Skip to main content

Remove echosounder noise by identifying the ocean floor and entrained air at the ocean surface.

Reason this release was yanked:

Bad requirements specification

Project description

Echofilter is an application for segmenting an echogram. It takes as its input an Echoview .EV file, and produces as its output several lines and regions:

  • turbulence (entrained air) line

  • bottom (seafloor) line

  • surface line

  • nearfield line

  • passive data regions

  • *bad data regions for entirely removed periods of time, in the form of boxes covering the entire vertical depth

  • *bad data regions for localised anomalies, in the form of polygonal contour patches

Echofilter uses a machine learning model to complete this task. The machine learning model was trained on upfacing stationary and downfacing mobile data provided by Fundy Ocean Research Centre for Energy (FORCE).

Full documentation can be viewed here.

Usage

After installing, the model can be applied at the command prompt with:

echofilter PATH PATH2 ...

Any number of paths can be specified. Each path can either be a path to a single csv file to process (exported using the Echoview application), or a directory containing csv files. If a directory is given, all csv files within nested subfolders of the directory will be processed.

All optional parameters can be seen by running echofilter with the help argument.

echofilter -h

Installation

The package can be installed using pip as follows:

pip install git+https://github.com/DeepSenseCA/echofilter

License

Copyright (C) 2020-2022 Scott C. Lowe and Offshore Energy Research Association (OERA)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, version 3.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see <https://www.gnu.org/licenses/>.

Project details


Download files

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

Source Distribution

echofilter-1.0.2.tar.gz (149.0 kB view details)

Uploaded Source

Built Distribution

echofilter-1.0.2-py3-none-any.whl (167.0 kB view details)

Uploaded Python 3

File details

Details for the file echofilter-1.0.2.tar.gz.

File metadata

  • Download URL: echofilter-1.0.2.tar.gz
  • Upload date:
  • Size: 149.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for echofilter-1.0.2.tar.gz
Algorithm Hash digest
SHA256 7ae7cbfa2ebfc02e95f6578ba320196e8737897220d336a4a1434b6ef2888981
MD5 7fce43ae00cc0f2ebf68d55c81e1e17e
BLAKE2b-256 531c2bd534870e564e3e4c23e2950abc1fc3e43de4c7c711cb548516efe1c0b8

See more details on using hashes here.

File details

Details for the file echofilter-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: echofilter-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 167.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for echofilter-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 66dffb4d54591346084a932ddb30b59770e759a58fc9dc52930008f02ab71622
MD5 f703adbafe9c94db0879eefef67405e8
BLAKE2b-256 51ca63774ec711ef942786065129a63fe6668bd41e7ac478b18e74f8b25548eb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page