Streaming TTS based on Piper with optional RK3588 NPU support
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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
YoloV5 segmentation NPU for the RK 3566/68/88
PP YoloE NPU for the RK3566/68/88
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
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