A script with useful functions to manage VMs in VMWare vCenter

To install the module, run the following command in PowerShell:

Install-Module -Name VMware.PowerCLI -AllowClobber -Force

You may need to change the execution policy to run the script. To do this you have a few options:

You can change the execution policy for the current PowerShell session only, without affecting the system-wide execution policy:

Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass

You can change the execution policy permanently for all PowerShell sessions. Open a PowerShell window with “Run as Administrator” option and run:

Set-ExecutionPolicy RemoteSigned

This will allow running unsigned scripts that you write on your local computer and signed scripts from the Internet. Please note that this changes the policy permanently. If you want to change it back to the default, run:

Set-ExecutionPolicy Restricted

You can also bypass the execution policy at run-time with this command:

powershell.exe -ExecutionPolicy Bypass -File "C:\FILE\LOCATION\vm-ssrc.ps1"

C:\FILE\LOCATION\vm-ssrc.ps1

See latest changes here.

This project is licensed under the Mozilla Public License 2.0 – see the LICENSE file for details.

• VMware.PowerCLI
• VMware.PowerCLI Documentation
• VMware.PowerCLI Cmdlet Reference

“Konturno” means “contour” in Esperanto.

Our motto is “drop us a line.”

Open one of the links below. When the model appears and starts to rotate click the ‘let’s dance’ button at top right.

Use 1|2|3 or left|wheel|right fingers to rotate|zoom|pan. Change the ‘line width’ in left menu.

Click the ‘⌂’ button at lower right to come back here.

Please note that the frontend is on a separate repository. You can find it here.

• About
• Getting started
  • 1. Clone the repository
  • 2. Configure the environment
  • 3. Install dependencies
  • 4. Generate Prisma Client
  • 5. Run the project
• Credits

This is the backend express server for frontend service of WGS Absence. This project is part of the WGS Absence project.

Technologies used:

• Express (Node.js)
• Prisma (ORM)
• Auth0 (JWT Authentication and Authorization)
• Multer (File Upload)
• Archiver (Zip File Creator)
• Express Validator (Request Validation)
• Nodemailer (Email Sender)

I only tested this project on Windows 7+. I don’t know if it works on other OS.

git clone https://github.com/chiqors/wgs-absence-backend.git

.env.example is the example of the environment file. Copy it to .env and configure it. ngrok/ngrok.example.yml is the example of the ngrok configuration file. Copy it to ngrok/ngrok_config.yml and configure it.

pnpm install

pnpm prisma:prisma:migrate-dev

pnpm prisma:generate

pnpm dev

pnpm start:ngrok

• Thanks to Mailgun for providing email service.
• Thanks to .tech for providing domain name.
• Thanks to Vercel for providing hosting service for both frontend and backend.
• Thanks to Twilio for providing SMS service. (Not implemented yet)

Stamper provides a way of turning any image into a token for use with tabletop games.

Stamper supports loading an image from the local filesystem or directly from a website and turning it into a token. The resolution of the final token is customizable, and layer sizes are automatically resized to fit the desired output-resolution.

• Drag-and-drop to load images. Load any image from a local file or skip the download by drag-and-dropping from your browser.
• Border and overlay selection. Stamper comes with simple borders and overlays that can be recolored and layered on top of the loaded image.
• Custom layers. Adding your own borders and overlays to Stamper is fast and easy. Layers can be SVG or bitmap image files.
• Direct upload to Imgur. Finished tokens can be saved locally or uploaded directly to Imgur for easy sharing.
• Custom token sizes. Stamper lets you customize the output size of your token, and scales the layers to fit.
• Easy image manipulation. Pan-, zoom-, and rotation-functionality is supported through simple mouse-actions.
• Add text to your token. Stamper lets you place text on top of your token in any position, size, font, rotation, and color.

