rknn
There are 29 repositories under rknn topic.
nndeploy/nndeploy
nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础，致力为用户提供跨平台、简单易用、高性能的模型部署体验。
LSH9832/edgeyolo
an edge-real-time anchor-free object detector with decent performance
soloist-v/yolov5_for_rknn
YOLOv5 in PyTorch > ONNX > RKNN
thnak/yolov7-rknn
Run your yolov7 object detection with Rockchip NPU platforms (RK3566, RK3568, RK3588, RK3588S, RV1103, RV1106, RK3562).
laitathei/YOLOv8-ONNX-RKNN-HORIZON-TensorRT-Segmentation
Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT
zxcv1884/rv1126_rknn_blazeface
A demo show how to inference blazeface model on Rockchip RV1126.
delta1037/RknnInferTemplate
RKNN模型推理部署模板
icetd/RkYoloRtspServer
simple yolov5 rtspserver for rk3588
2495165664/U2Net-rknn
基于u2net网络进行简单修改使其部署到rk3588板子上
xiaochus/DeepModelDeploy
Deploy deep learning model on difference hardware and framework. (TensorRT/ONNX/MNN/RKNN)
thnak/yolov7-2-tensorflow
export any your YOLOv7 model to TensorFlow, TensorFlowJs, ONNX, OpenVINO, RKNN,...
av1d/NPU-Chat
Web chat front end for rk3588_npu_llm_server / RK3588 LLM chat interface
dreamflyforever/quickrun
瑞芯微芯片的rknn推理框架部署(yolo模型)
laitathei/YOLOv8-ONNX-RKNN-HORIZON-TensorRT-Detection
Inference YOLOv8 detection on ONNX, RKNN, Horizon and TensorRT
marty1885/rknn-superresolution
Superresolution running on Rockchip NPU (RK3588, etc..)
delta1037/FatigueDetectRKNN
fatigue detect rknn/onnx model deploy in rk3568 npu（ROCK 3A）
marty1885/scirknn
Convert and run scikit-learn MLPs on Rockchip NPU.
laitathei/YOLOv7-ONNX-RKNN-HORIZON-TensorRT-Segmentation
Inference YOLOv7 segmentation on ONNX, RKNN, Horizon and TensorRT
HPSCIL/CSD-RkNN
CSD-RkNN: Conic Section Discriminances for Large Scale Reverse k Nearest Neighbors Queries
laitathei/YOLOv7-ONNX-RKNN-HORIZON-TensorRT-Detection
Inference YOLOv7 tiny detection on ONNX, RKNN, Horizon and TensorRT
Qengineering/rknn_model_zoo_Q
rknn model zoo download
ret7020/YoloNPU
Run Yolov8 on Rockchip NPU (from Orange PI 5)
BergLucas/ImageAnalystRKNN
ImageAnalyst RKNN is an extension to the ImageAnalyst library, providing additional models and functions using rknn-lite2.
yuyun2000/rkan
kan的rknn2部署