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from opencompass.multimodal.models.instructblip import ( |
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InstructBlipCOCOCaotionPromptConstructor, |
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InstructBlipCOCOCaptionPostProcessor, |
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) |
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val_pipeline = [ |
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dict(type='mmpretrain.LoadImageFromFile'), |
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dict(type='mmpretrain.ToPIL', to_rgb=True), |
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dict(type='mmpretrain.torchvision/Resize', |
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size=(384, 384), |
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interpolation=3), |
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dict(type='mmpretrain.torchvision/ToTensor'), |
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dict(type='mmpretrain.torchvision/Normalize', |
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mean=(0.48145466, 0.4578275, 0.40821073), |
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std=(0.26862954, 0.26130258, 0.27577711)), |
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dict(type='mmpretrain.PackInputs', algorithm_keys=['image_id']) |
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] |
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dataset = dict(type='mmpretrain.Flickr30kCaption', |
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data_root='data/flickr30k', |
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ann_file='annotations/dataset_flickr30k.json', |
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data_prefix='images', |
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split='val', |
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pipeline=val_pipeline) |
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instruct_blip_flickr30k_dataloader = dict( |
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batch_size=1, |
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num_workers=4, |
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dataset=dataset, |
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collate_fn=dict(type='pseudo_collate'), |
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sampler=dict(type='DefaultSampler', shuffle=False)) |
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instruct_blip_flickr30k_model = dict( |
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type='blip2-vicuna-instruct', |
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prompt_constructor=dict(type=InstructBlipCOCOCaotionPromptConstructor), |
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post_processor=dict(type=InstructBlipCOCOCaptionPostProcessor), |
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freeze_vit=True, |
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low_resource=False, |
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llm_model='/path/to/vicuna-7b/', |
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img_size=384, |
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is_caption_task=True, |
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) |
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instruct_blip_flickr30k_evaluator = [ |
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dict( |
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type='mmpretrain.COCOCaption', |
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ann_file='data/flickr30k/annotations/flickr30k_val_gt.json', |
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) |
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] |
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instruct_blip_load_from = '/path/to/instruct_blip_vicuna7b_trimmed.pth' |
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