Stamper layers can be added automatically through the UI with the option of autogenerating the mask, or by manually placing json files in the layers folder. The structure of the json files is as follows:

• name: The name of the layer. Required
• file: A relative path from the layers-folder to the image file. This is the image that is shown on top of the input image in Stamper. Required
• mask: A relative path from the layers-folder to the image to use as a mask. On border layers, this mask is applied to the underlying input image. On overlay layers, this mask is applied to the overlay itself. Pixels with the color #FF00FF00 (#AARRGGBB) will be removed from the underlying image, all other colors are ignored. Optional
• type: The layer type. Allowed values are border or overlay. Required

{
  "name": "Circle",
  "file": "svg\\bCircle.svg",
  "mask": "svg\\bCircle_mask.svg",
  "type": "border"
}

Stamper is Windows-only and requires v4.6.2 or newer of the .NET Framework. You can get the latest release of Stamper here.

Released under the MIT license.

Welcome to the newsroom! I’ve just accepted a data visualization position for a major metro paper. I am tasked with analyzing the current trends shaping people’s lives, as well as creating charts, graphs, and interactive elements to help readers understand your findings.

The editor wants to run a series of feature stories about the health risks facing particular demographics. She’s counting on me to sniff out the first story idea by sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

The data set included with the assignment is based on 2014 ACS 1-year estimates: https://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml, The current data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for “margin of error.”

1. Used D3-Library

2. html and Javascript

3. Inside your local git repository

5. Use the d3-tip.js plugin developed by Justin Palmer—we’ve already included this plugin in your assignment directory.

CHALLENGE COMPLETED!!

• You need to create a scatter plot between two of the data variables such as Healthcare vs. Poverty or Smokers vs. Age.

• Using the D3 techniques create a scatter plot that represents each state with circle elements. I code this graphic in the app.js file, which have the Basic Chart coding. Pull in the data from data.csv by using the d3.csv function.

• Included state abbreviations in the circles.

• Create and situate your axes and labels to the left and bottom of the chart.

• Used python -m http.server to run the visualization. This hosted the page at localhost:8000 in my web browser.

• Used David Gotz’s example to see how to implement tooltips with d3-tip.

Why making a static graphic when D3 lets you interact with my data?

CHALLENGE COMPLETED!!

• Included more demographics and more risk factors.
• Placed additional labels in my scatter plot and give them click events so that your users can decide which data to display. Animated the transitions for your circles’ locations as well as the range of your axes.
• Complete the extreme challenge and create three for each axis!!!

CHALLENGE COMPLETED!!

• Binded all of the CSV data to my circles. This determine the x or y values when I click the labels.

CHALLENGE COMPLETED!!

• Added data layers for letting the ticks on the axes allow us to infer approximate values for each circle.

• Used tooltips in my D3 graphics to reveal a specific element’s data when user hovers their cursor over the element. Added tooltips to my circles and displayed each tooltip with the data that the user has selected.

• Completed my analysis with detailed explanations about the data behaviour

CHALLENGE COMPLETED!!

Learn D3

Updating graphs in D3

D3 enter, update, exit

D3 dynamic button

Evaluation parameter metrics:

• Complete all steps in the core assignment

• Challenge myself with the Bonus task!

• Coherency of scatter plot (labels, ticks)

• Visual attraction

• Professionalism

• Create a new repository on GitHub called D3-Challenge

GREAT CHALLENGE!

Welcome to the newsroom! I’ve just accepted a data visualization position for a major metro paper. I am tasked with analyzing the current trends shaping people’s lives, as well as creating charts, graphs, and interactive elements to help readers understand your findings.

The editor wants to run a series of feature stories about the health risks facing particular demographics. She’s counting on me to sniff out the first story idea by sifting through information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System.

The data set included with the assignment is based on 2014 ACS 1-year estimates: https://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml, The current data set includes data on rates of income, obesity, poverty, etc. by state. MOE stands for “margin of error.”

1. Used D3-Library

2. html and Javascript

3. Inside your local git repository

5. Use the d3-tip.js plugin developed by Justin Palmer—we’ve already included this plugin in your assignment directory.

CHALLENGE COMPLETED!!

• You need to create a scatter plot between two of the data variables such as Healthcare vs. Poverty or Smokers vs. Age.

• Using the D3 techniques create a scatter plot that represents each state with circle elements. I code this graphic in the app.js file, which have the Basic Chart coding. Pull in the data from data.csv by using the d3.csv function.

• Included state abbreviations in the circles.

• Create and situate your axes and labels to the left and bottom of the chart.

