In version 0.5.x we have full support for YOLOv5, at the cost of introducing more dependencies. If someone just wants to use the models for inference, he/she doesn't need all additional features like:
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
This project contains a code generator that produces static C NN inference deployment code targeting tiny micro-controllers (TinyML) as replacement for other µTVM runtimes. This tools generates a runtime, which statically executes the compiled model. This reduces the overhead in terms of code size and execution time compared to having a dynamic on-device runtime.
Canopy is a machine learning learning compiler stack with the capability of adopting high-end FPGAs. As a part of OpenAIOS project, Canopy is an evolved version of Apache TVM. Canopy is able to support a variety of hardware backends such as PCIE-based cloud FPGAs, CPUs and GPUs.
Auto-Installer is currently not supported on Windows platforms. TVM and TensorRT in particular would need special care.