Qengineering / YoloV10-NPULinks
YoloV10 NPU for the RK3566/68/88
☆18Updated last year
Alternatives and similar repositories for YoloV10-NPU
Users that are interested in YoloV10-NPU are comparing it to the libraries listed below
Sorting:
- The repository supports TensorRT, QNN platform inference, 2D obstacle detection yolo series (yolov5, yolov8, yolo11, yolox), semantic seg…☆20Updated 7 months ago
- yolov8obb 旋转目标检测部署rknn的C++代码☆19Updated last year
- FastSAM 部署版本,便于移植不同平,部署简单、运行速度快。☆24Updated last year
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆22Updated 2 years ago
- A unified and extensible pipeline for deep learning model inference with C++. Now support yolov8, yolov9, clip, and nanosam. More models …☆12Updated 4 months ago
- ☆29Updated 3 years ago
- yolov8n 部署版,基于官方的导出onnx脚本导出onnx模型,在不同平台上进行部署测试,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆39Updated 2 years ago
- DETR tensor去除推理过程无用辅助头+fp16部署再次加速+解决转tensorrt 输出全为0问题的新方法。☆12Updated last year
- RT-DETRv2 tensorrt C++ 部署☆22Updated last year
- C++版本的sort算法,可无缝添加在检测器后进行实时多目标跟踪☆12Updated 3 years ago
- Examples of AI model running on the board, such as horizon/rockchip and so on.☆21Updated 2 years ago
- "FastSAM_Awsome_Openvino" 项目展示了如何通过 OpenVINO 框架高效部署 FastSAM 模型,实现了令人瞩目的实例分割功能。该项目提供了 C++ 版本和 Python 版本两种实现,为开发者提供了在不同语言环境下使用 FastSAM 模型的选…☆36Updated 2 years ago
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆28Updated 2 years ago
- 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☆28Updated last year
- rknn-3588部署yolov5,利用线程池实现npu推理加速;Deploying YOLOv5 on RKNN-3588, utilizing a thread pool to achieve NPU inference acceleration.☆82Updated 7 months ago
- yolov8seg 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆29Updated last year
- Quantize yolov5 using pytorch_quantization.🚀🚀🚀☆14Updated 2 years ago
- 在RK3588上使用rknn runtime 推理,使用官方修改过的yolov5模型,mpp解码,rga处理图像,qt5界面显示☆26Updated 5 months ago
- Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX. And Export the ONNX model for AXera's NPU☆12Updated 4 months ago
- ☆15Updated last year
- YOLOv9 Tensorrt deployment acceleration,provide two implementation methods: C++and Python🔥🔥🔥☆32Updated last year
- A rknn cpp/c++ inference codebase for yolov5.☆31Updated 4 years ago
- 用OpenVINO对yolov8导出的onnx模型进行C++的推理, 任务包括图像分类, 目标识别和语义分割, 步骤包括图片前处理, 推理, NMS等☆75Updated last year
- yolov8seg 部署版本,便于移植不同平台(onnx、tensorRT、rknn、Horizon)。☆32Updated 2 years ago
- 基于yolov8_obb的芯片引脚缺陷检测,使用tensorrt进行加速。☆24Updated last year
- 基于DeepStream6.0和yolov5-6.0的目标检测☆19Updated 4 years ago
- 基于 TensorRT 的 C++ 高性能单目标跟踪推理,支持算法OSTrack、LightTrack。☆56Updated 2 years ago
- This is the code to implement Segment Anything (SAM) using TensorRT(C++).☆43Updated last year
- YOLOv8 C++ DET、SEG、POSE TENSORRT 推理库,便于学习开发拓展与工作中实际部署☆18Updated 2 years ago
- 高效部署:YOLO X, V3, V4, V5, V6, V7, V8, EdgeYOLO TRT推理 ™️ ,前后处理均由CUDA核函数实现 CPP/CUDA🚀☆53Updated 2 years ago