lindsayshuo's repositories
ax-pipeline
The Pipeline example based on AXear-Pi (AX620A) , AXera-Pi Pro (AX650N) and AXera-Pi Zero (AX620Q) shows the software development skills of ISP, Image Processing, NPU, Encoding, and Display modules, which is helpful for users to develop their own multimedia applications.
CSD-RkNN
CSD-RkNN: Conic Section Discriminances for Large Scale Reverse k Nearest Neighbors Queries
infer_pic
infer_pic
fatigue_driving_detection
挑战杯rk板端代码，gstreamer mpp硬解码，以及推理模型的rknn部署
FatigueDetectRKNN
fatigue detect rknn/onnx model deploy in rk3568 npu（ROCK 3A）
ff-rknn
ff-rknn - Real-time Object Detection with NPU (Rockchip)
PaddleOCR2RKNN
Convert the official paddleocr model to a deployable model on RK1126
plr_rknn
Deploy the plr work on rk3588
rknn-cpp-Multithreading
A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。
rknn_face_landmarks_deploy
基于rknn的官方Android项目rknn_yolov5_android_apk_demo进行修改，部署人脸检测模型retinaface和106人脸关键点检测模型，支持实时人脸检测。支持rk356x和rk3588设备npu推理。
rkv2_super
参考董立建代码编写的运行superpoint_rknn的代码
self_models
pt and wts
TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
tensorrt-python
tensorrt for yolov7,yolov6,yolov5,yolox
tensorrtx-yolov7
yolov7-tensorrtx
Tensorrtx_SRCNN
a tensorrtx demo for SRCNN
Ultra-Fast-Lane-Detection_caffe_onnx_horizon_rknn
Ultra-Fast-Lane-Detection 部署版本，后处理用进行改写，便于移植不同平台（caffe、onnx、RKNN、Horzion）。
yolop_onnx_tensorRT_rknn_horizon
yolop 部署版本，后处理用python语言以C++方式形式进行改写，便于移植不同平台（onnx、tensorRT、rknn）。
Yolov5-instance-seg-tensorrt
fish-kong/Yolov5-Instance-Seg-Tensorrt-CPP
yolov8_p6
yolov8_p6