JiweiMaster / PP-PicoDet-Android-Demo
PP-PicoDet-Android-Demo
☆30Updated 3 years ago
Alternatives and similar repositories for PP-PicoDet-Android-Demo:
Users that are interested in PP-PicoDet-Android-Demo are comparing it to the libraries listed below
- Mobile Detection Benchmark☆43Updated 3 years ago
- ☆50Updated 3 years ago
- yolox人脸检测,含关键点☆28Updated 3 years ago
- yolov5s_ncnn_inference pipeline☆21Updated 4 years ago
- YoloV5sl_V4模型pruning☆13Updated 3 years ago
- 使用ONNXRuntime部署anchor-free系列的YOLOR,包含C++和Python两种版本的程序☆41Updated 3 years ago
- ☆22Updated 4 years ago
- yolov5.yaml转换成yolov5.py☆17Updated 4 years ago
- Ultra Light Weight Face Detection with Landmark☆37Updated 3 years ago
- yolov5第四版☆15Updated 3 years ago
- 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
- 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 2 years ago
- Light-weight face detection on Android with pytorch model☆20Updated 4 years ago
- ☆27Updated 3 years ago
- 全网首发,mmdetection Co-DETR TensorRT端到端推理加速☆27Updated 3 months ago
- ☆23Updated 2 years ago
- PyTorch implementation of MobileFaceNets☆19Updated 5 years ago
- ☆17Updated 3 years ago
- Towards Real-Time Multi-Object Tracking☆29Updated 3 years ago
- 🔥CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent pe…☆27Updated 4 years ago
- ☆63Updated 2 years ago
- c++ version of yolov7-mask with ncnn☆58Updated 2 years ago
- ☆23Updated 2 years ago
- 分别使用OpenCV,ONNXRuntime部署yolov5不规则四边形目标检测,包含C++和Python两个版本的程序☆27Updated 2 years ago
- ☆24Updated 4 years ago
- Tutorial includes rknn-envirment building, updating, model transfer, end-to-end YOLO3/self define model training &use, etc.☆36Updated 4 years ago
- 学习yolo算法和rknn框架☆34Updated 3 years ago
- yolov5 onnx caffe☆85Updated 3 years ago
- Android hand detect and pose estimation by ncnn☆95Updated 3 years ago
- Examples and tools for deep learning deployment☆56Updated 4 years ago