From e0856e3afcd9593808a214dedeecf5eb8c15ded1 Mon Sep 17 00:00:00 2001 From: Matt Tancik Date: Thu, 25 Aug 2022 21:30:59 -0700 Subject: [PATCH] Remove references to notebooks folder --- .github/workflows/core_code_checks.yml | 4 ++-- docs/tutorials/data/choosing_dataset.md | 9 +++------ 2 files changed, 5 insertions(+), 8 deletions(-) diff --git a/.github/workflows/core_code_checks.yml b/.github/workflows/core_code_checks.yml index 21d3959ea..934f4aace 100644 --- a/.github/workflows/core_code_checks.yml +++ b/.github/workflows/core_code_checks.yml @@ -33,9 +33,9 @@ jobs: run: | python ./scripts/docs/add_nb_tags.py --check - name: Run isort - run: isort docs/ nerfactory/ notebooks/ scripts/ tests/ --profile black --check + run: isort docs/ nerfactory/ scripts/ tests/ --profile black --check - name: Run Black - run: black docs/ nerfactory/ notebooks/ scripts/ tests/ --check + run: black docs/ nerfactory/ scripts/ tests/ --check - name: Python Pylint run: | pylint nerfactory tests scripts diff --git a/docs/tutorials/data/choosing_dataset.md b/docs/tutorials/data/choosing_dataset.md index 598d89f34..993014e07 100644 --- a/docs/tutorials/data/choosing_dataset.md +++ b/docs/tutorials/data/choosing_dataset.md @@ -20,14 +20,11 @@ data: #### Visualize dataset -You can use `notebooks/visualize_dataset.ipynb` to see how your formatted dataset looks. This code will load a dataset from a yaml config, show the camera poses, and visualize rays with the specified collider in the config. TODO: add a better visualization with images too - -![visualize_dataset](media/creating_dataset_visualize_dataset.png) - +TODO #### Supported datasets -We include support for a set of standard dataset formats. +We include support for a set of standard dataset formats. ###### Blender Synthetic @@ -81,4 +78,4 @@ dataset_format: record_3d Directly import dataset recorded from a >= iPhone 12 Pro using the Record3D app. -Record a video and export with the `EXR + JPG sequence` format. Unzip export and `rgb` folder before training. \ No newline at end of file +Record a video and export with the `EXR + JPG sequence` format. Unzip export and `rgb` folder before training.