nosypy-gpu

NosyPy is a self supervised novelty detection package built for time lapse imagery using Python.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

NosyPy is a self supervised novelty detection package built for time lapse imagery using Python.

It is built ontop of Tensorflow
It uses a self supervised learning approach, removing the need for manual annotation
It identifies areas in each image which likely contain an object, or objects, of interest

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.0.2

Feb 11, 2019

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Feb 11, 2019 Source

Uploaded Feb 11, 2019 Python 2

Hashes for nosypy-gpu-0.0.2.tar.gz
Algorithm	Hash digest
SHA256	`df4b47f49af7636fd0e60b63df1f106010971fd7426045b9e7554849612ce88d`
MD5	`d07d14c6437f68f76da6e51f460d8967`
BLAKE2b-256	`3c6931a14ec2dd4ecec2bcc35650b3a2e506a0896569d14fd9ad23e696f80e4f`

Hashes for nosypy_gpu-0.0.2-py2-none-any.whl
Algorithm	Hash digest
SHA256	`8e7bce4c40a3bc0d10cd974b1b6c362f52c33c8bd483c6f8936bbdf3b805bae7`
MD5	`55e8b9a3cb27f68864112e0096b80eb9`
BLAKE2b-256	`88bdbb85bd61431f5b1dff52ad89b97832e3a6ca1cff47f3a510d40cc6367875`