AruniRC

{0: u'__background__',
 1: u'person',
 2: u'bicycle',
 3: u'car',
 4: u'motorcycle',
 5: u'airplane',
 6: u'bus',
 7: u'train',
 8: u'truck',
 9: u'boat',

AruniRC

from __future__ import division
import scipy.optimize
import numpy as np

def bbox_iou(boxA, boxB):
  # https://www.pyimagesearch.com/2016/11/07/intersection-over-union-iou-for-object-detection/
  # ^^ corrected.
    
  # Determine the (x, y)-coordinates of the intersection rectangle
  xA = max(boxA[0], boxB[0])

AruniRC

HANDY ONE-LINE SCRIPTS FOR AWK                               30 April 2008
Compiled by Eric Pement - eric [at] pement.org               version 0.27

Latest version of this file (in English) is usually at:
   http://www.pement.org/awk/awk1line.txt

This file will also be available in other languages:
   Chinese  - http://ximix.org/translation/awk1line_zh-CN.txt   

USAGE:

AruniRC

#!/usr/bin/env bash
#Check Files in list from file exist or doesn't exist in directory.

if [ $# -eq 0 ] || [ $# -eq 1 ]
  then
    echo "You must pass the path to file with the list and the path to directory to check files. \nsh check-file-exist-from-list.sh path/to/file path/to/directory"
    exit 1
fi

while read -r file; do

AruniRC

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import argparse
import h5py
import json
import os
import scipy.misc

AruniRC

# saliency
sal = cluster_saliency[cluster_label] # [ (grad-norm, grad-max)
grad_max = sal[1] / max(sal[1])


feat_vertices = features[cluster_ids, :]
adj_mat = get_adjmat(feat_vertices, is_norm_adj=False)
adj_mat_normed = get_adjmat(feat_vertices, is_norm_adj=True)

# create networkx graph from adjacency matrix

AruniRC

'''
  Sometimes it is useful to know the total number of video frames before starting to iterate. 
  This is not possible using the default video reader in Sk-video.
  The snippet below shows how to do this using the FFMPEG reader instead.
'''

if osp.exists(video_path):
    vid_reader = skvideo.io.FFmpegReader(video_path) # NOTE: not the standard skvideo.io.vreader
else:
    raise IOError('Path to video not found: \n%s' % video_path)

AruniRC

export PS1="\[\033[36m\]\u\[\033[m\]@\[\033[32m\]\h:\[\033[33;1m\]\w\[\033[m\]\n\$ "
export CLICOLOR=1
export LSCOLORS=ExFxBxDxCxegedabagacad

# User defined aliases
alias ls='ls -GFh'

# Mounting remote drives (create folder manually first under ~/Mount/remote-name)
alias mount-fisher='sshfs arunirc@fisher.cs.umass.edu:/ ~/Mount/fisher -o volname=fisher'

AruniRC

import os
import sys
import pickle
import json
import numpy as np
import sys
import matplotlib 
matplotlib.use('Agg')
from matplotlib import pyplot as plt
import os.path as osp

AruniRC

force_color_prompt=yes

if [ -n "$force_color_prompt" ]; then
    if [ -x /usr/bin/tput ] && tput setaf 1 >&/dev/null; then
        # We have color support; assume it's compliant with Ecma-48
        # (ISO/IEC-6429). (Lack of such support is extremely rare, and such
        # a case would tend to support setf rather than setaf.)
        color_prompt=yes
    else
        color_prompt=yes=no