64 lines
2.4 KiB
Python
64 lines
2.4 KiB
Python
|
from opencompass.multimodal.models.minigpt_4 import MiniGPT4SEEDBenchPromptConstructor # noqa
|
||
|
|
|
||
|
|
# dataloader settings
|
||
|
|
image_pipeline = [
|
||
|
|
dict(type='mmpretrain.torchvision/Resize',
|
||
|
|
size=(224, 224),
|
||
|
|
interpolation=3),
|
||
|
|
dict(type='mmpretrain.torchvision/ToTensor'),
|
||
|
|
dict(type='mmpretrain.torchvision/Normalize',
|
||
|
|
mean=(0.48145466, 0.4578275, 0.40821073),
|
||
|
|
std=(0.26862954, 0.26130258, 0.27577711)),
|
||
|
|
dict(type='mmpretrain.PackInputs',
|
||
|
|
algorithm_keys=[
|
||
|
|
'question', 'answer', 'choices', 'data_type', 'question_type_id',
|
||
|
|
'index', 'data_path', 'question_id'
|
||
|
|
])
|
||
|
|
]
|
||
|
|
video_pipeline = [
|
||
|
|
dict(type='mmaction.Resize', scale=(224, 224), interpolation='bicubic'),
|
||
|
|
dict(type='mmaction.CenterCrop', crop_size=224),
|
||
|
|
dict(type='Normalize',
|
||
|
|
mean=(0.48145466, 0.4578275, 0.40821073),
|
||
|
|
std=(0.26862954, 0.26130258, 0.27577711)),
|
||
|
|
dict(type='mmpretrain.PackInputs',
|
||
|
|
algorithm_keys=[
|
||
|
|
'question', 'answer', 'choices', 'data_type', 'question_type_id',
|
||
|
|
'index', 'data_path', 'question_id'
|
||
|
|
])
|
||
|
|
]
|
||
|
|
|
||
|
|
dataset = dict(
|
||
|
|
type='opencompass.SEEDBenchDataset',
|
||
|
|
ann_file='data/seedbench/SEED-Bench.json',
|
||
|
|
cc3m_path='data/seedbench/SEED-Bench-image',
|
||
|
|
sthv2_path='data/seedbench/sthv2/videos',
|
||
|
|
epic_kitchens_path='data/seedbench/3h91syskeag572hl6tvuovwv4d/videos/test',
|
||
|
|
breakfast_path='data/seedbench/BreakfastII_15fps_qvga_sync',
|
||
|
|
image_pipeline=image_pipeline,
|
||
|
|
video_pipeline=video_pipeline,
|
||
|
|
only_image=True)
|
||
|
|
|
||
|
|
minigpt_4_seedbench_dataloader = dict(batch_size=1,
|
||
|
|
num_workers=4,
|
||
|
|
dataset=dataset,
|
||
|
|
collate_fn=dict(type='pseudo_collate'),
|
||
|
|
sampler=dict(type='DefaultSampler',
|
||
|
|
shuffle=False))
|
||
|
|
|
||
|
|
# model settings
|
||
|
|
minigpt_4_seedbench_model = dict(
|
||
|
|
type='minigpt-4',
|
||
|
|
low_resource=False,
|
||
|
|
llama_model='/path/to/vicuna/',
|
||
|
|
prompt_constructor=dict(type=MiniGPT4SEEDBenchPromptConstructor,
|
||
|
|
image_prompt='###Human: <Img><ImageHere></Img>',
|
||
|
|
reply_prompt='###Assistant:'),
|
||
|
|
post_processor=None,
|
||
|
|
mode='loss')
|
||
|
|
|
||
|
|
# evaluation settings
|
||
|
|
minigpt_4_seedbench_evaluator = [dict(type='opencompass.SEEDBenchAcc')]
|
||
|
|
|
||
|
|
minigpt_4_load_from = '/path/to/prerained_minigpt4_7b.pth'
|