What is TFLite_Detection_PostProcess?

These are the steps needed to set up TensorFlow Lite:

TFLite_Detection_PostProcess is custom op which produces final 4 outputs – (classes, scores, bboxes and num_outputs)

From a high level, in order to train our custom object detection model, we take the following steps in the Colab Notebook to Train TensorFlow Lite Model: Install TensorFlow object detection library and dependencies . Import dataset from Roboflow in TFRecord format . Write custom model configuration .

These are the steps needed to set up TensorFlow Lite:

Detailed Process