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app.py
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@@ -40,8 +40,9 @@ DESCRIPTION = '''# ECCV'22 | Panoptic Scene Graph Generation
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π― π― π― The PSG Development Team is currently focusing on **(1) π§ββοΈ Next-Generation PSG Models**, **(2) π΅οΈββοΈ Relation-Aware Visual Reasoning from PSG Models**, and **(3) π¨ Relation-Aware Image Generation from Scene Graph and Caption**. If you are also interested in the related researches, please reach out and contact us!
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Inference takes 10-30 seconds per image. The model is PSGTR (60 epochs). You can upload your own pictures
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The demo will output a GIF to show the first 10 "subject-verb-object" relations, and
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'''
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FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=c-liangyu.openpsg" alt="visitor badge" />'
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π― π― π― The PSG Development Team is currently focusing on **(1) π§ββοΈ Next-Generation PSG Models**, **(2) π΅οΈββοΈ Relation-Aware Visual Reasoning from PSG Models**, and **(3) π¨ Relation-Aware Image Generation from Scene Graph and Caption**. If you are also interested in the related researches, please reach out and contact us!
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Inference takes 10-30 seconds per image. The model is PSGTR (60 epochs). You can upload your own pictures or select the examples below to play.
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The demo will output a GIF to show the first 10 "subject-verb-object" relations, with the subject and object being grounded by segmentation masks.
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A gallery is attached below for reference.
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'''
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FOOTER = '<img id="visitor-badge" src="https://visitor-badge.glitch.me/badge?page_id=c-liangyu.openpsg" alt="visitor badge" />'
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