[GH-ISSUE #232] Encode an image with rscid-v2 and rscid-v2 processor not working #204

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opened 2026-10-31 21:12:24 +00:00 by bsakaguchi · 1 comment
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Originally created by @Pinneaple on GitHub (Apr 19, 2022).
Original GitHub issue: https://github.com/openai/CLIP/issues/232

Hello,

I would like to encode an image and a text separately into a vector using clip-rscid-v2 and save them into a nearest neighbor library. What will be the best approach to encode an image? I would like to replicate the model.encode_image(image) from the origin clip model. Also, process = CLIPProcessor.from_pretrained("flax-community/clip-rsicd-v2") does not work.

Thanks

Originally created by @Pinneaple on GitHub (Apr 19, 2022). Original GitHub issue: https://github.com/openai/CLIP/issues/232 Hello, I would like to encode an image and a text separately into a vector using clip-rscid-v2 and save them into a nearest neighbor library. What will be the best approach to encode an image? I would like to replicate the model.encode_image(image) from the origin clip model. Also, process = CLIPProcessor.from_pretrained("flax-community/clip-rsicd-v2") does not work. Thanks
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@jongwook commented on GitHub (Apr 19, 2022):

This repo is unrelated to HuggingFace's CLIP implementation (CLIPProcessor) or independently developed rscid-v2. You can find more information or file issue at https://github.com/huggingface/transformers or https://github.com/arampacha/CLIP-rsicd.

<!-- gh-comment-id:1102516676 --> @jongwook commented on GitHub (Apr 19, 2022): This repo is unrelated to HuggingFace's CLIP implementation (`CLIPProcessor`) or independently developed `rscid-v2`. You can find more information or file issue at https://github.com/huggingface/transformers or https://github.com/arampacha/CLIP-rsicd.
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openai/CLIP#204
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