Streaming TTS based on Piper with optional RK3588 NPU support
-
Updated
Oct 5, 2024 - C++
Streaming TTS based on Piper with optional RK3588 NPU support
YoloV8 NPU for the RK3566/68/88
Radxa Zero 3W/E image with Ubuntu 22, OpenCV, deep learning frameworks and NPU drivers
基于u2net网络进行简单修改使其部署到rk3588板子上
YoloV8 segmentation NPU for the RK 3566/68/88
YoloV10 NPU for the RK3566/68/88
Convert and run scikit-learn MLPs on Rockchip NPU.
适用于RKNN2的Segment Anything模型 Segment Anything Model for RKNN2
PP YoloE NPU for the RK3566/68/88
YoloV5 segmentation NPU for the RK 3566/68/88
Docker images for working with and run rknn models.
YoloX NPU for the RK3566/68/88
YoloV7 NPU for the RK3566/68/88
YoloV6 NPU for the RK3566/68/88
Add a description, image, and links to the rknpu2 topic page so that developers can more easily learn about it.
To associate your repository with the rknpu2 topic, visit your repo's landing page and select "manage topics."