rclip VS clip-as-service

The installation instructions are in the project README: https://github.com/yurijmikhalevich/rclip. I use the prebuilt executable option to install it on my Synology NAS.

rclip source code is published on GitHub under the MIT license: https://github.com/yurijmikhalevich/rclip. Give it a try, and let me know what you think!

Use this command line project called rclip which is the easiest way to use CLIP models on your local folders of images. It was written by /u/39dotyt (thanks again!).

https://github.com/yurijmikhalevich/rclip https://mikhalevi.ch/rclip-an-ai-powered-command-line-photo-search-tool

The latter would be easy to use with https://github.com/yurijmikhalevich/rclip .

For images rclip can give you search that's better than Google Photos with entirely unannotated data and pure natural English queries.

Google Photos can do this kind of searching for specific objects and combinations. I'm not sure if there is a tool that you can install locally that will do it. What we're probably looking for is a local image search engine powered by CLIP. Something like this, but with a GUI on Windows. It would be cool if tools like Eagle integrated CLIP into them, so you didn't have to manually tag everything, they were just auto-tagged with the content that is already in them. PhotoPrism might be the closest thing yet.

Indexing was done with this other guy's github project. It was convenient because it automatically handles things like "continue where it left off".

It's based on https://github.com/yurijmikhalevich/rclip who posted his project here a while ago.

I think training models with limited images can lead to overfitting, so I think you can try using a set of images with different poses. You might also want to try flipping or to help out the model so it gets to do different psoes. You might also want CLIP-as-a-service, but just know that pre-trained models isn't always be the best solution. My .02c

Imagine an AI-powered grep command, one that could process a film and find segments matching a text. With CLIP-as-service, you can do that. Here is the repo link, https://github.com/jina-ai/clip-as-service.

you could try Jina.ai's CLIP-as-a-Service: https://github.com/jina-ai/clip-as-service

Multisearch allows people to search with both text and images. With Open-Source project CLIP-as-service, you can use CLIP (a deep learning model by OpenAI) to do the same. Ask me if you have any questions?

Are you scraping these images or using any dataset? Do share the link, would love to play around with it. Would love to hear your feedback for clip-as-service (what I use in my example)?

Built CLIP-as-service, an open-source library to create embeddings of images and text using CLIP. These embeddings can be used to find the relevant images for any sentence. Note: you don't need to caption the images for this to work, and it is not just limited to objects in the image but an overall understanding built via CLIP neural network.

Built [CLIP-as-service](https://github.com/jina-ai/clip-as-service), an open-source library to create embeddings of images and text using CLIP.

Excited to share my new project CLIP-as-service, a high-scalability service for embedding images and text. It serve CLIP models with ONNX runtime and PyTorch JIT with 800QPS.