Divij Sehgal SehgalDivij

## ffmpeg_install.md

      
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                SehgalDivij
                / ffmpeg_install.md
            
            
              Created
              January 8, 2019 21:18
                — forked from jmsaavedra/ffmpeg_install.md
            
              
                Install FFmpeg on a Linux Box
              
          
    ###Install FFmpeg via CLI on Linux box

These steps walk through installing a static binary of any ffmpeg version on to your linux machine. If you want to compile from source, there are several ways to do so. Here's the official guide.
Tested and works on an AWS EC2 Ubuntu instance, but should work on any Linux machine.
#####http://ffmpeg.org


SSH into your instance and become root


## Dockerfile
FROM python:2.7
ENV PYTHONUNBUFFERED 1
RUN mkdir /config
ADD /requirements.txt /config/
RUN pip install -r config/requirements.txt;
RUN mkdir /src;
# Create Log Directories
RUN mkdir /logs;
RUN mkdir /logs/rest_api;
# Create Log File Placeholders: dev and prod.

## config.xml
<!--
To use this configuration, do the following:
  1. Create a Jenkins Project.
  2. Go to the root directory of the configuration. (Linux - /var/lib/jenkins/jobs/<project name>/)
  3. Replace the contents of the config.xml file with the contents of this gist, keeping whatever you need and replacing whatever you want to replace.
This should reflect the new configuration in the Jenkins configure section, if the configuration file is valid after copying.
-->

<?xml version="1.0" encoding="UTF-8"?>
<project>

## MultiLabelColumnEncoder.py
"""
This snippet is not mine. It has simply been taken from a StackOverflow Answer by PriceHardman in the following link.
(Scroll one answer up from the answer this link takes you to)
https://stackoverflow.com/questions/24458645/label-encoding-across-multiple-columns-in-scikit-learn#31939145

To future me and anyone who comes across this:
- Run this on the entire dataset before splitting the dataset for consistency in the encodings.
"""

from sklearn.preprocessing import LabelEncoder

## workbook_to_dictionary.py
import xlrd
def make_json_from_data(column_names, row_data):
    """
    take column names and row info and merge into a single json object.
    :param data:
    :param json:
    :return:
    """
    row_list = []
    for item in row_data:

## find_dependents.sh
for i in $(docker images -q)
do
    docker history $i | grep -q f50f9524513f && echo $i
done | sort -u

## middleware.py
"""
Middleware to log all requests and responses.
Uses a logger configured by the name of django.request
to log all requests and responses according to configuration
specified for django.request.
"""
# import json
import logging
from django.utils.deprecation import MiddlewareMixin
	FROM python:2.7
	ENV PYTHONUNBUFFERED 1
	RUN mkdir /config
	ADD /requirements.txt /config/
	RUN pip install -r config/requirements.txt;
	RUN mkdir /src;
	# Create Log Directories
	RUN mkdir /logs;
	RUN mkdir /logs/rest_api;
	# Create Log File Placeholders: dev and prod.
	<!--
	To use this configuration, do the following:
	1. Create a Jenkins Project.
	2. Go to the root directory of the configuration. (Linux - /var/lib/jenkins/jobs/<project name>/)
	3. Replace the contents of the config.xml file with the contents of this gist, keeping whatever you need and replacing whatever you want to replace.
	This should reflect the new configuration in the Jenkins configure section, if the configuration file is valid after copying.
	-->

	<?xml version="1.0" encoding="UTF-8"?>
	<project>
	"""
	This snippet is not mine. It has simply been taken from a StackOverflow Answer by PriceHardman in the following link.
	(Scroll one answer up from the answer this link takes you to)
	https://stackoverflow.com/questions/24458645/label-encoding-across-multiple-columns-in-scikit-learn#31939145

	To future me and anyone who comes across this:
	- Run this on the entire dataset before splitting the dataset for consistency in the encodings.
	"""

	from sklearn.preprocessing import LabelEncoder
	import xlrd
	def make_json_from_data(column_names, row_data):
	"""
	take column names and row info and merge into a single json object.
	:param data:
	:param json:
	:return:
	"""
	row_list = []
	for item in row_data:
	for i in $(docker images -q)
	do
	docker history $i \| grep -q f50f9524513f && echo $i
	done \| sort -u
	"""
	Middleware to log all requests and responses.
	Uses a logger configured by the name of django.request
	to log all requests and responses according to configuration
	specified for django.request.
	"""
	# import json
	import logging
	from django.utils.deprecation import MiddlewareMixin