User log in view
The main administrator will have the initial first log in. Once Admin is logged in, he/she can add users to the system.
Uses email address for password reset
Uses email for login
To reset password click the reset password link at the bottom
User is logged into DynamiX Feature Matrix Website and Feature Search Home Page View
or redirected to
eliminate login errors. To reset password click the reset password link at the bottom
DynamiX Feature Matrix Home Page View
Create Site
User can add a site listing
User can edit site once created
User can assign features to site
Feature Groups
Create Feature Groups
Create Features for Groups
Add notes to Features
View Features In Groups
Feature Search
Search For specific features
Log Out/Create User
Log out of the system
Create new user for system
Help
Matrix Documentation
Choose the number of
sites to show
Ascending/Descending
Select the order to view sites
Client Search
Client Search
Search the system for particular client
Feature Group Spy
Feature Group SpyUser can jump to specific Feature Group
for simplicity of adding/deleting
features on client site
Client Profile
Url of client site
Links to Client feature profile
to view site information and
installed features with Developers
notes as well as option to edit client
Client Information
Launch Date
Date the site was/is launched
Description
Short description of the client site
Create Site View
Site Name Required
www.example.com format or error message
NO special characters accepted
Must be unique or will result in error message
Description required ( min 5 )
Launch Date Required
yyy-mm-dd format
Easy select Jquery Calendar
Redirects to Client Profile View upon
successful completion
Client Profile View
Successfully created notice
If User created/updated a new client site
a green success message will appear
If user came from already created client
message will not appear
Client information
Client site name (www format)
Site Id Number
Site Launch Date
Description of site
All client information can be edited except ID
Edit Client Site
User can edit Name, LaunchDate
and Description
Client Site Feature Group Details
Features included on site are populated
below Feature Group Title with developer notes
Edit Client Features
Add/Delete Features
from selected Feature Group
Added Features include option
for Developers to add note
Deleted Features will be deleted
from ClientFeatures table in database
Edit Client Site Information
All fields required
Save Changes
Save changes made to client site
Redirects to Client profile upon successful
completion with success message
Edit Feature View
Add/Delete Client Features to site
Option for developers note relating to
the specific feature on the specific site
To Remove Feature from site
uncheck box
Redirects to Client Profile View upon
successful completion with success message
Choose New Group from Feature Groups
Dropdown menu
Create New Feature Group Modal will pop up
Create New Feature Group Modal
Create New Type of Feature Group
Add New Feature to Group View
Add a new feature to the feature group
Name and note required
Redirects to Feature Group Profile
upon successful completion
Feature Group Profile View
Create/Delete Features from Group
Create Feature Redirects to
Create feature View
Delete Feature View
Confirmation to delete feature from group
Error Message
If feature has dependencies it cannot be deleted
Feature must be removed from all sites for deletion
Feature will remain in database table but not available
User Redirected to Feature Group Profile upon successful
completion
Delete Group
Requires Confirmation
Delete all features from group to delete
If group has dependencies it cannot be deleted
Redirects to homepage with success notice upon
Successful completion
Feature Search
Search particular features on site
Type name of feature
All sites with feature installed will be listed
Link to client profile
Note about feature on site
Add New User to System
Redirects to Register New User View
Register New User View
User Name required(min:5)
Email Required for future log-in
Email Required for password recovery
Password required alphaNum (between:6,12)
Redirects to homepage with success notice upon
Successful completion
Sign out of System
Click to sign out
Redirects to User Log In Page


Pig Latin Translator
Translate
Enter a word. Must not contain characters other than alphabets.
Result Here


{% load crispy_forms_tags %} {% load i18n %}
{% trans "Sometimes the names of the attributes sent by the IdP not match the names used by Sentry for the customer accounts. In this section we can set the mapping between IdP fields and Sentry fields." %}
{% if attr_mapping_form.errors %}


Tesla sends out invites for its Cybertruck unveiling with new pickup teaser
by Simon AlvarezTesla has sent out official invites for its highly-anticipated pickup truck unveiling event. The invitation, which requires attendees to RSVP, featured a brand new teaser image of the upcoming vehicle that CEO Elon Musk has fondly described as a Blade Runner-style “Cybertruck.”
In what appears to be a hint at the hype surrounding the vehicle, the event quickly reached full capacity not long after the invites were sent out. The fortunate ones who managed to secure a spot at the Cybertruck unveiling received a confirmation message from Tesla, which provided a few more interesting details about the upcoming event.
Tesla listed the following reminders for its Cybertruck unveiling attendees.
“Your attendance is confirmed for the Cybertruck Unveil on Thursday, November 21 at the Tesla Design Center, 3203 Jack Northrop Ave, Hawthorne, CA.
– Invitations are non-transferable and IDs will be checked upon arrival
– Doors open at 7 p.m.
– Remarks will begin at 8 p.m.
– Event will be held both indoors and outdoors
– We recommend light outerwear in case of cooler weather
– Additional details will be shared at least 24 hours prior to the event”
A look at the reminders reveals that the Cybertruck unveiling will be held at an open area, which could play to the strengths of the upcoming vehicle. This detail invokes some similarities to the Tesla Semi and next-gen Roadster unveiling from November 2017, which also involved attendees interacting with the vehicles in an open area.
This detail bodes well for the upcoming vehicle. The Tesla Cybertruck could very well be the electric car maker’s first EV that is designed to be rough and tough, and there are few better ways to showcase this by demonstrating its capabilities during its unveiling. Feats of strength, for one, definitely work better in an outdoor setting.
Tesla’s official invitation for the vehicle also includes a new teaser for the Cybertruck featuring a long lightbar that runs across the invite. Playing around with the invitation’s brightness and contrast settings reveals a couple of wheels at the left hand side, together with what seems to be a fairly long bed.
Tesla’s official invitations were sent out not long after Tesla filed trademarks for “Cybertruck” and “CYBRTRK,” as seen in filings with the US Patent Office. It did not take long before the unveiling event was fully booked, with a number of Tesla community members noting that they received messages stating that they have been placed in a waiting list.
“Thank you for your interest in the Cybertruck Unveil event. Your name as been added to the waitlist. If space becomes available, you will receive a confirmation email in the order you submitted your RSVP,” Tesla wrote.
Tesla’s all-electric Cybertruck is expected to have a base price of $49,000 before options, while packing around 400 to 500 miles of range per charge, as per information shared by Elon Musk.


Author: @veredictum
Productivity
This shortcut requires the Listen Launcher Admin shortcut, available here.
Listen Launcher is a shortcut launcher that is designed with the Siri interface in mind. Of course, Siri does a pretty great job at launching shortcuts already. But there are a few things we wish Siri would do better.
Here is a demo of Listen Launcher launching two different shortcuts with a variety of phrases.
Note that one of the sample shortcuts -- Compliment -- can be downloaded on RoutineHub.
Listen Launcher can do all of this and more because it is built on the nlp-compromise Javascript library. This is how Listen Launcher knows about people, places, organizations, names, dates, values and dozens of other things.
Listen Launcher consists of two shortcuts:
Listen does the listening and launching work, while Listen Launcher Admin is for configuration.
Once the shortcuts are installed, say: "Hey Siri, listen" to run the launcher.
Out of the box, Listen Launcher knows variations of phrases like:
And if you forget the names of your shortcuts, don't worry. Listen Launcher will make suggestions based on your guess.
Additional documentation is available in the two shortcuts.
A third shortcut -- "Compliment" -- is available as an example to play with and launch. Compliment comes with sample voice patterns that it can install.
Screens


Fall 2018 Group Project - Work In Progress In Collaboration with Siqi Wu, Asit Parida (Engineering), and Mike Czapik (Engineering) Professor: Jason Hong My Role: Interaction Design, User Testing, Prototyping, Logic Flow Keywords: Security, Data, Mobile App
With the prevalence of sensor-based smart phone apps, mobile data privacy is getting more and more complex. We live in a society which we are overwhelmed by privacy alerts and news every day. How do we protect our privacy data so it is used for our specific usage purpose only?
The Brandeis Project is a collaboration between CMU, DARPA, BBN, and Invincea, with the aim to achieve an order of magnitude improvements for mobile privacy. Our goal is to recreate Privacy Manager and make privacy vastly transparent and easier for developers and end-users in the context of sensor-based smartphone apps.
As the Designer on the team (advised by Professor Jason Hong), my role is to reimagine the UX and UI for privacy settings in a privacy - enhanced Android OS.
Install UI allows detailed breakdown configurations which categorize all permissions by "Typical" vs "Atypical" Permission based on the specific app category. User is able to see recommended setting from back-end data. He is able to configure privacy setting by "On", "Ask", and "Off" three options and "who is accessing the data", "what data is requested", "why is the data being accessed" from permission request.
User can capture privacy overview through re-defined Privacy Manager home page. User can browse through data access in a specific day, weekly trend or even more.
Run Time UI shows detailed permission request by identifying "who is using the data", "what the data is used for", and "why is the data being accessed" from the permission during app run time.
Quick Setting allows user to turn ALL app permission on hardware for a specific setting (such as Coarse Location) "On" or "Off" at simple one click in the quick setting menu.
User is able to go to Privacy Home and see all current setting for a specific privaccy category. User can configure all current settings for this category using "All Permissions" feature.
If apps had clearer purposes (inferred or declared by devices), then we could create better predictive models of privacy concerns, which can scale to millions of apps and users. What we propose to Android is to ask the app developers to break down privacy requests, help users to recognize typical versus atypical data requests, and give them recommended privacy suggestions.


