][i])
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alpha = Image.fromarray(result['alpha'][i])
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shaded = shaded.resize((resolution, resolution))
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normal = normal.resize((resolution, resolution))
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base_color = base_color.resize((resolution//2, resolution//2))
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metallic = metallic.resize((resolution//2, resolution//2))
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roughness = roughness.resize((resolution//2, resolution//2))
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alpha = alpha.resize((resolution//2, resolution//2))
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row1 = np.concatenate([shaded, normal], axis=1)
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row2 = np.concatenate([base_color, metallic, roughness, alpha], axis=1)
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frame = np.concatenate([row1, row2], axis=0)
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frames.append(frame)
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return frames
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