[Feature] Support auto import modules from registry.

docs/en/get_started/install.md

@@ -193,6 +193,6 @@ MMOCR has different version requirements on MMEngine, MMCV and MMDetection at ea
 
 | MMOCR          | MMEngine                    | MMCV                       | MMDetection                 |
 | -------------- | --------------------------- | -------------------------- | --------------------------- |
-| dev-1.x        | 0.5.0 \<= mmengine \< 1.0.0 | 2.0.0rc4 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
+| dev-1.x        | 0.5.0 \<= mmengine \< 1.0.0 | 2.0.0rc4 \<= mmcv \< 2.1.0 | 3.0.0rc5 \<= mmdet \< 3.1.0 |
 | 1.0.0rc\[4-5\] | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
 | 1.0.0rc\[0-3\] | 0.0.0 \<= mmengine \< 0.2.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |

docs/zh_cn/get_started/install.md

@@ -194,6 +194,6 @@ docker run --gpus all --shm-size=8g -it -v {实际数据目录}:/mmocr/data mmoc
 
 | MMOCR          | MMEngine                    | MMCV                       | MMDetection                 |
 | -------------- | --------------------------- | -------------------------- | --------------------------- |
-| dev-1.x        | 0.5.0 \<= mmengine \< 1.0.0 | 2.0.0rc4 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
+| dev-1.x        | 0.5.0 \<= mmengine \< 1.0.0 | 2.0.0rc4 \<= mmcv \< 2.1.0 | 3.0.0rc5 \<= mmdet \< 3.1.0 |
 | 1.0.0rc\[4-5\] | 0.1.0 \<= mmengine \< 1.0.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |
 | 1.0.0rc\[0-3\] | 0.0.0 \<= mmengine \< 0.2.0 | 2.0.0rc1 \<= mmcv \< 2.1.0 | 3.0.0rc0 \<= mmdet \< 3.1.0 |

mmocr/__init__.py

@@ -41,7 +41,7 @@
     f'Please install mmengine>={mmengine_minimum_version}, ' \
     f'<{mmengine_maximum_version}.'
 
-mmdet_minimum_version = '3.0.0rc0'
+mmdet_minimum_version = '3.0.0rc5'
 mmdet_maximum_version = '3.1.0'
 mmdet_version = digit_version(mmdet.__version__)
 

mmocr/apis/inferencers/base_mmocr_inferencer.py

@@ -7,10 +7,11 @@
 import numpy as np
 from mmengine.dataset import Compose
 from mmengine.infer.infer import BaseInferencer, ModelType
+from mmengine.registry import init_default_scope
 from mmengine.structures import InstanceData
 from torch import Tensor
 
-from mmocr.utils import ConfigType, register_all_modules
+from mmocr.utils import ConfigType
 
 InstanceList = List[InstanceData]
 InputType = Union[str, np.ndarray]
@@ -58,7 +59,7 @@ def __init__(self,
         # A global counter tracking the number of images processed, for
         # naming of the output images
         self.num_visualized_imgs = 0
-        register_all_modules()
+        init_default_scope(scope)
         super().__init__(
             model=model, weights=weights, device=device, scope=scope)
 

mmocr/registry.py

@@ -32,51 +32,103 @@
 from mmengine.registry import Registry
 
 # manage all kinds of runners like `EpochBasedRunner` and `IterBasedRunner`
-RUNNERS = Registry('runner', parent=MMENGINE_RUNNERS)
+RUNNERS = Registry(
+    'runner',
+    parent=MMENGINE_RUNNERS,
+    # TODO: update the location when mmocr has its own runner
+    locations=['mmocr.engine'])
 # manage runner constructors that define how to initialize runners
 RUNNER_CONSTRUCTORS = Registry(
-    'runner constructor', parent=MMENGINE_RUNNER_CONSTRUCTORS)
+    'runner constructor',
+    parent=MMENGINE_RUNNER_CONSTRUCTORS,
+    # TODO: update the location when mmocr has its own runner constructor
+    locations=['mmocr.engine'])
 # manage all kinds of loops like `EpochBasedTrainLoop`
-LOOPS = Registry('loop', parent=MMENGINE_LOOPS)
+LOOPS = Registry(
+    'loop',
+    parent=MMENGINE_LOOPS,
+    # TODO: update the location when mmocr has its own loop
+    locations=['mmocr.engine'])
 # manage all kinds of hooks like `CheckpointHook`
-HOOKS = Registry('hook', parent=MMENGINE_HOOKS)
+HOOKS = Registry(
+    'hook', parent=MMENGINE_HOOKS, locations=['mmocr.engine.hooks'])
 