Wednesday-November 11, 2020
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Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
Hard Fork
MOST POPULAR
Is Bitcoin a good hedge against the market? It depends on your horizon
Yaron Yitzhak · 3 days ago- Tesla short sellers have lost $27B betting against Elon Musk this year
- Elon ‘own no home’ Musk sells Gene Wilder’s old pad — 5 properties to go
- Xilinx stock goes up, AMD stock goes down after $35B buyout
- Bitcoin rally sends world's top cryptocurrency ahead of gold and silver
- PayPal to support Bitcoin and other crypto — but merchants must use fiat
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RePlay
Home
Enter Rooom1
Replay
1 Schedule it.
2 Host it.
3 Replay it.
Essential tools for guests and party planners
Log in
Sign up -
for free !
Schedule & Plan
Schedule and plan
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This is the course website CSCI P-14110
Today we’ll go into the basics of why we visualize, who we visualize for, and how to think about our relationship with our data.


Ploror688.github.io
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‘Wants to Stay in News’: Meghan McCain Ripped to Shreds for ‘Rot in Hell’ Remark About Roger Stone
Political analyst and strategist Roger Stone has been found guilty of obstruction of justice and making false statements at the time Special Counsel Robert Mueller was conducting his 2016 Russia collusion probe, before he concluded there was none.
Senator John McCain’s daughter Meghan McCain took to Twitter on Friday to express a wish that political operative Roger Stone “rot in hell” after Stone was found guilty on seven charges.
Meghan’s remark may notably be a jab at Stone referencing his 2017 tweet at her father John McCain.
In August 2017, Stone suggested that John McCain could “burn in hell for all eternity” after the senator lashed out at President Donald Trump’s pardon of Joe Arpaio, a sheriff-turned-politician who fell short in a bid to gain a seat in Congress, for his contempt of court charge.
McCain’s remarks were met with a storm of taunting responses online, with one netizen pointing to her apparent double standard:
“Didn't you complain when people said the same about your Dad?” one asked.
“I’m sure her father could use the company”, a second butted in opting for a bit of black humour, while another posted a photoshopped image of Senator McCain surrounded by Daesh* and al-Nusra** fighters:
Another chose a different aspect and used the discrepancy between what one looks like online and in reality:
“That’s all she talks about is her dad. Without him, she’s nothing”, a different netizen said, while another went still further:
Another insisted she doesn’t feel “strongly about anything”, which is deeply unlikable, adding that she is solely after the media spotlight:
Author and strategist Roger Stone was convicted of obstruction of justice and making false statements over his testimony to Congress relating to emails hacked from the Democrats, as part of the Mueller probe on the now busted collusion between Russia and the Trump campaign.
Stone has vehemently denied the claims, with POTUS, who is now targeted in an ongoing impeachment inquiry, retorting that the conviction “is a double standard like never seen before in the history of our Country”.
‘Rot in Hell’: Meghan McCain’s Recurrent Wish
Meghan McCain made the same provocative remark about former Trump campaign strategist Paul Manafort last year, saying that Manafort should “rot in jail and then he should rot in hell”.
She similarly referred to Republican Sen. Rand Paul recently, sharing that what she feels for him is hatred.
In a separate jab, she recently addressed Trump’s withdrawal from Syria branding his administration “feckless unpatriotic cowards”.
“Right now we’re just saying we’re just going to leave them and abandon them and to everyone in the White House and every Republican who was mad that President Obama pulled out of Iraq, you feckless unpatriotic cowards!” she fumed on The View.
* Daesh (also known as ISIS/ISIL/IS) is a terrorist organisation banned in Russia
**Hayat Tahrir al-Sham (al-Qaeda affiliate, formerly known as Al-Nusra Front) is a terrorist group outlawed in Russia


raredecay.tools.estimator module¶
Created on Sat May 21 12:02:58 2016
@author: Jonas Eschle “Mayou36”
-
class
raredecay.tools.estimator.
Mayou
(base_estimators=None, bagging_base=None, stacking='xgb', features_stack=None, bagging_stack=None, hunting=False, transform=True, transform_pred=True)[source]¶ Bases:
rep.estimators.interface.Classifier
Classifier for raredecay analysis
blablabla
Parameters: base_estimators (dict('clf': classifier OR keyword-parameters)) – Contains all the level-0 classifiers. The key is the name of the classifier and the value is either a prefitted classifier or a dictionary containing the keyword arguments to instantiate such a classifier.
If no pre-trained classifier is provided, the key-value has to be one of the following:
- ‘xgb’ creates an XGBoost classifier
- ‘rdf’ creates a Random Forest classifier
- ‘erf’ creates a Forest consisting of Extra Randomized Trees
- ‘nn’ creates an artificial Neural Network from TheaNets
- ‘ada’ creates an AdaBoost instance with Decision Trees as basis
- ‘gb’ creates a Gradient Boosted classifier with Decision Trees as basis


About
Doc Tree is a simple tool to write expanding prose.
Test results
⚪ 0 Total, 🟢 0 Passing, 🔴 0 Failing,
-
My long article
There are many things I want to talk about, like the Civil war.
-
Civil War
Here's a little bit about the civil war...
Abraham Lincoln was assassinated, for example
-
Assassination of Abraham Lincoln
Here's a little bit about the assassination of Abraham Lincoln.
-
But I'm also very interested in WWI
-
World War I
Here's a little bit about the WWI...
and WW2
-
World War II
Here's a little bit about WWII...
-


|
SideCar
|
Go to the source code of this file.
Data Structures | |
| class | SideCar::IO::IOTask |
| Derivative of IO::Task that holds a MetaTypeInfo object which describes the message type the task handles. More... | |
Namespaces | |
| Logger | |
| Namespace for the Log logging device and support classes. | |
| SideCar | |
| Namespace for all entities specific to the 331 SideCar project. | |
| SideCar::IO | |
| Namespace for entities that handle SideCar data I/O. | |


Basic Color Picker
Searching for that perfect color picker has never been easier, use this jQuery color picker in your application.
HEX
#000000
RGB(0, 0, 0)
HEX
#33CCCC
RGB(51, 204, 204)
Features
Basic, simple and easy
Cross browser support
One line installation
Works with dynamically added elements
Code Example

 $('#bcPicker').bcPicker();
Site
https://github.com/bobkovalex/Basic-Color-Picker


For those new to the topic of Polynomial Regression, here's a wonderful video of Dr. Andrew Ng from Stanford, explaining the topic. It might be helpful to watch this video and any other resources of your choice before proceeding with the problem.
Polynomial Regression
The Problem
Charlie wants to purchase office-space. He does a detailed survey of the offices and corporate complexes in the area, and tries to quantify a lot of factors, such as the distance of the offices from residential and other commercial areas, schools and workplaces; the reputation of the construction companies and builders involved in constructing the apartments; the distance of the offices from highways, freeways and important roads; the facilities around the office space and so on.
Each of these factors are quantified, normalized and mapped to values on a scale of 0 to 1. Charlie then makes a table. Each row in the table corresponds to Charlie's observations for a particular house. If Charlie has observed and noted F features, the row contains F values separated by a single space, followed by the office-space price in dollars/square-foot. If Charlie makes observations for H houses, his observation table has (F+1) columns and H rows, and a total of (F+1) * H entries.
Charlie does several such surveys and provides you with the tabulated data. At the end of these tables are some rows which have just F columns (the price per square foot is missing). Your task is to predict these prices. F can be any integer number between 1 and 5, both inclusive.
There is one important observation which Charlie has made.
Input Format
The first line contains two space separated integers, F and N. Over here, F is the number of observed features. N is the number of rows for which features as well as price per square-foot have been noted.
This is followed by a table having F+1 columns and N rows with each row in a new line and each column separated by a single space. The last column is the price per square foot.
The table is immediately followed by integer T followed by T rows containing F columns.
Constraints
1 <= F <= 5
5 <= N <= 100
1 <= T <= 100
0 <= Price Per Square Foot <= 10^6
0 <= Factor Values <= 1
Output Format
T lines. Each line 'i' contains the predicted price for the 'i'th test case.
 There are 100 data points, for which he has taken note of the features, and the price per square foot (in the last column).
At the end, are four rows where he knows the two features, you output the predicted price/square foot of the office space for every testcase.
Recommended Technique
Use a regression based technique. At this point, you are not expected to account for bias and variance trade-offs.
Scoring
For each test in a test case file we will compute the following:
d = Normalized Distance from expected answer
= abs(Computed-Expected)/Expected
Since there can be multiple ways to approach this problem, which account for bias, variance, various subjective factors and "noise", we will take a realistic approach to scoring, and permit upto +/- 10% swing of our expected answer.
d_adjusted = max(d - 0.1, 0)
Score for each test = max(1-d_adjusted,0)
Score for the test case file == (Average of the scores for the tests it contains) * M
Where M is the Max possible score for the test case.
Suppose we have a test case file with just one test.
Suppose our expected answer is 10
And your answer is: 9.5
d = (10 - 9.5) / 10 = 0.05
d_adjusted = max(0.05 - 0.1,0) = 0
Score = max(1-d_adjusted, 0) = max(1,0) = 1


I'm Stephen Remmi,a student at Moringa School currently studying Software development.
I was born 2001 in Huruma slums in a God-fearing family of 4 kids.My parents laid a firm foundation in our Christian faith and we are all born again Christians. i discovered my talent at a very young age while still in the slums, since we had a football pitch behind our home and every evening the entire neighbourhood would come to the field to play. During 2007 post election violence we were forced to move to a new enviroment;South C due to the insecurities in Eastlands at that time. I studied at Bellevue Primary School for 8 years and in between that period i played for Ligi Ndogo Academy and Elite FC. I was later called at Upperhill School to do my high school learning,which i recently finished successfully.I now reside at Ngong and i play for Vapour Ministries.


