![]() ![]() Update: Provided benchmarks are only valid upto imagededup v0.2.2. It is also possible to use your own custom models for finding duplicates using the CNN method.įor more detailed usage of the package functionality, refer: ⏳ Benchmarks ![]() utils import plot_duplicates plot_duplicates( image_dir = 'path/to/image/directory', # plot duplicates obtained for a given file using the duplicates dictionary from imagededup. find_duplicates( encoding_map = encodings) # Find duplicates using the generated encodings duplicates = phasher. encode_images( image_dir = 'path/to/image/directory') # Generate encodings for all images in an image directory encodings = phasher. Install imagededup from PyPI (recommended):įrom imagededup.There are two ways to install imagededup: It is distributed under the Apache 2.0 license. Imagededup is compatible with Python 3.8+ and runs on Linux, MacOS X and Windows. Plotting duplicates found for a given image file.ĭetailed documentation for the package can be found at:.Framework to evaluate effectiveness of deduplication given a ground truth mapping.Generation of encodings for images using one of the above stated algorithms.Convolutional Neural Network (CNN) - Select from several prepackaged models or provide your own custom model. ![]()
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