TensorFlow-Lite Models
Pre-release
Pre-release
The tflite models used by the plugin.
The models were generated using:
import tensorflow as tf
import os
from crepe.core import build_and_load_model
# Clone and install the crepe repository https://github.com/marl/crepe.git
# Copy this file into the root directory of the crepe repository and run it
model_capacities = ['tiny', 'small', 'medium', 'large', 'full']
for model_capacity in model_capacities:
model = build_and_load_model(model_capacity)
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
script_dir = os.path.dirname(os.path.realpath(__file__))
with open(os.path.join(script_dir, 'crepe-' + model_capacity + '.tflite'), 'wb') as f:
f.write(tflite_model)