Ma Zerun 6847d20d57
[Feature] Support multiple multi-modal algorithms and inferencers. (#1561)
* [Feat] Migrate blip caption to mmpretrain. (#50)

* Migrate blip caption to mmpretrain

* minor fix

* support train

* [Feature] Support OFA caption task. (#51)

* [Feature] Support OFA caption task.

* Remove duplicated files.

* [Feature] Support OFA vqa task. (#58)

* [Feature] Support OFA vqa task.

* Fix lint.

* [Feat] Add BLIP retrieval to mmpretrain. (#55)

* init

* minor fix for train

* fix according to comments

* refactor

* Update Blip retrieval. (#62)

* [Feature] Support OFA visual grounding task. (#59)

* [Feature] Support OFA visual grounding task.

* minor add TODO

---------

Co-authored-by: yingfhu <yingfhu@gmail.com>

* [Feat] Add flamingos coco caption and vqa. (#60)

* first init

* init flamingo coco

* add vqa

* minor fix

* remove unnecessary modules

* Update config

* Use `ApplyToList`.

---------

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Feature]: BLIP2 coco retrieval  (#53)

* [Feature]: Add blip2 retriever

* [Feature]: Add blip2 all modules

* [Feature]: Refine model

* [Feature]: x1

* [Feature]: Runnable coco ret

* [Feature]: Runnable version

* [Feature]: Fix lint

* [Fix]: Fix lint

* [Feature]: Use 364 img size

* [Feature]: Refactor blip2

* [Fix]: Fix lint

* refactor files

* minor fix

* minor fix

---------

Co-authored-by: yingfhu <yingfhu@gmail.com>

* Remove

* fix blip caption inputs (#68)

* [Feat] Add BLIP NLVR support. (#67)

* first init

* init flamingo coco

* add vqa

* add nlvr

* refactor nlvr

* minor fix

* minor fix

* Update dataset

---------

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Feature]: BLIP2 Caption (#70)

* [Feature]: Add language model

* [Feature]: blip2 caption forward

* [Feature]: Reproduce the results

* [Feature]: Refactor caption

* refine config

---------

Co-authored-by: yingfhu <yingfhu@gmail.com>

* [Feat] Migrate BLIP VQA to mmpretrain (#69)

* reformat

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* change

* refactor code

---------

Co-authored-by: yingfhu <yingfhu@gmail.com>

* Update RefCOCO dataset

* [Fix] fix lint

* [Feature] Implement inference APIs for multi-modal tasks. (#65)

* [Feature] Implement inference APIs for multi-modal tasks.

* [Project] Add gradio demo.

* [Improve] Update requirements

* Update flamingo

* Update blip

* Add NLVR inferencer

* Update flamingo

* Update hugging face model register

* Update ofa vqa

* Update BLIP-vqa (#71)

* Update blip-vqa docstring (#72)

* Refine flamingo docstring (#73)

* [Feature]: BLIP2 VQA (#61)

* [Feature]: VQA forward

* [Feature]: Reproduce accuracy

* [Fix]: Fix lint

* [Fix]: Add blank line

* minor fix

---------

Co-authored-by: yingfhu <yingfhu@gmail.com>

* [Feature]: BLIP2 docstring (#74)

* [Feature]: Add caption docstring

* [Feature]: Add docstring to blip2 vqa

* [Feature]: Add docstring to retrieval

* Update BLIP-2 metafile and README (#75)

* [Feature]: Add readme and docstring

* Update blip2 results

---------

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Feature] BLIP Visual Grounding on MMPretrain Branch (#66)

* blip grounding merge with mmpretrain

* remove commit

* blip grounding test and inference api

* refcoco dataset

* refcoco dataset refine config

* rebasing

* gitignore

* rebasing

* minor edit

* minor edit

* Update blip-vqa docstring (#72)

* rebasing

* Revert "minor edit"

This reverts commit 639cec757c215e654625ed0979319e60f0be9044.

* blip grounding final

* precommit

* refine config

* refine config

* Update blip visual grounding

---------

Co-authored-by: Yiqin Wang 王逸钦 <wyq1217@outlook.com>
Co-authored-by: mzr1996 <mzr1996@163.com>

* Update visual grounding metric

* Update OFA docstring, README and metafiles. (#76)

* [Docs] Update installation docs and gradio demo docs. (#77)

* Update OFA name

* Update Visual Grounding Visualizer

* Integrate accelerate support

* Fix imports.

* Fix timm backbone

* Update imports

* Update README

* Update circle ci

* Update flamingo config

* Add gradio demo README

* [Feature]: Add scienceqa (#1571)

* [Feature]: Add scienceqa

* [Feature]: Change param name

* Update docs

* Update video

---------

Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: yingfhu <yingfhu@gmail.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Yiqin Wang 王逸钦 <wyq1217@outlook.com>
Co-authored-by: Rongjie Li <limo97@163.com>
2023-05-19 16:50:04 +08:00

83 lines
2.3 KiB
Python

# Copyright (c) OpenMMLab. All rights reserved.
import re
from functools import wraps
from inspect import isfunction
from importlib_metadata import PackageNotFoundError, distribution
from mmengine.utils import digit_version
def satisfy_requirement(dep):
pat = '(' + '|'.join(['>=', '==', '>']) + ')'
parts = re.split(pat, dep, maxsplit=1)
parts = [p.strip() for p in parts]
package = parts[0]
if len(parts) > 1:
op, version = parts[1:]
op = {
'>=': '__ge__',
'==': '__eq__',
'>': '__gt__',
'<': '__lt__',
'<=': '__le__'
}[op]
else:
op, version = None, None
try:
dist = distribution(package)
if op is None or getattr(digit_version(dist.version), op)(
digit_version(version)):
return True
except PackageNotFoundError:
pass
return False
def require(dep, install=None):
"""A wrapper of function for extra package requirements.
Args:
dep (str): The dependency package name, like ``transformers``
or ``transformers>=4.28.0``.
install (str, optional): The installation command hint. Defaults
to None, which means to use "pip install dep".
"""
def wrapper(fn):
assert isfunction(fn)
@wraps(fn)
def ask_install(*args, **kwargs):
name = fn.__qualname__.replace('.__init__', '')
ins = install or f'pip install "{dep}"'
raise ImportError(
f'{name} requires {dep}, please install it by `{ins}`.')
if satisfy_requirement(dep):
fn._verify_require = getattr(fn, '_verify_require', lambda: None)
return fn
ask_install._verify_require = ask_install
return ask_install
return wrapper
WITH_MULTIMODAL = all(
satisfy_requirement(item)
for item in ['pycocotools', 'transformers>=4.28.0'])
def register_multimodal_placeholder(names, registry):
for name in names:
def ask_install(*args, **kwargs):
raise ImportError(
f'{name} requires extra multi-modal dependencies, please '
'install it by `pip install "mmpretrain[multimodal]"` '
'or `pip install -e ".[multimodal]"`.')
registry.register_module(name=name, module=ask_install)