Skip to main content

ovarian follicle analysis pipeline

Project description

ovary-analysis

Image processing pipeline for ultrasound images of ovaries.

Installation

First, clone the repository

git clone git@git.bsse.ethz.ch:iber/ovary-analysis.git

Then, cd to the directory you cloned the repository into

cd ovary-analysis

Create a new python environment for the ovary-analysis package. If you are using anaconda, you can do the following

conda create -n ovary-analysis python=3.7

Activate your new environment

conda activate ovary-analysis

Install the ovary-analysis package with with. If you are just using the package, install using:

pip install .

If you want to install for development, use the pip editable mode:

pip install -e .

Developer tools

We use black and flake8 for formatting assistance. To install them, run the following from the repository directory

pip install -r requirements-dev.txt

Finally, install the pre-commit hooks.

pre-commit install

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

ovary-analysis-0.0.2.tar.gz (41.8 kB view details)

Uploaded Source

File details

Details for the file ovary-analysis-0.0.2.tar.gz.

File metadata

  • Download URL: ovary-analysis-0.0.2.tar.gz
  • Upload date:
  • Size: 41.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.7.9

File hashes

Hashes for ovary-analysis-0.0.2.tar.gz
Algorithm Hash digest
SHA256 d6a31c87305d19d26173d95efcb533aeaec4e057e0cf21df23b68ed1932dc485
MD5 ed37f5ecb2156d60720fd048f0e0562d
BLAKE2b-256 4153a244476920a0b1e14d85aa39c3ce81e17ecd63db6db7d51b852f616fde22

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