Refactor tinynas model & pipeline:
1. Move preprocess method out of model to image.py
2. Pipeline calls the model.__call__ method instead of inference method
3. Remove some obsolete code
4. Add a default preprocessor to preprocessor.py instead of change config in modelhub.
5. Standardize the return value of model
Refactor general image classification pipeline:
1. Change the preprocessor build method of ofa to avoid dependencies between multi-modal and cv.
2. Move preprocess method out of pipeline to image.py
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/11185418
*Add image-classification-imagenet and image-classification-dailylife pipelines
*Add models.cv.mmcls_model.ClassificaitonModel as a wrapper class for mmcls