{{ 1 | currency:'INR' }}/-
Book a trial of 15 minutes and get 100/Rs in wallet.
15 minutes a day | 3 Days/Week


I am pleased to announce the following sponsors for Watir Day 2011 (listed in alphabetical order):
A big thank you to these companies for helping make Watir Day happen. Don’t forget it’s not too late to sponsor Watir Day 2011.
Update: 12 March 2011: Our newest sponsor is Saucelabs: Cross-browser testing with Selenium in the cloud.
Update: Out newest sponsor is Tactic Knowledge:
Update: Our latest sponsor is SugarCRM:


Pathfinder character sheet
{% include "pathfinder/sheet_parts/logo.html" %}
{% include "pathfinder/sheet_parts/description.html" %}
{% include "pathfinder/sheet_parts/abilities.html" %}
{% include "pathfinder/sheet_parts/hp.html" %}
{% include "pathfinder/sheet_parts/damage-resistance.html" %}
{% include "pathfinder/sheet_parts/damage.html" %}
{% include "pathfinder/sheet_parts/initiative.html" %}
{% include "pathfinder/sheet_parts/AC.html" %}
{% include "pathfinder/sheet_parts/saves.html" %}
{% include "pathfinder/sheet_parts/attack.html" %}
{% include "pathfinder/sheet_parts/spell-resistance.html" %}
{% include "pathfinder/sheet_parts/combat-maneuvers.html" %}
{% include "pathfinder/sheet_parts/weapons.html" %}
{% include "pathfinder/sheet_parts/speed.html" %}
{% include "pathfinder/sheet_parts/skills.html" %}
{% include "pathfinder/sheet_parts/languages.html" %}
Pathfinder RPG Character Sheet
{% include "pathfinder/sheet_parts/AC_items.html" %}
{% include "pathfinder/sheet_parts/gear.html" %}
{% include "pathfinder/sheet_parts/load.html" %}
{% include "pathfinder/sheet_parts/money.html" %}
{% include "pathfinder/sheet_parts/feats.html" %}
{% include "pathfinder/sheet_parts/special_abilities.html" %}
{% include "pathfinder/sheet_parts/experience.html" %}
{% include "pathfinder/sheet_parts/spells.html" %}
{% include "pathfinder/sheet_parts/spells_known.html" %}


Year 2013 Performances- 2 miles Indoor Track
No performances under ARRS qualifying standards
Last Updated on 20 Feb 2014


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Recognising Dynamic Hand Gesture movements and mapping them to Human Computer Interaction based acitivites in real time.
Check it outOn-going project to reconstruct a person's face from a sample of his/her audio using.
Check it outAn AI assistant for differently-abled people to recognize static hand gestures and converting them into sign language. Can also convert Text/Voice into a live motion sequence of gestures and read out newspapers/articles.
Check it outObject detection for Flipkart Grid Challenge in which I secured an All India rank of 29.
Check it outA specialized linear algebra library for OpenGL made in C with a python wrapper.
Check it outA modern implementation of classic arcade game Space Invaders made using Pygame.
Check it out


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ehco was my team’s entry in the Sydney 2014 Global Game Jam; it won the best Audio Award thanks to the music made by Brad Gentle
It was made in 48 hours, I coded the game mechanics, helped design the concept and integrated Hee-eun Yeo’s hand-made watercolour art.
Original Description bye Leo Turem:
Explore four seasonal micro-planets in this VR-enabled experience.
Concept: Life is a journey riddled with challenges posed by our environment, those around us, and ourselves. By reflecting on our pasts and our futures, we can reconcile them in order to move forward down the path laid before us.
Each planet is a mirrored image of the present in a different stage of life. There is a reflection of you on each planet, you can see it follow your moves when standing at certain planet meridians.The seed also has a reflection, but as a grown tree in Summer.
![](http://oddgoo.io.s3.amazonaws.com/covers/ehco/ehco_1.JPG)
![](http://oddgoo.io.s3.amazonaws.com/covers/ehco/ehco_2.JPG)
![](http://oddgoo.io.s3.amazonaws.com/covers/ehco/ehco_3.JPG)
![](http://oddgoo.io.s3.amazonaws.com/covers/ehco/ehco_4.JPG)
![](http://oddgoo.io.s3.amazonaws.com/covers/ehco/ehco_5.JPG)


send to :
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--- layout: post title: Mass Undelete from the Recycle Bin date: 2015-02-20 11:03:47.000000000 -05:00 categories: blog ---
This is more "e-discovery" than forensics but I recently had a case where I needed to 1,300 files that were in a user's Recycle Bin.
It was not overly important to the user's management when they were originally created or when it was deleted. They just wanted to review the documents. So I took an hour and hammered out this beast.


{{For|the Piciformes suborder|Pici (taxon)}} {{Refimprove|date=September 2014}} {{Infobox prepared food | name = Pici | image = | caption = Pici made with egg white | alternate_name = Pinci | country = Italy | region = Province of Siena | creator = | course = | type = Pasta | served = | main_ingredient = Flour, water | variations = | calories = | other = }}
Pici {{IPA-it|ˈpiːtʃi|}} are thick, hand-rolled pasta, like fat spaghetti.<ref>Il Devoto-Oli. Vocabolario della lingua Italiana, edited by Luca Serianni and Maurizio Trifone, Le Monnier.</ref> It originates in the province of Siena in Tuscany; in the Montalcino area it is also referred to as pinci.
The dough is typically made from flour and water only. The addition of egg is optional, being determined by family traditions.
The dough is rolled out in a thick flat sheet, then cut into strips. In some families, the strip of dough is rolled between one palm and the table, while the other hand is wrapped with the rest of the strip. It can also be formed by rolling the strip between the palms.  Unlike spaghetti or macaroni, this pasta is not uniform in size and has variations of thickness along its length.
It is eaten with a variety of foods, particularly:
| Food category | Italian | English |
|---|---|---|
| sauces | briciole | breadcrumbs |
| aglione | spicy garlic tomato sauce | |
| boscaiola | porcini mushrooms | |
| cacio e pepe | cheese and black pepper | |
| ragù | a meat based sauce | |
| game meat | cinghiale | wild boar |
| lepre | hare | |
| anatra | duck |
{{reflist}}
{{Pasta}}
{{Italy-cuisine-stub}}


Originally, MPI-1.1 provided bindings for Fortran 77. These bindings are retained, but they are now interpreted in the context of the Fortran 90 standard. MPI can still be used with most Fortran 77 compilers, as noted below. When the term ``Fortran'' is used it means Fortran 90 or later; it means Fortran 2008 + TR 29113 and later if the mpi_f08 module is used.
All MPI names have an MPI_ prefix, and all characters are capitals. Programs must not declare names, e.g., for variables, subroutines, functions, parameters, derived types, abstract interfaces, or modules, beginning with the prefix MPI_. To avoid conflicting with the profiling interface, programs must also avoid subroutines and functions with the prefix PMPI_. This is mandated to avoid possible name collisions.
All MPI Fortran subroutines have a return code in the last argument. With USE mpi_f08, this last argument is declared as OPTIONAL, except for user-defined callback functions (e.g., COMM_COPY_ATTR_FUNCTION) and their predefined callbacks (e.g., MPI_NULL_COPY_FN). A few MPI operations which are functions do not have the return code argument. The return code value for successful completion is MPI_SUCCESS. Other error codes are implementation dependent; see the error codes in Chapter MPI Environmental Management and Annex Language Bindings Summary .
Constants representing the maximum length of a string are one smaller in Fortran than in C as discussed in Section Constants .
Handles are represented in Fortran as INTEGERs, or as a BIND(C) derived type with the mpi_f08 module; see Section Opaque Objects . Binary-valued variables are of type LOGICAL.
Array arguments are indexed from one.
The older MPI Fortran bindings (mpif.h and use mpi) are inconsistent with the Fortran standard in several respects. These inconsistencies, such as register optimization problems, have implications for user codes that are discussed in detail in Section Optimization Problems, an Overview .


