repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_panhead.py | tests/test_models/test_panhead.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import mmocr.models.textdet.dense_heads.pan_head as pan_head
def test_panhead():
in_channels = [128]
out_channels = 128
text_repr_type = 'poly' # 'poly' or 'quad'
downsample_ratio = 0.25
loss = dict(type='PANLoss')
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_textdet_head.py | tests/test_models/test_textdet_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmocr.models.textdet.dense_heads import DRRGHead
def test_drrg_head():
in_channels = 10
drrg_head = DRRGHead(in_channels)
assert drrg_head.in_channels == in_channels
assert drrg_head.k_at_hops == (8, 4)
assert dr... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_targets.py | tests/test_models/test_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmocr.datasets.pipelines.textdet_targets.dbnet_targets import DBNetTargets
def test_invalid_polys():
dbtarget = DBNetTargets()
poly = np.array([[256.1229216, 347.17471155], [257.63126133, 347.0069367],
[257.7031772... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_layer.py | tests/test_models/test_ocr_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmocr.models.common import (PositionalEncoding, TFDecoderLayer,
TFEncoderLayer)
from mmocr.models.textrecog.layers import BasicBlock, Bottleneck
from mmocr.models.textrecog.layers.conv_layer import conv3x3
def test_con... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ner_model.py | tests/test_models/test_ner_model.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os.path as osp
import tempfile
import pytest
import torch
from mmocr.models import build_detector
def _create_dummy_vocab_file(vocab_file):
with open(vocab_file, 'w') as fw:
for char in list(map(chr, range(ord('a'), ord('z') + 1))):
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_neck.py | tests/test_models/test_ocr_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmocr.models.textrecog.necks import FPNOCR
def test_fpn_ocr():
in_s1 = torch.rand(1, 128, 32, 256)
in_s2 = torch.rand(1, 256, 16, 128)
in_s3 = torch.rand(1, 512, 8, 64)
in_s4 = torch.rand(1, 512, 4, 32)
fpn_ocr = FPNOCR(in_channel... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_recognizer.py | tests/test_models/test_recognizer.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
from functools import partial
import numpy as np
import pytest
import torch
from mmdet.core import BitmapMasks
from mmocr.models.textrecog.recognizer import (EncodeDecodeRecognizer,
Seg... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_loss.py | tests/test_models/test_ocr_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmocr.models.common.losses import DiceLoss
from mmocr.models.textrecog.losses import (ABILoss, CELoss, CTCLoss, SARLoss,
TFLoss)
def test_ctc_loss():
with pytest.raises(AssertionError):
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_backbone.py | tests/test_models/test_ocr_backbone.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmocr.models.textrecog.backbones import (ResNet, ResNet31OCR, ResNetABI,
ShallowCNN, VeryDeepVgg)
def test_resnet31_ocr_backbone():
"""Test resnet backbone."""
with pytest.raises(Asse... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_kie_config.py | tests/test_models/test_kie_config.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from os.path import dirname, exists, join
import numpy as np
import pytest
import torch
def _demo_mm_inputs(num_kernels=0, input_shape=(1, 3, 300, 300),
num_items=None): # yapf: disable
"""Create a superset of inputs needed to run t... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_detector.py | tests/test_models/test_detector.py | # Copyright (c) OpenMMLab. All rights reserved.
"""pytest tests/test_detector.py."""
