[Bug] The model and loaded state dict do not match exactly from Quick Run guide

[yangcyself]

Hello, An error occurs when I installed the MMOCR following the instructions, and ran the command following Quick Run

conda create -n open-mmlab python=3.8 pytorch=1.10 cudatoolkit=11.3 torchvision -c pytorch -y
conda activate open-mmlab
pip3 install openmim
git clone https://github.com/open-mmlab/mmocr.git
cd mmocr
mim install -e .

python tools/infer.py demo/demo_text_ocr.jpg --det DBNet --rec CRNN  --print-result

The command line output is

Loads checkpoint by http backend from path: https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_resnet50-oclip_1200e_icdar2015/dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917-bde8c87a.pth
Downloading: "https://download.openmmlab.com/mmocr/textdet/dbnet/dbnet_resnet50-oclip_1200e_icdar2015/dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917-bde8c87a.pth" to /root/.cache/torch/hub/checkpoints/dbnet_resnet50-oclip_1200e_icdar2015_20221102_115917-bde8c87a.pth

11/08 05:24:46 - mmengine - WARNING - Failed to search registry with scope "mmocr" in the "function" registry tree. As a workaround, the current "function" registry in "mmengine" is used to build instance. This may cause unexpected failure when running the built modules. Please check whether "mmocr" is a correct scope, or whether the registry is initialized.
/root/miniconda3/envs/open-mmlab/lib/python3.8/site-packages/mmengine/visualization/visualizer.py:196: UserWarning: Failed to add <class 'mmengine.visualization.vis_backend.LocalVisBackend'>, please provide the `save_dir` argument.
  warnings.warn(f'Failed to add {vis_backend.__class__}, '
Loads checkpoint by http backend from path: https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth
Downloading: "https://download.openmmlab.com/mmocr/textrecog/crnn/crnn_mini-vgg_5e_mj/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth" to /root/.cache/torch/hub/checkpoints/crnn_mini-vgg_5e_mj_20220826_224120-8afbedbb.pth
The model and loaded state dict do not match exactly

unexpected key in source state_dict: data_preprocessor.mean, data_preprocessor.std

It feels like the model definition does not match the pretrained models. I'm wondering how can I fix it. I'm running the main-branch, b18a09b

Thanks in advance