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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_build_and_repository_info.md
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### **CPU only mode**
## Build and Repository Info
CPU mode enabled by arg --cpu-only for all stages. Follow requirements-cpu.txt to install req packages.
Do not use DLIB extractor in CPU mode, it's too slow.
Only H64 or SAE (with low settings) models reasonable to train on home CPU.
DeepFaceLab officially supports Windows-only. If you want to support Mac/Linux/Docker - create a fork, it will be referenced here.
### **Build info**
dlib==19.10.0 from pip compiled without CUDA. Therefore you have to compile DLIB manually, orelse use MT extractor only.
#### **Installing dlib on Windows**
Command line example for windows: `python setup.py install -G "Visual Studio 14 2015" --yes DLIB_USE_CUDA`
The version of `dlib` in pip is compiled without CUDA support. Therefore you have to compile it manually in order to use the `dlib` face extractor.
### Mac/linux/docker script support.
Command line example for Windows: `python setup.py install -G "Visual Studio 14 2015" --yes DLIB_USE_CUDA`
If you want to support mac/linux/docker - create fork, it will be referenced here.
#### **CPU mode**
It is possible to run from script for all stages using the `--cpu-only` flag. To run from script, install the separate dependencies for CPU mode using `pip -r requirements-cpu.txt`.
Please note that extraction and training will take much long without a GPU and performance will greatly suffer without one. In particular, do not use DLIB extractor in CPU mode, it's too slow to run without a GPU. Train only on 64px resolution models like H64 or SAE (with low settings) and the lightweight encoder.