Models and examples built with TensorFlow
This release of the Official Models targets TensorFlow 2.12.0. Note that Research/tutorial/sample models have been removed.
This release fixes various typing annotation issues in official/vision that do not work for Python version <3.9.
This release includes a few updates to RetinaNet model under official/vision:
image_info
in SavedModel is input_type
is tflite
.Fix typing annotation in vision model export that breaks package import.
Match the changes with Pypi package and tensorflow.org documentation.
This release of the Official Models targets TensorFlow 2.11.0. Note that Research/tutorial/sample models have been removed.
New features:
Release branch is: https://github.com/tensorflow/models/tree/r2.11
Fix open cv python 3.10 build issue. A lot of downstream clients need to build with 3.10.
Full Changelog: https://github.com/tensorflow/models/compare/v2.10.0...v2.10.1
This release of the Official Models targets TensorFlow 2.10.0. Note that Research/tutorial/sample models have been removed.
TF versions of requirements have been updated to use the corresponding major version.
Updates:
Pypi package for 2.10 cut is: https://pypi.org/project/tf-models-official/2.10.0/.
Adds a prefetch_buffer_size
option to set the prefetch buffer size for input_reader
instead of autotune. This resolves the issue of increasing buffer size until the CPU memory is exhausted.
Updated pip package: https://pypi.org/project/tf-models-official/2.7.2/
Fix a few import path and init problems.
We have the initial support to import the model garden libraries as: import tensorflow_models as tfm tfm.nlp.XXX
Pypi package for 2.9.2 cut is: https://pypi.org/project/tf-models-official/2.9.2/
Note: how the symbols are exported is defined by: https://github.com/tensorflow/models/tree/master/tensorflow_models/ folder