Spaces:
Running
on
Zero
Running
on
Zero
File size: 1,311 Bytes
c62903f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
import os
from .clip_encoder import CLIPVisionTower, CLIPVisionTowerS2
from .siglip_encoder import SigLipVisionTower
# from .eva_clip.eva_clip_encoder import EvaClipVisionTower
# from .dev_eva_clip.eva_vit import EvaViTWrapper
def build_vision_tower(vision_tower_cfg, **kwargs):
vision_tower = getattr(
vision_tower_cfg,
"mm_vision_tower",
getattr(vision_tower_cfg, "vision_tower", None),
)
is_absolute_path_exists = os.path.exists(vision_tower)
use_s2 = getattr(vision_tower_cfg, "s2", False)
# if is_absolute_path_exists or vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower:
if (
vision_tower.startswith("openai")
or vision_tower.startswith("laion")
or "ShareGPT4V" in vision_tower
):
if use_s2:
return CLIPVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs)
else:
return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
elif (
"siglip" in vision_tower.lower()
or "open_clip_pytorch_model.bin" in vision_tower
):
return SigLipVisionTower(
vision_tower, vision_tower_cfg=vision_tower_cfg, **kwargs
)
raise ValueError(f"Unknown vision tower: {vision_tower}")
|