Queryable
natural-language-youtube-search
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| Queryable | natural-language-youtube-search | |
|---|---|---|
| 5 | 6 | |
| 2,424 | 895 | |
| - | - | |
| 7.9 | 0.0 | |
| 15 days ago | over 2 years 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.
natural-language-youtube-search
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Show HN: Sieve: We processed 24 hours of video in
Just pass this through openai clip and you would get a semantic search without much effort. For example this is for youtube videos - https://github.com/haltakov/natural-language-youtube-search
- Search inside YouTube videos using natural language
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OpenAI’s CLIP: Search Images with Descriptions Instead of Keywords
CLIP Video Search
- Show HN: Search inside YouTube videos using natural language queries
- Search inside YouTube videos using natural language queries
What are some alternatives?
clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
natural-language-image-search - Search photos on Unsplash using natural language
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
TargetCLIP - [ECCV 2022] Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
MoTIS - [NAACL 2022]Mobile Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP)
Puddles - A native SwiftUI app architecture
Chinese-CLIP - Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
bark.cpp - Port of Suno AI's Bark in C/C++ for fast inference
ReduxUI - 💎 Redux like architecture for SwiftUI