mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
44 lines
1.5 KiB
Python
44 lines
1.5 KiB
Python
|
from opencompass.multimodal.models.visualglm import (VisualGLMVSRPostProcessor, VisualGLMVQAPromptConstructor)
|
||
|
|
|
||
|
|
# dataloader settings
|
||
|
|
val_pipeline = [
|
||
|
|
dict(type='mmpretrain.LoadImageFromFile'),
|
||
|
|
dict(type='mmpretrain.ToPIL', to_rgb=True),
|
||
|
|
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', 'gt_answer', 'gt_answer_weight'],
|
||
|
|
meta_keys=['question_id', 'image_id'],
|
||
|
|
)
|
||
|
|
]
|
||
|
|
|
||
|
|
|
||
|
|
dataset = dict(type='mmpretrain.VSR',
|
||
|
|
data_root='data/vsr/',
|
||
|
|
data_prefix='images/',
|
||
|
|
ann_file='annotations/test.json',
|
||
|
|
pipeline=val_pipeline)
|
||
|
|
|
||
|
|
visualglm_vsr_dataloader = dict(batch_size=1,
|
||
|
|
num_workers=4,
|
||
|
|
dataset=dataset,
|
||
|
|
collate_fn=dict(type='pseudo_collate'),
|
||
|
|
sampler=dict(type='DefaultSampler', shuffle=False))
|
||
|
|
|
||
|
|
# model settings
|
||
|
|
visualglm_model = dict(
|
||
|
|
type='visualglm',
|
||
|
|
pretrained_path='/path/to/visualglm', # or Huggingface repo id
|
||
|
|
prompt_constructor=dict(type=VisualGLMVQAPromptConstructor),
|
||
|
|
post_processor=dict(type=VisualGLMVSRPostProcessor)
|
||
|
|
)
|
||
|
|
|
||
|
|
# evaluation settings
|
||
|
|
visualglm_vsr_evaluator = [dict(type='mmpretrain.GQAAcc')]
|