Thimira

'''
Using Bottleneck Features for Multi-Class Classification in Keras

We use this technique to build powerful (high accuracy without overfitting) Image Classification systems with small
amount of training data.

The full tutorial to get this code working can be found at the "Codes of Interest" Blog at the following link,
https://www.codesofinterest.com/2017/08/bottleneck-features-multi-class-classification-keras.html

Please go through the tutorial before attempting to run this code, as it explains how to setup your training data.

BretFisher

# first install pygmentize to the mac OS X or macOS system with the built-in python
sudo easy_install Pygments

# then add alias to your ~/.bash_profile or ~/.bashrc or ~/.zshrc etc.
alias pcat='pygmentize -f terminal256 -O style=native -g'

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

apaszke

from graphviz import Digraph
import torch
from torch.autograd import Variable, Function

def iter_graph(root, callback):
    queue = [root]
    seen = set()
    while queue:
        fn = queue.pop()
        if fn in seen:

kylehounslow

from __future__ import print_function
import requests
import json
import cv2

addr = 'http://localhost:5000'
test_url = addr + '/api/test'

# prepare headers for http request
content_type = 'image/jpeg'

andrewschreiber

#!/bin/sh
# See video https://www.youtube.com/watch?v=7PO27i2lEOs

set -e


command_exists () {
    type "$1" &> /dev/null ;
}

jcavat

FROM php:7.1.2-apache 
RUN docker-php-ext-install mysqli

guycalledseven

# after appcleaner does his magic, do this

sudo rm -rf "/Library/Application Support/Paragon Software/"
sudo rm /Library/LaunchDaemons/com.paragon-software.installer.plist
sudo rm /Library/LaunchDaemons/com.paragon-software.ntfs.loader.plist
sudo rm /Library/LaunchDaemons/com.paragon-software.ntfsd.plist
sudo rm /Library/LaunchAgents/com.paragon-software.ntfs.notification-agent.plist
sudo rm -rf /Library/Filesystems/ufsd_NTFS.fs/
sudo rm -rf /Library/PrivilegedHelperTools/com.paragon-software.installer
sudo rm -rf /Library/Extensions/ufsd_NTFS.kext/

rokon12

import org.junit.Test;

import java.util.HashMap;
import java.util.Map;

public class MapInSideMap {

	@Test
	public void testMap() {
		Map<String, String> map = new HashMap<>();

101v

# View registry settings
Get-ItemProperty HKLM:\SYSTEM\CurrentControlSet\Enum\HID\*\*\Device` Parameters FlipFlopWheel -EA 0

# Change registry settings
# Reverse mouse wheel scroll FlipFlopWheel = 1 
# Normal mouse wheel scroll FlipFlopWheel = 0 
Get-ItemProperty HKLM:\SYSTEM\CurrentControlSet\Enum\HID\*\*\Device` Parameters FlipFlopWheel -EA 0 | ForEach-Object { Set-ItemProperty $_.PSPath FlipFlopWheel 1 }

# Restore default scroll direction
# Get-ItemProperty HKLM:\SYSTEM\CurrentControlSet\Enum\HID\*\*\Device` Parameters FlipFlopWheel -EA 1 | ForEach-Object { Set-ItemProperty $_.PSPath FlipFlopWheel 0 }