These projects were each one week long, completed in the winter quarter of 2016 at the University of Washington. They are meant to show a variety of skills including design thinking, sketching, wire framing, video prototyping and physical prototyping.
OPTION 1 - AUGMENTED INTERFACE
The idea is that when the power is on, the laser shows up in the shower (from above). The user then gets in the shower and holds out their hand to turn the shower on and indicate which controls they want. The best part about this design is how much other integration there could be with other technology as well. I have in the screens, a spot for other technology (like email, music) which could be controlled by the same interface.
Besides those small but interesting integration elements, the best part about this design is that it works really well in the shower. It works the same if it’s steamy water, directly in the water, not in the water at all, low light, high light, it really doesn’t matter. This was my out of the box design and overall, this is the one that I’d want in my house if it were built.
OPTION 2 - THE SCREEN
This prototype is a wall mounted digital display. The idea is that the digital display would be preset and the components the user is interacting with are the knobs, buttons and dials. Before starting any of the designs, I did a few trails just to get an understanding about the topic. It turns out, when I try and type a text message after putting a little bit of water on my phone’s display, the touch screen don’t work. Water and screens don't work well together.
OPTION 3 - THE ATTACHMENT
The idea is simple - the buttons follow the rim of the device. The buttons or touch components are closer to the user so that they don’t accidentally hit the wrong button and have an undesirable result. For the volume, I made a simple tab that the user can slide up and down. Up is more volume, down is less, very intuitive and what the user would expect. Similar to the screen idea, there are buttons that can be pressed, but in this case, they don’t turn. Each button is for a specific function (pulsating spray, mist, etc.) Overall, I think this idea would be easy to implement but is the most problematic for the user to enjoy on a day to day bases.
The Stock Watcher app is a tool for busy day traders. The stock market is an interesting arena. When business is in session, things are stressful, fast passed and sometimes out of control. In the matter of moments, millions of dollars can be made, or lost. For traders, where every second counts, they may not want to be glued to their computer screens or iPhones. This is a way for traders to set notification limits on their phone, which will notify them via their smart watch. Notification changes and buying options can happen from the smart watch. This is critical because in the time it would take you to log into your account on the iPhone, the deal could be gone.
The thing I find interesting about Uber is how it’s successful not just at getting people from point A to point B, but how it’s so accessible if you can’t drive - pregnant woman needs a ride to the hospital, person has too much to drink, person breaks their leg and needs to go to the doctor. In the end, a pregnant woman going into labor was the most interesting storyline and has a dramatic and interesting build up. The thing about having a child is you never know when it’s going to come. Luckily, Uber is always only a few minutes away.
This project was to create an interesting design that used at least 3 LEDs and current-limiting resistors. The LEDs were to flash in an interesting pattern (the example was a traffic light). The final design is a graphic that spells: 1 + 1 = 2. The numbers and symbols all light up one after the other.
This assignment was to create a laptop stand, designed in Rhino and cut out of a single sheet of chipboard. The design is a series of triangles that lean in towards one another, creating a situation that relies on the materials compressive strength. The pattern on the vertical surface is for venting as the laptop gets warm. This area also contains interlocking strips which hold the entire design together.


