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  license: apache-2.0
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  license: apache-2.0
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+ ## Fast state_dict loading for local uniform pruning SlimSAM-50 model:
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+
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+ ``` python
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+ model = SamModel.from_pretrained("Zigeng/SlimSAM-uniform-50").to("cuda")
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+ processor = SamProcessor.from_pretrained("Zigeng/SlimSAM-uniform-50")
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+
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+ img_url = "https://huggingface.co/ybelkada/segment-anything/resolve/main/assets/car.png"
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+ raw_image = Image.open(requests.get(img_url, stream=True).raw).convert("RGB")
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+ input_points = [[[450, 600]]] # 2D localization of a window
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+ inputs = processor(raw_image, input_points=input_points, return_tensors="pt").to("cuda")
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+ outputs = model(**inputs)
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+ masks = processor.image_processor.post_process_masks(outputs.pred_masks.cpu(), inputs["original_sizes"].cpu(), inputs["reshaped_input_sizes"].cpu())
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+ scores = outputs.iou_scores
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+ ```