difPy Web App
Note
📱 Try the new difPy Web App!
The difPy Web App is based on difPy, a Python-based package that automates the search for duplicate/similar images.
Quick Start Guide
To search for duplicate images with the difPy Web App, start by uploading the images you would like to compare. After the images have been uploaded, click “Run difPy!” to make difPy do its magic.
difPy Web App interface
difPy Web will scan the uploaded images for duplicates and will let you download a ZIP file of all your deduplicated files! ✨
Additional Options
The difPy search algorithm can be customized by adjusting the additional options.
Fast Search (FSA)
difPy Web can leverage difPy’s Fast Search Algorithm (FSA) for increased performance when searching for duplicate images. FSA can not be enabled when searching for similar images.
Similarity
difPy Web can search for duplicate or similar images within the uploaded files. By default, difPy will search for duplicate images. Select “similar” to search for similar images.
More information on similarity can be found in the similarity (str, int) section.
Pixel Size
Note
Recommended not to change default value.
The pixel size is the absolute size in pixels (width x height) the images will be resized to before being compared. This is done to speed up the comparison process. The higher the pixel size parameter, the more computational ressources and time required. The lower the pixel size parameter, the faster, but the more imprecise the comparison process gets.
More information on FSA can be found in the px_size (int) section.
Limitations
Some limitations of difPy Web include:
A maximum of 200 images can be uploaded and compared at once.
Please ensure all uploaded files have a unique filename. If two files are uploaded that have the same filename, difPy web will overwrite them when uploaded. This applies even if the files are located in different folders in the source.
❤️ difPy is an open source project with the aim of facilitating image deduplication - for everyone. Consider donating to support the project 🫶
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