Hi, guys. I have a database with video frames in robflow. I would like to export this base to transform this base into tflite to run my model on android. Does anyone have a tip? Thanks.
Hi @jonata_paulino ,
- Train the model: Once the dataset is prepared, you can train the model using TensorFlow. This involves defining the model architecture, setting the hyperparameters, and running the training process.
- Convert the model to TFLite format: Once the model is trained, you can convert it to TFLite format using the TensorFlow Lite converter. This process involves specifying the input and output nodes of the model and any optimizations that you want to apply.
Here is a sample code to convert a model to TFLite using the TensorFlow Lite converter:
import tensorflow as tf # Load the model from the database model = tf.keras.models.load_model('path/to/model') # Convert the model to TFLite format converter = tf.lite TFLiteConverter.from_keras_model(model) tflite_model = converter.convert() # Save the TFLite model to a file with open('model.tflite', 'wb') as f: f.write(tflite_model)
And you can go through this tutorial for a more detailed explanation; please let me know if it helps you.
Thanks @Laxma_Reddy_Patlolla . I managed to solve it with your tip.