ESP32-S3 Bench Guide
ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证正在加载完整 README。 以下为已保存的摘录。
HSK 4 vocabulary flashcards, built up week by week from class slides.
Open the flashcards →
Open the SRS review →
Filter by lesson using the pills at the top. Front of the card is the hanzi; reveal shows pinyin, meaning, and an example sentence taken from the slide the word appeared on. Example pinyin is hidden until you hover or tap it, so you can test yourself on the sentence first.
Keyboard: Space reveal / next · O toggle · ← unreveal, then previous · → next · S shuffle
Class slides are exported as Slides_YYYYMMDD.pdf. Words come from three places on the slides:查看完整 README ↗HSK 4 vocabulary flashcards, built up week by week from class slides.
Open the flashcards → Open the SRS review →
| Path | What it is |
|---|---|
flashcards/index.html | Self-contained flashcard app. Vocab is embedded, so it works offline. |
flashcards/vocabulary.json | Source of truth for all vocabulary. |
srs/index.html | Spaced-repetition review app with Again/Hard/Good/Easy grading. |
PROJECT_INSTRUCTIONS.md | How new lessons get extracted and added. |
Filter by lesson using the pills at the top. Front of the card is the hanzi; reveal shows pinyin, meaning, and an example sentence taken from the slide the word appeared on. Example pinyin is hidden until you hover or tap it, so you can test yourself on the sentence first.
Keyboard: Space reveal / next · O toggle · ← unreveal, then previous · → next · S shuffle
Class slides are exported as Slides_YYYYMMDD.pdf. Words come from three places on the slides:
#0070c0) inline in reading passages and exercisesThe blue annotations matter most — those are the words the teacher marked as new. They can't be read from the PDF's plain text layer, which discards colour; extract_slides.py reads character colours and positions instead and groups them back into words.
Proper nouns, and HSK 1–2 words that appear without annotation, are skipped.