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/mmocr/models/textrecog/recognizer/__init__.py | mmocr/models/textrecog/recognizer/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .abinet import ABINet
from .base import BaseRecognizer
from .crnn import CRNNNet
from .encode_decode_recognizer import EncodeDecodeRecognizer
from .master import MASTER
from .nrtr import NRTR
from .robust_scanner import RobustScanner
from .sar import SARNet
from .sat... | 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/encode_decode_recognizer.py | mmocr/models/textrecog/recognizer/encode_decode_recognizer.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_loss,
build_preprocessor)
from .base import BaseRecognize... | 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/crnn.py | mmocr/models/textrecog/recognizer/crnn.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import RECOGNIZERS
from .encode_decode_recognizer import EncodeDecodeRecognizer
@RECOGNIZERS.register_module()
class CRNNNet(EncodeDecodeRecognizer):
"""CTC-loss based recognizer."""
| 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/base.py | mmocr/models/textrecog/recognizer/base.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from abc import ABCMeta, abstractmethod
from collections import OrderedDict
import mmcv
import torch
import torch.distributed as dist
from mmcv.runner import BaseModule, auto_fp16
from mmocr.core import imshow_text_label
class BaseRecognizer(BaseModule... | 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/sar.py | mmocr/models/textrecog/recognizer/sar.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import RECOGNIZERS
from .encode_decode_recognizer import EncodeDecodeRecognizer
@RECOGNIZERS.register_module()
class SARNet(EncodeDecodeRecognizer):
"""Implementation of `SAR <https://arxiv.org/abs/1811.00751>`_"""
| 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/satrn.py | mmocr/models/textrecog/recognizer/satrn.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import RECOGNIZERS
from .encode_decode_recognizer import EncodeDecodeRecognizer
@RECOGNIZERS.register_module()
class SATRN(EncodeDecodeRecognizer):
"""Implementation of `SATRN <https://arxiv.org/abs/1910.04396>`_"""
| 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/corner_transformer.py | mmocr/models/textrecog/recognizer/corner_transformer.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_loss,
build_preprocessor)
from .base import BaseRecognize... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/plugins/common.py | mmocr/models/textrecog/plugins/common.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import PLUGIN_LAYERS
@PLUGIN_LAYERS.register_module()
class Maxpool2d(nn.Module):
"""A wrapper around nn.Maxpool2d().
Args:
kernel_size (int or tuple(int)): Kernel size for max pooling layer
strid... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/plugins/__init__.py | mmocr/models/textrecog/plugins/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .common import GCAModule, Maxpool2d
__all__ = ['Maxpool2d', 'GCAModule']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/preprocessor/tps_preprocessor.py | mmocr/models/textrecog/preprocessor/tps_preprocessor.py | # Modified from https://github.com/clovaai/deep-text-recognition-benchmark
#
# Licensed under the Apache License, Version 2.0 (the "License");s
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/preprocessor/base_preprocessor.py | mmocr/models/textrecog/preprocessor/base_preprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner import BaseModule
from mmocr.models.builder import PREPROCESSOR
@PREPROCESSOR.register_module()
class BasePreprocessor(BaseModule):
"""Base Preprocessor class for text recognition."""
def forward(self, x, **kwargs):
return x
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/preprocessor/__init__.py | mmocr/models/textrecog/preprocessor/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_preprocessor import BasePreprocessor
from .tps_preprocessor import TPSPreprocessor
from .corner_preprocessor import CornerPreprocessor
__all__ = ['BasePreprocessor', 'TPSPreprocessor', 'CornerPreprocessor']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/preprocessor/corner_preprocessor.py | mmocr/models/textrecog/preprocessor/corner_preprocessor.py | # Modified from https://github.com/clovaai/deep-text-recognition-benchmark
#
# Licensed under the Apache License, Version 2.0 (the "License");s
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/crnn_decoder.py | mmocr/models/textrecog/decoders/crnn_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import Sequential
from mmocr.models.builder import DECODERS
from mmocr.models.textrecog.layers import BidirectionalLSTM
from .base_decoder import BaseDecoder
@DECODERS.register_module()
class CRNNDecoder(BaseDecoder):
"""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/decoders/abinet_language_decoder.py | mmocr/models/textrecog/decoders/abinet_language_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import torch
import torch.nn as nn
from mmcv.cnn.bricks.transformer import BaseTransformerLayer
from mmcv.runner import ModuleList
from mmocr.models.builder import DECODERS
from mmocr.models.common.modules import PositionalEncoding
from .base_decoder import ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/position_attention_decoder.py | mmocr/models/textrecog/decoders/position_attention_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
from mmocr.models.builder import DECODERS
from mmocr.models.textrecog.layers import (DotProductAttentionLayer,
PositionAwareLayer)
from .base_decoder import BaseDecoder
@DECODERS... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/sar_decoder_with_bs.py | mmocr/models/textrecog/decoders/sar_decoder_with_bs.py | # Copyright (c) OpenMMLab. All rights reserved.
