AXERA-TECH / ax-models
A collection of pre-compiled, state-of-the-art models in the AXera‘s format
☆21Updated last year
Related projects ⓘ
Alternatives and complementary repositories for ax-models
- ☆18Updated 10 months ago
- linux bsp app & sample for axpi (ax620a)☆34Updated last year
- ☆21Updated 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☆43Updated 2 years ago
- rknn inference☆42Updated 2 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☆31Updated last year
- 基于hisi3559a的yolov5☆34Updated 2 years ago
- Explore LLM model deployment based on AXera's AI chips☆54Updated this week
- NanoTrack(@HonglinChu), C++ TensorRT deployment. MAX 250 FPS!☆22Updated last year
- 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。☆33Updated 3 years ago
- c++ version of yolov7-mask with ncnn☆56Updated 2 years ago
- ☆26Updated 3 years ago
- 用opencv部署nanodet目标检测,包含C++和Python两种版本程序的实现☆102Updated 3 years ago
- 启动多线程, relu激活, 3588的yolo部署, 帧率150以上.☆17Updated last year
- 基于海思3519的YOLOv3例程☆21Updated 3 years ago
- yolov5s nnie☆45Updated 3 years ago
- Samples code for world class Artificial Intelligence SoCs for computer vision applications.☆214Updated this week
- 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☆18Updated 2 years ago
- tensorrt yolov7 without onnxparser☆24Updated last year
- ☆22Updated 2 years ago
- YOLOv5 Quantization Aware Training with TensorRT☆14Updated 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☆11Updated last year
- 使用OpenCV部署FastestDet,包含C++和Python两种版本的程序。模型文件不超过1M☆39Updated 2 years ago
- ncnn of yolov5 v5.0 branch☆86Updated 3 years ago
- ☆45Updated 3 years ago
- 对 tensorRT_Pro 开源项目理解☆18Updated last year
- 🍅🍅NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++. (https://github.com/DefTruth/lite.ai.toolkit)☆21Updated 2 years ago
- 海思nnie跑yolov5☆26Updated 2 years ago
- ☆62Updated 2 years ago