• Used python -m http.server to run the visualization. This hosted the page at localhost:8000 in my web browser.

• Used David Gotz’s example to see how to implement tooltips with d3-tip.

Why making a static graphic when D3 lets you interact with my data?

CHALLENGE COMPLETED!!

• Included more demographics and more risk factors.
• Placed additional labels in my scatter plot and give them click events so that your users can decide which data to display. Animated the transitions for your circles’ locations as well as the range of your axes.
• Complete the extreme challenge and create three for each axis!!!

CHALLENGE COMPLETED!!

• Binded all of the CSV data to my circles. This determine the x or y values when I click the labels.

CHALLENGE COMPLETED!!

• Added data layers for letting the ticks on the axes allow us to infer approximate values for each circle.

• Used tooltips in my D3 graphics to reveal a specific element’s data when user hovers their cursor over the element. Added tooltips to my circles and displayed each tooltip with the data that the user has selected.

• Completed my analysis with detailed explanations about the data behaviour

CHALLENGE COMPLETED!!

Learn D3

Updating graphs in D3

D3 enter, update, exit

D3 dynamic button

Evaluation parameter metrics:

• Complete all steps in the core assignment

• Challenge myself with the Bonus task!

• Coherency of scatter plot (labels, ticks)

• Visual attraction

• Professionalism

• Create a new repository on GitHub called D3-Challenge

GREAT CHALLENGE!

A Landing Page Bootcamp DNC é uma página de destino desenvolvida para promover um bootcamp exclusivo oferecido pela DNC. O evento é direcionado a alunos que desejam acelerar suas carreiras em tecnologia com uma semana intensiva de aprendizado nas áreas de Back-End, Front-End e Banco de Dados.

O design da página é inspirado na estética moderna e limpa, com foco na usabilidade e em uma experiência de usuário agradável. O layout é responsivo, garantindo que a página seja acessível e funcional em diferentes dispositivos.

• Cabeçalho Navegacional: Links para “Home”, “Últimas Edições” e “Requisitos para Participar”, com um botão de login.
• Seção Principal: Apresenta o evento com um título e uma descrição atraente destacando a oportunidade de acelerar a carreira.
• Formulário de Inscrição: Coleta informações dos usuários, incluindo nome, sobrenome, área de interesse, e-mail, telefone e uma frase criativa.
• Rodapé: Informações sobre as escolas da DNC, informações sobre a empresa, e links para os termos de uso e política de privacidade.

• HTML: Estrutura da página.
• CSS: Estilização e responsividade.
• Google Fonts: Fonte utilizada na página.

1. Clone o Repositório:

   git clone https://github.com/seu_usuario/landing-page-bootcamp-dnc.git
   cd landing-page-bootcamp-dnc
   

2. Abra o Arquivo HTML:

• Abra index.html em seu navegador para visualizar a página.

Sugestões e melhorias são bem-vindas! Se você encontrar problemas ou tiver sugestões, sinta-se à vontade para abrir uma issue ou enviar um pull request.

Este projeto está licenciado sob a MIT License.

This repository is the implementation of GPS for Person Re-Identifications task. Our model achieved 87.8, 78.7 on mean Average Precision (mAP) and 95.2, 88.2 on Cumulative Matching Characteristic (CMC) R-1 over Market1501 and DukeMTMC-ReID datasets, respectively. For the detail, please refer to link.

This repository is based on and inspired by @Hao Luo’s work. We sincerely thank for their sharing of the codes.

• The proposed framework
• Prerequisites
• Datasets
• Training
• Testing
• Citation
• License
• More information

Python3

Please install dependence package by run following command:

pip install -r requirements.txt

Market1501

• The Market1501 original dataset should be downloaded via link.

• The Market1501 attributes and body-part masks should be downloaded via link.

• The downloaded files should be extracted to dataset/market1501/ directory.

This directory is constructed as follow:

|---dataset   
|---|---market1501   
|---|---|---bounding_box_test
|---|---|---bounding_box_train
|---|---|---gt_bbox
|---|---|---gt_query
|---|---|---query
|---|---|---attribute
|---|---|---Masks
|---|---|---adj.pkl
|---|---|---glove.pkl
|---|---|---image_mask_path_dict.pkl
|---|---|...

