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camera refactoring

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Summary:
Refactor cameras
* CamerasBase was enhanced with `transform_points_screen` that transforms projected points from NDC to screen space
* OpenGLPerspective, OpenGLOrthographic -> FoVPerspective, FoVOrthographic
* SfMPerspective, SfMOrthographic -> Perspective, Orthographic
* PerspectiveCamera can optionally be constructred with screen space parameters
* Note on Cameras and coordinate systems was added

Reviewed By: nikhilaravi

Differential Revision: D23168525

fbshipit-source-id: dd138e2b2cc7e0e0d9f34c45b8251c01266a2063
This commit is contained in:
Georgia Gkioxari
2020-08-20 22:20:41 -07:00
committed by Facebook GitHub Bot
parent 9242e7e65d
commit 57a22e7306
65 changed files with 896 additions and 279 deletions
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4
tests/test_shapenet_core.py
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@@ -12,7 +12,7 @@ from common_testing import TestCaseMixin, load_rgb_image
from PIL import Image
from pytorch3d.datasets import ShapeNetCore, collate_batched_meshes
from pytorch3d.renderer import (
OpenGLPerspectiveCameras,
FoVPerspectiveCameras,
PointLights,
RasterizationSettings,
look_at_view_transform,
@@ -174,7 +174,7 @@ class TestShapenetCore(TestCaseMixin, unittest.TestCase):
# Rendering settings.
R, T = look_at_view_transform(1.0, 1.0, 90)
cameras = OpenGLPerspectiveCameras(R=R, T=T, device=device)
cameras = FoVPerspectiveCameras(R=R, T=T, device=device)
raster_settings = RasterizationSettings(image_size=512)
lights = PointLights(
location=torch.tensor([0.0, 1.0, -2.0], device=device)[None],