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BadgeImageGen

Unconditional Image Generation
esp32-c3
e-paper
gan
flowers
int8
embedded
Model card Files
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BadgeImageGen / NOTICE.md
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Source and upstream notices

The project owner's original code and trained weights are released under the root MIT LICENSE. This does not relicense the separately attributed third-party panel driver, ESP-IDF components, or training images.

The trained INT8 flower model was supplied by the project owner from their existing ESP32-S3 flower-GAN project. Its architecture and precision are preserved. That project's handoff identifies Oxford Flowers102 (8,189 images, 102 classes) as its training data: https://www.robots.ox.ac.uk/~vgg/data/flowers/102/ . No training images or original badge data are included here. This notice does not replace upstream model/dataset terms.

The modified panel driver in source/firmware/main/epaper.c adapts Gordon Williams / Pur3 Ltd's Espruino ePaper Badge driver, under Mozilla Public License 2.0. Its source is included in this release and the license is at source/licenses/MPL-2.0.txt. Original: https://github.com/espruino/Espruino/blob/master/libs/js/misc/epaper_badge.js

The native application and bootloader use Espressif ESP-IDF v5.5.1. IDF and its bundled component notices are retained in source/licenses/esp-idf/. https://github.com/espressif/esp-idf/tree/v5.5.1

Flashing instructions use Espressif's official browser utility (not bundled): https://github.com/espressif/esptool-js . Optional terminal instructions use esptool 5.6.0, installed separately from PyPI under its upstream terms: https://github.com/espressif/esptool . No custom installer is included.