pimod

Image reifier

Reconfigures Raspberry Pi images by modifying them in a QEMU chroot environment using a Docker-inspired configuration file.

Reconfigure Raspberry Pi images with an easy, Docker-like configuration file

GitHub

127 stars
9 watching
19 forks
Language: Shell
last commit: 5 months ago
Linked from 1 awesome list

automationdistributionpi-imagepifileraspberry-pi

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
heeplr/rpi-cookstrap Automated tool for creating customized Raspberry Pi OS images by leveraging standard tools and shell scripts 14
cybersecsi/raudi Automates generation and updating of Docker images for tools not provided by developers 546
waveform80/picamera Provides a pure Python interface to access the Raspberry Pi camera module 1,570
aniongithub/pi-bootstrap Automates setup of Raspberry Pi image with connectivity and customizations 38
remixer-dec/mpy-img-decoder Decodes and renders PNG and JPEG images in pure Micropython 33
rprakashg/plantuml-image-converter Converts UML diagrams to PNG images 1
qcod/laravel-imageup A package providing a trait to automatically handle image uploads, resizing, and cropping in Laravel applications. 757
piscsi/piscsi Emulates virtual SCSI devices on a Raspberry Pi for vintage computers and devices. 543
cryptex-github/ril-py A Python binding around an image processing library written in Rust. 29
ibm/max-resnet-50 An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset. 14
reproducible-containers/diffoci A tool that compares Docker and OCI container images to ensure reproducibility 313
atao/raspberrypi-setup A tool for rapidly setting up and configuring various devices with Ansible. 34
pixboost/transformimgs An image transformation API that resizes and optimises images based on user input without requiring additional parameters. 230
nasa-jpl/pmapper A toolkit for high-quality image restoration using Poisson Maximum A-Posteriori and other algorithms 15
ibm/max-inception-resnet-v2 An image classification model using a third-generation deep residual network. 28