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Clean language up docs (#147)

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* clean up docs

* doc fixes as requested

* revert updates to sort tool documentation
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TooMuchFun 2019-02-15 08:06:13 -08:00 • committed by iperov
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doc/doc_features.md
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### **Features**:
- standalone zero dependencies ready to work prebuilt binary for all windows versions, see below
- Windows binary containing pre-compiled dependencies, including CUDA libraries.
- new models
- New models expanding upon the original faceswap model.
- new architecture, easy to experiment with models
- Model architecture designed with experimentation in mind.
- face data embedded to JPG files
- Face metadata embedded into extracted JPG files.
- cpu mode. 8th gen Intel core CPU able to train H64 model in 2 days.
- CPU-only mode [`--cpu-mode`]. 8th gen Intel core CPU able to train H64 model in 2 days.
- new preview window
- Preview window
- extractor in parallel
- Extractor and Converter run in parallel.
- converter in parallel
- Debug mode option for all stages: [`--debug`]
- **--debug** option for all stages
- Multiple extraction modes: MTCNN, dlib, or manual.
- **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:
#### Extractor Examples
##### MTCNN
Predicts faces more uniformly than dlib, resulting in a less jittered aligned output. However, MTCNN extraction will produce more false positives.
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**
A manual extractor is available. This extractor uses the preview GUI to allow the user to properly align detected faces.
![](manual_extractor_0.jpg)
This mode can also be used to fix incorrectly extracted faces. Manual extraction can be used to greatly improve training on face sets that are heavily obstructed.
![Result](https://user-images.githubusercontent.com/8076202/38454756-0fa7a86c-3a7e-11e8-9065-182b4a8a7a43.gif)