test_rendering_meshes.py

#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.


"""
Sanity checks for output images from the renderer.
"""
import numpy as np
import unittest
from pathlib import Path
import torch
from PIL import Image

from pytorch3d.io import load_objs_as_meshes
from pytorch3d.renderer.cameras import (
    OpenGLPerspectiveCameras,
    look_at_view_transform,
)
from pytorch3d.renderer.lighting import PointLights
from pytorch3d.renderer.materials import Materials
from pytorch3d.renderer.mesh.rasterizer import (
    MeshRasterizer,
    RasterizationSettings,
)
from pytorch3d.renderer.mesh.renderer import MeshRenderer
from pytorch3d.renderer.mesh.shader import (
    BlendParams,
    HardGouradShader,
    HardPhongShader,
    SoftSilhouetteShader,
    TexturedSoftPhongShader,
)
from pytorch3d.renderer.mesh.texturing import Textures
from pytorch3d.structures.meshes import Meshes
from pytorch3d.utils.ico_sphere import ico_sphere

# Save out images generated in the tests for debugging
# All saved images have prefix DEBUG_
DEBUG = False
DATA_DIR = Path(__file__).resolve().parent / "data"


def load_rgb_image(filename, data_dir=DATA_DIR):
    filepath = data_dir / filename
    with Image.open(filepath) as raw_image:
        image = torch.from_numpy(np.array(raw_image) / 255.0)
    image = image.to(dtype=torch.float32)
    return image[..., :3]


class TestRenderingMeshes(unittest.TestCase):
    def test_simple_sphere(self, elevated_camera=False):
        """
        Test output of phong and gourad shading matches a reference image using
        the default values for the light sources.

        Args:
            elevated_camera: Defines whether the camera observing the scene should
                           have an elevation of 45 degrees.
        """
        device = torch.device("cuda:0")

        # Init mesh
        sphere_mesh = ico_sphere(5, device)
        verts_padded = sphere_mesh.verts_padded()
        faces_padded = sphere_mesh.faces_padded()
        textures = Textures(verts_rgb=torch.ones_like(verts_padded))
        sphere_mesh = Meshes(
            verts=verts_padded, faces=faces_padded, textures=textures
        )

        # Init rasterizer settings
        if elevated_camera:
            R, T = look_at_view_transform(2.7, 45.0, 0.0)
            postfix = "_elevated_camera"
        else:
            R, T = look_at_view_transform(2.7, 0.0, 0.0)
            postfix = ""
        cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
        raster_settings = RasterizationSettings(
            image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
        )

        # Init shader settings
        materials = Materials(device=device)
        lights = PointLights(device=device)
        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]

        # Init renderer
        rasterizer = MeshRasterizer(
            cameras=cameras, raster_settings=raster_settings
        )
        renderer = MeshRenderer(
            rasterizer=rasterizer,
            shader=HardPhongShader(
                lights=lights, cameras=cameras, materials=materials
            ),
        )
        images = renderer(sphere_mesh)
        rgb = images[0, ..., :3].squeeze().cpu()
        if DEBUG:
            Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
                DATA_DIR / "DEBUG_simple_sphere_light%s.png" % postfix
            )

        # Load reference image
        image_ref_phong = load_rgb_image(
            "test_simple_sphere_illuminated%s.png" % postfix
        )
        self.assertTrue(torch.allclose(rgb, image_ref_phong, atol=0.05))

        ###################################
        # Move the light behind the object
        ###################################
        # Check the image is dark
        lights.location[..., 2] = +2.0
        images = renderer(sphere_mesh, lights=lights)
        rgb = images[0, ..., :3].squeeze().cpu()
        if DEBUG:
            Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
                DATA_DIR / "DEBUG_simple_sphere_dark%s.png" % postfix
            )

        # Load reference image
        image_ref_phong_dark = load_rgb_image(
            "test_simple_sphere_dark%s.png" % postfix
        )
        self.assertTrue(torch.allclose(rgb, image_ref_phong_dark, atol=0.05))

        ######################################
        # Change the shader to a GouradShader
        ######################################
        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
        renderer = MeshRenderer(
            rasterizer=rasterizer,
            shader=HardGouradShader(
                lights=lights, cameras=cameras, materials=materials
            ),
        )
        images = renderer(sphere_mesh)
        rgb = images[0, ..., :3].squeeze().cpu()
        if DEBUG:
            Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
                DATA_DIR / "DEBUG_simple_sphere_light_gourad%s.png" % postfix
            )

        # Load reference image
        image_ref_gourad = load_rgb_image(
            "test_simple_sphere_light_gourad%s.png" % postfix
        )
        self.assertTrue(torch.allclose(rgb, image_ref_gourad, atol=0.005))
        self.assertFalse(torch.allclose(rgb, image_ref_phong, atol=0.005))

    def test_simple_sphere_elevated_camera(self):
        """
        Test output of phong and gourad shading matches a reference image using
        the default values for the light sources.

