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.

Space Invaders For Python

Space-Invaders Just download or clone the git repository. To run the Space Invader game you need to have pyhton installed in you system. If you dont h

Fei 5 Jul 27, 2022
A torch implementation of "Pixel-Level Domain Transfer"

Pixel Level Domain Transfer A torch implementation of "Pixel-Level Domain Transfer". based on dcgan.torch. Dataset The dataset used is "LookBook", fro

Fei Xia 260 Sep 02, 2022
(IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation

RDPNet IEEE TIP 2021: Regularized Densely-connected Pyramid Network for Salient Instance Segmentation PyTorch training and testing code are available.

Yu-Huan Wu 41 Oct 21, 2022
Deep Learning GPU Training System

DIGITS DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, To

NVIDIA Corporation 4.1k Jan 03, 2023
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation

Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Introduction This is a PyTorch

XMed-Lab 30 Sep 23, 2022
Official PyTorch Implementation of Mask-aware IoU and maYOLACT Detector [BMVC2021]

The official implementation of Mask-aware IoU and maYOLACT detector. Our implementation is based on mmdetection. Mask-aware IoU for Anchor Assignment

Kemal Oksuz 46 Sep 29, 2022
Source code for CAST - Crisis Domain Adaptation Using Sequence-to-sequence Transformers (Accepted to ISCRAM 2021, CorePaper).

Source code for CAST: Crisis Domain Adaptation UsingSequence-to-sequenceTransformers (Paper, BibTeX, Accepted to ISCRAM 2021, CorePaper) Quick start D

Congcong Wang 0 Jul 14, 2021
This program writes christmas wish programmatically. It is using turtle as a pen pointer draw christmas trees and stars.

Introduction This is a simple program is written in python and turtle library. The objective of this program is to wish merry Christmas programmatical

Gunarakulan Gunaretnam 1 Dec 25, 2021
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Yolo v4, v3 and v2 for Windows and Linux (neural networks for object detection) Paper YOLO v4: https://arxiv.org/abs/2004.10934 Paper Scaled YOLO v4:

Alexey 20.2k Jan 09, 2023
[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Delving into Deep Imbalanced Regression This repository contains the implementation code for paper: Delving into Deep Imbalanced Regression Yuzhe Yang

Yuzhe Yang 568 Dec 30, 2022
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible

Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible, to be the most reliable with the least com

Nikolas B Virionis 2 Aug 01, 2022
App customer segmentation cohort rfm clustering

CUSTOMER SEGMENTATION COHORT RFM CLUSTERING TỔNG QUAN VỀ HỆ THỐNG DỮ LIỆU Nên chuyển qua theme màu dark thì sẽ nhìn đẹp hơn https://customer-segmentat

hieulmsc 3 Dec 18, 2021
Code for the paper "Reinforced Active Learning for Image Segmentation"

Reinforced Active Learning for Image Segmentation (RALIS) Code for the paper Reinforced Active Learning for Image Segmentation Dependencies python 3.6

Arantxa Casanova 79 Dec 19, 2022
UI2I via StyleGAN2 - Unsupervised image-to-image translation method via pre-trained StyleGAN2 network

We proposed an unsupervised image-to-image translation method via pre-trained StyleGAN2 network. paper: Unsupervised Image-to-Image Translation via Pr

208 Dec 30, 2022
[NeurIPS 2021] Low-Rank Subspaces in GANs

Low-Rank Subspaces in GANs Figure: Image editing results using LowRankGAN on StyleGAN2 (first three columns) and BigGAN (last column). Low-Rank Subspa

112 Dec 28, 2022
Garbage Detection system which will detect objects based on whether it is plastic waste or plastics or just garbage.

Garbage Detection using Yolov5 on Jetson Nano 2gb Developer Kit. Garbage detection system which will detect objects based on whether it is plastic was

Rishikesh A. Bondade 2 May 13, 2022
Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm

Multi-band Spectro Radiomertric Image Analysis with K-means Cluster Algorithm Overview Multi-band Spectro Radiomertric images are images comprising of

Chibueze Henry 6 Mar 16, 2022
NaturalProofs: Mathematical Theorem Proving in Natural Language

NaturalProofs: Mathematical Theorem Proving in Natural Language NaturalProofs: Mathematical Theorem Proving in Natural Language Sean Welleck, Jiacheng

Sean Welleck 83 Jan 05, 2023
Probabilistic Cross-Modal Embedding (PCME) CVPR 2021

Probabilistic Cross-Modal Embedding (PCME) CVPR 2021 Official Pytorch implementation of PCME | Paper Sanghyuk Chun1 Seong Joon Oh1 Rafael Sampaio de R

NAVER AI 87 Dec 21, 2022
✔️ Visual, reactive testing library for Julia. Time machine included.

PlutoTest.jl (alpha release) Visual, reactive testing library for Julia A macro @test that you can use to verify your code's correctness. But instead

Pluto 68 Dec 20, 2022