hmzjwhmzjw / pytorch_onnx_ncnn_android_example
☆27Updated 5 years ago
Alternatives and similar repositories for pytorch_onnx_ncnn_android_example:
Users that are interested in pytorch_onnx_ncnn_android_example are comparing it to the libraries listed below
- centernet_mobilenetv2 inference by ncnn☆64Updated 5 years ago
- A re-implementation of PFLD, https://arxiv.org/abs/1902.10859☆45Updated 5 years ago
- tensorRT retinaface mobilenet☆42Updated 5 years ago
- 1000点的人脸关键点检测☆8Updated 4 years ago
- LFFD and SSD based Method implemented by Pytorch for Basketball Recognition Competition.☆34Updated 4 years ago
- Support most of operator which convert mxnet to caffe.☆60Updated 5 years ago
- MTCNN light + SORT tracking☆43Updated 5 years ago
- ☆34Updated 5 years ago
- mnn based mtcnn c++ realize.☆30Updated 5 years ago
- Base on retinaface and centerface modefied. frame work depend on pytorch.☆32Updated 4 years ago
- ☆25Updated 5 years ago
- faceboxes@ncnn☆41Updated 5 years ago
- hi3516cv500/hi3516dv300/hi3519av100☆17Updated 4 years ago
- Intel OpenVINO Implementation of the paper of LFFD: A Light and Fast Face Detector for Edge Devices☆45Updated 5 years ago
- centerNet Caffe inference CPP☆69Updated 5 years ago
- Examples and tools for deep learning deployment☆56Updated 4 years ago
- [Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild☆26Updated 5 years ago
- 使用pytorch实现mtcnn的训练及预测，并用pytorch的c++ api实现了前向预测的功能化☆39Updated 4 years ago
- From pytorch-mobilenetv3 to caffe☆15Updated 5 years ago
- Use Cafffe to do Face Attributes MultiTask Classification based on CelebA data sets☆34Updated 2 years ago
- Yolo(including yolov1 yolov2 yolov3)running on caffe windows. Anyone that is not familiar with linux can use this project to learn caffe …☆17Updated 6 years ago
- add tensorflow ops to ncnn☆30Updated 6 years ago
- Word recognition using ncnn☆29Updated 5 years ago
- A simple demo to use TensorRT with pytorch☆28Updated 5 years ago
- python wrapper of ncnn with pybind11☆72Updated 4 years ago
- ☆10Updated 5 years ago
- 通过pytorch搭建卷积神经网络完成手写识别任务，并将训练好的模型以多种方式部署到TensorRT中加速。（1）通过加载权重。（2）通过加载onnx。（3）通过加载engine。☆45Updated 5 years ago
- A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆52Updated 6 years ago
- 重新设计的RFBNet300,模型参数量只有0.99MB，AP达到0.78，200FPS☆100Updated 5 years ago
- implementation of some layers in caffe☆30Updated 6 years ago