Clean language up docs (#147)

* clean up docs

* doc fixes as requested

* revert updates to sort tool documentation

doc/doc_build_and_repository_info.md

@@ -1,15 +1,16 @@
-### **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.
+DeepFaceLab officially supports Windows-only. If you want to support Mac/Linux/Docker - create a fork, it will be referenced here.
-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.
 
-### **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.

doc/doc_features.md

@@ -1,27 +1,39 @@
 ### **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)
+

doc/doc_prebuilt_windows_app.md

@@ -1,15 +1,16 @@
-### Prebuilt windows app:
+### **Prebuilt Windows Releases**
 
-Windows 7,8,8.1,10 zero dependency (just install/update your GeForce Drivers) prebuilt DeepFaceLab (include GPU and CPU versions) can be downloaded from 
+Windows builds with all dependencies included are released regularly. Only the NVIDIA GeForce display driver needs to be installed. Prebuilt DeepFaceLab, including GPU and CPU versions, can be downloaded from [Mega](https://mega.nz/#F!b9MzCK4B!zEAG9txu7uaRUjXz9PtBqg) or [BitTorrent](https://rutracker.org/forum/viewtopic.php?p=75318742)  (magnet link inside).
-1) torrent https://rutracker.org/forum/viewtopic.php?p=75318742 (magnet link inside).
-2) https://mega.nz/#F!b9MzCK4B!zEAG9txu7uaRUjXz9PtBqg
 
-### Video tutorials for prebuilt windows app:
 
-Basic workflow: https://www.youtube.com/watch?v=K98nTNjXkq8
 
-Basic workflow (derpfakes): https://www.youtube.com/watch?v=cVcyghhmQSA
 
-How To Make DeepFakes With DeepFaceLab - An Amatuer's Guide: https://www.youtube.com/watch?v=wBax7_UWXvc
+#### Video tutorials using prebuilt windows app
 
-Manual re-extract bad dst aligned frames: https://www.youtube.com/watch?v=7z1ykVVCHhM
+* [Basic workflow](https://www.youtube.com/watch?v=K98nTNjXkq8)
+
+* [Basic workflow (thanks @derpfakes)](https://www.youtube.com/watch?v=cVcyghhmQSA)
+
+* [How To Make DeepFakes With DeepFaceLab - An Amatuer's Guide](https://www.youtube.com/watch?v=wBax7_UWXvc)
+
+* [Manual re-extract poorly aligned frames](https://www.youtube.com/watch?v=7z1ykVVCHhM)

doc/doc_ready_to_work_facesets.md

@@ -1,4 +1,6 @@
-### **Ready to work facesets**:
+### **Example Face Sets**:
+
+Faces sets for the following have been pre-extracted,
 
 - Nicolas Cage
 - Steve Jobs
@@ -6,4 +8,4 @@
 - Elon Musk
 - Harrison Ford
 
-download from https://mega.nz/#F!y1ERHDaL!PPwg01PQZk0FhWLVo5_MaQ
+[Download from Mega](https://mega.nz/#F!y1ERHDaL!PPwg01PQZk0FhWLVo5_MaQ)