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Image & dataset analyzer based on many different similarity measures. Developed for the UvA Multimedia Analysis Course

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jonathan-gerb/deepsim-analyzer

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deepsim-analyzer

Image & dataset analyzer based on deep similarity measures. Developed for the UvA Multimedia Analysis Course

Development

To develop or make adjustments to the code, please install install the package locally in a new conda environment.

First create a new environment and install the requirements:

conda create -n ds-analyzer python=3.11
conda activate ds-analyzer
pip install -r requirements.txt

Next clone the repository and install it locally for development:

git clone https://github.com/jonathan-gerb/deepsim-analyzer
cd deepsim-analyzer
pip install -e .

You can start the GUI by calling.

ds-analyzer -i "path/to/images"

For a description of the parameters use the help argument:

ds-analyzer --help

Using the GUI

Installing

To use the GUI, please install first the package using pip:

pip install git+https://github.com/jonathan-gerb/deepsim-analyzer

now run the GUI with

ds-analyzer -i "path/to/images"

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Image & dataset analyzer based on many different similarity measures. Developed for the UvA Multimedia Analysis Course

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