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well now they just randomly repositioned the image, resulting in missing hashes error (i guess so)
example:
new
![cherubi new](https://user-images.githubusercontent.com/67867904/91652060-0dccf880-e…
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Hi, I found this project by way of [your Stack Exchange post](https://dba.stackexchange.com/questions/72134/fast-hamming-distance-queries-in-postgres). I was considering trying something like this mys…
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The following images all generate a hash made up just of the character 'f' no matter how many bits specified:
![3](https://cloud.githubusercontent.com/assets/13089569/10267010/84b66594-6a88-11e5-9314…
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![images](https://user-images.githubusercontent.com/4141621/33699195-f056e0fc-db11-11e7-8058-c44fa2f79ab2.png)
There are alot of images in the level assets,. I'm working on it.
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For measuring the extent of difference in strings, we could use an algorithm for the [Edit distance](https://en.wikipedia.org/wiki/Edit_distance), e.g. the _Levenshtein distance_.
Doing so might en…
ghost updated
6 years ago
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Not really a feature request yet, but I think this would be a good place to discuss this idea by Alex Vanyo:
If you use a diff threshold of 0, instead of storing the reference images as PNG, store …
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Depending on the version of matplotlib, the way it was installed, the way other dependencies were installed and a bunch of other random factors, the results of our image comparison tests can vary slig…
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it match better pictures
http://www.phash.org/demo/
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Hi,
I was wondering, if minhash might be also able to create a locality sensitive hash for data files like pictures or any other binary data file?
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Maybe I am doing it wrong but I ran through about 1,250 images (out of more than 350,000) and hashed (Perceptual) them. I then stored the hash in the database and I am using the SQL Bit_COUNT to get …