The unusual thing with my version is, it is in pure Node.js, with the power of node-mlx, a Node.js machine learning framework.
The repo in the link is mostly about implementing indexing and CLI, the code of the model implementation lives as a Node.js module: https://github.com/frost-beta/clip .
Hope this helps other learners!
10 images, each ~20 kb size, took more than 10 minutes to index, is that normal without GPU-acceleration?
https://github.com/spullara/photoindex
Oh and if you want to run something locally on your iphone you can use my app I am still testing:
There are a lot of tool/apps that let you “search images” but not much that lets you just as easily “read images”
Would this be able to do that and how likely is it It will see a pc release.
Give an image to CLIP and you can compare the similarity between the image and a sentence like 'a vase with roses in it'. Whereas with YOLO you give it an image and get the coordinates of bounding boxes around a vase, and around roses.
Is there a job/services that confirm that branding is appropriate across different languages? Seems like a non trivial problem to solve.
Took me 5 minutes to land this GPT prompt.
https://chatgpt.com/share/66e84c0c-a92c-800a-b452-255d6fe942...
Results:
- Chinese (Simplified) 四四 (sì sì) – sounds like "four-four", which can be associated with bad luck due to the number four in Chinese culture
- Arabic "Sisi" is a common nickname, also associated with Egypt's President Abdel Fattah el-Sisi
- Russian Сиси (sisi) – slang for breasts
- Bulgarian Сиси (sisi) – slang for breasts
- Serbian Сиси (sisi) – slang for breasts
- Croatian Sisi – slang for breasts
You should probably complement with a web search and a wiktionary search because they have all languages on a single page.
In Bulgarian the slang is Цици (tsi tsi). I imagine it's near-identical for many other Slavic languages.
https://en.m.wiktionary.org/wiki/%D0%BF%D0%B8%D0%B4%D0%BE%D1...
