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clip: |
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semantic_clip_model_name: 'ViT-L/14' |
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semantic_pretrained_data: 'openai' |
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clip_model_name: "ViT-B/16" |
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pretrained_data: 'openai' |
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|
|
|
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car: |
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iom_thres: 0.7 |
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mask_threshold: 0.5 |
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min_area_ratio: 0.2 |
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num_iteration: 1 |
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confidence_threshold: 0.3 |
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clipes_threshold: 0.5 |
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visual_prompt_type: ['blur', 'gray'] |
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semantic_templates: ['a clean origami {}.', |
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'a photo of a {}.', |
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'This is a photo of a {}', |
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'There is a {} in the scene', |
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'There is the {} in the scene', |
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'a photo of a {} in the scene', |
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'a photo of a small {}.', |
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'a photo of a medium {}.', |
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'a photo of a large {}.', |
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'This is a photo of a small {}.', |
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'This is a photo of a medium {}.', |
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'This is a photo of a large {}.', |
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'There is a small {} in the scene.', |
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'There is a medium {} in the scene.', |
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'There is a large {} in the scene.'] |
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bg_cls: ['ground', 'land', 'grass', 'tree', 'building', |
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'wall', 'sky', 'lake', 'water', 'river', 'sea', |
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'railway', 'railroad', 'helmet', 'cloud', 'house', |
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'mountain', 'ocean', 'road', 'rock', 'street', |
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'valley', 'bridge'] |
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|
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test: |
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algo: "car" |
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ds_name: "coco" |
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seg_mode: "semantic" |
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data_root: "$YOUR_DATA_DIR" |
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|
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sam_mask_root: "$YOUR_SAM_MASK_DIR" |
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output_path: "./outputs/" |
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use_pseudo: True |
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split: "val" |
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n_class: 81 |
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num_chunks: 1 |
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chunk_index: 0 |
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|
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save_path: "./outputs" |
