delta1037 / FatigueDetectRKNNLinks
fatigue detect rknn/onnx model deploy in rk3568 npu（ROCK 3A）
☆17Updated 2 years ago
Alternatives and similar repositories for FatigueDetectRKNN
Users that are interested in FatigueDetectRKNN are comparing it to the libraries listed below
Sorting:
- ☆29Updated 3 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
- yolov5: pytorch->onnx->caffe->hisi3559☆22Updated last year
- yolov8seg 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。☆29Updated last year
- 基于hisi3559a的yolov5☆37Updated 4 years ago
- 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）。☆52Updated last year
- 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。☆28Updated last year
- Flying bird object detection in surveillance video☆17Updated 8 months ago
- Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT☆35Updated 2 years ago
- 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
- 基于u2net网络进行简单修改使其部署到rk3588板子上☆23Updated 2 years ago
- Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT …☆80Updated 6 months ago
- yolov10 瑞芯微 rknn 板端 C++部署，使用平台 rk3588。☆74Updated last year
- 学习yolo算法和rknn框架☆36Updated 4 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
- yolov8n 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（onnx、tensorRT、RKNN、Horzion）☆157Updated last year
- 使用OpenCV部署低光照图像增强，包含C++和Python两个版本的程序☆25Updated last year
- yolov11（yolov8）尝试了7种不同的部署方法，并对每种方法的优势进行了简单总结。不同的平台、不同的时耗或CPU占用需求，总有一种方法是适用的。针对想入门部署的也是一个很好的参考学习资料。☆45Updated 11 months ago
- yolov5 deploy 3559☆32Updated 4 years ago
- PyTorch-->ONNX-->RKNN☆127Updated 3 years ago
- The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588☆47Updated 3 years ago
- 使用opencv部署深度学习车牌检测与识别，包含Python和C++两种版本的实现☆51Updated 4 years ago
- Ncnn version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆94Updated 5 months ago
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆28Updated 2 years ago
- 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
- 使用ONNXRuntime部署阿里达摩院开源DAMO-YOLO目标检测，一共包含27个onnx模型，依然是包含了C++和Python两个版本的程序☆35Updated 3 years ago
- Easy Training Official YOLOv11、YOLOv10、YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!☆135Updated 4 months ago
- RKNN version demo of [CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search☆24Updated 4 years ago
- yolov5训练转onnx转caffe工程 直接可用☆23Updated 4 years ago
- 分别使用OpenCV、ONNXRuntime部署FreeYOLO目标检测，总共包含143个onnx模型，有COCO目标检测，人脸检测，密集行人检测的三种检测功能，依然是包含C++和Python两个版本的程序☆32Updated 2 years ago