mirror of https://github.com/open-mmlab/mmocr.git
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
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_base_ = [
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'_base_psenet_resnet50_fpnf.py',
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'../../_base_/det_datasets/ctw1500.py',
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'../../_base_/textdet_default_runtime.py',
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'../../_base_/schedules/schedule_adam_step_600e.py',
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]
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# dataset settings
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ctw_det_train = _base_.ctw_det_train
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ctw_det_test = _base_.ctw_det_test
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test_pipeline_ctw = [
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dict(
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type='LoadImageFromFile',
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file_client_args=_base_.file_client_args,
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color_type='color_ignore_orientation'),
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dict(type='Resize', scale=(1280, 1280), keep_ratio=True),
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dict(
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type='LoadOCRAnnotations',
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with_polygon=True,
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with_bbox=True,
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with_label=True),
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dict(
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type='PackTextDetInputs',
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meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor'))
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]
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# pipeline settings
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ctw_det_train.pipeline = _base_.train_pipeline
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ctw_det_test.pipeline = test_pipeline_ctw
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train_dataloader = dict(
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batch_size=16,
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num_workers=8,
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persistent_workers=False,
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sampler=dict(type='DefaultSampler', shuffle=True),
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dataset=ctw_det_train)
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val_dataloader = dict(
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batch_size=1,
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num_workers=1,
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persistent_workers=False,
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sampler=dict(type='DefaultSampler', shuffle=False),
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dataset=ctw_det_test)
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test_dataloader = val_dataloader
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