usage: MobilenetV2 model in SAS disease screening · Pull Request !5460 · MindSpore/models

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**What type of PR is this?**
add new test

**What does this PR do / why do we need it**:
Expand the model's application scenarios.

**Which issue(s) this PR fixes**:

Fixes # https://gitee.com/mindspore/community/issues/I9W2U4#note_33615394

**Special notes for your reviewers**:

**CheckList**:

- [ ] I have added correct copyrights for every code file.
- [ ] I have removed all the redundant code and comments.
- [ ] I have updated or added the `requirements.txt` for the third-party libraries you need.
- [ ] I have made sure that I won't expose any personaly information such as local path with user name, local IP, etc.
- [ ] I have commented my code, particularly in hard-to-understand areas. All the comments in code files are in English.
- [ ] I have made corresponding changes to the documentation.
- [ ] I have squashed all the commits into one.
- [ ] I have test and ascertained the effect of my change in all related cases.
    - [ ] Different hardware: `CPU`, `GPU`, `Ascend910`, `Ascend310`, `Ascend310P`.
    - [ ] Different mode: `GRAPH_MODE`, `PYNATIVE_MODE`.
    - [ ] Different system: `Linux`, `Windows`, `MAC`.
    - [ ] Different number of cluster: `1pc`, `8pcs`.
- [ ] I have checked the following usual mistakes:
    - [ ] It is recommended to use `bash` instead of `sh`.
    - [ ] Don't use `type=bool` in argparse.
- [ ] If you are contributing a new model, please check:
    - [ ] I have added at least one `README`
    - [ ] The models implemented for the cloud could work offline on the local server as well.
    - [ ] I have made sure the changes for new device target will not make differences on the original one.
- [ ] If you are contributing a new function, please check:
    - [ ] I have added the corresponding information in README.
    - [ ] I have notify the maintenance team about this function.

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