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Merge pull request #11 from mrsmith0x00/linux

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GNU/Linux installation instructions and helpful bash script
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## **GNU/Linux installation instructions**
**!!! FFmpeg and NVIDIA Driver shall be already installed !!!**
First of all, i strongly recommend to install Anaconda, that it was convenient to work with DeepFaceLab.
Official instruction: https://docs.anaconda.com/anaconda/install/linux
After, you can create environment with packages, needed by DeepFaceLab:
```
conda create -y -n deepfacelab python==3.6.6 pathlib==1.0.1 scandir h5py==2.7.1 Keras==2.1.6 tensorflow-gpu==1.8.0 scikit-image tqdm
```
Then activate environment:
```
source activate deepfacelab
```
And install the remained packages:
```
conda install -y -c conda-forge opencv==3.4.1
pip install dlib==19.10.0 git+https://www.github.com/keras-team/keras-contrib.git
```
Now clone the repository and run... Good luck ;-)
```
git clone https://github.com/iperov/DeepFaceLab
cd DeepFaceLab && chmod +x main.sh && ./main.sh
```
**NOTE !!! Before launching DeepFaceLab, you should convince in that you already executed "source activate deepfacelab" !!!**
P.S. English is not my native language, so please be kind to my mistakes.

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#!/bin/bash
INTERNAL_DIR=`pwd`
WORKSPACE=$INTERNAL_DIR/workspace
PYTHON=`which python`
PS3="Please enter your choice: "
options=("clear workspace" "extract PNG from video data_src" "data_src extract faces" "data_src sort" "extract PNG from video data_dst" "data_dst extract faces" "data_dst sort by hist" "train" "convert" "converted to mp4" "quit")
select opt in "${options[@]}"
do
case $opt in
"clear workspace" )
echo -n "Clean up workspace? [Y/n] "; read workspace_ans
if [ "$workspace_ans" == "Y" ] || [ "$workspace_ans" == "y" ]; then
rm -rf $WORKSPACE
mkdir -p $WORKSPACE/data_src/aligned
mkdir -p $WORKSPACE/data_dst/aligned
mkdir -p $WORKSPACE/model
echo "Workspace has been successfully cleaned!"
fi
;;
"extract PNG from video data_src" )
echo -n "File name: "; read filename
echo -n "FPS: "; read fps
if [ -z "$fps" ]; then fps="25"; fi
ffmpeg -i $WORKSPACE/$filename -r $fps $WORKSPACE/data_src/%04d.png -loglevel error
;;
"data_src extract faces" )
echo -n "Detector? [dlib | mt | manual] "; read detector
echo -n "Multi-GPU? [Y/n] "; read gpu_ans
if [ "$gpu_ans" == "Y" ] || [ "$gpu_ans" == "y" ]; then gpu_ans="--multi-gpu"; else gpu_ans=""; fi
$PYTHON $INTERNAL_DIR/main.py extract --input-dir $WORKSPACE/data_src --output-dir $WORKSPACE/data_src/aligned --detector $detector $gpu_ans --debug
;;
"data_src sort" )
echo -n "Sort by? [blur | brightness | face-yaw | hue | hist | hist-blur | hist-dissim] "; read sort_method
$PYTHON $INTERNAL_DIR/main.py sort --input-dir $WORKSPACE/data_src/aligned --by $sort_method
;;
"extract PNG from video data_dst" )
echo -n "File name: "; read filename
echo -n "FPS: "; read fps
if [ -z "$fps" ]; then fps="25"; fi
ffmpeg -i $WORKSPACE/$filename -r $fps $WORKSPACE/data_dst/%04d.png -loglevel error
;;
"data_dst extract faces" )
echo -n "Detector? [dlib | mt | manual] "; read detector
echo -n "Multi-GPU? [Y/n] "; read gpu_ans
if [ "$gpu_ans" == "Y" ] || [ "$gpu_ans" == "y" ]; then gpu_ans="--multi-gpu"; else gpu_ans=""; fi
$PYTHON $INTERNAL_DIR/main.py extract --input-dir $WORKSPACE/data_dst --output-dir $WORKSPACE/data_dst/aligned --detector $detector $gpu_ans --debug
;;
"data_dst sort by hist" )
$PYTHON $INTERNAL_DIR/main.py sort --input-dir $WORKSPACE/data_dst/aligned --by hist
;;
"train" )
echo -n "Model? [ H64 (2GB+) | H128 (3GB+) | DF (5GB+) | LIAEF128 (5GB+) | LIAEF128YAW (5GB+) | MIAEF128 (5GB+) | AVATAR (4GB+) ] "; read model
echo -n "Multi-GPU? [Y/n] "; read gpu_ans
if [ "$gpu_ans" == "Y" ] || [ "$gpu_ans" == "y" ]; then gpu_ans="--multi-gpu"; else gpu_ans=""; fi
$PYTHON $INTERNAL_DIR/main.py train --training-data-src-dir $WORKSPACE/data_src/aligned --training-data-dst-dir $WORKSPACE/data_dst/aligned --model-dir $WORKSPACE/model --model $model $gpu_ans
;;
"convert" )
echo -n "Model? [ H64 (2GB+) | H128 (3GB+) | DF (5GB+) | LIAEF128 (5GB+) | LIAEF128YAW (5GB+) | MIAEF128 (5GB+) | AVATAR(4GB+) ] "; read model
$PYTHON $INTERNAL_DIR/main.py convert --input-dir $WORKSPACE/data_dst --output-dir $WORKSPACE/data_dst/merged --aligned-dir $WORKSPACE/data_dst/aligned --model-dir $WORKSPACE/model --model $model --ask-for-params
;;
"converted to mp4" )
echo -n "File name of destination video: "; read filename
echo -n "FPS: "; read fps
if [ -z "$fps" ]; then fps="25"; fi
ffmpeg -y -i $WORKSPACE/$filename -r $fps -i "$WORKSPACE/data_dst/merged/%04d.png" -map 0:a? -map 1:v -r $fps -c:v libx264 -b:v 8M -pix_fmt yuv420p -c:a aac -b:a 192k -ar 48000 "$WORKSPACE/result.mp4" -loglevel error
;;
"quit" )
break
;;
*)
echo "Invalid choice!"
;;
esac
done