<p align="center">
<br>
<img src="./docs/assets/logo.png" height="60" width="60"/>
<br>
</p>
<h1 align="center">EzFlow</h1>
<h3 align="center">A modular PyTorch library for optical flow estimation using neural networks</h3>
<div align='center'>
[](https://github.com/neu-vig/ezflow/actions/workflows/package-test.yml)
[](https://ezflow.readthedocs.io/en/latest/?badge=latest)
[](https://pepy.tech/project/ezflow)
<!-- [](https://github.com/neu-vig/ezflow/actions/workflows/linting.yml) -->
<!-- [](https://github.com/neu-vig/ezflow/actions/workflows/codecov.yml) -->
**[Documentation](https://ezflow.readthedocs.io/en/latest/)** | **[Tutorials](https://ezflow.readthedocs.io/en/latest/tutorials/index.html)**
</div>
## Installation
### From source (recommended)
```shell
git clone https://github.com/neu-vig/ezflow
cd ezflow/
python setup.py install
```
### From PyPI
```shell
pip install ezflow
```
___
### Models supported
- [x] [DICL](https://arxiv.org/abs/2010.14851)
- [x] [DCVNet](https://jianghz.me/files/DCVNet_camera_ready_wacv2023.pdf) ([1 checkpoint](./configs/README.md))
- [x] [FlowNetS](https://arxiv.org/abs/1504.06852)
- [x] [FlowNetC](https://arxiv.org/abs/1504.06852) ([3 checkpoints](./configs/README.md))
- [x] [PWCNet](https://arxiv.org/abs/1709.02371) ([3 checkpoints](./configs/README.md))
- [x] [RAFT](https://arxiv.org/abs/2003.12039) ([3 checkpoints](./configs/README.md))
- [x] [VCN](https://papers.nips.cc/paper/2019/hash/bbf94b34eb32268ada57a3be5062fe7d-Abstract.html)
### Datasets supported
- [x] [AutoFlow](https://autoflow-google.github.io/)
- [x] [FlyingChairs](https://lmb.informatik.uni-freiburg.de/resources/datasets/FlyingChairs.en.html#flyingchairs)
- [x] [HD1K](http://hci-benchmark.iwr.uni-heidelberg.de/)
- [x] [KITTI](http://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=flow)
- [x] [Kubric](https://github.com/google-research/kubric)
- [x] [MPI Sintel](http://sintel.is.tue.mpg.de/)
- [x] [SceneFlow Monkaa](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)
- [x] [SceneFlow Driving](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)
- [x] [SceneFlow FlyingThings3D](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)
- [x] [SceneFlow FlyingThings3D subset](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)
___
### Results and Pre-trained checkpoints
- #### DCVNet | [model config](./configs/models/dcvnet.yaml) | [paper](https://jianghz.me/files/DCVNet_camera_ready_wacv2023.pdf)
| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |
|-----------------------------------------|-------------------------------------------------------------------------|----------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|
| FlyingThings3DSubset + Monkaa + Driving | [config](./configs/trainers/dcvnet/dcvnet_sceneflow_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/dcvnet_sceneflow_step800k.pth) | 1.90 | 3.35 | 4.75 | 23.41% |
- #### FlowNetC | [model config](./configs/models/flownet_c.yaml) | [arXiv](https://arxiv.org/abs/1504.06852)
| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |
|------------------|-------------------------------------------------------------------------|----------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|
| Chairs | [config](./configs/trainers/flownetc/flownetc_chairs_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/flownetc_chairs_step1200k.pth) | 3.41 | 4.94 | 14.84 | 54.23% |
| Chairs -> Things | [config](./configs/trainers/flownetc/flownetc_things_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/flownetc_chairs_things_step1574k.pth) | 2.93 | 4.48 | 12.47 | 45.89% |
| Kubric | [config](./configs/trainers/flownetc/flownetc_kubric_improved_aug.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/flownetc_kubric_step1200k.pth) | 3.57 | 3.96 | 12.11 | 36.35% |
- #### PWC-Net | [model config](./configs/models/pwcnet.yaml) | [arXiv](https://arxiv.org/abs/1709.02371)
| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |
|------------------|---------------------------------------------------------------------|-------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|
