https://github.com/stardustdl/movie2comic
A tool to transfer movie into comics by keyframe extracting, voice recognition and style transfer techniques.
https://github.com/stardustdl/movie2comic
comics style-transfer transfer-movie voice-recognition
Last synced: 11 months ago
JSON representation
A tool to transfer movie into comics by keyframe extracting, voice recognition and style transfer techniques.
- Host: GitHub
- URL: https://github.com/stardustdl/movie2comic
- Owner: StardustDL
- License: mpl-2.0
- Created: 2020-12-11T03:01:10.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-02T19:01:16.000Z (over 3 years ago)
- Last Synced: 2024-04-28T01:20:28.627Z (about 2 years ago)
- Topics: comics, style-transfer, transfer-movie, voice-recognition
- Language: Python
- Homepage:
- Size: 5.48 MB
- Stars: 21
- Watchers: 2
- Forks: 4
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README

    
A tool to transfer movie into comics by keyframe extracting, voice recognition and style transfer techniques.

## Usage
1. Use Docker images [stardustdl/movie2comic](https://hub.docker.com/r/stardustdl/movie2comic).
> Docker image mirror: registry.cn-hangzhou.aliyuncs.com/stardustdl/movie2comic
```sh
docker-compose up
```
1. Visit `http://localhost:5000`.
## Dependencies
- [Vue 3](https://github.com/vuejs/vue-next)
- [Flask](https://flask.palletsprojects.com/en/1.1.x/)
- [ffmpeg](http://ffmpeg.org/)
- [pocketsphinx](http://cmusphinx.sourceforge.net/)
- [Pillow](https://github.com/python-pillow/Pillow)
- [pydub](https://github.com/jiaaro/pydub)
### Deep Learning Engine
- [White-box-Cartoonization](./backend/m2c/styles/white_box_cartoonization/README.md) Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”. Licensed under the CC BY-NC-SA 4.0.
- [DeepSpeech](https://github.com/mozilla/DeepSpeech) DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. Licensed under the MPL-2.0.
## Thanks
In 2019, Rivers-Shall, Forewing and I (StardustDL) came up with this idea after discussion, and we wrote a much simpler demo than this. Thesedays (2020), I re-implement this idea by myself and that is this project.