vobecant
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Initial commit.
Browse files- app.py +1 -1
- examples/snow1.jpg +0 -0
app.py
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@@ -183,7 +183,7 @@ title = "Drive&Segment"
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description = 'Gradio Demo accompanying paper "Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation"\nBecause of the CPU-only inference, it might take up to 20s for large images.\nRight now, I use the Segmenter model trained on nuScenes and with 256x256 patches (for the sake of speed).'
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# article = "<p style='text-align: center'><a href='TODO' target='_blank'>Project Page</a> | <a href='codelink' target='_blank'>Github</a></p>"
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examples = [['examples/img5.jpeg', False], ['examples/100.jpeg', False], ['examples/39076.jpeg', False],
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['examples/img1.jpg', False]]
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# predict(examples[0])
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description = 'Gradio Demo accompanying paper "Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation"\nBecause of the CPU-only inference, it might take up to 20s for large images.\nRight now, I use the Segmenter model trained on nuScenes and with 256x256 patches (for the sake of speed).'
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# article = "<p style='text-align: center'><a href='TODO' target='_blank'>Project Page</a> | <a href='codelink' target='_blank'>Github</a></p>"
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examples = [['examples/img5.jpeg', False], ['examples/100.jpeg', False], ['examples/39076.jpeg', False],
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['examples/img1.jpg', False], ['examples/snow1.jpg',False]]
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# predict(examples[0])
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examples/snow1.jpg
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