import copy
import tempfile
from functools import partial
from os.path import dirname, exists, join
import numpy as np
import pytest
import torch
from mmocr.utils import revert_sync_batchnorm
def _demo_mm_inputs(num_kernels=0, inpu... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_label_convertor/test_attn_label_convertor.py | tests/test_models/test_label_convertor/test_attn_label_convertor.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import numpy as np
import pytest
import torch
from mmocr.models.textrecog.convertors import ABIConvertor, AttnConvertor
def _create_dummy_dict_file(dict_file):
characters = list('helowrd')
with open(dict_file, 'w') as fw:
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_label_convertor/test_ctc_label_convertor.py | tests/test_models/test_label_convertor/test_ctc_label_convertor.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import numpy as np
import pytest
import torch
from mmocr.models.textrecog.convertors import CTCConvertor
def _create_dummy_dict_file(dict_file):
chars = list('helowrd')
with open(dict_file, 'w') as fw:
for char in ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_label_convertor/test_base_label_convertor.py | tests/test_models/test_label_convertor/test_base_label_convertor.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import pytest
from mmocr.models.textrecog.convertors import BaseConvertor
def test_base_label_convertor():
with pytest.raises(NotImplementedError):
label_convertor = BaseConvertor()
label_convertor.str2tensor(N... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_apis/test_single_gpu_test.py | tests/test_apis/test_single_gpu_test.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import json
import os
import os.path as osp
import tempfile
import mmcv
import numpy as np
import pytest
import torch
from mmcv import Config
from mmcv.parallel import MMDataParallel
from mmocr.apis.test import single_gpu_test
from mmocr.datasets import buil... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_apis/test_utils.py | tests/test_apis/test_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import os
import pytest
from mmcv import Config
from mmocr.apis.utils import (disable_text_recog_aug_test,
replace_image_to_tensor)
@pytest.mark.parametrize('cfg_file', [
'../configs/textrecog/sar/sar_r31_parallel_decoder_... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_apis/test_image_misc.py | tests/test_apis/test_image_misc.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import torch
from numpy.testing import assert_array_equal
from mmocr.apis.utils import tensor2grayimgs
@pytest.mark.skipif(not torch.cuda.is_available(), reason='requires cuda')
def test_tensor2grayimgs():
# test tensor obj
wit... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_apis/test_model_inference.py | tests/test_apis/test_model_inference.py | # Copyright (c) OpenMMLab. All rights reserved.
import os
import platform
import pytest
from mmcv.image import imread
from mmocr.apis.inference import init_detector, model_inference
from mmocr.datasets import build_dataset # noqa: F401
from mmocr.models import build_detector # noqa: F401
from mmocr.utils import rev... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_check_argument.py | tests/test_utils/test_check_argument.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import mmocr.utils as utils
def test_is_3dlist():
assert utils.is_3dlist([])
assert utils.is_3dlist([[]])
assert utils.is_3dlist([[[]]])
assert utils.is_3dlist([[[1]]])
assert not utils.is_3dlist([[1, 2]])
assert not utils.is... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_setup_env.py | tests/test_utils/test_setup_env.py | # Copyright (c) OpenMMLab. All rights reserved.
import multiprocessing as mp
import os
import platform
import cv2
from mmcv import Config
from mmocr.utils import setup_multi_processes
def test_setup_multi_processes():
# temp save system setting
sys_start_mehod = mp.get_start_method(allow_none=True)
sys_... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_model.py | tests/test_utils/test_model.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmcv.cnn.bricks import ConvModule
from mmocr.utils import revert_sync_batchnorm
def test_revert_sync_batchnorm():
conv_syncbn = ConvModule(3, 8, 2, norm_cfg=dict(type='SyncBN')).to('cpu')
conv_syncbn.train()
x = torch.randn(1... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_wrapper.py | tests/test_utils/test_wrapper.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
import torch
from mmocr.models.textdet.postprocess import (DBPostprocessor,
FCEPostprocessor,
TextSnakePostprocessor)
from mmocr.models.textdet.po... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_textio.py | tests/test_utils/test_textio.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import tempfile
from mmocr.utils import list_from_file, list_to_file
lists = [
[],
[' '],
['\t'],
['a'],
[1],
[1.],
['a', 'b'],
['a', 1, 1.],
[1, 1., 'a'],
['啊', '啊啊'],
['選択', 'noël', 'Информацией', 'ÄÆä'],
]
dict... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_box.py | tests/test_utils/test_box.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
from mmocr.utils import (bezier_to_polygon, is_on_same_line, sort_points,
stitch_boxes_into_lines)
def test_box_on_line():
# regular boxes
box1 = [0, 0, 1, 0, 1, 1, 0, 1]
box2 = [2, 0.5, 3, 0.5, 3, 1... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_string_util.py | tests/test_utils/test_string_util.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
from mmocr.utils import StringStrip
def test_string_strip():
strip_list = [True, False]
strip_pos_list = ['both', 'left', 'right']
strip_str_list = [None, ' ']
in_str_list = [
' hello ', 'hello ', ' hello', ' hello', 'hello ', 'he... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_version_utils.py | tests/test_utils/test_version_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr import digit_version
def test_digit_version():
assert digit_version('0.2.16') == (0, 2, 16, 0, 0, 0)
assert digit_version('1.2.3') == (1, 2, 3, 0, 0, 0)
assert digit_version('1.2.3rc0') == (1, 2, 3, 0, -1, 0)
assert digit_version('1.2.3rc1') =... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_ocr.py | tests/test_utils/test_ocr.py | # Copyright (c) OpenMMLab. All rights reserved.
