Tengine is a lite, high performance, modular inference engine for embedded device
-
Updated
Sep 15, 2024 - C++
Tengine is a lite, high performance, modular inference engine for embedded device
Efficient Inference of Transformer models
YoloV5 NPU for the RK3566/68/88
Simplified AI runtime integration for mobile app development
YoloV8 NPU for the RK3566/68/88
NPUsim: Full-Model, Cycle-Level, and Value-Aware Simulations of NPU Accelerators
Small Heterogeneous & AI Powered Computing SBC Based on V853
ROS 2 Inference sample for using Rockchip NPU.
YoloV10 NPU for the RK3566/68/88
YoloV8 segmentation NPU for the RK 3566/68/88
rtop, a performance monitor for the Rockchips RK3566/68/88
Matrix multiplication on the NPU inside RK3588
YoloV5 segmentation NPU for the RK 3566/68/88
基于RK3588的视频采集和目标检测功能 目标监测功能使用 git@github.com:airockchip/rknn-toolkit2.git ,移植了yolov6的demo实现
rtop, a performance monitor for the Rockchips RK3566/68/88
PP YoloE NPU for the RK3566/68/88
YoloX NPU for the RK3566/68/88
Add a description, image, and links to the npu topic page so that developers can more easily learn about it.
To associate your repository with the npu topic, visit your repo's landing page and select "manage topics."