从 CPU 到 GPU,她的光辉适应了不同的舞台;从小规模到大规模,她的力量在 ONNX、TensorRT、OpenVINO 的舞台上得以展现。 这是一支颠覆传统的队伍,她以浪漫而独特的姿态,书写着技术的诗篇。YOLO,她的历史如同一首华美的诗歌,充满了激情与革新,犹如一幅浪漫的画卷,描绘着计算机视觉的辉煌瞬间。 在这篇文章中,我们...
C++ implementation of YOLO-NAS utilizing OpenVINO backend - History for include/yolo-nas.hpp - Y-T-G/YOLO-NAS-OpenVino-cpp
All SuperGradients models’ are production ready in the sense that they are compatible with deployment tools such as TensorRT (Nvidia) and OpenVINO (Intel) and can be easily taken into production. With a few lines of code you can easily integrate the models into your codebase. ...
The latency is evaluated based on OpenVINO-2022.3.0, using commands below: # onnx export, enable --benchmark to ignore postprocess python tools/converter.py -f configs/damoyolo_tinynasL18_Ns.py -c ../damoyolo_tinynasL18_Ns.pth --batch_size 1 --img_size 416 --benchmark # model tr...
OpenVINO-2022.3.0 #onnx export, enable --benchmark to ignore postprocesspython tools/converter.py -f configs/damoyolo_tinynasL18_Ns.py -c ../damoyolo_tinynasL18_Ns.pth --batch_size 1 --img_size 416 --benchmark#model transformmo --input_model damoyolo_tinynasL18_Ns.onnx --data_typ...