Create your model
Read moreWhat is a TFLite model?
TensorFlow Lite is Google’s machine learning framework to deploy machine learning models on multiple devices and surfaces such as mobile (iOS and Android), desktops and other edge devices.
Read moreHow do I run a TensorFlow model on Raspberry Pi?
These are the steps needed to set up TensorFlow Lite:
Read moreWhat is TFLite_Detection_PostProcess?
TFLite_Detection_PostProcess is custom op which produces final 4 outputs – (classes, scores, bboxes and num_outputs)
Read moreHow do you train a Tflite model?
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 .
Read moreHow do I run a TensorFlow model on Raspberry Pi?
These are the steps needed to set up TensorFlow Lite:
Read moreHow do you make a Tflite?
Detailed Process
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