| # 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. |
| |
