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
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