 # manage data-related modules
-DATASETS = Registry('dataset', parent=MMENGINE_DATASETS)
-DATA_SAMPLERS = Registry('data sampler', parent=MMENGINE_DATA_SAMPLERS)
-TRANSFORMS = Registry('transform', parent=MMENGINE_TRANSFORMS)
+DATASETS = Registry(
+    'dataset', parent=MMENGINE_DATASETS, locations=['mmocr.datasets'])
+DATA_SAMPLERS = Registry(
+    'data sampler',
+    parent=MMENGINE_DATA_SAMPLERS,
+    locations=['mmocr.datasets.samplers'])
+TRANSFORMS = Registry(
+    'transform',
+    parent=MMENGINE_TRANSFORMS,
+    locations=['mmocr.datasets.transforms'])
 
 # manage all kinds of modules inheriting `nn.Module`
-MODELS = Registry('model', parent=MMENGINE_MODELS)
+MODELS = Registry('model', parent=MMENGINE_MODELS, locations=['mmocr.models'])
 # manage all kinds of model wrappers like 'MMDistributedDataParallel'
-MODEL_WRAPPERS = Registry('model_wrapper', parent=MMENGINE_MODEL_WRAPPERS)
+MODEL_WRAPPERS = Registry(
+    'model wrapper',
+    parent=MMENGINE_MODEL_WRAPPERS,
+    locations=['mmocr.models'])
 # manage all kinds of weight initialization modules like `Uniform`
 WEIGHT_INITIALIZERS = Registry(
-    'weight initializer', parent=MMENGINE_WEIGHT_INITIALIZERS)
+    'weight initializer',
+    parent=MMENGINE_WEIGHT_INITIALIZERS,
+    locations=['mmocr.models'])
 
 # manage all kinds of optimizers like `SGD` and `Adam`
-OPTIMIZERS = Registry('optimizer', parent=MMENGINE_OPTIMIZERS)
+OPTIMIZERS = Registry(
+    'optimizer',
+    parent=MMENGINE_OPTIMIZERS,
+    # TODO: update the location when mmocr has its own optimizer
+    locations=['mmocr.engine'])
 # manage optimizer wrapper
-OPTIM_WRAPPERS = Registry('optim wrapper', parent=MMENGINE_OPTIM_WRAPPERS)
+OPTIM_WRAPPERS = Registry(
+    'optimizer wrapper',
+    parent=MMENGINE_OPTIM_WRAPPERS,
+    # TODO: update the location when mmocr has its own optimizer wrapper
+    locations=['mmocr.engine'])
 # manage constructors that customize the optimization hyperparameters.
 OPTIM_WRAPPER_CONSTRUCTORS = Registry(
-    'optimizer constructor', parent=MMENGINE_OPTIM_WRAPPER_CONSTRUCTORS)
+    'optimizer constructor',
+    parent=MMENGINE_OPTIM_WRAPPER_CONSTRUCTORS,
+    # TODO: update the location when mmocr has its own optimizer constructor
+    locations=['mmocr.engine'])
 # manage all kinds of parameter schedulers like `MultiStepLR`
 PARAM_SCHEDULERS = Registry(
-    'parameter scheduler', parent=MMENGINE_PARAM_SCHEDULERS)
-
+    'parameter scheduler',
+    parent=MMENGINE_PARAM_SCHEDULERS,
+    # TODO: update the location when mmocr has its own parameter scheduler
+    locations=['mmocr.engine'])
 # manage all kinds of metrics
-METRICS = Registry('metric', parent=MMENGINE_METRICS)
+METRICS = Registry(
+    'metric', parent=MMENGINE_METRICS, locations=['mmocr.evaluation.metrics'])
 # manage evaluator
-EVALUATOR = Registry('evaluator', parent=MMENGINE_EVALUATOR)
+EVALUATOR = Registry(
+    'evaluator',
+    parent=MMENGINE_EVALUATOR,
+    locations=['mmocr.evaluation.evaluator'])
 