Classes | |
| struct | Matrix3x3 |
| Holds a 3x3 matrix that can be marshaled between the ZED Unity wrapper and C# scripts. More... | |
| struct | Resolution |
| Holds a camera resolution as two pointers (for height and width) for easy passing back and forth to the ZED Unity wrapper. More... | |
| struct | iRect |
| Rect structure to define a rectangle or a ROI in pixels Use to set ROI target for AEC/AGC More... | |
| struct | Pose |
| Pose structure with data on timing and validity in addition to position and rotation. More... | |
| struct | ImuData |
| Full IMU data structure. More... | |
| struct | BarometerData |
| struct | MagnetometerData |
| struct | TemperatureSensorData |
| struct | SensorsData |
| struct | SensorParameters |
| Structure containing information about a single sensor available in the current device More... | |
| struct | SensorsConfiguration |
| Structure containing information about all the sensors available in the current device More... | |
| class | RuntimeParameters |
| Runtime parameters used by the ZEDCamera.Grab() function, and its Camera::grab() counterpart in the SDK. More... | |
| struct | CameraParameters |
| Calibration information for an individual sensor on the ZED (left or right). More... | |
| struct | CalibrationParameters |
| Holds calibration information about the current ZED's hardware, including per-sensor calibration and offsets between the two sensors. More... | |
| class | InitParameters |
| Struct containing all parameters passed to the SDK when initializing the ZED. These parameters will be fixed for the whole execution life time of the camera. More... | |
| struct | Recording_state |
| Container for information about the current SVO recording process. More... | |
| struct | ZEDSpatialMappingHelper |
| struct | PlaneData |
| Structure that defines a new plane, holding information directly from the ZED SDK. Data within is relative to the camera; More... | |
| struct | ObjectDetectionParameters |
| Sets the object detection parameters. More... | |
| struct | ObjectDetectionRuntimeParameters |
| Sets the object detection runtime parameters. More... | |
| struct | ObjectDataSDK |
| Object data structure directly from the SDK. Represents a single object detection. See DetectedObject for an abstracted version with helper functions that make this data easier to use in Unity. More... | |
| struct | ObjectsFrameSDK |
| Object Scene data directly from the ZED SDK. Represents all detections given during a single image frame. See DetectionFrame for an abstracted version with helper functions that make this data easier to use in Unity. Contains the number of object in the scene and the objectData structure for each object. Since the data is transmitted from C++ to C#, the size of the structure must be constant. Therefore, there is a limitation of 200 (MAX_OBJECT constant) objects in the image. More... | |
Functions | |
| float3 | multiply (float3 a) |
| Gives the result of the addition between a Matrix3x3 and a specified scalar value. More... | |
| Resolution (uint width, uint height) | |
| Resolution of the image. More... | |
| bool | isSensorAvailable (SENSOR_TYPE sensor_type) |
| if a sensor type is available on the device More... | |
| RuntimeParameters (sl.SENSING_MODE smode=SENSING_MODE.STANDARD, REFERENCE_FRAME reframe=REFERENCE_FRAME.CAMERA, bool depth=true, int cnf_threshold=100, int txt_cnf_threshold=100) | |
| Constructor More... | |
| InitParameters () | |
| Constructor. Sets default initialization parameters recommended for Unity. More... | |
Variables | |
| const string | NameDLL = "sl_zed_interface.dll" |
| float[] | m |
| 3x3 matrix as the float array. More... | |
| System.UIntPtr | width |
| width in pixels. More... | |
| System.UIntPtr | height |
| height in pixels. More... | |
| int | x |
| x coordinates of top-left corner. More... | |
| int | y |
| y coordinates of top-left corner. More... | |
| int | width |
| width of the rectangle in pixels. More... | |
| int | height |
| height of the rectangle in pixels. More... | |
| bool | valid |
| boolean that indicates if tracking is activated or not. You should check that first if something wrong. More... | |
| ulong | timestamp |
| Timestamp of the pose. This timestamp should be compared with the camera timestamp for synchronization. More... | |
| Quaternion | rotation |
| orientation from the pose. More... | |
| Vector3 | translation |
| translation from the pose. More... | |
| int | pose_confidence |
| Confidence/Quality of the pose estimation for the target frame. A confidence metric of the tracking[0 - 100], 0 means that the tracking is lost, 100 means that the tracking can be fully trusted. More... | |
| bool | available |
| Indicates if imu data is available More... | |
| ulong | timestamp |
| IMU Data timestamp in ns More... | |
| Vector3 | angularVelocity |
| Gyroscope calibrated data in degrees/second. More... | |
| Vector3 | linearAcceleration |
| Accelerometer calibrated data in m/s². More... | |
| Vector3 | angularVelocityUncalibrated |
| Gyroscope raw/uncalibrated data in degrees/second. More... | |
| Vector3 | linearAccelerationUncalibrated |
| Accelerometer raw/uncalibrated data in m/s². More... | |
| Quaternion | fusedOrientation |
| Orientation from gyro/accelerator fusion. More... | |
| Matrix3x3 | orientationCovariance |
| Covariance matrix of the quaternion. More... | |
| Matrix3x3 | angularVelocityCovariance |
| Gyroscope raw data covariance matrix. More... | |
| Matrix3x3 | linearAccelerationCovariance |
| Accelerometer raw data covariance matrix. More... | |
| bool | available |
| Indicates if mag data is available More... | |
| ulong | timestamp |
| mag Data timestamp in ns More... | |
| float | pressure |
| Barometer ambient air pressure in hPa More... | |
| float | relativeAltitude |
| Relative altitude from first camera position More... | |
| bool | available |
| Indicates if mag data is available More... | |
| ulong | timestamp |
| mag Data timestamp in ns More... | |
| Vector3 | magneticField |
| Magnetic field calibrated values in uT More... | |
| Vector3 | magneticFieldUncalibrated |
| Magnetic field raw values in uT More... | |
| float | imu_temp |
| Temperature from IMU device ( -100 if not available) More... | |
| float | barometer_temp |
| Temperature from Barometer device ( -100 if not available) More... | |
| float | onboard_left_temp |
| Temperature from Onboard left analog temperature sensor ( -100 if not available) More... | |
| float | onboard_right_temp |
| Temperature from Onboard right analog temperature sensor ( -100 if not available) More... | |
| ImuData | imu |
| Contains Imu Data More... | |
| BarometerData | barometer |
| Contains Barometer Data More... | |
| MagnetometerData | magnetometer |
| Contains Mag Data More... | |
| TemperatureSensorData | temperatureSensor |
| Contains Temperature Data More... | |
| int | camera_moving_state |
| Indicated if camera is : -> Static : 0 -> Moving : 1 -> Falling : 2 More... | |
| int | image_sync_val |
| Indicates if the current sensors data is sync to the current image (>=1). Otherwise, value will be 0. More... | |
| SENSOR_TYPE | type |
| The type of the sensor as DEVICE_SENSORS. More... | |
| float | resolution |
| The resolution of the sensor. More... | |
| float | sampling_rate |
| The sampling rate (or ODR) of the sensor. More... | |
| float2 | range |
The range values of the sensor. MIN: range.x , MAX: range.y More... | |
| float | noise_density |
also known as white noise, given as continous (frequency independant). Units will be expressed in sensor_unit/√(Hz). NAN if the information is not available. More... | |
| float | random_walk |
derived from the Allan Variance, given as continous (frequency independant). Units will be expressed in sensor_unit/s/√(Hz).NAN if the information is not available. More... | |
| SENSORS_UNIT | sensor_unit |
| The string relative to the measurement unit of the sensor. More... | |
| bool | isAvailable |
| uint | firmware_version |
| The firmware version of the sensor module, 0 if no sensors are available (ZED camera model). More... | |
| float4 | camera_imu_rotation |
| contains rotation between IMU frame and camera frame. More... | |
| float3 | camera_imu_translation |
| contains translation between IMU frame and camera frame. More... | |
| SensorParameters | accelerometer_parameters |
| Configuration of the accelerometer device. More... | |
| SensorParameters | gyroscope_parameters |
| Configuration of the gyroscope device. More... | |
| SensorParameters | magnetometer_parameters |
| Configuration of the magnetometer device. More... | |
| SensorParameters | barometer_parameters |
| Configuration of the barometer device More... | |
| sl.SENSING_MODE | sensingMode |
| Defines the algorithm used for depth map computation, more info : SENSING_MODE definition. More... | |
| sl.REFERENCE_FRAME | measure3DReferenceFrame |
| Provides 3D measures (point cloud and normals) in the desired reference frame (default is REFERENCE_FRAME_CAMERA). More... | |
| bool | enableDepth |
| Defines whether the depth map should be computed. More... | |
| int | confidenceThreshold |
| Defines the confidence threshold for the depth. Based on stereo matching score. More... | |
| int | textureConfidenceThreshold |
| Defines texture confidence threshold for the depth. Based on textureness confidence. More... | |
| float | fx |
| Focal X. More... | |
| float | fy |
| Focal Y. More... | |
| float | cx |
| Optical center X. More... | |
| float | cy |
| Optical center Y. More... | |
| double[] | disto |
| Distortion coefficients. More... | |
| float | vFOV |
| Vertical field of view after stereo rectification. More... | |
| float | hFOV |
| Horizontal field of view after stereo rectification. More... | |
| float | dFOV |
| Diagonal field of view after stereo rectification. More... | |
| Resolution | resolution |
| Camera's current resolution. More... | |
| CameraParameters | leftCam |
| Parameters of the left sensor. More... | |
| CameraParameters | rightCam |
| Parameters of the right sensor. More... | |
| Quaternion | Rot |
| Rotation (using Rodrigues' transformation) between the two sensors. Defined as 'tilt', 'convergence' and 'roll'. More... | |
| Vector3 | Trans |
| Translation between the two sensors. T[0] is the distance between the two cameras in meters. More... | |
| sl.INPUT_TYPE | inputType |
| sl.RESOLUTION | resolution |
| Resolution the ZED will be set to. More... | |
| int | cameraFPS |
| Requested FPS for this resolution. Setting it to 0 will choose the default FPS for this resolution. More... | |
| int | cameraDeviceID |
| ID for identifying which of multiple connected ZEDs to use. More... | |
| string | pathSVO = "" |
| Path to a recorded SVO file to play, including filename. More... | |
| bool | svoRealTimeMode |
| In SVO playback, this mode simulates a live camera and consequently skipped frames if the computation framerate is too slow. More... | |
| UNIT | coordinateUnit |
| Define a unit for all metric values (depth, point clouds, tracking, meshes, etc.) Meters are recommended for Unity. More... | |
| COORDINATE_SYSTEM | coordinateSystem |
| This defines the order and the direction of the axis of the coordinate system. LEFT_HANDED_Y_UP is recommended to match Unity's coordinates. More... | |
| sl.DEPTH_MODE | depthMode |
| Quality level of depth calculations. Higher settings improve accuracy but cost performance. More... | |
| float | depthMinimumDistance |
| Minimum distance from the camera from which depth will be computed, in the defined coordinateUnit. More... | |
| float | depthMaximumDistance |
| When estimating the depth, the SDK uses this upper limit to turn higher values into TOO_FAR ones. The current maximum distance that can be computed in the defined UNIT. Changing this value has no impact on performance and doesn't affect the positional tracking nor the spatial mapping. (Only the depth, point cloud, normals) More... | |
| FLIP_MODE | cameraImageFlip |
| Defines if images are horizontally flipped. More... | |
| bool | enableRightSideMeasure |
