Metadata-Version: 2.4
Name: tiff-tf-loader
Version: 0.1.1
Summary: Load TIFF images into TensorFlow datasets using rasterio
Home-page: https://github.com/haribabugitwork/tiff-tf-loader
Author: Hari Babu KVN
Author-email: haribabuatwork@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: tensorflow>=2.8
Requires-Dist: rasterio
Requires-Dist: scikit-learn
Requires-Dist: numpy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
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# tiff-tf-loader

`tiff_image_dataset_from_directory()` is a utility that lets you load `.tif` images into TensorFlow `tf.data.Dataset` pipelines, similar to `image_dataset_from_directory()` — but using `rasterio` under the hood.

## Installation

```bash
pip install tiff-tf-loader

Usage

from tiff_tf_loader import tiff_image_dataset_from_directory

train_ds = tiff_image_dataset_from_directory(
    "/path/to/data",
    image_size=(128, 128),
    batch_size=32,
    label_mode="categorical",
    validation_split=0.2,
    subset="training",
    seed=42
)
