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Antonio Sánchez antonioJASR

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The current kernel/drivers of Fedora 24 do not support the Wifi chip used on my Mac Book Pro. Proprietary Broadcom drivers are packaged and available in the rpmfusion repo.

Verify that your card is a Broadcom using: lspci -vnn -d 14e4:

Sample output:

02:00.0 Network controller [0280]: Broadcom Corporation BCM4360 802.11ac Wireless Network Adapter [14e4:43a0] (rev 03)

Install

Install the rpmfusion repo, note only "nonfree" is required, as the Broadcom Driver is proprietry: http://rpmfusion.org/

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antonioJASR / gist:559e65f5a574855ebe85c427bf3f0d12
Created April 7, 2017 20:35 — forked from mikepfeiffer/gist:4d9386afdcceaf29493a
EC2 UserData script to install CodeDeploy agent
#!/bin/bash
yum install -y aws-cli
cd /home/ec2-user/
aws s3 cp 's3://aws-codedeploy-us-east-1/latest/codedeploy-agent.noarch.rpm' . --region us-east-1
yum -y install codedeploy-agent.noarch.rpm
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antonioJASR / README.md
Created March 25, 2016 04:37 — forked from dannguyen/README.md
Using Google Cloud Vision API to OCR scanned documents to extract structured data

Using Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

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antonioJASR / info.plist
Created March 9, 2016 23:34 — forked from mlynch/info.plist
Disable App Transport Security in iOS 9
<!--
This disables app transport security and allows non-HTTPS requests.
Note: it is not recommended to use non-HTTPS requests for sensitive data. A better
approach is to fix the non-secure resources. However, this patch will work in a pinch.
To apply the fix in your Ionic/Cordova app, edit the file located here:
platforms/ios/MyApp/MyApp-Info.plist
And add this XML right before the end of the file inside of the last </dict> entry:
#! /usr/bin/env python
# See http://preshing.com/20130115/view-your-filesystem-history-using-python
import optparse
import os
import fnmatch
import time
# Parse options
parser = optparse.OptionParser(usage='Usage: %prog [options] path [path2 ...]')
parser.add_option('-g', action='store', type='long', dest='secs', default=10,