 # manage task-specific modules like anchor generators and box coders
-TASK_UTILS = Registry('task util', parent=MMENGINE_TASK_UTILS)
+TASK_UTILS = Registry(
+    'task util', parent=MMENGINE_TASK_UTILS, locations=['mmocr.models'])
 
 # manage visualizer
-VISUALIZERS = Registry('visualizer', parent=MMENGINE_VISUALIZERS)
+VISUALIZERS = Registry(
+    'visualizer',
+    parent=MMENGINE_VISUALIZERS,
+    locations=['mmocr.visualization'])
 # manage visualizer backend
-VISBACKENDS = Registry('vis_backend', parent=MMENGINE_VISBACKENDS)
+VISBACKENDS = Registry(
+    'visualizer backend',
+    parent=MMENGINE_VISBACKENDS,
+    locations=['mmocr.visualization'])
 
 # manage logprocessor
-LOG_PROCESSORS = Registry('log_processor', parent=MMENGINE_LOG_PROCESSORS)
+LOG_PROCESSORS = Registry(
+    'logger processor',
+    parent=MMENGINE_LOG_PROCESSORS,
+    # TODO: update the location when mmocr has its own log processor
+    locations=['mmocr.engine'])

requirements/mminstall.txt

@@ -1,3 +1,3 @@
-mmcv>==2.0.0rc1,<2.1.0
-mmdet>=3.0.0rc0,<3.1.0
-mmengine>= 0.1.0, <1.0.0
+mmcv>==2.0.0rc4,<2.1.0
+mmdet>=3.0.0rc5,<3.1.0
+mmengine>= 0.5.0, <1.0.0

tests/test_datasets/test_dataset_wrapper.py

@@ -4,9 +4,10 @@
 from unittest import TestCase
 from unittest.mock import MagicMock
 
+from mmengine.registry import init_default_scope
+
 from mmocr.datasets import ConcatDataset, OCRDataset
 from mmocr.registry import TRANSFORMS
-from mmocr.utils import register_all_modules
 
 
 class TestConcatDataset(TestCase):
@@ -22,7 +23,7 @@ def __call__(self, *args, **kwargs):
 
     def setUp(self):
 
-        register_all_modules()
+        init_default_scope('mmocr')
         dataset = OCRDataset
 
         # create dataset_a

tests/test_models/test_textdet/test_detectors/test_drrg.py

@@ -7,18 +7,19 @@
 import numpy as np
 import torch
 from mmengine.config import Config, ConfigDict
+from mmengine.registry import init_default_scope
 
 from mmocr.registry import MODELS
 from mmocr.testing.data import create_dummy_textdet_inputs
-from mmocr.utils import register_all_modules
 
 
 class TestDRRG(unittest.TestCase):
 
     def setUp(self):
         cfg_path = 'textdet/drrg/drrg_resnet50_fpn-unet_1200e_ctw1500.py'
         self.model_cfg = self._get_detector_cfg(cfg_path)
-        register_all_modules()
+        cfg = self._get_config_module(cfg_path)
+        init_default_scope(cfg.get('default_scope', 'mmocr'))
         self.model = MODELS.build(self.model_cfg)
         self.inputs = create_dummy_textdet_inputs(input_shape=(1, 3, 224, 224))
 

tests/test_models/test_textdet/test_wrappers/test_mmdet_wrapper.py

@@ -5,17 +5,17 @@
 from mmdet.structures import DetDataSample
 from mmdet.testing import demo_mm_inputs
 from mmengine.config import Config
+from mmengine.registry import init_default_scope
 from mmengine.structures import InstanceData
 
 from mmocr.registry import MODELS
 from mmocr.structures import TextDetDataSample
-from mmocr.utils import register_all_modules
 
 
 class TestMMDetWrapper(unittest.TestCase):
 
     def setUp(self):
-        register_all_modules()
+        init_default_scope('mmocr')
         model_cfg_fcos = dict(
             type='MMDetWrapper',
             cfg=dict(

tests/test_models/test_textrecog/test_backbones/test_resnet.py

@@ -2,16 +2,16 @@
 from unittest import TestCase
 
 import torch
+from mmengine.registry import init_default_scope
 
 from mmocr.models.textrecog.backbones import ResNet
-from mmocr.utils import register_all_modules
 
 
 class TestResNet(TestCase):
 
     def setUp(self) -> None:
         self.img = torch.rand(1, 3, 32, 100)
-        register_all_modules()
+        init_default_scope('mmocr')
 
     def test_resnet45_aster(self):
         resnet45_aster = ResNet(

tools/analysis_tools/browse_dataset.py

@@ -9,11 +9,11 @@
 import numpy as np
 from mmengine.config import Config, DictAction
 from mmengine.dataset import Compose
+from mmengine.registry import init_default_scope
 from mmengine.utils import ProgressBar
 from mmengine.visualization import Visualizer
 
 from mmocr.registry import DATASETS, VISUALIZERS
-from mmocr.utils import register_all_modules
 
