I’d like a tutorial on how to export a bounding box detector network to mxnet, (for bonus points: convert to Tensorflow), and then get it running correctly in python!
Some related questions exist for pythonizing simple recurrent and classification nets, but not for the network backing
ImageCases. Seems there is a lot of MMA glue code to get inference off the ground, which is what makes this a worthy question.
You can access it as follows:
NetModel["Wolfram ImageCases Net V1"]