| Defines if measures relative to the right sensor should be computed (needed for MEASURE_<XXX>_RIGHT). More... | |
| bool | cameraDisableSelfCalib |
| True to disable self-calibration and use the optional calibration parameters without optimizing them. False is recommended, so that calibration parameters can be optimized. More... | |
| bool | sdkVerbose |
| True for the SDK to provide text feedback. More... | |
| int | sdkGPUId |
| ID of the graphics card on which the ZED's computations will be performed. More... | |
| string | sdkVerboseLogFile = "" |
| If set to verbose, the filename of the log file into which the SDK will store its text output. More... | |
| bool | depthStabilization |
| True to stabilize the depth map. Recommended. More... | |
| string | optionalSettingsPath = "" |
| Optional path for searching configuration (calibration) file SNxxxx.conf. (introduced in ZED SDK 2.6) More... | |
| bool | sensorsRequired |
| True to stabilize the depth map. Recommended. More... | |
| string | ipStream = "" |
| Path to a recorded SVO file to play, including filename. More... | |
| ushort | portStream = 30000 |
| Path to a recorded SVO file to play, including filename. More... | |
| bool | enableImageEnhancement = true |
| Whether to enable improved color/gamma curves added in ZED SDK 3.0. More... | |
| bool | status |
| Status of the current frame. True if recording was successful, false if frame could not be written. More... | |
| double | current_compression_time |
| Compression time for the current frame in milliseconds. More... | |
| double | current_compression_ratio |
| Compression ratio (% of raw size) for the current frame. More... | |
| double | average_compression_time |
| Average compression time in millisecond since beginning of recording. More... | |
| double | average_compression_ratio |
| Compression ratio (% of raw size) since recording was started. More... | |
| static int | nbSubMeshMax = 1000 |
| Maximum number of chunks. It's best to get relatively few chunks and to update them quickly. More... | |
| static int[] | nbVerticesInSubmesh = new int[nbSubMeshMax] |
| Total vertices in each chunk/submesh. More... | |
| static int[] | nbTrianglesInSubmesh = new int[nbSubMeshMax] |
| Total triangles in each chunk/submesh. More... | |
| static int[] | updatedIndices = new int[nbSubMeshMax] |
| Total indices per chunk/submesh. More... | |
| sl.ERROR_CODE | ErrorCode |
| Error code returned by the ZED SDK when the plane detection was attempted. More... | |
| PLANE_TYPE | Type |
| Type of the plane (floor, hit_vertical, etc.) More... | |
| Vector3 | PlaneNormal |
| Normalized vector of the direction the plane is facing. More... | |
| Vector3 | PlaneCenter |
| Camera-space position of the center of the plane. More... | |
| Vector3 | PlaneTransformPosition |
| Camera-space position of the center of the plane. More... | |
| Quaternion | PlaneTransformOrientation |
| Camera-space rotation/orientation of the plane. More... | |
| Vector4 | PlaneEquation |
| The mathematical Vector4 equation of the plane. More... | |
| Vector2 | Extents |
| How wide and long/tall the plane is in meters. More... | |
| int | BoundsSize |
| How many points make up the plane's bounds, eg. the array length of Bounds. More... | |
| Vector3[] | Bounds |
| Positions of the points that make up the edges of the plane's mesh. More... | |
| bool | imageSync |
| Defines if the object detection is synchronized to the image or runs in a separate thread. More... | |
| bool | enableObjectTracking |
| Defines if the object detection will track objects across multiple images, instead of an image-by-image basis. More... | |
| bool | enable2DMask |
| Defines if the SDK will calculate 2D masks for each object. Requires more performance, so don't enable if you don't need these masks. More... | |
| sl.DETECTION_MODEL | detectionModel |
| Defines the AI model used for detection More... | |
| bool | enable_body_fitting |
| Defines if the body fitting will be applied. More... | |
| float | detectionConfidenceThreshold |
| The detection confidence threshold between 1 and 99. A confidence of 1 means a low threshold, more uncertain objects and 99 very few but very precise objects. Ex: If set to 80, then the SDK must be at least 80% sure that a given object exists before reporting it in the list of detected objects. If the scene contains a lot of objects, increasing the confidence can slightly speed up the process, since every object instance is tracked. Default confidence threshold value, used as a fallback when ObjectDetectionRuntimeParameters.object_confidence_threshold is partially set More... | |
| int[] | objectClassFilter |
Select which object type to detect and track. Fewer objects type can slightly speed up the process, since every objects are tracked. Only the selected classes in the vector will be outputted. In order to get all the available classes, the filter vector must be empty : object_class_filter = new int[(int)sl.OBJECT_CLASS.LAST)]; To select a set of specific object classes, like person and vehicle for instance: objectClassFilter[(int)sl.OBJECT_CLASS.PERSON] = Convert.ToInt32(true); objectClassFilter[(int)sl.OBJECT_CLASS.VEHICLE] = Convert.ToInt32(true); More... | |
| int[] | object_confidence_threshold |
| Defines a detection threshold for each classes, can be empty for some classes, ObjectDetectionRuntimeParameters.detectionConfidenceThreshold will be taken as fallback/default value. More... | |
| int | id |
| Object identification number, used as a reference when tracking the object through the frames. More... | |
| sl.OBJECT_CLASS | objectClass |
| Object category. Identify the object type. More... | |
| sl.OBJECT_SUBCLASS | objectSubClass |
| Object subclass. More... | |
| sl.OBJECT_TRACK_STATE | objectTrackingState |
| Defines the object tracking state. More... | |
| sl.OBJECT_ACTION_STATE | actionState |
| Defines the object action state. More... | |
| float | confidence |
| Defines the detection confidence value of the object. A lower confidence value means the object might not be localized perfectly or the label (OBJECT_CLASS) is uncertain. More... | |
| System.IntPtr | mask |
| Defines for the bounding_box_2d the pixels which really belong to the object (set to 255) and those of the background (set to 0). More... | |
| Vector2[] | imageBoundingBox |
| Image data. Note that Y in these values is relative from the top of the image, whereas the opposite is true in most related Unity functions. If using this raw value, subtract Y from the image height to get the height relative to the bottom. More... | |
| Vector3 | rootWorldPosition |
| Defines the object 3D centroid (Camera Frame since this is what we used in Unity). More... | |
| Vector3 | headWorldPosition |
| 3D head centroid. More... | |
| Vector3 | rootWorldVelocity |
| Defines the object 3D velocity. More... | |
| Vector3[] | worldBoundingBox |
| The 3D space bounding box. given as array of vertices More... | |
| Vector3[] | headBoundingBox |
| bounds the head with eight 3D points. More... | |
| Vector3[] | skeletonJointPosition |
| The 3D position of skeleton joints More... | |
| float[] | position_covariance |
| Full covariance matrix for position (3x3). Only 6 values are necessary [p0, p1, p2] [p1, p3, p4] [p2, p4, p5] More... | |
| int | numObject |
| How many objects were detected this frame. Use this to iterate through the top of objectData; objects with indexes greater than numObject are empty. More... | |
| ulong | timestamp |
| Timestamp of the image where these objects were detected. More... | |
| int | isNew |
| Defines if the object frame is new (new timestamp) More... | |
| int | isTracked |
| Defines if the object is tracked More... | |
| sl.DETECTION_MODEL | detectionModel |
| Current detection model used. More... | |
| ObjectDataSDK[] | objectData |
| Array of objects More... | |
Gives the result of the addition between a Matrix3x3 and a specified scalar value.
| a | The scalar value |
|
inline |
Resolution of the image.
| width | |
| height |
|
inline |
if a sensor type is available on the device
| sensor_type |
|
inline |
Constructor
|
inline |
Constructor. Sets default initialization parameters recommended for Unity.
|
static |
| float [] m |
3x3 matrix as the float array.
Referenced by Matrix3x3.multiply().
| System.UIntPtr width |
width in pixels.
Referenced by Resolution.Resolution().
| System.UIntPtr height |
height in pixels.
Referenced by Resolution.Resolution().
| int x |
x coordinates of top-left corner.
| int y |
y coordinates of top-left corner.
| int width |
width of the rectangle in pixels.
| int height |
height of the rectangle in pixels.
| bool valid |
boolean that indicates if tracking is activated or not. You should check that first if something wrong.
| ulong timestamp |
Timestamp of the pose. This timestamp should be compared with the camera timestamp for synchronization.
| Quaternion rotation |
orientation from the pose.
| Vector3 translation |
translation from the pose.
| int pose_confidence |
Confidence/Quality of the pose estimation for the target frame. A confidence metric of the tracking[0 - 100], 0 means that the tracking is lost, 100 means that the tracking can be fully trusted.
| bool available |
Indicates if imu data is available
| ulong timestamp |
IMU Data timestamp in ns
| Vector3 angularVelocity |
Gyroscope calibrated data in degrees/second.
| Vector3 linearAcceleration |
Accelerometer calibrated data in m/s².
| Vector3 angularVelocityUncalibrated |
Gyroscope raw/uncalibrated data in degrees/second.
| Vector3 linearAccelerationUncalibrated |
Accelerometer raw/uncalibrated data in m/s².
| Quaternion fusedOrientation |
Orientation from gyro/accelerator fusion.
| Matrix3x3 orientationCovariance |
Covariance matrix of the quaternion.
| Matrix3x3 angularVelocityCovariance |
Gyroscope raw data covariance matrix.
| Matrix3x3 linearAccelerationCovariance |
Accelerometer raw data covariance matrix.
| bool available |
Indicates if mag data is available
| ulong timestamp |
mag Data timestamp in ns
| float pressure |
Barometer ambient air pressure in hPa
| float relativeAltitude |
Relative altitude from first camera position
| bool available |
Indicates if mag data is available
| ulong timestamp |
mag Data timestamp in ns
| Vector3 magneticField |
Magnetic field calibrated values in uT
| Vector3 magneticFieldUncalibrated |
Magnetic field raw values in uT
| float imu_temp |
Temperature from IMU device ( -100 if not available)
| float barometer_temp |
Temperature from Barometer device ( -100 if not available)
| float onboard_left_temp |
Temperature from Onboard left analog temperature sensor ( -100 if not available)
| float onboard_right_temp |
Temperature from Onboard right analog temperature sensor ( -100 if not available)
| ImuData imu |
Contains Imu Data
| BarometerData barometer |
Contains Barometer Data
| MagnetometerData magnetometer |
Contains Mag Data
| TemperatureSensorData temperatureSensor |
Contains Temperature Data
| int camera_moving_state |
Indicated if camera is : -> Static : 0 -> Moving : 1 -> Falling : 2
| int image_sync_val |
Indicates if the current sensors data is sync to the current image (>=1). Otherwise, value will be 0.
| SENSOR_TYPE type |
The type of the sensor as DEVICE_SENSORS.
| float resolution |
The resolution of the sensor.
| float sampling_rate |
The sampling rate (or ODR) of the sensor.
| float2 range |
The range values of the sensor. MIN: range.x
, MAX: range.y
| float noise_density |
also known as white noise, given as continous (frequency independant). Units will be expressed in sensor_unit/√(Hz). NAN
if the information is not available.
| float random_walk |
derived from the Allan Variance, given as continous (frequency independant). Units will be expressed in sensor_unit/s/√(Hz).NAN
if the information is not available.
| SENSORS_UNIT sensor_unit |
The string relative to the measurement unit of the sensor.
| bool isAvailable |
Referenced by SensorsConfiguration.isSensorAvailable().
| uint firmware_version |
The firmware version of the sensor module, 0 if no sensors are available (ZED camera model).
