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Inverse-Rendering Toolkit

Project description

inv-render-toolkit

Inverse-Rendering Toolkit

Quick Start

Create a virtual environment

Clone the repository. Make sure you have Anaconda installed. To avoid package conflicts, create a virtual environment using Anaconda via

conda env create -f environment.yml
conda activate ivt

If environment.yml is updated and you want to update your environemnt accordingly, you can run

conda env update --name ivt --file environment.yml

Add a --prune at the end if you want to remove extra packages not listed in environment.yml.

Install the backends

Since we are using a virtual environment ivt, which has its own Python, you need to compile psdr with the correct Python version. If CMake fails to find the correct one during configuration, try adding -DPython_EXECUTABLE=$(which python) (assuming ivt environment is activated and python is referring to the Anaconda one) when running CMake.

Install the ivt packages

At the root directory of the cloned repo, run

pip install . 

If you want to modify the code but don't want to repeatedly install them, add -e after install (highly recommended if you are going to change the code),

pip install -e .

Run examples

There are some inverse rendering examples in the examples directory. Follow the instructions below to run them.

First, go the examples directory:

cd examples

Choose a config file from the configs directory. Take configs/armadillo/joint_ch.gin as an example: it contains configurations of a joint optimization problem, which aims to reconstruct the shape and material of an armadillo simultaneously. Use the follow line to perform the optimization:

python opt.py configs/armadillo/joint_ch.gin

If this is the first time you run this scene, you will run into error because there are no target images. Add a --render_target or -r flag will render the target images (if the scene is synthetic) before doing the optimization.

python opt.py -r configs/armadillo/joint_ch.gin

Some inverse rendering problems might share the same set of target images, so you might not need to rerender the target images when switching tasks. Check the config file for details.

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