add requirements.txt

README.md

@@ -64,11 +64,17 @@
 </details>
 
 ## Installation
+SplaTAM has been tested on python 3.10, CUDA>=11.6. The simplest way to install all dependences is to use [anaconda](https://www.anaconda.com/) and [pip](https://pypi.org/project/pip/) in the following steps: 
 
-First, you have to make sure that you have all dependencies in place.
-The simplest way is to use [anaconda](https://www.anaconda.com/). 
+```bash
+conda create -n splatam python=3.10
+conda activate splatam
+conda install -c "nvidia/label/cuda-11.6.0" cuda-toolkit
+conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
+pip install -r requirements.txt
+```
 
-You can create an anaconda environment called `splatam`.
+We also provide a conda environment.yml file :
 ```bash
 conda env create -f environment.yml
 conda activate splatam

requirements.txt

@@ -0,0 +1,15 @@
+tqdm==4.65.0
+Pillow
+opencv-python
+imageio
+matplotlib
+kornia
+natsort
+pyyaml
+wandb
+lpips
+open3d==0.16.0
+torchmetrics
+cyclonedds
+pytorch-msssim
+git+https://github.com/JonathonLuiten/diff-gaussian-rasterization-w-depth.git@cb65e4b86bc3bd8ed42174b72a62e8d3a3a71110