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 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

#!/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

    # 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

(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