3D Animal Reconstruction with Expectation Maximization in the Loop
Who Left the Dogs Out?
Evaluation and demo code for our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
Install
Clone the repository with submodules:
git clone --recurse-submoduleshttps://github.com/benjiebob/WLDO
For segmentation decoding, install pycocotools python -m pip install "git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI"
Datasets
To use the StanfordExtra dataset, you will need to download the .json file via the repository.
Please ensure you have StanfordExtra_v12 installed, which we released 1 Feb 2021.
You may also wish to evaluate the Animal Pose Dataset. If so, download all of the dog images into data/animal_pose/images. For example, an image path should look like: data/animal_pose/images/2007_000063.jpg. We have reformatted the annotation file and enclose it in this repository data/animal_pose/animal_pose_data.json.
Splits
The