AruniRC

import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.ObjectInputStream;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;

AruniRC

% -------------------------------------------------------------------------
function info = traintest(opts, imdb, psi)
% -------------------------------------------------------------------------

% Train using verification or not
verificationTask = isfield(imdb, 'pairs');

if verificationTask,
    % Verification using SVMs (Jeff's idea).
    %   For each of the templates in IJB-A, we can train a one-vs-rest 

AruniRC

#!/usr/bin/python

import pandas as pd
import numpy as np
import random


FILENAME = '../data/scores_artificial_vs_real.csv'
N_FOLDS = 5

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

def _initialize_weights(self):
        for m in self.modules():
            if isinstance(m, nn.Conv2d):
                pass # leave the default PyTorch init
                # m.weight.data.zero_()
                # if m.bias is not None:
                #     m.bias.data.zero_()
            if isinstance(m, nn.ConvTranspose2d):
                assert m.kernel_size[0] == m.kernel_size[1]
                initial_weight = get_upsampling_weight(

AruniRC

n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat

AruniRC

# Example code to demonstrate parallel for loop implementation using joblib
from joblib import Parallel, delayed
import multiprocessing

# Vars
my_list = range(10)
squares = []

# Function to parallelize
def find_square(i):

AruniRC

Getting docker running on CentOS server

   sudo systemctl start docker
   sudo systemctl status docker
   sudo systemctl enable docker
   sudo usermod -aG docker $(whoami)

AruniRC

 
# Displays a set of images in a particular format in an HTML page
# Can be easily modified for custom use-cases, especially visualizing experiment results.
#
#   Consider image existing in the following folder structure:
#   DATA_PATH
#       image01.jpg
#       	im_det0.jpg
#       	im_det1.jpg
#       	im_det2.jpg ...

AruniRC

http://nicodjimenez.github.io/boxLabel/annotate.html