* [Refactor] Use MMOCR's registry
1. Define MMOCR's registries as a child of MMDet's
2. Register all models to MMOCR's own registries
3. Modify some model configs so that some models in MMDet can be
correctly located
4. Remove some outdated demo scripts
* add detectors
* support batch inference during testing
* fix unittest
* update docs using url
* set cfg for train, val and test
* update docs
* update docs and test.py
* samples_per_gpu as global setting
* changes revert
* Add support for numpy arrays in model_inference
* Add test for numpy ndarray inference
* Fix linting problems
* Add support for batch inference
* Add batch inference demo script
* Fix comment
* Test batch inference with paths and arrays
* lint code
* Update model_inference docstring
* Refactor model inference tests
* Change inference function to make text detectors and recognizers use the same input data types
* Change single state text detector model to support batch inference
* Lint code
* simplify inference tests
* Remove psenet from batch inference test cases to prevent the pytest being killed
* Update batch_image_demo.py
* fix bug when test with dataset
fix bug when test with dataset, for example, `./tools/dist_test.sh configs/textrecog/sar/sar_r31_parallel_decoder_academic.py <checkpoint> 1 --eval acc`
Co-authored-by: Hongbin Sun <hongbin306@gmail.com>
* Add support for numpy arrays in model_inference
* Add test for numpy ndarray inference
* Fix linting problems
* Simplify assertion in model_inference