| float4 camera_imu_rotation |
contains rotation between IMU frame and camera frame.
| float3 camera_imu_translation |
contains translation between IMU frame and camera frame.
| SensorParameters accelerometer_parameters |
Configuration of the accelerometer device.
Referenced by SensorsConfiguration.isSensorAvailable().
| SensorParameters gyroscope_parameters |
Configuration of the gyroscope device.
Referenced by SensorsConfiguration.isSensorAvailable().
| SensorParameters magnetometer_parameters |
Configuration of the magnetometer device.
Referenced by SensorsConfiguration.isSensorAvailable().
| SensorParameters barometer_parameters |
Configuration of the barometer device
Referenced by SensorsConfiguration.isSensorAvailable().
| sl.SENSING_MODE sensingMode |
Defines the algorithm used for depth map computation, more info : SENSING_MODE definition.
Referenced by ZEDCamera.dll_RuntimeParameters.dll_RuntimeParameters(), and RuntimeParameters.RuntimeParameters().
| sl.REFERENCE_FRAME measure3DReferenceFrame |
Provides 3D measures (point cloud and normals) in the desired reference frame (default is REFERENCE_FRAME_CAMERA).
Referenced by ZEDCamera.dll_RuntimeParameters.dll_RuntimeParameters(), and RuntimeParameters.RuntimeParameters().
| bool enableDepth |
Defines whether the depth map should be computed.
Referenced by ZEDCamera.dll_RuntimeParameters.dll_RuntimeParameters().
| int confidenceThreshold |
Defines the confidence threshold for the depth. Based on stereo matching score.
Referenced by ZEDCamera.dll_RuntimeParameters.dll_RuntimeParameters().
| int textureConfidenceThreshold |
Defines texture confidence threshold for the depth. Based on textureness confidence.
Referenced by ZEDCamera.dll_RuntimeParameters.dll_RuntimeParameters().
| float fx |
Focal X.
| float fy |
Focal Y.
| float cx |
Optical center X.
| float cy |
Optical center Y.
| double [] disto |
Distortion coefficients.
| float vFOV |
Vertical field of view after stereo rectification.
Referenced by ZEDCamera.GetFOV().
| float hFOV |
Horizontal field of view after stereo rectification.
| float dFOV |
Diagonal field of view after stereo rectification.
| Resolution resolution |
Camera's current resolution.
| CameraParameters leftCam |
Parameters of the left sensor.
Referenced by ZEDCamera.GetFOV().
| CameraParameters rightCam |
Parameters of the right sensor.
| Quaternion Rot |
Rotation (using Rodrigues' transformation) between the two sensors. Defined as 'tilt', 'convergence' and 'roll'.
| Vector3 Trans |
Translation between the two sensors. T[0] is the distance between the two cameras in meters.
| sl.INPUT_TYPE inputType |
Referenced by ZEDCamera.dll_initParameters.dll_initParameters(), and InitParameters.InitParameters().
| sl.RESOLUTION resolution |
Resolution the ZED will be set to.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters(), and InitParameters.InitParameters().
| int cameraFPS |
Requested FPS for this resolution. Setting it to 0 will choose the default FPS for this resolution.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| int cameraDeviceID |
ID for identifying which of multiple connected ZEDs to use.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| string pathSVO = "" |
Path to a recorded SVO file to play, including filename.
| bool svoRealTimeMode |
In SVO playback, this mode simulates a live camera and consequently skipped frames if the computation framerate is too slow.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| UNIT coordinateUnit |
Define a unit for all metric values (depth, point clouds, tracking, meshes, etc.) Meters are recommended for Unity.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| COORDINATE_SYSTEM coordinateSystem |
This defines the order and the direction of the axis of the coordinate system. LEFT_HANDED_Y_UP is recommended to match Unity's coordinates.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| sl.DEPTH_MODE depthMode |
Quality level of depth calculations. Higher settings improve accuracy but cost performance.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters(), and InitParameters.InitParameters().
| float depthMinimumDistance |
Minimum distance from the camera from which depth will be computed, in the defined coordinateUnit.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| float depthMaximumDistance |
When estimating the depth, the SDK uses this upper limit to turn higher values into TOO_FAR ones. The current maximum distance that can be computed in the defined UNIT. Changing this value has no impact on performance and doesn't affect the positional tracking nor the spatial mapping. (Only the depth, point cloud, normals)
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| FLIP_MODE cameraImageFlip |
Defines if images are horizontally flipped.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| bool enableRightSideMeasure |
Defines if measures relative to the right sensor should be computed (needed for MEASURE_<XXX>_RIGHT).
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| bool cameraDisableSelfCalib |
True to disable self-calibration and use the optional calibration parameters without optimizing them. False is recommended, so that calibration parameters can be optimized.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| bool sdkVerbose |
True for the SDK to provide text feedback.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| int sdkGPUId |
ID of the graphics card on which the ZED's computations will be performed.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| string sdkVerboseLogFile = "" |
If set to verbose, the filename of the log file into which the SDK will store its text output.
| bool depthStabilization |
True to stabilize the depth map. Recommended.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| string optionalSettingsPath = "" |
Optional path for searching configuration (calibration) file SNxxxx.conf. (introduced in ZED SDK 2.6)
| bool sensorsRequired |
True to stabilize the depth map. Recommended.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| string ipStream = "" |
Path to a recorded SVO file to play, including filename.
| ushort portStream = 30000 |
Path to a recorded SVO file to play, including filename.
| bool enableImageEnhancement = true |
Whether to enable improved color/gamma curves added in ZED SDK 3.0.
Referenced by ZEDCamera.dll_initParameters.dll_initParameters().
| bool status |
Status of the current frame. True if recording was successful, false if frame could not be written.
| double current_compression_time |
Compression time for the current frame in milliseconds.
| double current_compression_ratio |
Compression ratio (% of raw size) for the current frame.
| double average_compression_time |
Average compression time in millisecond since beginning of recording.
| double average_compression_ratio |
Compression ratio (% of raw size) since recording was started.
|
static |
Maximum number of chunks. It's best to get relatively few chunks and to update them quickly.
|
static |
Total vertices in each chunk/submesh.
|
static |
Total triangles in each chunk/submesh.
|
static |
Total indices per chunk/submesh.
| sl.ERROR_CODE ErrorCode |
Error code returned by the ZED SDK when the plane detection was attempted.
| PLANE_TYPE Type |
Type of the plane (floor, hit_vertical, etc.)
| Vector3 PlaneNormal |
Normalized vector of the direction the plane is facing.
| Vector3 PlaneCenter |
Camera-space position of the center of the plane.
| Vector3 PlaneTransformPosition |
Camera-space position of the center of the plane.
| Quaternion PlaneTransformOrientation |
Camera-space rotation/orientation of the plane.
| Vector4 PlaneEquation |
The mathematical Vector4 equation of the plane.
| Vector2 Extents |
How wide and long/tall the plane is in meters.
| int BoundsSize |
How many points make up the plane's bounds, eg. the array length of Bounds.
| Vector3 [] Bounds |
Positions of the points that make up the edges of the plane's mesh.
| bool imageSync |
Defines if the object detection is synchronized to the image or runs in a separate thread.
| bool enableObjectTracking |
Defines if the object detection will track objects across multiple images, instead of an image-by-image basis.
| bool enable2DMask |
Defines if the SDK will calculate 2D masks for each object. Requires more performance, so don't enable if you don't need these masks.
| sl.DETECTION_MODEL detectionModel |
Defines the AI model used for detection
| bool enable_body_fitting |
Defines if the body fitting will be applied.
| float detectionConfidenceThreshold |
The detection confidence threshold between 1 and 99. A confidence of 1 means a low threshold, more uncertain objects and 99 very few but very precise objects. Ex: If set to 80, then the SDK must be at least 80% sure that a given object exists before reporting it in the list of detected objects. If the scene contains a lot of objects, increasing the confidence can slightly speed up the process, since every object instance is tracked. Default confidence threshold value, used as a fallback when ObjectDetectionRuntimeParameters.object_confidence_threshold is partially set
| int [] objectClassFilter |
Select which object type to detect and track. Fewer objects type can slightly speed up the process, since every objects are tracked. Only the selected classes in the vector will be outputted. In order to get all the available classes, the filter vector must be empty : object_class_filter = new int[(int)sl.OBJECT_CLASS.LAST)];
To select a set of specific object classes, like person and vehicle for instance: objectClassFilter[(int)sl.OBJECT_CLASS.PERSON] = Convert.ToInt32(true); objectClassFilter[(int)sl.OBJECT_CLASS.VEHICLE] = Convert.ToInt32(true);
| int [] object_confidence_threshold |
Defines a detection threshold for each classes, can be empty for some classes, ObjectDetectionRuntimeParameters.detectionConfidenceThreshold will be taken as fallback/default value.
| int id |
Object identification number, used as a reference when tracking the object through the frames.
| sl.OBJECT_CLASS objectClass |
Object category. Identify the object type.
| sl.OBJECT_SUBCLASS objectSubClass |
Object subclass.
| sl.OBJECT_TRACK_STATE objectTrackingState |
Defines the object tracking state.
| sl.OBJECT_ACTION_STATE actionState |
Defines the object action state.
| float confidence |
Defines the detection confidence value of the object. A lower confidence value means the object might not be localized perfectly or the label (OBJECT_CLASS) is uncertain.
| System.IntPtr mask |
Defines for the bounding_box_2d the pixels which really belong to the object (set to 255) and those of the background (set to 0).
| Vector2 [] imageBoundingBox |
Image data. Note that Y in these values is relative from the top of the image, whereas the opposite is true in most related Unity functions. If using this raw value, subtract Y from the image height to get the height relative to the bottom.
0 ----— 1 | obj | 3-----— 2
| Vector3 rootWorldPosition |
Defines the object 3D centroid (Camera Frame since this is what we used in Unity).
| Vector3 headWorldPosition |
3D head centroid.
| Vector3 rootWorldVelocity |
Defines the object 3D velocity.
| Vector3 [] worldBoundingBox |
The 3D space bounding box. given as array of vertices
1 ------—2 /| /| 0 |-----—3 | | | | | | 5-----—|-6 |/ |/ 4 ------—7
| Vector3 [] headBoundingBox |
bounds the head with eight 3D points.
| Vector3 [] skeletonJointPosition |
The 3D position of skeleton joints
| float [] position_covariance |
Full covariance matrix for position (3x3). Only 6 values are necessary [p0, p1, p2] [p1, p3, p4] [p2, p4, p5]
| int numObject |
How many objects were detected this frame. Use this to iterate through the top of objectData; objects with indexes greater than numObject are empty.
| ulong timestamp |
Timestamp of the image where these objects were detected.
| int isNew |
Defines if the object frame is new (new timestamp)
| int isTracked |
Defines if the object is tracked
| sl.DETECTION_MODEL detectionModel |
Current detection model used.
| ObjectDataSDK [] objectData |
Array of objects


