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@ -73,8 +73,8 @@ Summary: Images are resized in a special way to squares of fixed size called "ic
## Customization suggestions
**To increase precision** you can either use your own thresholds in func `EucMetric` (and `PropMetric`) OR generate icons for image sub-regions and compare those icons.
**To increase precision** you can use your own thresholds in func `EucMetric` (and `PropMetric`) OR generate icons for image sub-regions and compare those icons.
**To speedup file processing** you may want to generate icons for available image thumbnails. Specifically, many JPEG images contain [EXIF thumbnails](https://vitali-fedulov.github.io/similar.pictures/jpeg-thumbnail-reader.html), you could considerably speedup the reads by using decoded thumbnails to feed into func `Icon`. External packages to read thumbnails: [1](https://github.com/dsoprea/go-exif) and [2](https://github.com/rwcarlsen/goexif). A note of caution: in rare cases there could be [issues](https://security.stackexchange.com/questions/116552/the-history-of-thumbnails-or-just-a-previous-thumbnail-is-embedded-in-an-image/201785#201785) with thumbnails not matching image content. EXIF standard specification: [1](https://www.media.mit.edu/pia/Research/deepview/exif.html) and [2](https://www.exif.org/Exif2-2.PDF).
**To accelerate image decoding** you can generate icons for embedded image thumbnails. Specifically, many JPEG images contain [EXIF thumbnails](https://vitali-fedulov.github.io/similar.pictures/jpeg-thumbnail-reader.html). Packages to read thumbnails: [1](https://github.com/dsoprea/go-exif) and [2](https://github.com/rwcarlsen/goexif). A note of caution: in rare cases there could be [issues](https://security.stackexchange.com/questions/116552/the-history-of-thumbnails-or-just-a-previous-thumbnail-is-embedded-in-an-image/201785#201785) with thumbnails not matching image content. EXIF standard specification: [1](https://www.media.mit.edu/pia/Research/deepview/exif.html) and [2](https://www.exif.org/Exif2-2.PDF).
**To search in very large image collections** (billions or more), use preliminary hash-table-based filtering with package [imagehash](https://github.com/vitali-fedulov/imagehash).
**To search in very large image collections** (millions and more), use hash-table pre-filtering with my package [imagehash](https://github.com/vitali-fedulov/imagehash).