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image_path: "demo/pokemon1.jpg"
image_caption: ['Charmander', 'Bulbasaur', 'Squirtle']
clip:
semantic_clip_model_name: 'ViT-L/14'
semantic_pretrained_data: 'openai'
clip_model_name: 'ViT-B/16'
pretrained_data: 'openai'
car:
iom_thres: 0.6
mask_threshold: 0.5
confidence_threshold: 0 # 0.2
clipes_threshold: 0.6
visual_prompt_type: ['gray', 'blur']
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']
sam:
model_dir: "/homes/53/kevinsun/google-research/clip_as_rnn"
sam_checkpoint: "./sam_hq_vit_h.pth"
model_type: "vit_h"
min_pred_threshold: 0.01
points_per_side: 64
pred_iou_thresh: 0.88
stability_score_thresh: 0.95
box_nms_thresh: 0.7
test:
confidence_threshold: 0.7
algo: "maskcut"
ds_name: "voc"
seg_mode: "semantic"
split: 'val'
output_path: "./outputs/"
use_pseudo: False
# use_iterative: False
num_iteration: 1
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