        The rendering is performed with a camera that has non-zero elevation.
        """
        self.test_simple_sphere(elevated_camera=True)

    def test_simple_sphere_batched(self):
        """
        Test output of phong shading matches a reference image using
        the default values for the light sources.
        """
        batch_size = 5
        device = torch.device("cuda:0")

        # Init mesh
        sphere_meshes = ico_sphere(5, device).extend(batch_size)
        verts_padded = sphere_meshes.verts_padded()
        faces_padded = sphere_meshes.faces_padded()
        textures = Textures(verts_rgb=torch.ones_like(verts_padded))
        sphere_meshes = Meshes(
            verts=verts_padded, faces=faces_padded, textures=textures
        )

        # Init rasterizer settings
        dist = torch.tensor([2.7]).repeat(batch_size).to(device)
        elev = torch.zeros_like(dist)
        azim = torch.zeros_like(dist)
        R, T = look_at_view_transform(dist, elev, azim)
        cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
        raster_settings = RasterizationSettings(
            image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
        )

        # Init shader settings
        materials = Materials(device=device)
        lights = PointLights(device=device)
        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]

        # Init renderer
        renderer = MeshRenderer(
            rasterizer=MeshRasterizer(
                cameras=cameras, raster_settings=raster_settings
            ),
            shader=HardPhongShader(
                lights=lights, cameras=cameras, materials=materials
            ),
        )
        images = renderer(sphere_meshes)

        # Load ref image
        image_ref = load_rgb_image("test_simple_sphere_illuminated.png")

        for i in range(batch_size):
            rgb = images[i, ..., :3].squeeze().cpu()
            if DEBUG:
                Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
                    DATA_DIR / f"DEBUG_simple_sphere_{i}.png"
                )
            self.assertTrue(torch.allclose(rgb, image_ref, atol=0.05))

    def test_silhouette_with_grad(self):
        """
        Test silhouette blending. Also check that gradient calculation works.
        """
        device = torch.device("cuda:0")
        ref_filename = "test_silhouette.png"
        image_ref_filename = DATA_DIR / ref_filename
        sphere_mesh = ico_sphere(5, device)
        verts, faces = sphere_mesh.get_mesh_verts_faces(0)
        sphere_mesh = Meshes(verts=[verts], faces=[faces])

        blend_params = BlendParams(sigma=1e-4, gamma=1e-4)
        raster_settings = RasterizationSettings(
            image_size=512,
            blur_radius=np.log(1.0 / 1e-4 - 1.0) * blend_params.sigma,
            faces_per_pixel=80,
            bin_size=0,
        )

        # Init rasterizer settings
        R, T = look_at_view_transform(2.7, 10, 20)
        cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)

        # Init renderer
        renderer = MeshRenderer(
            rasterizer=MeshRasterizer(
                cameras=cameras, raster_settings=raster_settings
            ),
            shader=SoftSilhouetteShader(blend_params=blend_params),
        )
        images = renderer(sphere_mesh)
        alpha = images[0, ..., 3].squeeze().cpu()
        if DEBUG:
            Image.fromarray((alpha.numpy() * 255).astype(np.uint8)).save(
                DATA_DIR / "DEBUG_silhouette_grad.png"
            )

        with Image.open(image_ref_filename) as raw_image_ref:
            image_ref = torch.from_numpy(np.array(raw_image_ref))
        image_ref = image_ref.to(dtype=torch.float32) / 255.0
        self.assertTrue(torch.allclose(alpha, image_ref, atol=0.055))

        # Check grad exist
        verts.requires_grad = True
        sphere_mesh = Meshes(verts=[verts], faces=[faces])
        images = renderer(sphere_mesh)
        images[0, ...].sum().backward()
        self.assertIsNotNone(verts.grad)

    def test_texture_map(self):
        """
        Test a mesh with a texture map is loaded and rendered correctly
        """
        device = torch.device("cuda:0")
        DATA_DIR = (
            Path(__file__).resolve().parent.parent / "docs/tutorials/data"
        )
        obj_filename = DATA_DIR / "cow_mesh/cow.obj"

        # Load mesh + texture
        mesh = load_objs_as_meshes([obj_filename], device=device)

        # Init rasterizer settings
        R, T = look_at_view_transform(2.7, 10, 20)
        cameras = OpenGLPerspectiveCameras(device=device, R=R, T=T)
        raster_settings = RasterizationSettings(
            image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
        )

        # Init shader settings
        materials = Materials(device=device)
        lights = PointLights(device=device)
        lights.location = torch.tensor([0.0, 0.0, -2.0], device=device)[None]
        raster_settings = RasterizationSettings(
            image_size=512, blur_radius=0.0, faces_per_pixel=1, bin_size=0
        )

        # Init renderer
        renderer = MeshRenderer(
            rasterizer=MeshRasterizer(
                cameras=cameras, raster_settings=raster_settings
            ),
            shader=TexturedSoftPhongShader(
                lights=lights, cameras=cameras, materials=materials
            ),
        )
        images = renderer(mesh)
        rgb = images[0, ..., :3].squeeze().cpu()

        # Load reference image
        image_ref = load_rgb_image("test_texture_map.png")

        if DEBUG:
            Image.fromarray((rgb.numpy() * 255).astype(np.uint8)).save(
                DATA_DIR / "DEBUG_texture_map.png"
            )

        # There's a calculation instability on the corner of the ear of the cow.
        # We ignore that pixel.
        image_ref[137, 166] = 0
        rgb[137, 166] = 0

        self.assertTrue(torch.allclose(rgb, image_ref, atol=0.05))

        # Check grad exists
        [verts] = mesh.verts_list()
        verts.requires_grad = True
        mesh2 = Meshes(
            verts=[verts], faces=mesh.faces_list(), textures=mesh.textures
        )
        images = renderer(mesh2)
        images[0, ...].sum().backward()
        self.assertIsNotNone(verts.grad)