reconet-torch
This repository contains a PyTorch implementation of the ReCoNet paper. It use a lot of code from safwankdb
Contributors:
dataset
we use the MPI Sintel Dataset. The dataset contains flow fields, motion boundaries, unmatched regions, and image sequences. The image sequences are rendered with different levels of difficulty.
Train
python train.py --phase train --path mpidataset --style-name=style_images/vanGogh.jpg
video
python video_cv2.py --video-name 'avi/output_style.avi' --mode video_style --save-directory trained_models --model-name model.pth
nodes
You can use optim.Adam(), it results bubble artifacts in the following red boxes. I used optim.Adamax() in my code.