Employee Firstname
employee lastname
employee gender
employee salary
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{{employee.lname}}
{{employee.gender}}
{{employee.salary}}


This page contains just some of my extensive work in creating animations, primarly using the program Adobe Animate. Animating is another one of my hobbies and as a result I have developed an extensive knowledge within the program as well as a large body of work.
This is an animation that I created for my Unit 3/4 Creative Digital Media class on the book "Frankenstein". We were tasked with creating an opening sequence for a film adaption of a book and this is the work that I produced from the task.
This is the Kinetic Typography that I produced to a section of Eminem's song "Rap God". This was created for my year 9 digital storytelling class as we were tasked with creating kinetic typography to a song or dialogue.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.


Fill in the fields below in order to finish setting up your session, then press the Start Session button below to begin.
After the visible (or focal) bear(s) have been entered, push the Human Dashboard button on the bottom of the page to enter the human scan. This should be done whenever something changes or every 15 minutes.
Observer focuses on 1 animal and records all behavioural observations during a specified time period – usually 1-4 hours. If the choices are a sow and cubs, always focus on the sow. This sampling technique allows the observer to concentrate on the behaviour of the chosen animal for the duration of the sampling period. Within the focal sampling session it is appropriate to scan at regular intervals and update the location and activities of other bears and humans.
Observer uses predetermined scanning periods alternating with resting periods to record the behaviour of all bears and humans in a more general way than the focal scan. This allows for a snapshot of behaviour at regular intervals. Common sampling intervals are for 2 minutes every 10 or 15 minutes.
Set this timer for the scheduled session length. This will not prevent ending the session at an earlier time, but is important when following a study design with statistical parameters.
Set the scheduled overall session length. Set the number of minutes you are planning to scan and the minutes for resting. For instance, if you plan to scan for 3 minutes every 15 minutes you would set the active time to 3 and the resting timer to 12.


| WinAPI Wrapper |
The Edit class extends the Edit standard Windows control with C++ functionality. It is derived from the Control class. See Edit Controls Overview for details.
The Edit class has the following functions:
| Function | Related message | Description |
|---|---|---|
| Edit | - | Creates the object optionally assigning an existing control handle to it. |
| Create | CreateWindowEx | Creates the control. |
| CanUndo | EM_CANUNDO | Determines whether there are any undoable actions. |
| CharFromPos | EM_CHARFROMPOS | Finds the closest character to a specified pixel. |
| EmptyUndoBuffer | EM_EMPTYUNDOBUFFER | Empties the undo buffer. |
| FormatLines | EM_FMTLINES | Sets whether the edit control should insert CR-CR-LF sequences on broken line ends. |
| GetFirstVisibleLine | EM_GETFIRSTVISIBLELINE | Retrieves the index of the first visible line. |
| GetHandle | EM_GETHANDLE | Returns memory handle of the edit buffer. |
| GetLimitText | EM_GETLIMITTEXT | Returns maximum number of characters that the user can enter. |
| GetLine | EM_GETLINE | Returns a line of text. |
| GetLineCount | EM_GETLINECOUNT | Returns number of lines in the edit box. |
| GetMargins | EM_GETMARGINS | Returns margin sizes. |
| GetModify | EM_GETMODIFY | Checks whether the contents of the edit were modified. |
| GetPasswordChar | EM_GETPASSWORDCHAR | Returns the current password character. |
| GetRect | EM_GETRECT | Returns the formatting rectangle. |
| GetSel | EM_GETSEL | Retrieves starting and ending positions of the currente selection. |
| GetThumb | EM_GETTHUMB | Returns the position of the scrollbox. |
| LimitText | EM_LIMITTEXT | Sets the maximum number of characters the user can enter. |
| LineFromChar | EM_LINEFROMCHAR | Returns line index of the line containing the character with the specified index. |
| LineIndex | EM_LINEINDEX | Returns character index of the first character in a line. |
| LineLength | EM_LINELENGTH | Returns the length of a line. |
| LineScroll | EM_LINESCROLL | Scrolls the text. |
| PosFromChar | EM_POSFROMCHAR | Returns client coordinates of a specified character (index). |
| ReplaceSel | EM_REPLACESEL | Replaces selection with a string. |
| Scroll | EM_SCROLL | Scrolls the text. |
| ScrollCaret | EM_SCROLLCARET | Scrolls until the caret is visible. |
| SetHandle | EM_SETHANDLE | Sets memory handle of the edit buffer. |
| SetLimitText | EM_SETLIMITTEXT | The same as LimitText. |
| SetMargins | EM_SETMARGINS | Sets margin sizes. |
| SetModify | EM_SETMODIFY | Sets the modify flag. |
| SetPasswordChar | EM_SETPASSWORDCHAR | Sets password character. |
| SetReadOnly | EM_SETREADONLY | Enables or disables writing. |
| SetRect | EM_SETRECT | Sets the formatting rectangle. |
| SetRectNP | EM_SETRECTNP | Same as SetRect, but does not redraw the control. |
| SetSel | EM_SETSEL | Selects a range of text. |
| SetTabStops | EM_SETTABSTOPS | Sets the tab stops. |
| Undo | EM_UNDO | Undoes last user modification. |
WinAPI Wrapper, WinAPI Wrapper classes, Edit Controls Overview Edit Control Messages


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2 Chronicles 14:9
And there came out against them Zerah the Ethiopian with an host of a thousand thousand, and three hundred chariots; and came unto Mareshah.


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The Apprentice's Lord Sugar sparks new racism row over jab at Venezuelan star
The Apprentice’s Lord Alan Sugar told fired Venezuelan candidate Jemelin Artigas her ‘country was in a state’ in a new race row, it’s been claimed.
Jemelin became the latest star eliminated from this year’s series last week, but reports state that before she was fired, Lord Sugar made the dig at her native country.
In the boardroom, it’s reported by The Sun that Lord Sugar told her: ‘No wonder your country is in a state – it’s because it’s full of people like you.’
Currently, Venezuela is in an economic crisis, with power outages and water shortages affecting those that live there.
…Then of course controversial candidate Lottie Lion (who’s had her own share of racist scandals since filming the show) had to chime in, and the whole thing exploded on Twitter.
 On The Apprentice, if you were fired, it’s because you were performing poorly, not the colour of your skin.’
‘[Lord Sugar] did not make this comment. People who are desperate for money and sell “stories” are the lowest.’
However, Jemelin then claimed that, actually, he did, and slammed Lottie for getting involved.
She wrote back: ‘How dare you! Comment on something doesn’t even concern you.
‘He did make this comment and however I did not sell this story it did happened now you will get exposed for who you are! [sic].’
Metro.co.uk has contacted Apprentice representatives for comment.
This year’s Apprentice has seen its fair share of scandal which kicked off when it was revealed that Lottie had threatened to ‘f*** up’ fellow candidate Lubna Farhan and told her to ‘shut up, Gandhi’ in a string of vile messages.
Across the weekend, Lubna accused Lottie of ‘learning nothing’ from the scandal when Lottie told her to ‘stop trying to stay relevant’ and Lubna accused her of faking a romance with Ryan-Mark Parsons for publicity.
Fired hopeful Souleyman Bah also spoke out, saying he too experienced similar comments during his brief stint on the show.
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The BBC later told Metro.co.uk: ‘While this happened on a private messenger service once filming had concluded, the BBC nevertheless still expects the candidates to behave appropriately.
‘The production company have looked into the issue and reported back, Lottie has been informed that her comments were wholly unacceptable and is in no doubt about our view on this.’
The Apprentice continues Wednesdays at 9pm on BBC One.
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KZN hit by yet another tornado
by Algoa FMDisaster management teams have been deployed by KZN Cooperative Governance and Traditional Affairs MEC, Sipho Hlomuka, after the province was hit by yet another tornado, this time in Utrecht between Newcastle and Dundee on Friday evening.
The South African Weather Service reported that the tornado swept through the area after 7 pm, and although several houses have been damaged, no injuries or fatalities have been reported.
“Our disaster management teams are on the ground providing relevant support to the affected families. This incident comes at a time when the province is mourning the loss of 23 lives due to weather-related incidents since October; this includes the tornado that struck New Hanover in the Midlands last week Tuesday,” Hlomuka said in the statement.
Inclement weather conditions are expected to continue across the province, with the Weather Service issuing a warning for severe thunderstorms for large parts of the province on Saturday, bringing with it the possibility of strong wind, hail, and heavy downpours.
- African News Agency