I'm getting this error when converting a customized yolov5 to yolort:
Traceback (most recent call last):
File "convert_ultralytics_to_yolort.py", line 31, in <module>
num_classes=80)
File "/yolov5/yolort/utils/update_module_state.py", line 74, in update_module_state_from_ultralytics
module_state_updater.updating(model)
File "/yolov5/yolort/utils/update_module_state.py", li
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.
I'm getting this error when converting a customized yolov5 to yolort: