From 0a7c354dc1d2e2a6642ef8fbb28a6ad1da89283e Mon Sep 17 00:00:00 2001 From: h5jam Date: Wed, 13 Apr 2022 04:35:05 -0700 Subject: [PATCH] fix typo on NeRF tutorial (#1163) Summary: Hello, I'm Seungoh from South Korea. I'm finding typo while I'm learning tutorials. Wrong numbers are changed to right numbers. Thank you. Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1163 Reviewed By: patricklabatut Differential Revision: D35546843 Pulled By: bottler fbshipit-source-id: b6e70cdf821fd4a108dfd416e8f4bcb3ecbeb449 --- docs/tutorials/fit_simple_neural_radiance_field.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/tutorials/fit_simple_neural_radiance_field.ipynb b/docs/tutorials/fit_simple_neural_radiance_field.ipynb index 6490c527..94e52ab5 100644 --- a/docs/tutorials/fit_simple_neural_radiance_field.ipynb +++ b/docs/tutorials/fit_simple_neural_radiance_field.ipynb @@ -815,7 +815,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 5. Visualizing the optimized neural radiance field\n", + "## 6. Visualizing the optimized neural radiance field\n", "\n", "Finally, we visualize the neural radiance field by rendering from multiple viewpoints that rotate around the volume's y-axis." ] @@ -865,7 +865,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 6. Conclusion\n", + "## 7. Conclusion\n", "\n", "In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a `MonteCarloRaysampler` or `NDCMultinomialRaysampler`, and an `EmissionAbsorptionRaymarcher`." ]