MMRotate-Dev中的RetinaNet训练过程中的包导入问题

错误如下：

File "<frozen importlib._bootstrap>", line 1014, in _gcd_import
File "<frozen importlib._bootstrap>", line 991, in _find_and_load
File "<frozen importlib._bootstrap>", line 973, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'torchvision.models.video.io'

debug调试发现问题出现在mmengine中的包导入，函数位于mmengine.runner.checkpoint.

def get_torchvision_models():
    import torchvision
    if digit_version(torchvision.__version__) < digit_version('0.13.0a0'):
        model_urls = dict()
        # When the version of torchvision is lower than 0.13, the model url is
        # not declared in `torchvision.model.__init__.py`, so we need to
        # iterate through `torchvision.models.__path__` to get the url for each
        # model.
        for _, name, ispkg in pkgutil.walk_packages(
                torchvision.models.__path__):
            if ispkg:
                continue
            # if 'video' in name:
            #     continue
            _zoo = import_module(f'torchvision.models.{name}')
            if hasattr(_zoo, 'model_urls'):
                _urls = getattr(_zoo, 'model_urls')
                model_urls.update(_urls)

调试后发现torch.models.video中并无io文件。解决办法如下;

添加代码，过滤掉video中的无效导入包。