Dogs vs. Cats Kaggle's competition project (inference)

This project brings an usable simple solution for the Kaggle's competition dogs-vs-cats (https://www.kaggle.com/c/dogs-vs-cats). Training project can be found at https://github.com/albertoburgosplaza/dogs-vs-cats.

Quick start

from dogsvscats.predict import predict
predict(<image_path>)

Check the Colab notebook:

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for dogsvscats 0.2.2
File	Size	Uploaded
dogsvscats-0.2.2.tar.gz	7.5 kB	Oct 18, 2021	Details

Table of built distributions (wheels) for dogsvscats 0.2.2
File	Interpreter	ABI	Platform	Reset
dogsvscats-0.2.2-py3-none-any.whl 13.0 kB Oct 18, 2021	Python 3	none	any	Details

Total release size: 20.5 kB

Download URL	dogsvscats-0.2.2.tar.gz
Size	7.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`6f44401948210edfeb4f561ead373f8df16e1682165fe23a04fa172844961b20`
BLAKE2b-256 checksum How to use checksums	`67cf37cabc62467bdb80fd661a1881d35b4d4c4d8b5a2d0ecba97d45f364cc13`
Upload date	Oct 18, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.2 importlib_metadata/4.2.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.9`

Download URL	dogsvscats-0.2.2-py3-none-any.whl
Size	13.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`6bc7f637bfd84ceba5bbd88345eb9a2849b7ec971002a74a5e87b4a28fba6175`
BLAKE2b-256 checksum How to use checksums	`d95d12ec855441669bff9a006987a60b2f4bc42192c7891459ba8452e2ab31c5`
Upload date	Oct 18, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.2 importlib_metadata/4.2.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.9`