Queryable
clip-retrieval
| Queryable | clip-retrieval | |
|---|---|---|
| 5 | 11 | |
| 2,424 | 2,139 | |
| - | - | |
| 7.9 | 7.7 | |
| 19 days ago | 18 days ago | |
| Swift | Jupyter Notebook | |
| MIT License | MIT License |
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Queryable
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I accidentally built a meme search engine
You might be interested in this, https://github.com/mazzzystar/Queryable, https://queryable.app/
I run it on my iPhone.
Native app. Doesn't require a network connection (great for privacy).
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Meta's Segment Anything written with C++ / GGML
I think you would want to use something like CLIP embeddings for image search.
Really enjoyed using this app for iOS: https://github.com/mazzzystar/Queryable
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Shortcuts ?
This project is open source, so maybe someone will help implement it in the future. :)
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[P] I open sourced Queryable - a CLIP-based photo search app (SwiftUI)
Many Americans distrust Chinese developers, fearing their photo album privacy would be violated and therefore are reluctant to use the product. I often receive emails from some developers asking about technical details. Now that it's free, why not make the source code available too. The link is: https://github.com/mazzzystar/Queryable.
clip-retrieval
- FLaNK AI for 11 March 2024
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[D] data for handwriting recognition
The tool clip-retreival lets you filter those 400 million images to whatever subsets you're interested in --- for example, 10,000 images of (mostly) handwriting.
- Stable Attribution
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Same.energy: Image Search by Similarity
Hehe, well you know, PR welcome, the front end is 500 lines https://github.com/rom1504/clip-retrieval/blob/main/front/sr...
Other people have done a few alternate front ends already
This one is meant to be functional, but could sure be made prettier
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Is there a way to use clip or blip to search a massive collection of images for specific things within the picture?
This might work: https://github.com/rom1504/clip-retrieval .
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Ai art
HaveIBeenTrained uses clip retrieval to search the Laion-5B and Laion-400M image datasets. These are currently the largest public text-to-image datsets, and they are used to train models like Stable Diffusion, Imagen, among many others.
- Image Similarity Score using transfer learning
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Exploring 12M of the 2.3B Images Used to Train Stable Diffusion
Done https://github.com/rom1504/clip-retrieval/commit/53e3383f58b...
Using clip for searching is better than direct text indexing for a variety of reasons but here for example because it matches better what stable diffusion sees
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Semantic and Similarity Image Search Engine
Based on OpenAI's CLIP and the clip-retrieval library (https://github.com/rom1504/clip-retrieval), I've built an end-to-end demo for a semantic and similarity image search engine. It's incredibly powerful for finding similar images amongst large image datasets, or just submitting text/natural language queries and finding the most relevant images in your dataset. Really useful tool for introspection into large datasets before annotation or ML work begins. This could potentially be used to filter or downsize your datasets by several orders of magnitude and make annotation and ML work easier and less costly.
Checkout the demo here:
http://ec2-52-39-251-116.us-west-2.compute.amazonaws.com/
And you can checkout our website or email me for updates and email list, etc.:
https://machineperception.co
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What every software engineer should know about search
Assuming you have an NVIDIA GPU, you can build a semantic search engine by indexing CLIP embeds (image or text).
https://github.com/rom1504/clip-retrieval
What are some alternatives?
natural-language-image-search - Search photos on Unsplash using natural language
Typesense - Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
MoTIS - [NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)
natural-language-youtube-search - Search inside YouTube videos using natural language
laion-aesthetic-datasette - Use Datasette to explore LAION improved_aesthetics_6plus training data used by Stable DIffusion
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
open_clip - An open source implementation of CLIP.
clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian
Puddles - A native SwiftUI app architecture
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP