Skip to content

Commit

Permalink
Update README
Browse files Browse the repository at this point in the history
  • Loading branch information
RaymondWang0 authored Mar 6, 2024
1 parent 0caefd9 commit 2c47b6c
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ TinyEngine is a part of MCUNet, which also consists of TinyNAS. MCUNet is a syst

**The MCUNet and TinyNAS repo is [here](https://github.com/mit-han-lab/mcunet).**

### [MCUNetV1](https://hanlab.mit.edu/projects/mcunet) | [MCUNetV2](https://hanlab.mit.edu/projects/mcunetv2) | [MCUNetV3](https://hanlab.mit.edu/projects/mcunetv3)
### [TinyML Project Website](https://hanlab.mit.edu/projects/tinyml) | [MCUNetV1](https://hanlab.mit.edu/projects/mcunet) | [MCUNetV2](https://hanlab.mit.edu/projects/mcunetv2) | [MCUNetV3](https://hanlab.mit.edu/projects/mcunetv3)

### [Demo (Inference)](https://www.youtube.com/watch?v=F4XKn0iDfxg)

Expand All @@ -19,7 +19,7 @@ TinyEngine is a part of MCUNet, which also consists of TinyNAS. MCUNet is a syst

**If you are interested in getting updates, please sign up [here](https://forms.gle/UW1uUmnfk1k6UJPPA) to get notified!**

- **(2024/03)** We release the [new demo video](https://www.youtube.com/watch?v=0pUFZYdoMY8) of [On-Device Training Under 256KB Memory](https://arxiv.org/abs/2206.15472).
- **(2024/03)** We release a [new demo video](https://www.youtube.com/watch?v=0pUFZYdoMY8) of [On-Device Training Under 256KB Memory](https://arxiv.org/abs/2206.15472).
- **(2023/02)** We now support running [the inference tutorial](tutorial/inference) without an Arducam. Feel free to give it a try!
- **(2023/02)** We release the source code of the [person detection demo](examples/openmv_person_detection), [face mask detection demo](examples/openmv_face_mask_detection), and [on-device training demo](examples/openmv_training_sparse) on OpenMV Cam H7.
- **(2022/12)** We update the [measured results](README.md#measured-results) on STM32H743 with the new versions of the inference libraries.
Expand Down

0 comments on commit 2c47b6c

Please sign in to comment.