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google / diffseg

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.
https://sites.google.com/corp/view/diffseg
MIT License
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question about tests #2

Closed ZTzxj closed 10 months ago

ZTzxj commented 11 months ago

Hello, I'd like to ask if you have the complete code for running performance tests.

margonzalezfranco commented 10 months ago

Hi! We have added the test and evaluation code for our two benchmarks! Enjoy :)

ZTzxj commented 10 months ago

Thanks! ！

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Original: From: Mar @.> Date: 2023-12-30 02:28:06 To: @.> Cc: @.>, @.> Subject: Re: [google/diffseg] question about tests (Issue #2) Hi! We have added the test and evaluation code for our two benchmarks! Enjoy :) — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>