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https://github.com/kautenja/keras-pyramid-pooling-module
An implementation of the Pyramid Pooling Module as a Keras layer.
https://github.com/kautenja/keras-pyramid-pooling-module
keras pyramid-pooling-module
Last synced: 25 days ago
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An implementation of the Pyramid Pooling Module as a Keras layer.
- Host: GitHub
- URL: https://github.com/kautenja/keras-pyramid-pooling-module
- Owner: Kautenja
- License: mit
- Created: 2018-12-23T02:37:46.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-03-25T01:04:37.000Z (over 1 year ago)
- Last Synced: 2024-10-13T00:41:55.994Z (25 days ago)
- Topics: keras, pyramid-pooling-module
- Language: Jupyter Notebook
- Homepage:
- Size: 567 MB
- Stars: 4
- Watchers: 2
- Forks: 2
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Keras Pyramid Pooling Module
[![PackageVersion][pypi-version]][pypi-home]
[![PythonVersion][python-version]][python-home]
[![Stable][pypi-status]][pypi-home]
[![Format][pypi-format]][pypi-home]
[![License][pypi-license]](LICENSE)
[pypi-version]: https://badge.fury.io/py/keras-pyramid-pooling-module.svg
[pypi-license]: https://img.shields.io/pypi/l/keras-pyramid-pooling-module.svg
[pypi-status]: https://img.shields.io/pypi/status/keras-pyramid-pooling-module.svg
[pypi-format]: https://img.shields.io/pypi/format/keras-pyramid-pooling-module.svg
[pypi-home]: https://badge.fury.io/py/keras-pyramid-pooling-module
[python-version]: https://img.shields.io/pypi/pyversions/keras-pyramid-pooling-module.svg
[python-home]: https://python.org
**Deprecated:** Please use [tfa.layers.SpatialPyramidPooling2D](https://www.tensorflow.org/addons/api_docs/python/tfa/layers/SpatialPyramidPooling2D) instead.
A [Keras](https://keras.io) implementation of the Pyramid Pooling Module
discussed in [_Pyramid scene parsing network [1]_](#references).
## Installation
The preferred installation of `keras-pyramid-pooling-module` is from `pip`:
```shell
pip install keras-pyramid-pooling-module
```
## Usage
The module functions as any other convolutional / pooling layer applied to a
rank 4 tensor (batch, height, width, channels):
```python
from keras.layers import Input
from keras.models import Model
from keras_pyramid_pooling_module import PyramidPoolingModule
input_ = Input((224, 224, 3))
x = PyramidPoolingModule()(input_)
model = Model(inputs=input_, outputs=x)
```
See [PyramidPoolingModule.ipynb](PyramidPoolingModule.ipynb) for a rough example
of the layer outputs for a simple RGB image.
See [CIFAR10Classifier.ipynb](CIFAR10Classifier.ipynb) for an example of using
the layer in a model to classify images.
## References
[_[1] H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia. Pyramid scene parsing network. CVPR, 2017._](https://hszhao.github.io/projects/pspnet/)