Real-Time Selfie Video Stabilization
This is the code for the paper "Real-Time Selfie Video Stabilization", CVPR 2021
Note 1: We are still working on building this repository, uploading training data and cleaning up training code. Please stay tuned for more updates. Meanwhile, please find the raw videos and detected masks used in the training. If you would like to try out the training code, please use the temporary minimal training code.
Note 2: To use this code, you need to compile opencv-python from source with cuda and python support.
Quick Start
- Download pretrained weights at pretrained weights
- Unzip the pretrained weights package. There are 5 files listed below:
- 1.avi : an example video for demo
- checkpt_fcn.pt : pretrained weight for the foreground/background segmentation
- checkpt_stabnet.pt : pretrained weight for the selfie video stabilization network
- default_face.npy : a default neutral pose 3D face in case no face is found in the frame
- shape_predictor_68_face_landmarks.dat : used by the face landmark detector
- Put "1.avi" under './example'
- Put "checkpt_fcn.pt", "checkpt_stabnet.pt" and "default_face.npy" under './'
- Put "shape_predictor_68_face_landmarks.dat" under "./landmark_detection"
- Run "main.py", the stabilized result can be found in './result'
The 26 example selfie videos can be downloaded at example videos
Dataset
The authors are still working on making the dataset fully public, due to the difficulty of uploading the oversized detected feature points and face vertices. While we are resovling the issues, we first make the raw videos and detected masks available at Selfie_Video_Dataset. We will update the follow-up data to this folder.
Training Code
The training code is being cleaning up. In the meantime, please use the minimal training code with feature point/ head vertices data from the first 30 videos in our dataset. The code is available at SelfieVideo_MinimalTraining. Please stay tuned for more data and training code.
Reference
If you find our work useful, please cite our paper:
@InProceedings{Selfie21,
author = "Jiyang Yu and Ravi Ramamoorthi and Keli Cheng and Michel Sarkis and Ning Bi",
title = "Real-Time Selfie Video Stabilization",
booktitle = "IEEE Conference on Computer Vision and Pattern Recognition (CVPR)",
month = "Jun",
year = "2021"
}