AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Apache License 2.0
176
stars
28
forks
source link
Encountered an error when attempting to compile Helios with CMake. #46
I created a conda evnrionment with python == 3.9.16; agml = 0.4.7
I am executing the floowing cell in /AgML/examples/AgML-Synthetic.ipynb
And run into this error
This is my Cmake version
I created a conda evnrionment with python == 3.9.16; agml = 0.4.7 I am executing the floowing cell in /AgML/examples/AgML-Synthetic.ipynb And run into this error This is my Cmake version