This repository include codes for some onnxruntime projects,such as classification,segmentation,detection,style transfer and super resolution.
ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. In my repository,onnxruntime.dll have been compiled.You can download it and see specific information about onnxruntime in https://github.com/microsoft/onnxruntime.
The programming language is C++ and The platform is Visual Stdio.I have finished some projects based on onnxruntime official samples.The link have been mentioned afore.Also,you can download some onnx models in https://github.com/onnx/models.If necessary,you can see the structure onnx models in https://lutzroeder.github.io/netron/.
The onnx model is moblienet.You can download it in the link mentioned afore.
The onnx model is our trained erfnet.We use specific datasets to train erfnet.
The onnx model is Tiny YOLOv2.You can download it in the link mentioned afore.
The onnx model is Fast Neural Style Transfer.You can download it in the link mentioned afore.
The onnx model is Super Resolution with sub-pixel CNN.You can download it in the link mentioned afore.