I’m training ssd mobilenet v2 on custom data
As per this blog post
I want to use a lower depth multiplier to decrease the model size
When I change the depth multiplier in the pipeline config, the pretrained weigths are not compatible.
Are there any pretrained weigths available for tf2 with different depth and input size
Or is it possible to load the checkpoints provided here
and export them in a format which can be used to train with model_main_tf2.py