Learning Optical Flow from a Few Matches (CVPR 2021)

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Deep Learning SCV
Overview

Learning Optical Flow from a Few Matches

This repository contains the source code for our paper:

Learning Optical Flow from a Few Matches
CVPR 2021
Shihao Jiang, Yao Lu, Hongdong Li, Richard Hartley
ANU

Requirements

The code has been tested with PyTorch 1.6 and Cuda 10.1.

conda create --name scv
conda activate scv
conda install pytorch=1.6.0 torchvision=0.7.0 cudatoolkit=10.1 matplotlib tensorboard scipy opencv -c pytorch
pip install faiss-gpu

Required Data

To evaluate/train SCV, you will need to download the required datasets.

By default datasets.py will search for the datasets in these locations. You can create symbolic links to wherever the datasets were downloaded in the datasets folder

├── datasets
    ├── Sintel
        ├── test
        ├── training
    ├── KITTI
        ├── testing
        ├── training
        ├── devkit
    ├── FlyingChairs_release
        ├── data
    ├── FlyingThings3D
        ├── frames_cleanpass
        ├── frames_finalpass
        ├── optical_flow

Evaluation

You can evaluate a trained model using evaluate.py

python evaluate.py --model=checkpoints/quarter/scv-chairs.pth --dataset=chairs

Training

We used the following training schedule in our paper (2 GPUs).

./train.sh

License

WTFPL. See LICENSE file.

Acknowledgement

The overall code framework is adapted from RAFT. We thank the authors for the contribution.

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Comments
  • Possible colab notebook?

    Possible colab notebook?

    Thank you for making this fantastic research available! Would you consider making a google colab notebook for the less technically inclined like myself to try out?

    opened by noobtoob4lyfe 1
  • about demo

    about demo

    Thank you very much for your contribution. When can you provide a demo file like RAFT's that visualizations the optical flow generated by the algorithm

    opened by suzhansz 0
  • time

    time

    Thank you for making this fantastic research available! I have a question about timeconsuming. Have you measured the time on the 2080TI?
    How many frame rates can be achieved at a certain size？

    opened by plateau1 0
Owner
Shihao Jiang (Zac)
PhD Student at Australian National University
Shihao Jiang (Zac)
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