| clip: | |
| semantic_clip_model_name: 'ViT-L/14' | |
| semantic_pretrained_data: 'openai' | |
| clip_model_name: "ViT-B/16" | |
| pretrained_data: 'openai' | |
| car: | |
| iom_thres: 0.5 | |
| mask_threshold: 0.6 | |
| stuff_mask_threshold: 0.6 | |
| min_area_ratio: 0.2 | |
| num_iteration: 1 | |
| confidence_threshold: 0.25 | |
| clipes_threshold: 0.4 | |
| bg_factor: 1 | |
| stuff_bg_factor: 1 | |
| has_pamr: False | |
| visual_prompt_type: ['blur', 'circle'] | |
| stuff_visual_prompt_type: ['blur', 'gray'] | |
| semantic_templates: ['a clean origami {}.', | |
| 'a photo of a {}.', | |
| 'This is a photo of a {}', | |
| 'There is a {} in the scene', | |
| 'There is the {} in the scene', | |
| 'a photo of a {} in the scene', | |
| 'a photo of a small {}.', | |
| 'a photo of a medium {}.', | |
| 'a photo of a large {}.', | |
| 'This is a photo of a small {}.', | |
| 'This is a photo of a medium {}.', | |
| 'This is a photo of a large {}.', | |
| 'There is a small {} in the scene.', | |
| 'There is a medium {} in the scene.', | |
| 'There is a large {} in the scene.'] | |
| bg_cls: ['ground', 'land', 'grass', 'tree', 'building', | |
| 'wall', 'sky', 'lake', 'water', 'river', 'sea', | |
| 'railway', 'railroad', 'helmet', 'cloud', 'house', | |
| 'mountain', 'ocean', 'road', 'rock', 'street', | |
| 'valley', 'bridge'] | |
| test: | |
| algo: "car" | |
| ds_name: "context" | |
| seg_mode: "semantic" | |
| n_class: 60 | |
| data_root: "$YOUR_DATA_DIR" | |
| output_path: "./outputs/" | |
| use_pseudo: True | |
| split: "val" | |
| num_chunks: 1 | |
| chunk_index: 0 | |
| ignore_background: False | |
| save_path: "./outputs" |