| Chairs | [config](./configs/trainers/pwcnet/pwcnet_chairs_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/pwcnet_chairs_step1200k.pth) | 3.5 | 4.73 | 17.81 | 51.76% |
| Chairs -> Things | [config](./configs/trainers/pwcnet/pwcnet_things_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/pwcnet_chairs_things_step2400k.pth)| 2.06 | 3.43 | 11.04 | 32.68% |
| Kubric | [config](./configs/trainers/pwcnet/pwcnet_kubric_improved_aug.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/pwcnet_kubric_step1200k.pth) | 3.08 | 3.31 | 9.83 | 21.94% |
- #### RAFT | [model config](./configs/models/raft.yaml) | [arXiv](https://arxiv.org/abs/2003.12039)
| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |
|------------------|-----------------------------------------------------------------|--------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|
| Chairs | [config](./configs/trainers/raft/raft_chairs_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/raft_chairs_step100k_v2.pth) | 2.23 | 4.56 | 10.45 | 38.93% |
| Chairs -> Things | [config](./configs/trainers/raft/raft_things_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/raft_chairs_things_step200k_v2.pth) | 1.66 | 2.75 | 5.01 | 16.87% |
| Kubric | [config](./configs/trainers/raft/raft_kubric_improved_aug.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/raft_kubric_step100k_v2.pth) | 2.12 | 2.54 | 6.01 | 17.35% |
___
#### Additional Information
- KITTI dataset has been evaluated with a center crop of size `1224 x 370`.
- FlowNetC and PWC-Net uses `padding` of size `64` for evaluating the KITTI2015 dataset.
- RAFT and DCVNet uses `padding` of size `8` for evaluating the Sintel and KITTI2015 datasets.
___
### References
- [RAFT](https://github.com/princeton-vl/RAFT)
- [DICL-Flow](https://github.com/jytime/DICL-Flow)
- [PWC-Net](https://github.com/NVlabs/PWC-Net)
- [FlowNetPytorch](https://github.com/ClementPinard/FlowNetPytorch)
- [VCN](https://github.com/gengshan-y/VCN)
- [detectron2](https://github.com/facebookresearch/detectron2)
- [CorrelationLayer](https://github.com/oblime/CorrelationLayer)
- [ptflow](https://github.com/hmorimitsu/ptlflow)
<br>
<footer>
<a target="_blank" href="https://icons8.com/icon/3Nj3FNnz36Id/pixels">Pixels</a> icon by <a target="_blank" href="https://icons8.com">Icons8</a>
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"description": "<p align=\"center\">\n <br>\n <img src=\"./docs/assets/logo.png\" height=\"60\" width=\"60\"/>\n <br>\n</p>\n\n<h1 align=\"center\">EzFlow</h1>\n<h3 align=\"center\">A modular PyTorch library for optical flow estimation using neural networks</h3>\n\n<div align='center'>\n\n[](https://github.com/neu-vig/ezflow/actions/workflows/package-test.yml)\n[](https://ezflow.readthedocs.io/en/latest/?badge=latest)\n[](https://pepy.tech/project/ezflow) \n\n<!-- [](https://github.com/neu-vig/ezflow/actions/workflows/linting.yml) -->\n<!-- [](https://github.com/neu-vig/ezflow/actions/workflows/codecov.yml) -->\n\n**[Documentation](https://ezflow.readthedocs.io/en/latest/)** | **[Tutorials](https://ezflow.readthedocs.io/en/latest/tutorials/index.html)**\n\n</div>\n\n\n## Installation\n\n### From source (recommended)\n\n```shell\n\ngit clone https://github.com/neu-vig/ezflow\ncd ezflow/\npython setup.py install\n\n```\n\n### From PyPI\n\n```shell\n\npip install ezflow\n\n```\n___\n\n### Models supported\n\n- [x] [DICL](https://arxiv.org/abs/2010.14851)\n- [x] [DCVNet](https://jianghz.me/files/DCVNet_camera_ready_wacv2023.pdf) ([1 checkpoint](./configs/README.md))\n- [x] [FlowNetS](https://arxiv.org/abs/1504.06852)\n- [x] [FlowNetC](https://arxiv.org/abs/1504.06852) ([3 checkpoints](./configs/README.md))\n- [x] [PWCNet](https://arxiv.org/abs/1709.02371) ([3 checkpoints](./configs/README.md)) \n- [x] [RAFT](https://arxiv.org/abs/2003.12039) ([3 checkpoints](./configs/README.md))\n- [x] [VCN](https://papers.nips.cc/paper/2019/hash/bbf94b34eb32268ada57a3be5062fe7d-Abstract.html)\n\n### Datasets