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This packages contains frequently used methods or classes in use of Tensorflow 2.x

Project description

tfhelper

Your friendly Tensorflow 2.x neighbor.

Documentation: https://jeikeilim.github.io/tfhelper/

Environments

  • Python 3.7

Getting started

pip install

pip install tfhelper

Structure

tfhelper.dataset

  • HDF5Generator
from tfhelper.dataset import HDF5Generator

train_generator = HDF5Generator("/dataset/path.hdf5", "training_data", "test_data")
train_dataset = train_generator.get_dataset(input_shape=(300, 300), batch_size=16, shuffle=True, n_shuffle=1000)

...
model = Define some model

model.fit(train_dataset)

tfhelper.gpu

  • allow_gpu_memory_growth

tfhelper.tensorboard

  • ConfuseCallback
  • ModelSaverCallback
  • SparsityCallback
  • run_tensorboard
  • wait_ctrl_c
  • get_tf_callbacks

tfhelper.tflite

  • keras_model_to_tflite
  • parse_config
  • predict_tflite_interpreter
  • evaluate_tflite_interpreter
  • load_pruned_model

tfhelper.transfler_learning

  • get_transfer_learning_model

tfhelper.visualization

  • get_cam_image

Project details


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