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# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
# Modified by Feng Liang from
# https://github.com/MendelXu/zsseg.baseline/blob/master/mask_former/modeling/clip_adapter/text_prompt.py
# https://github.com/MendelXu/zsseg.baseline/blob/master/mask_former/modeling/clip_adapter/utils.py
from typing import List
import clip
import torch
from torch import nn
IMAGENET_PROMPT = [
"a bad photo of a {}.",
"a photo of many {}.",
"a sculpture of a {}.",
"a photo of the hard to see {}.",
"a low resolution photo of the {}.",
"a rendering of a {}.",
"graffiti of a {}.",
"a bad photo of the {}.",
"a cropped photo of the {}.",
"a tattoo of a {}.",
"the embroidered {}.",
"a photo of a hard to see {}.",
"a bright photo of a {}.",
"a photo of a clean {}.",
"a photo of a dirty {}.",
"a dark photo of the {}.",
"a drawing of a {}.",
"a photo of my {}.",
"the plastic {}.",
"a photo of the cool {}.",
"a close-up photo of a {}.",
"a black and white photo of the {}.",
"a painting of the {}.",
"a painting of a {}.",
"a pixelated photo of the {}.",
"a sculpture of the {}.",
"a bright photo of the {}.",
"a cropped photo of a {}.",
"a plastic {}.",
"a photo of the dirty {}.",
"a jpeg corrupted photo of a {}.",
"a blurry photo of the {}.",
"a photo of the {}.",
"a good photo of the {}.",
"a rendering of the {}.",
"a {} in a video game.",
"a photo of one {}.",
"a doodle of a {}.",
"a close-up photo of the {}.",
"a photo of a {}.",
"the origami {}.",
"the {} in a video game.",
"a sketch of a {}.",
"a doodle of the {}.",
"a origami {}.",
"a low resolution photo of a {}.",
"the toy {}.",
"a rendition of the {}.",
"a photo of the clean {}.",
"a photo of a large {}.",
"a rendition of a {}.",
"a photo of a nice {}.",
"a photo of a weird {}.",
"a blurry photo of a {}.",
"a cartoon {}.",
"art of a {}.",
"a sketch of the {}.",
"a embroidered {}.",
"a pixelated photo of a {}.",
"itap of the {}.",
"a jpeg corrupted photo of the {}.",
"a good photo of a {}.",
"a plushie {}.",
"a photo of the nice {}.",
"a photo of the small {}.",
"a photo of the weird {}.",
"the cartoon {}.",
"art of the {}.",
"a drawing of the {}.",
"a photo of the large {}.",
"a black and white photo of a {}.",
"the plushie {}.",
"a dark photo of a {}.",
"itap of a {}.",
"graffiti of the {}.",
"a toy {}.",
"itap of my {}.",
"a photo of a cool {}.",
"a photo of a small {}.",
"a tattoo of the {}.",
]
VILD_PROMPT = [
"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.",
]
class PromptExtractor(nn.Module):
def __init__(self):
super().__init__()
self._buffer_init = False
def init_buffer(self, clip_model):
self._buffer_init = True
def forward(self, noun_list: List[str], clip_model: nn.Module):
raise NotImplementedError()
class PredefinedPromptExtractor(PromptExtractor):
def __init__(self, templates: List[str]):
super().__init__()
self.templates = templates
def forward(self, noun_list: List[str], clip_model: nn.Module):
text_features_bucket = []
for template in self.templates:
noun_tokens = [clip.tokenize(template.format(noun)) for noun in noun_list]
text_inputs = torch.cat(noun_tokens).to(
clip_model.text_projection.data.device
)
text_features = clip_model.encode_text(text_inputs)
text_features /= text_features.norm(dim=-1, keepdim=True)
text_features_bucket.append(text_features)
del text_inputs
# ensemble by averaging
text_features = torch.stack(text_features_bucket).mean(dim=0)
text_features = text_features / text_features.norm(dim=-1, keepdim=True)
return text_features
class ImageNetPromptExtractor(PredefinedPromptExtractor):
def __init__(self):
super().__init__(IMAGENET_PROMPT)
class VILDPromptExtractor(PredefinedPromptExtractor):
def __init__(self):
super().__init__(VILD_PROMPT)
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