 
 # TODO: Support for printing the change in key of results
@@ -331,8 +331,7 @@ def main():
     if args.cfg_options is not None:
         cfg.merge_from_dict(args.cfg_options)
 
-    # register all modules in mmyolo into the registries
-    register_all_modules()
+    init_default_scope(cfg.get('default_scope', 'mmocr'))
 
     dataset_cfg, visualizer_cfg = obtain_dataset_cfg(cfg, args.phase,
                                                      args.mode, args.task)

tools/analysis_tools/get_flops.py

@@ -4,11 +4,9 @@
 import torch
 from fvcore.nn import FlopCountAnalysis, flop_count_table
 from mmengine import Config
+from mmengine.registry import init_default_scope
 
 from mmocr.registry import MODELS
-from mmocr.utils import register_all_modules
-
-register_all_modules()
 
 
 def parse_args():
@@ -38,6 +36,7 @@ def main():
     input_shape = (1, 3, h, w)
 
     cfg = Config.fromfile(args.config)
+    init_default_scope(cfg.get('default_scope', 'mmocr'))
     model = MODELS.build(cfg.model)
 
     flops = FlopCountAnalysis(model, torch.ones(input_shape))

tools/analysis_tools/offline_eval.py

@@ -5,8 +5,7 @@
 import mmengine
 from mmengine.config import Config, DictAction
 from mmengine.evaluator import Evaluator
-
-from mmocr.utils import register_all_modules
+from mmengine.registry import init_default_scope
 
 
 def parse_args():
@@ -33,10 +32,9 @@ def parse_args():
 def main():
     args = parse_args()
 
-    register_all_modules()
-
     # load config
     cfg = Config.fromfile(args.config)
+    init_default_scope(cfg.get('default_scope', 'mmocr'))
     if args.cfg_options is not None:
         cfg.merge_from_dict(args.cfg_options)
 

tools/dataset_converters/prepare_dataset.py

@@ -4,7 +4,6 @@
 import warnings
 
 from mmocr.datasets.preparers import DatasetPreparer
-from mmocr.utils import register_all_modules
 
 
 def parse_args():
@@ -39,7 +38,6 @@ def parse_args():
 
 def main():
     args = parse_args()
-    register_all_modules()
     for dataset in args.datasets:
         if not osp.isdir(osp.join(args.dataset_zoo_path, dataset)):
             warnings.warn(f'{dataset} is not supported yet. Please check '

tools/test.py

@@ -7,8 +7,6 @@
 from mmengine.registry import RUNNERS
 from mmengine.runner import Runner
 
-from mmocr.utils import register_all_modules
-
 
 def parse_args():
     parser = argparse.ArgumentParser(description='Test (and eval) a model')
@@ -80,10 +78,6 @@ def trigger_visualization_hook(cfg, args):
 def main():
     args = parse_args()
 
-    # register all modules in mmocr into the registries
-    # do not init the default scope here because it will be init in the runner
-    register_all_modules(init_default_scope=False)
-
     # load config
     cfg = Config.fromfile(args.config)
     cfg.launcher = args.launcher

tools/train.py

@@ -9,8 +9,6 @@
 from mmengine.registry import RUNNERS
 from mmengine.runner import Runner
 
-from mmocr.utils import register_all_modules
-
 
 def parse_args():
     parser = argparse.ArgumentParser(description='Train a model')
@@ -54,10 +52,6 @@ def parse_args():
 def main():
     args = parse_args()
 
-    # register all modules in mmdet into the registries
-    # do not init the default scope here because it will be init in the runner
-    register_all_modules(init_default_scope=False)
-
     # load config
     cfg = Config.fromfile(args.config)
     cfg.launcher = args.launcher