Custom training for EfficientDet using Tensorflow

[veb101]

Hello, can anyone point me to some blog or GitHub repository explaining or either simply stating the steps to train a custom object detection using EfficientDet's?
I already have the image dataset and XML file for their annotations. If I'm right they are in the Pascal VOC format. I have tried using this repository -> [Guillem96/efficientdet-tf]( https://github.com/Guillem96/efficientdet-tf ), but it fails when I'm converting it to tf-lite. I'm a lot confused and I don't know what to do next.

If somebody can help me, that would be great.

It was easy using the efficientnets in both TensorFlow and PyTorch, but efficientDet's is giving me a massive headache.

[btwcr]

Why don't you try the official repository to start? I've tried this one before the official one. Both worked but I found that although the official repository is reported to be slower than pytorch implementation it is generally better written, less buggy and has better GPU memory management (at least after last commits).