DukeMTMC-ReID

• The DukeMTMC-ReID original dataset should be downloaded via link.

• The DukeMTMC-ReID attributes and body-part masks should be downloaded via link.

• The downloaded file should be extracted to dataset/dukemtmc/ directory.

This directory is constructed as follow:

|---dataset   
|---|---dukemtmc
|---|---|---bounding_box_test
|---|---|---bounding_box_train
|---|---|---query
|---|---|---attribute
|---|---|---Masks
|---|---|---adj.pkl
|---|---|---glove.pkl
|---|---|---image_mask_path_dict.pkl
|---|---|...

Thanks to Yutian Lin (github) for providing the Market1501 and DukeMTMC-ReID attributes.

You should download the pretrained weight of ResNet50 model via link and put to pretrained/resnet50-pretrained/ directory.

To train GPS model on Market1501 dataset, please follow:

$ python train.py --config_file configs/market1501_gps_softmax_triplet_center.yml

To train GPS model on DukeMTMC-ReID dataset, please follow:

$ python train.py --config_file configs/dukemtmc_gps_softmax_triplet_center.yml

The training scores will be printed every epoch.

In this repo, we include the pre-trained weight of GPS_market1501 and GPS_dukemtmc models.

For GPS_market1501 pretrained model. Please download the link and move to pretrained/ directory. The trained GPS_market1501 model can be tested in Market1501 test split via:

$ python test.py --config_file configs/market1501_gps_softmax_triplet_center.yml MODEL.PRETRAIN_CHOICE "('self')" TEST.WEIGHT "('pretrained/GPS_market1501.pth')"

For GPS_dukemtmc pretrained model. Please download the link and move to pretrained. The trained GPS_dukemtmc model can be tested in DukeMTMC-ReID test split via:

$ python test.py --config_file configs/dukemtmc_gps_softmax_triplet_center.yml MODEL.PRETRAIN_CHOICE "('self')" TEST.WEIGHT "('pretrained/GPS_dukemtmc.pth')"

If you use this code as part of any published research, we’d really appreciate it if you could cite the following paper:

@InProceedings{Nguyen_2021_CVPR,
    author    = {Nguyen, Binh X. and Nguyen, Binh D. and Do, Tuong and Tjiputra, Erman and Tran, Quang D. and Nguyen, Anh},
    title     = {Graph-Based Person Signature for Person Re-Identifications},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    month     = {June},
    year      = {2021},
    pages     = {3492-3501}
}

MIT License

AIOZ © 2021 All rights reserved.

AIOZ AI Homepage: https://ai.aioz.io

AIOZ Network: https://aioz.network

An application to manage bank accounts.

The program requires .NET 9.

The following icons are used from the Open Icon Library (https://sourceforge.net/projects/openiconlibrary):

application-exit-5.png / nuovext2 / LGPL-2.1
arrow-left-2.png / nuvola / LGPL-2.1
arrow-left-double-2.png / nuvola / LGPL-2.1
arrow-right-2.png / nuvola / LGPL-2.1
arrow-right-double-2.png / nuvola / LGPL-2.1
document-decrypt-3.png / oxygen / CC-BY-SA 3.0 or LGPL
document-encrypt-3.png / oxygen / CC-BY-SA 3.0 or LGPL
document-new-6.ico / oxygen / CC-BY-SA 3.0 or LGPL
document-open-2.png / echo / CC-BY-SA-3.0
document-properties-2.png / gnome / GPLv2
document-save-7.png / nuovext2 / LGPL-2.1
document-save-as-6.png / nuovext2 / LGPL-2.1
edit.png / gimp / GPLv2
edit-copy-7.png / famfamfam-silk / CC-BY-2.5 or CC-BY-3.0
go-home-8.ico / nuovext2 / LGPL-2.1
go-home-10.png / nuovext2 / LGPL-2.1
homepage.png / nuvola / LGPL-2.1
key.png / famfamfam-silk / CC-BY-2.5 or CC-BY-3.0
kgpg_info.png / nuvola / LGPL-2.1
list-add-4.ico / oxygen / CC-BY-SA 3.0 or LGPL
list-remove-4.ico / oxygen / CC-BY-SA 3.0 or LGPL