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mkdir -p datasets/lfw/lfw_jpgs
tar
apt install imagemagick nano screen git -y
pip install Pillow
find lfw_raw -name "*.jpg" -print0 | xargs -0 mv -t lfw_jpgs
mogrify -resize 256x256! -colorspace sRGB -type truecolor lfw_jpgs/*.jpg
89iio2YaTkla
1 touch ~/.no_auto_tmu
2 exit
3 apt install screen nano git -Y
4 apt install screen nano git -y
5 mkdir -p work/3rdparty
6 cd work/3rdparty/
7 git clone https://github.com/tkarras/progressive_growing_of_gans
8 cd progressive_growing_of_gans/
9 mkdir -p datasets/lfw
10 cd datasets/lfw/
11 wget http://vis-www.cs.umass.edu/lfw/lfw.tgz
12 ls
13 mkdir lfw_jpgs
14 tar -zxf lfw.tgz --directory lfw_jpgs/
15 pip install Pillow
16 mv lfw_jpgs/ lfw_raw
17 mkdir -p datasets/lfw/lfw_jpgs
18 rm -r datasets/
19 mkdir lfw_jpgs
20 find lfw_raw -name "*.jpg" -print0 | xargs -0 mv -t lfw_jpgs
21 ls lfw_jpgs |wc -l
22 mogrify -resize 256x256! -colorspace sRGB -type truecolor lfw_jpgs/*.jpg
23 apt install imagemagick -y
24 nvcc -V
25 history |grep tou
26 exit
27 cd /work/3rdparty/progressive_growing_of_gans/datasets/
28 cd ~/work/3rdparty/progressive_growing_of_gans/datasets/
29 ls
30 cd lfw
31 mogrify -resize 256x256! -colorspace sRGB -type truecolor lfw_jpgs/*.jpg
32 ls
33 mkdir lfw_tfr
34 cd ../../
35 python dataset_tool.py create_from_images datasets/lfw/lfw_tfr/ datasets/lfw/lfw_jpgs/
36 python -V
37 which conda
38 wget https://repo.anaconda.com/archive/Anaconda3-2018.12-MacOSX-x86_64.sh
39 bash Anaconda3-2018.12-MacOSX-x86_64.sh
40 cd work/3rdparty/progressive_growing_of_gans/
41 ls
42 rm Anaconda3-2018.12-MacOSX-x86_64.sh
43 wget https://repo.anaconda.com/archive/Anaconda3-2018.12-Linux-x86_64.sh
44 bash Anaconda3-2018.12-Linux-x86_64.sh
45 conda create pgan
46 source ~/.bashrc
47 which conda
48 conda create pgan
49 conda create -n pgan python=3.6
50 conda activate pgan
51 pip install -r requirements-pip.txt
52 cd work/3rdparty/progressive_growing_of_gans/
53 ls
54 ls datasets
55 ls datasets/lfw
56 conda activate pgan
57 history
58 python dataset_tool.py create_from_images datasets/lfw/lfw_tfr/ datasets/lfw/lfw_jpgs/
59 nano config.py
60 screen -R train_lfw
61 watch -n1 nvidia-smi
62 nvidia-smi -i 0 -pl 250
63 sudo nvidia-smi -i 0 -pl 250
64 watch -n1 nvidia-smi
65 history
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