E-Ink Magic Calendar that automatically syncs to Google Calendar and runs off a battery powered Raspberry Pi Zero

Overview

MagInkCal

This repo contains the code needed to drive an E-Ink Magic Calendar that uses a battery powered (PiSugar2) Raspberry Pi Zero WH to retrieve events from a Google Calendar, format it into the desired layout, before pushing it to a Waveshare 12.48" tri-color E-Ink display. Note that the code has only been tested on the specific hardware mentioned, and customization of the code is necessary for it to work with other E-Ink displays or Battery/RTC add-ons. That said, enjoy working on your project and hopefully this helps to jump-start your magic calendar journey.

20210924_175459

Background

Back in 2019, I started a thread in Reddit to bounce an idea I had with the community: to replicate the Android Magic Calendar concept that inspired many DIY projects in the subsequent years. But specifically, I wanted it to run on battery so I could position it anywhere in house, and even hang it on the wall without a wire dangling beneath it. I also wanted the parts to be plug and play since I had neither the desire nor the steady hands needed to solder anything. After sitting on that idea for close to a year, I finally got my act together and ordered the parts I needed for this project. I posted another update to Reddit in 2020, but got overwhelmed with life/work so it took me almost another year before posting the full set of instructions and code here. An update was also posted on Reddit to share this with the community.

Hardware Required

How It Works

Through PiSugar2's web interface, the onboard RTC can be set to trigger the RPi to boot up daily at 6AM. Upon boot, a cronjob on the RPi is triggered to run a Python script that fetches calendar events from Google Calendar for the next few weeks, and formats them into the desired layout before displaying it on the E-Ink display. The RPi then shuts down to conserve battery. The calendar remains displayed on the E-Ink screen, because well, E-Ink...

Some features of the calendar:

  • Battery life is the big question so I'll address it first. I'm getting around 3-4 weeks before needing to recharge the PiSugar2. I'm fairly happy with this but I'm sure this can be extended if I optimize the code further.
  • Since I had the luxury of using red for the E-Ink display, I used it to highlight the current date, as well as recently added/updated events.
  • I don't like having long bars that span across multiple days for multi-day events, so I chose to display only the start and end dates for those events, and adding small left/right arrows accordingly,
  • Given limited space (oh why are large E-Ink screens still so expensive!) and resolution on the display, I could only show 3 events per day and an indicator (e.g. 4 more) for those not displayed
  • The calendar always starts from the current week, and displays the next four (total 35 days). If the dates cross over to the new month, it's displayed in grey instead of black.

MagInkCal Basics

Setting Up Raspberry Pi Zero

  1. Start by flashing Raspberrypi OS Lite to a MicroSD Card.

  2. After setting up the OS, run the following commmand in the RPi Terminal, and use the raspi-config interface to setup Wifi connection, enable SSH, I2C, SPI, and set the timezone to your location.

sudo raspi-config
  1. Run the following commands in the RPi Terminal to setup the environment to run the Python scripts.
sudo apt update
sudo apt-get install python3-pip
sudo apt-get install chromium-chromedriver
pip3 install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib
  1. Run the following commands in the RPi Terminal to install the libraries needed to drive the E-Ink display. See this page for more details.
sudo apt-get install python3-pil
sudo pip3 install RPi.GPIO
sudo pip3 install spidev
  1. Run the following commands in the RPi Terminal to install the web interface for PiSugar2 display. See this page for more details. After running the command, you would be able to access the web interface at http://:8421 in your browser. From there you should be able specify when you wish to schedule the PiSugar2 boot up your RPi.
curl http://cdn.pisugar.com/release/Pisugar-power-manager.sh | sudo bash
  1. Download the over the files in this repo to a folder in your PC first.

  2. In order for you to access your Google Calendar events, it's necessary to first grant the access. Follow the instructions here on your PC to get the credentials.json file from your Google API. Don't worry, take your time. I'll be waiting here.

  3. Once done, copy the credentials.json file to the "gcal" folder in this project. Run the following command on your PC. A web browser should appear, asking you to grant access to your calendar. Once done, you should see a "token.pickle" file in your "gcal" folder.

python3 quickstart.py
  1. Copy all the files over to your RPi using your preferred means.

  2. Run the following command in the RPi Terminal to open crontab.

crontab -e
  1. Specifically, add the following command to crontab so that the MagInkCal Python script runs each time the RPi is booted up.
@reboot cd /location/to/your/maginkcal && python3 maginkcal.py
  1. That's all! Your Magic Calendar should now be refreshed at the time interval that you specified in the PiSugar2 web interface!

