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# This file is modified from https://github.com/haotian-liu/LLaVA/
import os
from .clip_encoder import CLIPVisionTower, SiglipVisionTower
from copy import deepcopy
from .convnext_encoder import ConvNextVisionTower
def build_vision_tower(vision_tower_cfg, **kwargs):
vision_tower = getattr(vision_tower_cfg, 'mm_vision_tower', getattr(vision_tower_cfg, 'vision_tower', None))
if "clip" in vision_tower and vision_tower.startswith("openai"):
is_absolute_path_exists = os.path.exists(vision_tower)
if is_absolute_path_exists or vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower:
return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
raise ValueError(f'Unknown vision tower: {vision_tower}')
elif "siglip" in vision_tower:
vision_tower_cfg.input_image_size = 384
return SiglipVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
elif vision_tower == "convnext-576":
## ConvNeXt
convnext_args = deepcopy(vision_tower_cfg)
convnext_args.freeze_vision = False
convnext_args.input_image_size = 576
convnext_vision_tower = "convnext_xxlarge.clip_laion2b_soup" # hardcode
return ConvNextVisionTower(convnext_vision_tower, convnext_args)
raise ValueError(f'Unknown vision tower: {vision_tower}')
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