Day #307 - Porting Keras to Tensorflow Lite Version

Next Task is to run all the developed models in Pi using Tensorflow Lite. I am using google colab to convert the models into lite version.

	#Step 1
	from google.colab import drive
	drive.mount('/content/drive')
	#Upload data to drive in directory ColabData
	#Step 2
	import tensorflow as tf
	print(tf.__version__)
	#tensorflow.contrib is not there in 2.0
	#!pip install tensorflow==2.0.0
	#Downgrade tensorflow to 1.13.2
	#!pip install tensorflow==1.13.2
	#Step 3
	from tensorflow.contrib import lite
	converter = tf.lite.TFLiteConverter.from_keras_model_file(r'/content/drive/My Drive/ColabData/model_landmark_vgg16.h5')
	tflite_model = converter.convert()
	open(r'/content/drive/My Drive/ColabData/model.tflite','wb').write(tflite_model)

view raw TFLiteConversion.py hosted with ❤ by GitHub

The ported models we will attempt to run in Rasberry PI as next steps

Happy Learning!!!