dalgu90

(http://www.alexeyshmalko.com/2014/youcompleteme-ultimate-autocomplete-plugin-for-vim/ 따라서 완전히 그대로 해도 될 것 같긴 하지만)

1. ~/.vim/plugins.vim 에
Plug 'Valloric/YouCompleteMe'
라인 추가

2. vim +PlugInstall

3. cd ~/.vim/plugged/YouCompleteMe
./install.sh --clang-completer

dalgu90

    # Apply proximal gradient for the variables with l1 lasso loss
    # Non-negative weights constraint
    if L1_LOSS_WEIGHT > 0:
      for var in tf.get_collection(utils.LASSO_KEY):
        th_t = tf.fill(tf.shape(var), tf.convert_to_tensor(L1_LOSS_WEIGHT) * lr)
        zero_t = tf.zeros(tf.shape(var))
        var_temp = var - th_t * tf.sign(var)
        assign_op = var.assign(tf.select(tf.less(tf.abs(var), th_t), zero_t, var_temp))
        l1_op_list.append(assign_op)
        print('\tL1 loss added: %s(strength: %f)' % (var.name, L1_LOSS_WEIGHT))

dalgu90

#!/usr/bin/env python

from PIL import Image
import os

# image_root = '/nas/dataset/ILSVRC2012/train/'
image_root = '/data/common_datasets/ILSVRC2012/train/'

cmyk_img_subpaths = ["n01739381/n01739381_1309.JPEG"
                    ,"n02077923/n02077923_14822.JPEG"

dalgu90

import os
import argparse
import re
import numpy as np

parser = argparse.ArgumentParser()
parser.add_argument("--root_dir", help="The uppermost directory to clean up")
parser.add_argument("--ckpt_type", help="Ckpt type(tensorflow, caffe)")
args = parser.parse_args()

dalgu90

from __future__ import print_function
import sys
import os
import re

argv = sys.argv[1:]

if not argv:
    sys.stderr.write('Usage: python check_dataset_valid.py [IMAGE_ROOT] [OUTPUT_FNAME]\n')
    sys.exit(1)

dalgu90

import sys
CAFFE_ROOT = '../../'
sys.path.insert(0, CAFFE_ROOT + 'python/')
import caffe
import numpy as np

if len(sys.argv) != 3:
    print "Usage: python protomean_to_npy.py proto.mean out.npy"
    sys.exit()

dalgu90

#!/bin/usr/env python
# Usage: python pdf_even_page.py

import os
import PyPDF2
import re


def make_even_page(in_fpath, out_fpath):
    reader = PyPDF2.PdfFileReader(in_fpath)

dalgu90

#!/usr/bin/env python

import sys
import tensorflow as tf
import numpy as np

if len(sys.argv) == 2:
    ckpt_fpath = sys.argv[1]
else:
    print('Usage: python count_ckpt_param.py path-to-ckpt')

dalgu90

#!/bin/sh
PREFIX="$HOME/.local/"

install_tree() {
    # The project page of linux "tree" command is located at http://mama.indstate.edu/users/ice/tree
    TMP_TREE_DIR="/tmp/$USER/tree"; mkdir -p $TMP_TREE_DIR

    wget -nc -O $TMP_TREE_DIR/tree.tgz "http://mama.indstate.edu/users/ice/tree/src/tree-1.7.0.tgz"
    tar -xvzf $TMP_TREE_DIR/tree.tgz -C $TMP_TREE_DIR --strip-components 1

dalgu90

#!/bin/sh
PREFIX="$HOME/.local/"

install_ctags() {
    # The project page of linux "ctags" command is located at http://ctags.sourceforge.net/
    TMP_CTAGS_DIR="/tmp/$USER/ctags"; mkdir -p $TMP_CTAGS_DIR

    wget -nc -O $TMP_CTAGS_DIR/ctags.tar.gz "http://prdownloads.sourceforge.net/ctags/ctags-5.8.tar.gz"
    tar -xvzf $TMP_CTAGS_DIR/ctags.tar.gz -C $TMP_CTAGS_DIR --strip-components 1