Update project settings

.readthedocs.yaml

@@ -1,12 +1,16 @@
 version: 2
 
+sphinx:
+  fail_on_warning: true
+
 python:
   version: 3.8
   install:
-    - requirements: requirements.txt
-    - requirements: docs/requirements.txt
+    # Equivalent to 'pip install .'
     - method: pip
       path: .
-
-sphinx:
-  fail_on_warning: true
+    # Equivalent to 'pip install .[docs]'
+    - method: pip
+      path: .
+      extra_requirements:
+        - docs

examples/README.md

@@ -0,0 +1,22 @@
+# Examples using nerfacc
+
+## Installation
+
+Extra dependencies are needed.
+You should make sure that you are using version of pytorch that support CUDA 11.
+
+```
+pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
+```
+
+Then install via pip
+
+```
+pip install nerfacc[examples]
+```
+
+To install locally
+
+```
+pip install -e .[examples]
+```

pyproject.toml

@@ -1,4 +1,28 @@
+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
+
 [project]
 name = "nerfacc"
+version = "0.0.3"
 authors = [{name = "Ruilong", email = "[email protected]"}]
-dynamic = ["version", "description"]
+license = { text="MIT" }
+requires-python = ">=3.8"
+dependencies = [
+    "ninja>=1.10.2.3",
+    "pybind11>=2.10.0",
+    "torch>=1.12.1"
+]
+
+[project.optional-dependencies]
+# for example scripts
+examples = [
+    "tinycudann @ git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch",
+    "opencv-python",
+    "imageio",
+    "numpy",
+    "tqdm",
+]
+
+# for documentation
+docs = []

setup.sh

@@ -1,3 +1,4 @@
 conda create -n nerfacc python=3.9 -y
 conda activate nerfacc
-pip install -r requirements.txt
+conda install pytorch cudatoolkit=11.3 -c pytorch -y
+pip install -e .