import io
import json
import os
import platform
import random
import sys
import tempfile
from pathlib import Path
from unittest import mock
import mmcv
import numpy as np
import pytest
import torch
from mmocr.apis import init_detector
from mmocr.datasets.kie_dataset imp... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_mask/test_mask_utils.py | tests/test_utils/test_mask/test_mask_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Test text mask_utils."""
import tempfile
from unittest import mock
import numpy as np
import pytest
import mmocr.core.evaluation.utils as eval_utils
import mmocr.core.mask as mask_utils
import mmocr.core.visualize as visualize_utils
def test_points2boundary():
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_utils/test_text/test_text_utils.py | tests/test_utils/test_text/test_text_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Test text label visualize."""
import os.path as osp
import random
import tempfile
from unittest import mock
import numpy as np
import pytest
import mmocr.core.visualize as visualize_utils
def test_tile_image():
dummp_imgs, heights, widths = [], [], []
for _... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/version.py | mmocr/version.py | # Copyright (c) Open-MMLab. All rights reserved.
__version__ = '0.6.0'
short_version = __version__
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/__init__.py | mmocr/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import mmdet
from packaging.version import parse
from .version import __version__, short_version
def digit_version(version_str: str, length: int = 4):
"""Convert a version string into a tuple of integers.
This method is usually use... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/icdar_dataset.py | mmocr/datasets/icdar_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
from mmdet.datasets.api_wrappers import COCO
from mmdet.datasets.builder import DATASETS
from mmdet.datasets.coco import CocoDataset
import mmocr.utils as utils
from mmocr import digit_version
from mmocr.core.evaluation.hmean import eval_hm... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/base_dataset.py | mmocr/datasets/base_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv.utils import print_log
from mmdet.datasets.builder import DATASETS
from mmdet.datasets.pipelines import Compose
from torch.utils.data import Dataset
from mmocr.datasets.builder import build_loader
@DATASETS.register_module()
class BaseDatas... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/text_det_dataset.py | mmocr/datasets/text_det_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmdet.datasets.builder import DATASETS
from mmocr.core.evaluation.hmean import eval_hmean
from mmocr.datasets.base_dataset import BaseDataset
@DATASETS.register_module()
class TextDetDataset(BaseDataset):
def _parse_anno_info(self, annotati... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/ocr_dataset.py | mmocr/datasets/ocr_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.datasets.builder import DATASETS
from mmocr.core.evaluation.ocr_metric import eval_ocr_metric
from mmocr.datasets.base_dataset import BaseDataset
from mmocr.utils import is_type_list
@DATASETS.register_module()
class OCRDataset(BaseDataset):
def pre_pip... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/uniform_concat_dataset.py | mmocr/datasets/uniform_concat_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from collections import defaultdict
import numpy as np
from mmcv.utils import print_log
from mmdet.datasets import DATASETS, ConcatDataset, build_dataset
from mmocr.utils import is_2dlist, is_type_list
@DATASETS.register_module()
class UniformConcatDataset... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/ocr_seg_dataset.py | mmocr/datasets/ocr_seg_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.datasets.builder import DATASETS
