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refactor(pipeline): integrate SAM segmentation and modularize model loading
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@@ -1,10 +1,11 @@
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model:
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name: "facebook/dinov2-large"
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dino_model: "facebook/dinov2-large"
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compression_dim: 512
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device: "auto" # auto-detect GPU
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sam_model: "facebook/sam2.1-hiera-large" # SAM model name
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sam_min_mask_area: 100 # Minimum mask area threshold
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sam_max_masks: 10 # Maximum number of masks to keep
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sam_points_per_batch: 64
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compressor_path: null # Path to trained HashCompressor weights (optional)
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output:
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