PS: I'm aware that the instructions above may not be complete, especially when it comes to the Python libraries to be installed, so feel free to ping me if you noticed anything missing and I'll add it to the steps above.

Acknowledgements

Contributing

I won't be updating this code much, since it has been serving me well. Nevertheless, feel free to fork the repo and modify it for your own purpose. At the same time, check out other similar projects, such as InkyCal. It's much more polished and also actively developed.

What's Next

Honestly, the cost of this project is way too high for a single purpose device. Personally, I've been looking at E-Ink tablets that emulate the experience of writing on paper, and allow the users to take notes on the go. Those familiar with this range of products would be aware of the reMarkable tablet, Ratta Supernote, Kobo Elipsa and many others. My next project is likely to enhance one of these devices such that the calendar will be displayed when it's not in use. While this is usually possible by manually setting the sleep screen image / screensaver, I'm looking to have the screensaver updated automatically on a daily basis, like how it was done in this project.

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
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code

Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code

STARS Laboratory 8 Sep 14, 2022
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth [Paper]

Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth [Paper] Downloads [Downloads] Trained ckpt files for NYU Depth V2 and

98 Jan 01, 2023
Towards End-to-end Video-based Eye Tracking

Towards End-to-end Video-based Eye Tracking The code accompanying our ECCV 2020 publication and dataset, EVE. Authors: Seonwook Park, Emre Aksan, Xuco

Seonwook Park 76 Dec 12, 2022
the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"

EOW-Softmax This code is for the paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration". Accepted by ICCV21. Usage Commnd exa

Yezhen Wang 36 Dec 02, 2022
Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision

MLP-Mixer: An all-MLP Architecture for Vision This repo contains PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision. Usage : impo

Rishikesh (ऋषिकेश) 175 Dec 23, 2022
Code for "AutoMTL: A Programming Framework for Automated Multi-Task Learning"

AutoMTL: A Programming Framework for Automated Multi-Task Learning This is the website for our paper "AutoMTL: A Programming Framework for Automated M

Ivy Zhang 40 Dec 04, 2022
implementation of the paper "MarginGAN: Adversarial Training in Semi-Supervised Learning"

MarginGAN This repository is the implementation of the paper "MarginGAN: Adversarial Training in Semi-Supervised Learning". 1."preliminary" is the imp

Van 7 Dec 23, 2022
Implementation detail for paper "Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet"

Multi-level-colonoscopy-malignant-tissue-detection-with-adversarial-CAC-UNet Implementation detail for our paper "Multi-level colonoscopy malignant ti

CVSM Group - email: <a href=[email protected]"> 84 Nov 22, 2022
Demonstrational Session git repo for H SAF User Workshop (28/1)

5th H SAF User Workshop The 5th H SAF User Workshop supported by EUMeTrain will be held in online in January 24-28 2022. This repository contains inst

H SAF 4 Aug 04, 2022
[ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks By Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao. This is the pytorc

Yikai Wang 26 Nov 20, 2022
PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment

logit-adj-pytorch PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment This code implements the paper: Long-tail Learning via

Chamuditha Jayanga 53 Dec 23, 2022
PyTorch implementation of MuseMorphose, a Transformer-based model for music style transfer.

MuseMorphose This repository contains the official implementation of the following paper: Shih-Lun Wu, Yi-Hsuan Yang MuseMorphose: Full-Song and Fine-

Yating Music, Taiwan AI Labs 142 Jan 08, 2023
Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"

StyleAttack Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer" Prepare Pois

THUNLP 19 Nov 20, 2022
A generalist algorithm for cell and nucleus segmentation.

Cellpose | A generalist algorithm for cell and nucleus segmentation. Cellpose was written by Carsen Stringer and Marius Pachitariu. To learn about Cel

MouseLand 733 Dec 29, 2022
A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN

A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN Please follow Faster R-CNN and DAF to complete the environment confi

2 Jan 12, 2022
Image inpainting using Gaussian Mixture Models

dmfa_inpainting Source code for: MisConv: Convolutional Neural Networks for Missing Data (to be published at WACV 2022) Estimating conditional density

Marcin Przewięźlikowski 8 Oct 09, 2022
Video Matting Refinement For Python

Video-matting refinement Library (use pip to install) scikit-image numpy av matplotlib Run Static background python path_to_video.mp4 Moving backgroun

3 Jan 11, 2022
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

Chao Ma 3k Jan 03, 2023
Breaching - Breaching privacy in federated learning scenarios for vision and text

Breaching - A Framework for Attacks against Privacy in Federated Learning This P

Jonas Geiping 139 Jan 03, 2023