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Running
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Zero
Running
on
Zero
Update app.py
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app.py
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@@ -176,15 +176,14 @@ examples = [
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output_labels = ["Segmentation Output"]
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title = "LISA:
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description = """
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<font size=4>
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This is an adapted version of the online demo for LISA, where we
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If multiple users are using it at the same time, they will enter a queue, which may delay some time. \n
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**Note**: **Different prompts can lead to significantly varied results**. \n
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**Note**: Please try to **standardize** your input text prompts to **avoid ambiguity**, and also pay attention to whether the **punctuations** of the input are correct. \n
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**Note**: Current model is **LISA-13B-llama2-v0-explanatory**, and 4-bit quantization may impair text-generation quality. \n
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**Usage**: <br>
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 (1) To let LISA **segment something**, input prompt like: "Can you segment xxx in this image?", "What is xxx in this image? Please output segmentation mask."; <br>
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 (2) To let LISA **output an explanation**, input prompt like: "What is xxx in this image? Please output segmentation mask and explain why."; <br>
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@@ -195,12 +194,17 @@ Hope you can enjoy our work!
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article = """
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<p style='text-align: center'>
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<a href='https://
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</a>
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\n
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<p style='text-align: center'>
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<a href='https://
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"""
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]
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output_labels = ["Segmentation Output"]
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title = "LISA-AVS: LISA 7B Model Finetuned on AVS-Bench Dataset"
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description = """
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<font size=4>
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Note: This is an adapted version of the online demo for LISA, where we finetune from scratch the LISA model (7B) with data from AVS-Bench (Search-TTA). \n
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If multiple users are using it at the same time, they will enter a queue, which may delay some time. \n
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**Note**: **Different prompts can lead to significantly varied results**. \n
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**Note**: Please try to **standardize** your input text prompts to **avoid ambiguity**, and also pay attention to whether the **punctuations** of the input are correct. \n
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**Usage**: <br>
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 (1) To let LISA **segment something**, input prompt like: "Can you segment xxx in this image?", "What is xxx in this image? Please output segmentation mask."; <br>
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 (2) To let LISA **output an explanation**, input prompt like: "What is xxx in this image? Please output segmentation mask and explain why."; <br>
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article = """
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<p style='text-align: center'>
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<a href='https://search-tta.github.io/' target='_blank'>
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Search-TTA
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</a>
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\n
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<p style='text-align: center'>
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<a href='https://huggingface.co/datasets/derektan95/avs-bench' target='_blank'>
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AVS-Bench
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</a>
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\n
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<p style='text-align: center'>
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<a href='https://github.com/dvlab-research/LISA' target='_blank'> LISA Project </a></p>
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"""
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