import mmocr.utils as utils
from mmocr.datasets.ocr_dataset import OCRDataset
@DATASETS.register_module()
class OCRSegDataset(OCRDataset):
def pre_pipeline(self, results):
results['img_prefix'] = self.img_prefix
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/ner_dataset.py | mmocr/datasets/ner_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.datasets.builder import DATASETS
from mmocr.core.evaluation.ner_metric import eval_ner_f1
from mmocr.datasets.base_dataset import BaseDataset
@DATASETS.register_module()
class NerDataset(BaseDataset):
"""Custom dataset for named entity recognition tasks.... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/__init__.py | mmocr/datasets/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.datasets.builder import DATASETS, build_dataloader, build_dataset
from . import utils
from .base_dataset import BaseDataset
from .icdar_dataset import IcdarDataset
from .kie_dataset import KIEDataset
from .ner_dataset import NerDataset
from .ocr_dataset import... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/openset_kie_dataset.py | mmocr/datasets/openset_kie_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import numpy as np
import torch
from mmdet.datasets.builder import DATASETS
from mmocr.datasets import KIEDataset
@DATASETS.register_module()
class OpensetKIEDataset(KIEDataset):
"""Openset KIE classifies the nodes (i.e. text boxes) into bg/key/value
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/builder.py | mmocr/datasets/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.utils import Registry, build_from_cfg
LOADERS = Registry('loader')
PARSERS = Registry('parser')
def build_loader(cfg):
"""Build anno file loader."""
return build_from_cfg(cfg, LOADERS)
def build_parser(cfg):
"""Build anno file parser."""
ret... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/kie_dataset.py | mmocr/datasets/kie_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
from os import path as osp
import numpy as np
import torch
from mmdet.datasets.builder import DATASETS
from mmocr.core import compute_f1_score
from mmocr.datasets.base_dataset import BaseDataset
from mmocr.datasets.pipelines import sort_verte... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/ner_transforms.py | mmocr/datasets/pipelines/ner_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.datasets.builder import PIPELINES
from mmocr.models.builder import build_convertor
@PIPELINES.register_module()
class NerTransform:
"""Convert text to ID and entity in ground truth to label ID. The masks and
tokens are generated at the s... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/dbnet_transforms.py | mmocr/datasets/pipelines/dbnet_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import imgaug
import imgaug.augmenters as iaa
import mmcv
import numpy as np
from mmdet.core.mask import PolygonMasks
from mmdet.datasets.builder import PIPELINES
class AugmenterBuilder:
"""Build imgaug object according ImgAug argmentations."""
def __init__(sel... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/crop.py | mmocr/datasets/pipelines/crop.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from shapely.geometry import LineString, Point
import mmocr.utils as utils
from .box_utils import sort_vertex
def box_jitter(points_x, points_y, jitter_ratio_x=0.5, jitter_ratio_y=0.1):
"""Jitter on the coordinates of bounding box.
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/box_utils.py | mmocr/datasets/pipelines/box_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import mmocr.utils as utils
def sort_vertex(points_x, points_y):
"""Sort box vertices in clockwise order from left-top first.
Args:
points_x (list[float]): x of four vertices.
points_y (list[float]): y of four vertices.
R... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/custom_format_bundle.py | mmocr/datasets/pipelines/custom_format_bundle.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv.parallel import DataContainer as DC
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines.formatting import DefaultFormatBundle
from mmocr.core.visualize import overlay_mask_img, show_feature
@PIPELINES.register_module(... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/ocr_transforms.py | mmocr/datasets/pipelines/ocr_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import mmcv
import numpy as np
import torch
import torchvision.transforms.functional as TF
from mmcv.runner.dist_utils import get_dist_info
from mmdet.datasets.builder import PIPELINES
from PIL import Image
from shapely.geometry import Polygon
from shapely.ge... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/loading.py | mmocr/datasets/pipelines/loading.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import lmdb
import mmcv
import numpy as np
from mmdet.core import BitmapMasks, PolygonMasks
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines.loading import LoadAnnotations, LoadImageFromFile
@PIPELINES.register_module()
class L... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/transform_wrappers.py | mmocr/datasets/pipelines/transform_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import inspect
import random
import mmcv
import numpy as np
import torchvision.transforms as torchvision_transforms
from mmcv.utils import build_from_cfg
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines import Compose
from PIL import Image
@PI... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/__init__.py | mmocr/datasets/pipelines/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .box_utils import sort_vertex, sort_vertex8
from .custom_format_bundle import CustomFormatBundle
from .dbnet_transforms import EastRandomCrop, ImgAug
from .kie_transforms import KIEFormatBundle, ResizeNoImg
from .loading import (LoadImageFromLMDB, LoadImageFromNdarra... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/kie_transforms.py | mmocr/datasets/pipelines/kie_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmcv import rescale_size
from mmcv.parallel import DataContainer as DC
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines.formatting import DefaultFormatBundle, to_tensor
@PIPELINES.register_module()
class ResizeNoImg:
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/test_time_aug.py | mmocr/datasets/pipelines/test_time_aug.py | # Copyright (c) OpenMMLab. All rights reserved.
import mmcv
import numpy as np
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines.compose import Compose
@PIPELINES.register_module()
class MultiRotateAugOCR:
"""Test-time augmentation with multiple rotations in the case that
img_height >... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/transforms.py | mmocr/datasets/pipelines/transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import cv2
import mmcv
import numpy as np
import torchvision.transforms as transforms
from mmdet.core import BitmapMasks, PolygonMasks
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines.transforms import Resize
from PIL import Image
fr... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | true |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/ocr_seg_targets.py | mmocr/datasets/pipelines/ocr_seg_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from mmdet.core import BitmapMasks
from mmdet.datasets.builder import PIPELINES
import mmocr.utils.check_argument as check_argument
from mmocr.models.builder import build_convertor
@PIPELINES.register_module()
class OCRSegTargets:
"""G... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/drrg_targets.py | mmocr/datasets/pipelines/textdet_targets/drrg_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from lanms import merge_quadrangle_n9 as la_nms
from mmdet.core import BitmapMasks
from mmdet.datasets.builder import PIPELINES
from numpy.linalg import norm
import mmocr.utils.check_argument as check_argument
from .textsnake_targets import ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/base_textdet_targets.py | mmocr/datasets/pipelines/textdet_targets/base_textdet_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import sys
import cv2
import numpy as np
import pyclipper
from mmcv.utils import print_log
from shapely.geometry import Polygon as plg
import mmocr.utils.check_argument as check_argument
class BaseTextDetTargets:
"""Generate text detector ground truths."""
de... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/textsnake_targets.py | mmocr/datasets/pipelines/textdet_targets/textsnake_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from mmdet.core import BitmapMasks
from mmdet.datasets.builder import PIPELINES
from numpy.linalg import norm
import mmocr.utils.check_argument as check_argument
from . import BaseTextDetTargets
@PIPELINES.register_module()
class TextSnake... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/panet_targets.py | mmocr/datasets/pipelines/textdet_targets/panet_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.core import BitmapMasks
from mmdet.datasets.builder import PIPELINES
from . import BaseTextDetTargets
@PIPELINES.register_module()
class PANetTargets(BaseTextDetTargets):
"""Generate the ground truths for PANet: Efficient and Accurate Arbitrary-
Shap... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/fcenet_targets.py | mmocr/datasets/pipelines/textdet_targets/fcenet_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from mmdet.datasets.builder import PIPELINES
from numpy.fft import fft
from numpy.linalg import norm
import mmocr.utils.check_argument as check_argument
from .textsnake_targets import TextSnakeTargets
@PIPELINES.register_module()
class FCE... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/__init__.py | mmocr/datasets/pipelines/textdet_targets/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_textdet_targets import BaseTextDetTargets
from .dbnet_targets import DBNetTargets
from .drrg_targets import DRRGTargets
from .fcenet_targets import FCENetTargets
from .panet_targets import PANetTargets
from .psenet_targets import PSENetTargets
from .textsnake_t... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/dbnet_targets.py | mmocr/datasets/pipelines/textdet_targets/dbnet_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import pyclipper
from mmdet.core import BitmapMasks
from mmdet.datasets.builder import PIPELINES
from shapely.geometry import Polygon
from . import BaseTextDetTargets
@PIPELINES.register_module()
class DBNetTargets(BaseTextDetTargets):
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/pipelines/textdet_targets/psenet_targets.py | mmocr/datasets/pipelines/textdet_targets/psenet_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.datasets.builder import PIPELINES
from . import PANetTargets
@PIPELINES.register_module()
class PSENetTargets(PANetTargets):
"""Generate the ground truth targets of PSENet: Shape robust text detection
with progressive scale expansion network.
