reconet-torch

KO | EN

gitlite — search

#python #java #python3 #arduino #golang #machine-learning #rust #html #flask #javascript #seismology #nodejs

★ 12 Open GitHub ↗

No description available.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# reconet-torch
This repository contains a PyTorch implementation of the [ReCoNet paper](https://arxiv.org/pdf/1807.01197.pdf). It use a lot of code from [safwankdb](https://github.com/safwankdb/ReCoNet-PyTorch)

### Contributors:
- [Mohd Safwan](https://github.com/safwankdb)
- [Kushagra Juneja](https://github.com/kushagra1729)
- [Saksham Khandelwal](https://github.com/skq024)
- [safwankdb](https://github.com/safwankdb)

[![Watch the video](https://raw.githubusercontent.com/liulai/reconet-torch/master/videos/shanmen2.png)](videos/output_shaman_1_concat01_10.avi)

## dataset
we use the [MPI Sintel Dataset](http://files.is.tue.mpg.de/sintel/MPI-Sintel-complete.zip). The dataset contains flow fields, motion boundaries, unmatched regions, and image sequences. The image sequences are rendered with different levels of difficulty.

# Train

```bash
python train.py --phase train --path mpidataset --style-name=style_images/vanGogh.jpg
```

# video

```bash
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.

reconet-torch

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README