DeepFaceLab/doc/doc_features.md
2019-02-11 21:46:51 +04:00

27 lines
848 B
Markdown

### **Features**:
- standalone zero dependencies ready to work prebuilt binary for all windows versions, see below
- new models
- new architecture, easy to experiment with models
- face data embedded to JPG files
- cpu mode. 8th gen Intel core CPU able to train H64 model in 2 days.
- new preview window
- extractor in parallel
- converter in parallel
- **--debug** option for all stages
- **MTCNN extractor** which produce less jittered aligned face than DLIBCNN, but can produce more false faces. Comparison dlib (at left) vs mtcnn on hard case:
![](https://i.imgur.com/5qLiiOV.gif)
MTCNN produces less jitter.
- **Manual extractor**. You can fix missed faces manually or do full manual extract:
![](manual_extractor_0.jpg)
![Result](https://user-images.githubusercontent.com/8076202/38454756-0fa7a86c-3a7e-11e8-9065-182b4a8a7a43.gif)