Skip to main content

Topaz ready to use in scipion.

Project description

Topaz plugin

This plugin allows to use Topaz programs within the Scipion framework. It will allow to denoise, pre-process micrographs and pick particles within Scipion.

Topaz is a pipeline for particle detection in cryo-electron microscopy images which uses convolutional neural networks trained from positive and unlabeled examples.

Setup

For Users

Install Scipion3, follow the ‘Topaz integration’ instructions below and install the Topaz plugin.

For developers

  1. For testing and develop this plugin, you need to use the Scipion v3.0. For that, just install Scipion from GitHub, using the ‘devel’ branch.

  2. Follow the ‘Topaz integration’ instructions below.

  3. Clone this repository in you system:

    cd
    git clone https://github.com/scipion-em/scipion-em-topaz
  4. Install the Topaz plugin in devel mode:

    scipion installp -p ~/scipion-em-topaz --devel

Topaz integration

The following steps assume that you have Anaconda or Miniconda installed on your computer.

In ~/.config/scipion/scipion.conf:
Set CONDA_ACTIVATION_CMD variable in the Packages section.
For example: CONDA_ACTIVATION_CMD = . ~/anaconda2/etc/profile.d/conda.sh
Notice the command starts with a period! This will source the conda.sh script. This is needed to activate the conda environment.
For further information please visit the following website:
Set TOPAZ_ENV_ACTIVATION variable in the Packages section.
For example: TOPAZ_ENV_ACTIVATION = conda activate topaz-0.2.3
This will activate the conda environment with the default name.

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

scipion-em-topaz-3.0.1.tar.gz (37.8 kB view details)

Uploaded Source

Built Distribution

scipion_em_topaz-3.0.1-py3-none-any.whl (44.9 kB view details)

Uploaded Python 3

File details

Details for the file scipion-em-topaz-3.0.1.tar.gz.

File metadata

  • Download URL: scipion-em-topaz-3.0.1.tar.gz
  • Upload date:
  • Size: 37.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for scipion-em-topaz-3.0.1.tar.gz
Algorithm Hash digest
SHA256 2adf2dff7ea9bd1fd1076513a23412538850a0d2f301d36209836ab2639c9192
MD5 05c031d8fc5ccecefa9202b2c92403d7
BLAKE2b-256 692e8111002714f76a7c18d5900a8e9843bee615b65ec0c5b9006a7d46802415

See more details on using hashes here.

File details

Details for the file scipion_em_topaz-3.0.1-py3-none-any.whl.

File metadata

  • Download URL: scipion_em_topaz-3.0.1-py3-none-any.whl
  • Upload date:
  • Size: 44.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.23.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4

File hashes

Hashes for scipion_em_topaz-3.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fc06c1907ec77d1ba38fb7530f63be710bc3a5ebc30882995fba9a98fbba4955
MD5 baaf5719a79973b502310b8f0172e91e
BLAKE2b-256 375905414a8a3b8c9083cbf6b413c2e568426b48aeb5a4fc06a71317a36e6c49

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