liwuhen / CVDeploy-2DLinks
The repository supports TensorRT, QNN platform inference, 2D obstacle detection yolo series (yolov5, yolov8, yolo11, yolox), semantic segmentation and so on.
☆19Updated 3 months ago
Alternatives and similar repositories for CVDeploy-2D
Users that are interested in CVDeploy-2D are comparing it to the libraries listed below
Sorting:
- 分别使用OpenCV、ONNXRuntime部署CenterNet目标检测，包含C++和Python两个版本的程序☆9Updated 2 years ago
- 对 tensorRT_Pro 开源项目理解☆21Updated 2 years ago
- RT-DETRv2 tensorrt C++ 部署☆21Updated 9 months 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
- 跟着Tensorrt_pro学习各种知识☆39Updated 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 this week
- 基于yolov8_obb的芯片引脚缺陷检测，使用tensorrt进行加速。☆23Updated last year
- 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🚀☆49Updated 2 years ago
- yolov8obb 旋转目标检测部署rknn的C++代码☆18Updated last year
- FastSAM 部署版本，便于移植不同平，部署简单、运行速度快。☆20Updated last year
- YoloV10 NPU for the RK3566/68/88☆17Updated last year
- "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…☆35Updated last year
- ☆78Updated 2 years ago
- yolov7 部署版本，后处理用python语言和C++语言形式进行改写，便于移植 不同平台（caffe、onnx、tensorRT、RKNN、Horzion）。☆32Updated 2 years ago
- YOLOv9 Tensorrt deployment acceleration，provide two implementation methods: C++and Python🔥🔥🔥☆32Updated last year
- a plugin-oriented framework for video structured. 国产程序员请加微信zhzhi78拉群交流。☆20Updated last year
- RKNN模型推理部署模板☆22Updated last year
- A Python and C++ library for model encryption and decryption, built on Crypto++, with support for various deep learning frameworks includ…☆48Updated last year
- 🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yol…☆134Updated last year
- 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）。☆38Updated 2 years ago
- rknn inference☆47Updated 3 years ago
- snpe tutorial☆10Updated last year
- C++ implementations of YOLOv8, RT-DETR-V2(RTDETR), MobileSAM, and NanoSAM on TensorRT, ONNX Runtime, and RKNN.☆31Updated last month
- 基于DeepStream6.0和yolov5-6.0的目标检测☆19Updated 3 years ago
- tensorrt sahi yolo 目标检测☆60Updated 2 months ago
- 使用ONNXRuntime部署面向轻量实时的M-LSD直线检测，包含C++和Python两个版本的程序☆26Updated 2 years ago
- ☆47Updated 2 years ago
- yolov5部署☆18Updated 3 years ago
- yolov8seg 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。☆25Updated last year
- yolov7-tensorrtx☆36Updated 2 years ago