Welcome update to OpenMMLab 2.0

I am Vansin, the technical operator of OpenMMLab. In September of last year, we announced the release of OpenMMLab 2.0 at the World Artificial Intelligence Conference in Shanghai. We invite you to upgrade your algorithm library to OpenMMLab 2.0 using MMEngine, which can be used for both research and commercial purposes. If you have any questions, please feel free to join us on the OpenMMLab Discord at https://discord.gg/amFNsyUBvm or add me on WeChat (van-sin) and I will invite you to the OpenMMLab WeChat group.

Here are the OpenMMLab 2.0 repos branches:

Attention: please create a new virtual environment for OpenMMLab 2.0.

Description

As for the testing commands, the tools/test.py will fail if we only specify the config-file and the path-to-checkpoint. After examining the source codes of the tools/tests.py, I observed at least one of the “out” or “metrics” options should be declared.

Suggested Solution

Thus, I modified the testing command as follows:
“`sh
python tools/test.py configs/vision_transformer/vit_base_patch16_224_flowers.py work_dirs/vit_base_patch16_224_flowers/latest.pth --metrics accuracy precision recall f1_score

I am not sure whether the execution result of my modification satisfies the design purpose of this section in the tutorial. Therefore, I would appreciate it if you could further review this command. Below are the outputs of my command:
![image](https://user-images.githubusercontent.com/43565614/156287244-d4cb2360-39ab-427d-8582-041f349ccce7.png)

Description

In the tutorial notebook, section “Configuration”, a subsection is named “AutoAugmentation.” However, it seems unclear where these configurations should be placed.

Suggested solution

After analyzing the repository structure, I believed this should be a part of the configs/vision_transformer/vit_base_patch16_224_flowers.py file. In the codes you provided for our project group to develop our project, we found such configuration did appear there. We thought it might be more instructive and clear if the notebook could directly indicate the AutoAugmentation part of the vision transformer’s running configuration.

Description

In the “Set saving config” subsection, we noticed there is an instruction:

However, the path here: mmclassification/configs/resnet/resnet18_flowers_bs128.py is seemingly a bit misleading.

Suggested Solution

In our opinion, the config file ought to be configs/vision_transformer/vit_base_patch16_224_flowers.py, instead. Otherwise, the path and the naming of the configuration file may not coordinate with the training command

python tools/train.py configs/vision_transformer/vit_base_patch16_224_flowers.py