from queue import PriorityQueue
import torch
import torch.nn.functional as F
import mmocr.utils as utils
from mmocr.models.builder import DECODERS
from . import ParallelSARDecoder
class DecodeNode:
"""Node class to save decoded char indices and scores.
Args:
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/abinet_vision_decoder.py | mmocr/models/textrecog/decoders/abinet_vision_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmocr.models.builder import DECODERS
from mmocr.models.common.modules import PositionalEncoding
from .base_decoder import BaseDecoder
@DECODERS.register_module()
class ABIVisionDecoder(BaseDecoder)... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/sequence_attention_decoder.py | mmocr/models/textrecog/decoders/sequence_attention_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmocr.models.builder import DECODERS
from mmocr.models.textrecog.layers import DotProductAttentionLayer
from .base_decoder import BaseDecoder
@DECODERS.register_module()
class Sequence... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/base_decoder.py | mmocr/models/textrecog/decoders/base_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner import BaseModule
from mmocr.models.builder import DECODERS
@DECODERS.register_module()
class BaseDecoder(BaseModule):
"""Base decoder class for text recognition."""
def __init__(self, init_cfg=None, **kwargs):
super().__init__(init_cf... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/charcont_decoder.py | mmocr/models/textrecog/decoders/charcont_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.runner import ModuleList
from mmocr.models.builder import DECODERS
from mmocr.models.common import PositionalEncoding, TFDecoderLayer
from .base_decoder import BaseDecoder
@DECODE... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/sar_decoder.py | mmocr/models/textrecog/decoders/sar_decoder.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 DECODERS
from .base_decoder import BaseDecoder
@DECODERS.register_module()
class ParallelSARDecoder(BaseDecoder):
"""Impleme... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/__init__.py | mmocr/models/textrecog/decoders/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .abinet_language_decoder import ABILanguageDecoder
from .abinet_vision_decoder import ABIVisionDecoder
from .base_decoder import BaseDecoder
from .crnn_decoder import CRNNDecoder
from .master_decoder import MasterDecoder
from .nrtr_decoder import NRTRDecoder
from .po... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/master_decoder.py | mmocr/models/textrecog/decoders/master_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn.bricks.transformer import BaseTransformerLayer
from mmcv.runner import ModuleList
from mmocr.models.builder import DECODERS
from mmocr.models.common.modules import P... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/nrtr_decoder.py | mmocr/models/textrecog/decoders/nrtr_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.runner import ModuleList
from mmocr.models.builder import DECODERS
from mmocr.models.common import PositionalEncoding, TFDecoderLayer
from .base_decoder import BaseDecoder
@DECODE... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/decoders/robust_scanner_decoder.py | mmocr/models/textrecog/decoders/robust_scanner_decoder.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 DECODERS, build_decoder
from mmocr.models.textrecog.layers import RobustScannerFusionLayer
from .base_decoder import BaseDecoder
@DECODERS.register_module()
class Robust... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/satrn_layers.py | mmocr/models/textrecog/layers/satrn_layers.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from mmocr.models.common import MultiHeadAttention
class SatrnEncoderLayer(BaseModule):
""""""
def __init__(self,
d_model=... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/__init__.py | mmocr/models/textrecog/layers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .conv_layer import BasicBlock, Bottleneck
from .dot_product_attention_layer import DotProductAttentionLayer
from .lstm_layer import BidirectionalLSTM
from .position_aware_layer import PositionAwareLayer
from .robust_scanner_fusion_layer import RobustScannerFusionLaye... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/corner_crossattn_layers.py | mmocr/models/textrecog/layers/corner_crossattn_layers.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from mmocr.models.common import MultiHeadAttention
class CornerCrossattnLayer(BaseModule):
""""""
def __init__(self,
d_mod... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/dot_product_attention_layer.py | mmocr/models/textrecog/layers/dot_product_attention_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
class DotProductAttentionLayer(nn.Module):
def __init__(self, dim_model=None):
super().__init__()
self.scale = dim_model**-0.5 if dim_model is not None else 1.
