Metadata-Version: 2.1
Name: torchtraps
Version: 0.1.3
Summary: Python package for computer vision on camera trap images.
Home-page: https://github.com/winzurk/torchtraps
Author: Zac Winzurk
Author-email: zwinzurk@asu.edu
License: MIT license
Keywords: torchtraps
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Requires-Dist: Pillow (>=7.0.0)
Requires-Dist: barbar (>=0.2.1)
Requires-Dist: jpeg4py (>=0.1.4)
Requires-Dist: matplotlib (>=3.0.0)
Requires-Dist: numpy (>=1.18.1)
Requires-Dist: opencv-python (>=4.2.0.32)
Requires-Dist: pandas (>=0.25.0)
Requires-Dist: scikit-learn (>=0.22.1)
Requires-Dist: scikit-plot (>=0.3.7)
Requires-Dist: torch (>=1.4.0)
Requires-Dist: torchvision (>=0.5.0)

=====================================
Torch Traps :leopard: :camera_flash:
=====================================


.. image:: https://img.shields.io/pypi/v/torchtraps.svg
        :target: https://pypi.python.org/pypi/torchtraps

.. image:: https://img.shields.io/travis/winzurk/torchtraps.svg
        :target: https://travis-ci.com/winzurk/torchtraps

.. image:: https://readthedocs.org/projects/torchtraps/badge/?version=latest
        :target: https://torchtraps.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status



Python package for lighting :zap: fast wildlife camera trap image annotation based on PyTorch. :fire:


* MIT license
* Documentation: https://torchtraps.readthedocs.io.

Install
--------
.. code-block:: bash

    $ pip install torchtraps

Fast Inference on Folder of Images
-------------------------------------------------

.. code-block:: python

    import torchtraps

    torchtraps.lightning.kachow('path/to/image/folder')


.. csv-table:: Example Output
    :header: "image", "prediction", "confidence"

        "image1.jpg", "jaguar", 0.99
        "image2.jpg", "empty", 0.98
        "image3.jpg", "agouti", 0.91
        "image4.jpg", "empty", 0.95
        "image5.jpg", "ocelot", 0.87



Features
--------

* Module for fast computer vision on camera trap images.
* Based on PyTorch




=======
History
=======

0.1.0 (2020-03-30)
------------------

* First release on PyPI.


