khadas / edge2-npu
☆24Updated last year
Alternatives and similar repositories for edge2-npu:
Users that are interested in edge2-npu are comparing it to the libraries listed below
- ☆23Updated 2 years ago
- Easy Training Official YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!☆59Updated last year
- yolov8 旋转目标检测部署,瑞芯微RKNN芯片部署、地平线Horizon芯片部署、TensorRT部署☆27Updated 10 months ago
- Integration of YOLOv9 with ByteTracker☆83Updated last year
- This repo provides the C++ implementation of YOLO-NAS based on ONNXRuntime for performing object detection in real-time.Support float32/f…☆44Updated last year
- yolov10 目标检测部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon),全网部署最简单、运行速度最快的部署方式(全网首发)。☆49Updated 10 months ago
- [CVPR 2024] OC-SORT implemented in C++ with Eigen Library, Plus a Android Demo Apk☆55Updated 3 months ago
- NVIDIA DeepStream SDK 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 implementation for YOLO-Segmentation models☆58Updated last year
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆18Updated last year
- The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588☆45Updated 2 years ago
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆23Updated last year
- This repository will demostrate how to deploy a offical YOLOv7 pre-trained model with OpenVINO runtime api☆63Updated last year
- Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT☆35Updated last year
- Ncnn version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆83Updated 2 years ago
- ☆13Updated last year
- yolov8seg 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆23Updated 10 months ago
- A C++ implementation for UCMCTrack (SOTA in MOT17)☆16Updated 11 months ago
- yolov8 瑞芯微 rknn 板端 C++部署。☆102Updated last year
- yolov5 detector using rockchip rknn in C++☆38Updated 2 years ago
- RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆21Updated 3 years ago
- Example of using ultralytics YOLOv5 with Openvino in C++ and Python.☆67Updated 2 years ago
- ☆13Updated last year
- Mnn version demo of [ECCV2022] Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework.☆17Updated last year
- YOLOv7 training. Generates a head-only dataset in YOLO format. The labels included in the CrowdHuman dataset are Head and FullBody, but i…☆29Updated 9 months ago
- UNetMultiLane 多车道线和车道线类型识别部署版本,测试不同平台部署(onnx、tensorRT、RKNN、Horzion),可识别所在的车道和车道线的类型。☆24Updated 9 months ago
- ☆23Updated 4 years ago
- C++ application to perform computer vision tasks using Nvidia Triton Server for model inference☆23Updated last month
- This project provides simple code and demonstrates how to use the TensorRT C++ API and ONNX to deploy PaddleOCR text recognition model.☆42Updated 2 years ago
- Implementation of yolo v10 in c++ std 17 over opencv and onnxruntime☆88Updated 6 months ago
- ☆44Updated 3 years ago