Angjoo Kanazawa*, Shubham Tulsiani*, Alexei A. Efros, Jitendra Malik
University of California, Berkeley In ECCV, 2018
- Python 2.7
- PyTorch tested on version
0.3.0.post4
virtualenv venv_cmr
source venv_cmr/bin/activate
pip install -U pip
deactivate
source venv_cmr/bin/activate
pip install -r requirements.txt
cd external;
bash install_external.sh
- From the
cmrdirectory, download the trained model:
wget https://people.eecs.berkeley.edu/~kanazawa/cachedir/cmr/model.tar.gz & tar -vzxf model.tar.gz
You should see cmr/cachedir/snapshots/bird_net/
- Run the demo:
python -m cmr.demo --name bird_net --num_train_epoch 500 --img_path cmr/demo_data/img1.jpg
python -m cmr.demo --name bird_net --num_train_epoch 500 --img_path cmr/demo_data/birdie.jpg
Please see doc/train.md
If you use this code for your research, please consider citing:
@inProceedings{cmrKanazawa18,
title={Learning Category-Specific Mesh Reconstruction
from Image Collections},
author = {Angjoo Kanazawa and
Shubham Tulsiani
and Alexei A. Efros
and Jitendra Malik},
booktitle={ECCV},
year={2018}
}
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