/
prompt_templates.py
47 lines (47 loc) · 1.38 KB
/
prompt_templates.py
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template_dict = {
'aid': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'eurosat': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'millionaid': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'fmow': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'patternnet': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'nwpu': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'SkyScript_cls': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
'rsicb256': [
lambda c: f'a satellite photo of {c}.',
lambda c: f'a satellite image of {c}',
],
# fine-grained classification
'roof_shape': [
lambda c: f'a satellite photo of building, {c}.',
lambda c: f'a satellite image of building, {c}',
],
'smoothness': [
lambda c: f'a satellite photo of road, {c}.',
lambda c: f'a satellite image of road, {c}',
],
'surface': [
lambda c: f'a satellite photo of road, {c}.',
lambda c: f'a satellite image of road, {c}',
],
}