MoTIS
Marshal
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MoTIS
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[D] Are there any apps that run model inference on the mobile device (Android or iPhone) itself?
I personally is maintaining an iOS app which enables users to search photos with text query using cross-modal retrieval. Github repo is here: https://github.com/DRSY/MoTIS.
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[P] Using CLIP to search for photos on mobile devices
I just wanna share my work on deploying CLIP on a mobile device to enable semantic search from text to photos. We have created a demo iOS app and open-sourced it on GitHub: https://github.com/DRSY/MTIS.
Marshal
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Tracking mentions began in Dec 2020.
What are some alternatives?
clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them
json-swift - A basic library for working with JSON in Swift.
Queryable - Run OpenAI's CLIP model on iOS to search photos.
AlamofireObjectMapper - An Alamofire extension which converts JSON response data into swift objects using ObjectMapper
HandyJSON - A handy swift json-object serialization/deserialization library
now - 🧞 No-code tool for creating a neural search solution in minutes
Serpent - A protocol to serialize Swift structs and classes for encoding and decoding.
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Motis - Easy JSON to NSObject mapping using Cocoa's key value coding (KVC)
SwiftyJSON - The better way to deal with JSON data in Swift.
ObjectMapper - Simple JSON Object mapping written in Swift