[h... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/utils/loader.py | mmocr/datasets/utils/loader.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmocr.datasets.builder import LOADERS, build_parser
from .backend import (HardDiskAnnFileBackend, HTTPAnnFileBackend,
PetrelAnnFileBackend)
@LOADERS.register_module()
class AnnFileLoader:
"""Annotation file loader to load ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/utils/parser.py | mmocr/datasets/utils/parser.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import warnings
from mmocr.datasets.builder import PARSERS
from mmocr.utils import StringStrip
@PARSERS.register_module()
class LineStrParser:
"""Parse string of one line in annotation file to dict format.
Args:
keys (list[str]): Keys in re... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/utils/__init__.py | mmocr/datasets/utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .loader import AnnFileLoader, HardDiskLoader, LmdbLoader
from .parser import LineJsonParser, LineStrParser
__all__ = [
'HardDiskLoader', 'LmdbLoader', 'AnnFileLoader', 'LineStrParser',
'LineJsonParser'
]
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/datasets/utils/backend.py | mmocr/datasets/utils/backend.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os
import os.path as osp
import shutil
import warnings
import mmcv
from mmocr import digit_version
from mmocr.utils import list_from_file
class LmdbAnnFileBackend:
"""Lmdb storage backend for annotation file.
Args:
lmdb_path (str): ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/__init__.py | mmocr/models/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from . import common, kie, textdet, textrecog
from .builder import (BACKBONES, CONVERTORS, DECODERS, DETECTORS, ENCODERS,
HEADS, LOSSES, NECKS, PREPROCESSOR, build_backbone,
build_convertor, build_decoder, build_detector,
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/builder.py | mmocr/models/builder.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.cnn import ACTIVATION_LAYERS as MMCV_ACTIVATION_LAYERS
from mmcv.cnn import UPSAMPLE_LAYERS as MMCV_UPSAMPLE_LAYERS
from mmcv.utils import Registry, build_from_cfg
from mmdet.models.builder import BACKBONES as MMDET_BACKBON... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/__init__.py | mmocr/models/textrecog/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from . import (backbones, convertors, decoders, encoders, fusers, heads,
losses, necks, plugins, preprocessor, recognizer)
from .backbones import * # NOQA
from .convertors import * # NOQA
from .decoders import * # NOQA
from .encoders import * # NOQA
fro... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/fusers/abi_fuser.py | mmocr/models/textrecog/fusers/abi_fuser.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.runner import BaseModule
from mmocr.models.builder import FUSERS
@FUSERS.register_module()
class ABIFuser(BaseModule):
"""Mix and align visual feature and linguistic feature Implementation of
language model of `ABINe... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/fusers/__init__.py | mmocr/models/textrecog/fusers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .abi_fuser import ABIFuser
__all__ = ['ABIFuser']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/heads/__init__.py | mmocr/models/textrecog/heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .seg_head import SegHead
__all__ = ['SegHead']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/heads/seg_head.py | mmocr/models/textrecog/heads/seg_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from torch import nn
from mmocr.models.builder import HEADS
@HEADS.register_module()
class SegHead(BaseModule):
"""Head for segmentation based text recognition.
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/losses/ctc_loss.py | mmocr/models/textrecog/losses/ctc_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class CTCLoss(nn.Module):
"""Implementation of loss module for CTC-loss based text recognition.
