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Currently images are referenced by hashing its content with sha-1 which gives totally different id to very similar images. In difference, I think perceptual image hashing is better alternative here.
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To spot duplicate images (where the file content differs such that the sha256 is no longer a match) it would be useful to calculate and store perceptual hashes of some sort.
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Closed beta for perceptual hashing of image uploads feature.
**_*This is not a guaranteed feature... Any new or existing requirements must be completed before entering public beta._**
# Requiremen…
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The Keras has provided high level library functions for deep learning, however, it didn't provide any connectors to the database. As Caffe provided standard database usage for dataset preprocessing,
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https://lvngd.com/blog/determining-how-similar-two-images-are-python-perceptual-hashing/
https://medium.com/analytics-vidhya/image-search-engine-using-image-hashing-technique-in-python-e6749dacc8f7…
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Related to the latest censorship scandal around Apple and its image scanning efforts I came across this topic:
https://en.wikipedia.org/wiki/Perceptual_hashing
IMHO it is a nice mechanism in gener…
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it would be really neat to be able to search for ads that use an image (e.g. a news photo or a meme) OR group ads that use the same image.
The way to do this would likely be to -- at some point -- …
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![image](https://github.com/rdugan/iceriver-oc/assets/36722911/34c00472-b14a-4e98-b2dc-bbfe14f73909)
![image](https://github.com/rdugan/iceriver-oc/assets/36722911/ee2d2dd1-99b9-4681-ace6-bf1240ce5d6…
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When a cluster is allocated to one bucket with more than 20 disks, then the volume of date files is distributed randomly across the disks, which leads to distortions. Somewhere it’s empty, and somewhe…