supported\n\n- [x] [AutoFlow](https://autoflow-google.github.io/)\n- [x] [FlyingChairs](https://lmb.informatik.uni-freiburg.de/resources/datasets/FlyingChairs.en.html#flyingchairs)\n- [x] [HD1K](http://hci-benchmark.iwr.uni-heidelberg.de/)\n- [x] [KITTI](http://www.cvlibs.net/datasets/kitti/eval_scene_flow.php?benchmark=flow)\n- [x] [Kubric](https://github.com/google-research/kubric)\n- [x] [MPI Sintel](http://sintel.is.tue.mpg.de/)\n- [x] [SceneFlow Monkaa](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)\n- [x] [SceneFlow Driving](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)\n- [x] [SceneFlow FlyingThings3D](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)\n- [x] [SceneFlow FlyingThings3D subset](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)\n\n___\n\n### Results and Pre-trained checkpoints\n\n- #### DCVNet | [model config](./configs/models/dcvnet.yaml) | [paper](https://jianghz.me/files/DCVNet_camera_ready_wacv2023.pdf)\n| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |\n|-----------------------------------------|-------------------------------------------------------------------------|----------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|\n| FlyingThings3DSubset + Monkaa + Driving | [config](./configs/trainers/dcvnet/dcvnet_sceneflow_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/dcvnet_sceneflow_step800k.pth) | 1.90 | 3.35 | 4.75 | 23.41% |\n\n- #### FlowNetC | [model config](./configs/models/flownet_c.yaml) | [arXiv](https://arxiv.org/abs/1504.06852)\n\n| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |\n|------------------|-------------------------------------------------------------------------|----------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|\n| Chairs | [config](./configs/trainers/flownetc/flownetc_chairs_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/flownetc_chairs_step1200k.pth) | 3.41 | 4.94 | 14.84 | 54.23% |\n| Chairs -> Things | [config](./configs/trainers/flownetc/flownetc_things_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/flownetc_chairs_things_step1574k.pth) | 2.93 | 4.48 | 12.47 | 45.89% |\n| Kubric | [config](./configs/trainers/flownetc/flownetc_kubric_improved_aug.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/flownetc_kubric_step1200k.pth) | 3.57 | 3.96 | 12.11 | 36.35% |\n\n- #### PWC-Net | [model config](./configs/models/pwcnet.yaml) | [arXiv](https://arxiv.org/abs/1709.02371)\n\n| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |\n|------------------|---------------------------------------------------------------------|-------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|\n| Chairs | [config](./configs/trainers/pwcnet/pwcnet_chairs_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/pwcnet_chairs_step1200k.pth) | 3.5 | 4.73 | 17.81 | 51.76% |\n| Chairs -> Things | [config](./configs/trainers/pwcnet/pwcnet_things_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/pwcnet_chairs_things_step2400k.pth)| 2.06 | 3.43 | 11.04 | 32.68% |\n| Kubric | [config](./configs/trainers/pwcnet/pwcnet_kubric_improved_aug.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/pwcnet_kubric_step1200k.pth) | 3.08 | 3.31 | 9.83 | 21.94% |\n\n\n- #### RAFT | [model config](./configs/models/raft.yaml) | [arXiv](https://arxiv.org/abs/2003.12039)\n\n| Training Dataset | Training Config | ckpts | Sintel Clean (training) | Sintel Final(training)| KITTI2015 AEPE | KITTI2015 F1-all |\n|------------------|-----------------------------------------------------------------|--------------------------------------------------------------------------------------|-------------------------|-----------------------|----------------|------------------|\n| Chairs | [config](./configs/trainers/raft/raft_chairs_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/raft_chairs_step100k_v2.pth) | 2.23 | 4.56 | 10.45 | 38.93% |\n| Chairs -> Things | [config](./configs/trainers/raft/raft_things_baseline.yaml) | [download](https://jianghz.me/files/ezflow_ckpts/raft_chairs_things_step200k_v2.pth) | 1.66 | 2.75 | 5.01 | 16.87% |\n| Kubric | [config](./configs/trainers/raft/raft_kubric_improved_aug.yaml) | 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