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app.py
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@@ -1,12 +1,14 @@
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from transformers import pipeline, SamModel, SamProcessor
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import torch
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import numpy as np
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checkpoint = "google/owlvit-base-patch16"
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detector = pipeline(model=checkpoint, task="zero-shot-object-detection")
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sam_model = SamModel.from_pretrained("facebook/sam-vit-base").to("cuda")
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sam_processor = SamProcessor.from_pretrained("facebook/sam-vit-base")
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def query(image, texts, threshold):
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texts = texts.split(",")
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print(texts)
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from transformers import pipeline, SamModel, SamProcessor
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import torch
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import numpy as np
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import spaces
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checkpoint = "google/owlvit-base-patch16"
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detector = pipeline(model=checkpoint, task="zero-shot-object-detection")
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sam_model = SamModel.from_pretrained("facebook/sam-vit-base").to("cuda")
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sam_processor = SamProcessor.from_pretrained("facebook/sam-vit-base")
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@spaces.GPU
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def query(image, texts, threshold):
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texts = texts.split(",")
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print(texts)
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