GIBEREZ / Qt-NCNN-ByteTrackLinks
使用NCNN推理框架和ByteTrack目标跟踪框架,对网络、文件流URL进行实时性视频推理,而UI界面则由Qt框架实现
☆21Updated 9 months ago
Alternatives and similar repositories for Qt-NCNN-ByteTrack
Users that are interested in Qt-NCNN-ByteTrack are comparing it to the libraries listed below
Sorting:
- The rknn2 API uses the secondary encapsulation of the process, which is easy for everyone to call. It is applicable to rk356x rk3588☆45Updated 3 years ago
- 使用ONNXRuntime部署Detic检测2万1千种类别的物体,包含C++和Python两个版本的程序☆17Updated last year
- 基于NCNN框架实现车道线检测(C/C++)☆23Updated 3 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☆13Updated 3 weeks ago
- 使用ONNXRuntime部署PicoDet目标检测,包含C++和Python两个版本的程序☆30Updated 3 years ago
- c++实现的clip推 理,模型有一点点改动,但是不大,改动和导出模型的代码可以在readme里找到,模型文件都在Releases里,包括AX650的模型。新增支持ChineseCLIP☆30Updated last month
- 在瑞芯微rockchip的AI芯片rv1109上,利用rknn和opencv库,修改了官方yolov3后处理部分代码Bug,交叉编译yolov3-demo示例后可成功上板部署运行。☆34Updated 3 years ago
- c++ version of yolov5 segmentation with ncnn☆81Updated 2 years ago
- DDK for Rockchip NPU☆65Updated 4 years ago
- ☆23Updated 2 years ago
- ppstructure deploy by ncnn☆33Updated last year
- 使用ONNXRuntime部署PP-YOLOE目标检测,支持PP-YOLOE-s、PP-YOLOE-m、PP-YOLOE-l、PP-YOLOE-x四种结构,包含C++和Python两个版本的程序☆20Updated 3 years ago
- ☆16Updated 5 years ago
- ☆16Updated 4 years ago
- SAM and lama inpaint,包含QT的GUI交互界面,实现了交互式可实时显示结果的画点、画框进行SAM,然后通过进行Inpaint,具体操作看readme里的视频。☆48Updated last year
- 学习yolo算法和rknn框架☆36Updated 3 years ago
- Android Demon of mobilev2-yolo5s and retinaface☆17Updated 4 years ago
- Intelligent monitoring of escalator.Function including traffic statistics,passenger retention detection and large object retention detect…☆26Updated last year
- ☆16Updated 4 months ago
- yolov10 瑞芯微 rknn 板端 C++部署,使用平台 rk3588。☆72Updated last year
- ☆22Updated last year
- linux bsp app & sample for axpi (ax620a)☆35Updated 2 years ago
- RKNN模型推理部署模板☆22Updated last year
- ☆24Updated 3 years ago
- 使用OpenCV部署L2CS-Net人脸朝向估计,包含C++和Python两个版本的程序,只依赖opencv库就可以运行☆19Updated last year
- ☆65Updated 3 years ago
- ☆14Updated 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
- YOLOX with NCNN/MNN/TNN/ONNXRuntime C++.☆13Updated 3 years ago
- yolov5_obb C++ onnxruntime deployment☆10Updated last year