pulsar_basic.py

#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
"""
This example demonstrates the most trivial, direct interface of the pulsar
sphere renderer. It renders and saves an image with 10 random spheres.
Output: basic.png.
"""
from os import path

import imageio
import torch
from pytorch3d.renderer.points.pulsar import Renderer


n_points = 10
width = 1_000
height = 1_000
device = torch.device("cuda")
renderer = Renderer(width, height, n_points).to(device)
# Generate sample data.
vert_pos = torch.rand(n_points, 3, dtype=torch.float32, device=device) * 10.0
vert_pos[:, 2] += 25.0
vert_pos[:, :2] -= 5.0
vert_col = torch.rand(n_points, 3, dtype=torch.float32, device=device)
vert_rad = torch.rand(n_points, dtype=torch.float32, device=device)
cam_params = torch.tensor(
    [
        0.0,
        0.0,
        0.0,  # Position 0, 0, 0 (x, y, z).
        0.0,
        0.0,
        0.0,  # Rotation 0, 0, 0 (in axis-angle format).
        5.0,  # Focal length in world size.
        2.0,  # Sensor size in world size.
    ],
    dtype=torch.float32,
    device=device,
)
# Render.
image = renderer(
    vert_pos,
    vert_col,
    vert_rad,
    cam_params,
    1.0e-1,  # Renderer blending parameter gamma, in [1., 1e-5].
    45.0,  # Maximum depth.
)
print("Writing image to `%s`." % (path.abspath("basic.png")))
imageio.imsave("basic.png", (image.cpu().detach() * 255.0).to(torch.uint8).numpy())