Args:
flatten (bool): If True, use flatten... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/losses/seg_loss.py | mmocr/models/textrecog/losses/seg_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class SegLoss(nn.Module):
"""Implementation of loss module for segmentation based text recognition
method.
Args:
se... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/losses/__init__.py | mmocr/models/textrecog/losses/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .ce_loss import CELoss, SARLoss, TFLoss
from .ctc_loss import CTCLoss
from .mix_loss import ABILoss
from .seg_loss import SegLoss
from .cc_loss import CCLoss
__all__ = ['CELoss', 'SARLoss', 'CTCLoss', 'TFLoss', 'SegLoss', 'ABILoss', 'CCLoss']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/losses/cc_loss.py | mmocr/models/textrecog/losses/cc_loss.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class CCLoss(nn.Module):
"""Implementation of loss module for encoder-decoder based text recognition
method with Character Contrastive loss.
Args:
ignore_index (int): Specifies a target value that is
ignored and does n... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/losses/ce_loss.py | mmocr/models/textrecog/losses/ce_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class CELoss(nn.Module):
"""Implementation of loss module for encoder-decoder based text recognition
method with CrossEntropy loss.
Args:
ignore_index (int): Sp... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/losses/mix_loss.py | mmocr/models/textrecog/losses/mix_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class ABILoss(nn.Module):
"""Implementation of ABINet multiloss that allows mixing different types of
losses with weights.
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/convertors/attn.py | mmocr/models/textrecog/convertors/attn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import mmocr.utils as utils
from mmocr.models.builder import CONVERTORS
from .base import BaseConvertor
@CONVERTORS.register_module()
class AttnConvertor(BaseConvertor):
"""Convert between text, index and tensor for encoder-decoder based
pipeline.
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/convertors/ctc.py | mmocr/models/textrecog/convertors/ctc.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn.functional as F
import mmocr.utils as utils
from mmocr.models.builder import CONVERTORS
from .base import BaseConvertor
@CONVERTORS.register_module()
class CTCConvertor(BaseConvertor):
"""Convert between text, index and ten... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/convertors/__init__.py | mmocr/models/textrecog/convertors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .abi import ABIConvertor
from .attn import AttnConvertor
from .base import BaseConvertor
from .ctc import CTCConvertor
from .seg import SegConvertor
__all__ = [
'BaseConvertor', 'CTCConvertor', 'AttnConvertor', 'SegConvertor',
'ABIConvertor'
]
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/convertors/base.py | mmocr/models/textrecog/convertors/base.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import CONVERTORS
from mmocr.utils import list_from_file
@CONVERTORS.register_module()
class BaseConvertor:
"""Convert between text, index and tensor for text recognize pipeline.
Args:
dict_type (str): Type of dict, options are... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/convertors/abi.py | mmocr/models/textrecog/convertors/abi.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import mmocr.utils as utils
from mmocr.models.builder import CONVERTORS
from .attn import AttnConvertor
@CONVERTORS.register_module()
class ABIConvertor(AttnConvertor):
"""Convert between text, index and tensor for encoder-decoder based
pipeline. M... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/convertors/seg.py | mmocr/models/textrecog/convertors/seg.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import torch
import mmocr.utils as utils
from mmocr.models.builder import CONVERTORS
from .base import BaseConvertor
@CONVERTORS.register_module()
class SegConvertor(BaseConvertor):
"""Convert between text, index and tensor for segment... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/abinet_vision_model.py | mmocr/models/textrecog/encoders/abinet_vision_model.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import ENCODERS, build_decoder, build_encoder
from .base_encoder import BaseEncoder
@ENCODERS.register_module()
class ABIVisionModel(BaseEncoder):
"""A wrapper of visual feature encoder and language token decoder that
converts visual fe... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/nrtr_encoder.py | mmocr/models/textrecog/encoders/nrtr_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch.nn as nn
from mmcv.runner import ModuleList
from mmocr.models.builder import ENCODERS
from mmocr.models.common import TFEncoderLayer
from .base_encoder import BaseEncoder
@ENCODERS.register_module()
class NRTREncoder(BaseEncoder):
"""Trans... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/sar_encoder.py | mmocr/models/textrecog/encoders/sar_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import mmocr.utils as utils
from mmocr.models.builder import ENCODERS
from .base_encoder import BaseEncoder
@ENCODERS.register_module()
class SAREncoder(BaseEncoder):
"""Implementation ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/corner_encoder.py | mmocr/models/textrecog/encoders/corner_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch.nn as nn
from mmcv.runner import ModuleList
from mmocr.models.builder import ENCODERS
from mmocr.models.textrecog.layers import Adaptive2DPositionalEncoding, CornerCrossattnLayer
from .base_encoder import BaseEncoder
@ENCODERS.register_module(... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/base_encoder.py | mmocr/models/textrecog/encoders/base_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner import BaseModule
from mmocr.models.builder import ENCODERS
@ENCODERS.register_module()
class BaseEncoder(BaseModule):
"""Base Encoder class for text recognition."""
