A collection of random and hastily hacked together scripts for investigating EU-DCC

Overview

Validation tools

This repository contains scripts that help you validate QR codes.

It's hacky, and a warning for Apple Silicon users: the dependencies I use are a mess on your platform. I've given up trying to get it working.

Initializing

First make sure that you have Python 3.9+ installed and working.

Secondly, install all the dependencies:

pip3 install -r requirements.txt

Thirdly, update trustlist.json using the response from the gateway.

No access to the gateway? Then you can use the German trust list:

https://de.dscg.ubirch.com/trustList/DSC/

Just remove the first line (it's a signature of the document).

validate_quality_assurance.py

This tool validates the encoding, schema and signature of all the Quality Assurance QR codes.

The QA repository can be found here:

https://github.com/eu-digital-green-certificates/dcc-quality-assurance

It has the following arguments, both of which are optional and have sensible defaults:

--repo 'path/to/dcc-quality-assurance'
--countries 'NL,DE,SE'

validate_hcert.py

This tool validates the encoding, schema and signature of all the hcert string. It reads the hcerts from std-in, one line per hcert, and validates in serial.

Example (unix-likes)

cat examples/hcert-examples.txt | python3 validate_hcert.py

Example (windows)

type examples\hcert-examples.txt | python validate_hcert.py

qr_to_hcert.py

This little tool converts a QR into a hcert string and dumps that to std-out.

Now you can do this to validate a QR code:

python qr_to_hcert.py examples/VAC.png | python validate_hcert.py

hcert_to_qr.py

Takes QRs from std:in; for each line, generates a QR. Dumps all QRs to std:out as base64. The last QR created is saved as "my.png" in the current folder

cat examples/hcert.txt | python hcert_to_qr.py

print_payload_hcert.py

Takes QRs from std:in; for each line, unpacks hcert and dumps all of the output to std:out.

cat examples/hcert.txt | python print_payload_hcert.py

print_payload_hcert.py

Takes a QR, parses it, unpacks hcert and dumps all of the output to std:out.

python print_payload_qr.py --file my.png
Owner
Ryan Barrett
Ryan Barrett
Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting

Guided Internet-delivered Cognitive Behavioral Therapy Adherence Forecasting #Dataset The folder "Dataset" contains the dataset use in this work and m

0 Jan 08, 2022
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python

MiraiML Mirai: future in japanese. MiraiML is an asynchronous engine for continuous & autonomous machine learning, built for real-time usage. Usage In

Arthur Paulino 25 Jul 27, 2022
Official Code for "Non-deep Networks"

Non-deep Networks arXiv:2110.07641 Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun Overview: Depth is the hallmark of DNNs. But more depth m

Ankit Goyal 567 Dec 12, 2022
Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):

qiskit-application-modules-demo-sessions This repo hosts demo notebooks for the Qiskit application modules demo sessions hosted on Qiskit YouTube. Par

Qiskit Community 46 Nov 24, 2022
PyBrain - Another Python Machine Learning Library.

PyBrain -- the Python Machine Learning Library =============================================== INSTALLATION ------------ Quick answer: make sure you

2.8k Dec 31, 2022
Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images

Lung Segmentation (2D) Repository features UNet inspired architecture used for segmenting lungs on chest X-Ray images. Demo See the application of the

163 Sep 21, 2022
Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO)

V-MPO Simple code to demonstrate Deep Reinforcement Learning by using an on-policy adaptation of Maximum a Posteriori Policy Optimization (MPO) in Pyt

Nugroho Dewantoro 9 Jun 06, 2022
Analysis of Smiles through reservoir sampling & RDkit

Analysis of Smiles through reservoir sampling and machine learning (under development). This is a simple project that includes two Jupyter files for t

Aurimas A. Nausėdas 6 Aug 30, 2022
Deep Learning tutorials in jupyter notebooks.

DeepSchool.io Sign up here for Udemy Course on Machine Learning (Use code DEEPSCHOOL-MARCH to get 85% off course). Goals Make Deep Learning easier (mi

Sachin Abeywardana 1.8k Dec 28, 2022
Compare outputs between layers written in Tensorflow and layers written in Pytorch

Compare outputs of Wasserstein GANs between TensorFlow vs Pytorch This is our testing module for the implementation of improved WGAN in Pytorch Prereq

Hung Nguyen 72 Dec 20, 2022
Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker

Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker A example FastAPI PyTorch Model deploy with nvidia/cuda base docker. Model

Ming 68 Jan 04, 2023
A Dataset of Python Challenges for AI Research

Python Programming Puzzles (P3) This repo contains a dataset of python programming puzzles which can be used to teach and evaluate an AI's programming

Microsoft 850 Dec 24, 2022
Woosung Choi 63 Nov 14, 2022
Code for MarioNette: Self-Supervised Sprite Learning, in NeurIPS 2021

MarioNette | Webpage | Paper | Video MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov, Michaël Gharbi, Matthew Fisher, Vitor Guizilini, Ale

Dima Smirnov 28 Nov 18, 2022
C3d-pytorch - Pytorch porting of C3D network, with Sports1M weights

C3D for pytorch This is a pytorch porting of the network presented in the paper Learning Spatiotemporal Features with 3D Convolutional Networks How to

Davide Abati 311 Jan 06, 2023
Predictive Maintenance LSTM

Predictive-Maintenance-LSTM - Predictive maintenance study for Complex case study, we've obtained failure causes by operational error and more deeply by design mistakes.

Amir M. Sadafi 1 Dec 31, 2021
Code and Experiments for ACL-IJCNLP 2021 Paper Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

Code and Experiments for ACL-IJCNLP 2021 Paper Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

Sidd Karamcheti 50 Nov 16, 2022
Pytorch Implementation of rpautrat/SuperPoint

SuperPoint-Pytorch (A Pure Pytorch Implementation) SuperPoint: Self-Supervised Interest Point Detection and Description Thanks This work is based on:

76 Dec 27, 2022
Research using Cirq!

ReCirq Research using Cirq! This project contains modules for running quantum computing applications and experiments through Cirq and Quantum Engine.

quantumlib 230 Dec 29, 2022
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

LibraNet This repository includes the official implementation of LibraNet for crowd counting, presented in our paper: Weighing Counts: Sequential Crow

Hao Lu 18 Nov 05, 2022