This repository contains the code for training YOLOv5, YOLOv7, and YOLOv8 models for object detection using Python 3. Optimization of models with OpenVINO and Apache TVM, and tracking with ByteTrack and yolov8-pose.
Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, PaddlePaddle, etc.
compilation with optimization and code generation that can take neural network inference requests and divide the load between classical hardware and novel photonic hardware.
Optimizing RetinaFace inference using TVM.
Machine Learning Compilers
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