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From: Maximilian Kaindl <m.kaindl0208@gmail.com>
To: FFmpeg development discussions and patches <ffmpeg-devel@ffmpeg.org>
Subject: Re: [FFmpeg-devel] [PATCH] avfilter/dnn: add zero-shot image classification using CLIP models
Date: Mon, 17 Feb 2025 16:28:36 +0000
Message-ID: <AS4PR03MB84362CEF13095B27DBD25812A4FB2@AS4PR03MB8436.eurprd03.prod.outlook.com> (raw)
In-Reply-To: <PH7PR11MB59579F563AA47D00092A03A3F1F82@PH7PR11MB5957.namprd11.prod.outlook.com>

Hello Yejun Guo,

yes i can do that and submit it in another patch. Do you also have some feedback for the clip backend? I have already made some small changes (cuda accel and new preprocessing) that i will submit along with the other patch, but i would like to hear your thoughts.

Thanks

________________________________
From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> on behalf of Guo, Yejun <yejun.guo-at-intel.com@ffmpeg.org>
Sent: Sunday, February 16, 2025 7:09 AM
To: FFmpeg development discussions and patches <ffmpeg-devel@ffmpeg.org>
Subject: Re: [FFmpeg-devel] [PATCH] avfilter/dnn: add zero-shot image classification using CLIP models



> -----Original Message-----
> From: ffmpeg-devel <ffmpeg-devel-bounces@ffmpeg.org> On Behalf Of
> m.kaindl0208@gmail.com
> Sent: Thursday, January 30, 2025 4:33 AM
> To: ffmpeg-devel@ffmpeg.org
> Subject: [FFmpeg-devel] [PATCH] avfilter/dnn: add zero-shot image
> classification using CLIP models
>
> Add a new filter 'dnn_clip' that performs zero-shot image classification using
> CLIP (Contrastive Language-Image Pre-Training) models. The filter supports:

For image classification with new dnn models, we'd better add the new model
support with dnn_classify at https://ffmpeg.org/ffmpeg-filters.html#dnn_005fclassify


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  reply	other threads:[~2025-02-17 16:28 UTC|newest]

Thread overview: 5+ messages / expand[flat|nested]  mbox.gz  Atom feed  top
2025-01-29 20:33 m.kaindl0208
2025-02-16  6:08 ` Guo, Yejun
2025-02-17 16:28   ` Maximilian Kaindl [this message]
2025-02-18 10:09     ` Guo, Yejun
2025-02-18 12:17       ` m.kaindl0208

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