def forward(self, feat, **kwargs):
return feat
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/satrn_encoder.py | mmocr/models/textrecog/encoders/satrn_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch.nn as nn
from mmcv.runner import ModuleList
from mmocr.models.builder import ENCODERS
from mmocr.models.textrecog.layers import (Adaptive2DPositionalEncoding,
SatrnEncoderLayer)
from .base_encoder impor... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/__init__.py | mmocr/models/textrecog/encoders/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .abinet_vision_model import ABIVisionModel
from .base_encoder import BaseEncoder
from .channel_reduction_encoder import ChannelReductionEncoder
from .nrtr_encoder import NRTREncoder
from .sar_encoder import SAREncoder
from .satrn_encoder import SatrnEncoder
from .tra... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/transformer.py | mmocr/models/textrecog/encoders/transformer.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from mmcv.cnn.bricks.transformer import BaseTransformerLayer
from mmcv.runner import BaseModule, ModuleList
from mmocr.models.builder import ENCODERS
from mmocr.models.common.modules import PositionalEncoding
@ENCODERS.register_module()
class TransformerEn... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/encoders/channel_reduction_encoder.py | mmocr/models/textrecog/encoders/channel_reduction_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmocr.models.builder import ENCODERS
from .base_encoder import BaseEncoder
@ENCODERS.register_module()
class ChannelReductionEncoder(BaseEncoder):
"""Change the channel number with a one by one convoluational layer.
Args:
in_... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/recognizer/abinet.py | mmocr/models/textrecog/recognizer/abinet.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
from mmocr.models.builder import (RECOGNIZERS, build_backbone, build_convertor,
build_decoder, build_encoder, build_fuser,
build_loss, build_preprocessor)
from .encode_decod... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/recognizer/master.py | mmocr/models/textrecog/recognizer/master.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import DETECTORS
from .encode_decode_recognizer import EncodeDecodeRecognizer
@DETECTORS.register_module()
class MASTER(EncodeDecodeRecognizer):
"""Implementation of `MASTER <https://arxiv.org/abs/1910.02562>`_"""
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/recognizer/seg_recognizer.py | mmocr/models/textrecog/recognizer/seg_recognizer.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmocr.models.builder import (RECOGNIZERS, build_backbone, build_convertor,
build_head, build_loss, build_neck,
build_preprocessor)
from .base import BaseRecognizer
@RECOGNIZERS.reg... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/recognizer/robust_scanner.py | mmocr/models/textrecog/recognizer/robust_scanner.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import RECOGNIZERS
from .encode_decode_recognizer import EncodeDecodeRecognizer
@RECOGNIZERS.register_module()
class RobustScanner(EncodeDecodeRecognizer):
"""Implementation of `RobustScanner.
<https://arxiv.org/pdf/2007.07542.pdf>
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/recognizer/nrtr.py | mmocr/models/textrecog/recognizer/nrtr.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import RECOGNIZERS
from .encode_decode_recognizer import EncodeDecodeRecognizer
@RECOGNIZERS.register_module()
class NRTR(EncodeDecodeRecognizer):
"""Implementation of `NRTR <https://arxiv.org/pdf/1806.00926.pdf>`_"""
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
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