Burak Kurt burakkurtt

There are many Git workflows out there, I heavily suggest also reading the atlassian.com [Git Workflow][article] article as there is more detail then presented here.

The two prevailing workflows are [Gitflow][gitflow] and [feature branches][feature]. IMHO, being more of a subscriber to continuous integration, I feel that the feature branch workflow is better suited.

When using Bash in the command line, it leaves a bit to be desired when it comes to awareness of state. I would suggest following these instructions on [setting up GIT Bash autocompletion][git-auto].

Basic branching

When working with a centralized workflow the concepts are simple, master represented the official history and is always deployable. With each now scope of work, aka feature, the developer is to create a new branch. For clarity, make sure to use descriptive names like transaction-fail-message or github-oauth for your branches.

	"""
	author: Timothy C. Arlen
	date: 28 Feb 2018

	Calculate Mean Average Precision (mAP) for a set of bounding boxes corresponding to specific
	image Ids. Usage:

	> python calculate_mean_ap.py

	Will display a plot of precision vs recall curves at 10 distinct IoU thresholds as well as output

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)

	#!/bin/bash

	#########################################################################################################
	## OpenCV Uninstallation Script
	##
	## Code by : Dimas Toha Pramawitra (Lonehack)
	## <[email protected]>
	## Created : 20 Mar 2016
	## Modified : 16 Apr 2016
	##