pppoe

output_root = 'extracted';
mkdir(output_root);
num_lms = 68;

lines = textread('flist', '%s');
num_lines = length(lines);

for ff = 1:num_lines

    fpath = lines{ff};

pppoe

#! /bin/bash
sudo apt-get update
sudo apt-get install openbox tmux cmake vim git suckless-tools
git clone --recursive https://github.com/pppoe/Vim-Bash-Configuration
~/Vim-Bash-Configuration/make_symbolic_links.sh  ~/Vim-Bash-Configuration/
sudo apt-get remove resolvconf update-manager network-manager
sudo apt-get install openssh-server 
sudo apt-get install libudev-dev libusb-1.0-0-dev

# ROS

pppoe

## put this into ~/Tensorflow/setup.sh settings are for Mac/CPU python3.5 by default, after installation, use $tf to load the env vars

#! /bin/bash

RootDir=$PWD/Tensorflow/

## Modify this line to install a different version of anaconda
AnacondaURL="https://repo.continuum.io/archive/Anaconda3-4.2.0-MacOSX-x86_64.sh"

## Modify this line to install a specific version of tensorflow

pppoe

#! /bin/bash

docker build --build-arg UID=$(id -u) --build-arg GID=$(id -g) --build-arg UNAME=$USER\
      -t hxli .

#! /bin/bash
docker ps -aq -f status=exited | xargs  docker rm


#! /bin/bash

pppoe

import numpy as np
import cv2
import random

I = cv2.imread('image.png')
mask = np.load('mask.npy')
mask = (mask[:,:,0] > 0) # True / False binary matrix 
visI = np.zeros_like(I)

def sample_prompt_pts(mask, h_resol=128, w_resol=128, max_pts=128, K = 20):