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Archived KNIME and anaconda python environment for multiple-template-matching

Authors: Laurent Thomas;

Archived KNIME and anaconda python environment for multiple-template-matching

Abstract

This repository contains archived version at the time of publication of the KNIME installation, Anaconda python environment and KNIMe workflow to run multiple template matching in KNIME. - KNIME.zip: Zipped KNIME installation for windows. Unzip and run the .exe to have a preconfigure KNIME installation (extensions...). Only the link to the python environment has to be set. - MultiTemplateMatching.knwf: Workflow file that can be open in KNIME by double clicking - PyEnv-KNIME-TemplateMatching.zip: preset Python environment for Anaconda. Unzip into a subfolder of PathToYourAnaconda/envs Once KNIME and Anaconda are set, in KNIME point to the newly created python environment File>Preferences>KNIME>Python and set the Python3 path to the python.exe in the newly created environment folder PathToYourAnaconda/envs/Template_Matching-KNIME

Keywords

python, Template Matching, KNIME, opencv

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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