def forward(self... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/position_aware_layer.py | mmocr/models/textrecog/layers/position_aware_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
class PositionAwareLayer(nn.Module):
def __init__(self, dim_model, rnn_layers=2):
super().__init__()
self.dim_model = dim_model
self.rnn = nn.LSTM(
input_size=dim_model,
hidden_size=dim_model,
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/lstm_layer.py | mmocr/models/textrecog/layers/lstm_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
class BidirectionalLSTM(nn.Module):
def __init__(self, nIn, nHidden, nOut):
super().__init__()
self.rnn = nn.LSTM(nIn, nHidden, bidirectional=True)
self.embedding = nn.Linear(nHidden * 2, nOut)
def forward(self, i... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/conv_layer.py | mmocr/models/textrecog/layers/conv_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import build_plugin_layer
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding."""
return nn.Conv2d(
in_planes,
out_planes,
kernel_size=3,
stride=stride,
padding... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/layers/robust_scanner_fusion_layer.py | mmocr/models/textrecog/layers/robust_scanner_fusion_layer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmcv.runner import BaseModule
class RobustScannerFusionLayer(BaseModule):
def __init__(self, dim_model, dim=-1, init_cfg=None):
super().__init__(init_cfg=init_cfg)
self.dim_model = dim_model
self.dim ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/very_deep_vgg.py | mmocr/models/textrecog/backbones/very_deep_vgg.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule, Sequential
from mmocr.models.builder import BACKBONES
@BACKBONES.register_module()
class VeryDeepVgg(BaseModule):
"""Implement VGG-VeryDeep backbone for text recognition, modified from
`VGG-VeryDeep <htt... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/resnet31_ocr.py | mmocr/models/textrecog/backbones/resnet31_ocr.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule, Sequential
import mmocr.utils as utils
from mmocr.models.builder import BACKBONES
from mmocr.models.textrecog.layers import BasicBlock
@BACKBONES.register_module()
class ResNet31OCR(BaseModule):
"""Implement... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/nrtr_modality_transformer.py | mmocr/models/textrecog/backbones/nrtr_modality_transformer.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule
from mmocr.models.builder import BACKBONES
@BACKBONES.register_module()
class NRTRModalityTransform(BaseModule):
def __init__(self,
input_channels=3,
init_cfg=[
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/resnet.py | mmocr/models/textrecog/backbones/resnet.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.cnn import ConvModule, build_plugin_layer
from mmcv.runner import BaseModule, Sequential
import mmocr.utils as utils
from mmocr.models.builder import BACKBONES
from mmocr.models.textrecog.layers import BasicBlock
@BACKBONES.register_module()
class ResNet(Base... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/shallow_cnn.py | mmocr/models/textrecog/backbones/shallow_cnn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule
from mmocr.models.builder import BACKBONES
@BACKBONES.register_module()
class ShallowCNN(BaseModule):
"""Implement Shallow CNN block for SATRN.
SATRN: `On Recognizing Text... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/__init__.py | mmocr/models/textrecog/backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .nrtr_modality_transformer import NRTRModalityTransform
from .resnet import ResNet
from .resnet31_ocr import ResNet31OCR
from .resnet_abi import ResNetABI
from .shallow_cnn import ShallowCNN
from .very_deep_vgg import VeryDeepVgg
__all__ = [
'ResNet31OCR', 'Very... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/backbones/resnet_abi.py | mmocr/models/textrecog/backbones/resnet_abi.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule, Sequential
import mmocr.utils as utils
from mmocr.models.builder import BACKBONES
from mmocr.models.textrecog.layers import BasicBlock
@BACKBONES.register_module()
class ResNetABI(BaseModule):
"""Implement R... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/necks/__init__.py | mmocr/models/textrecog/necks/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .fpn_ocr import FPNOCR
__all__ = ['FPNOCR']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textrecog/necks/fpn_ocr.py | mmocr/models/textrecog/necks/fpn_ocr.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule, ModuleList
from mmocr.models.builder import NECKS
@NECKS.register_module()
class FPNOCR(BaseModule):
"""FPN-like Network for segmentation based text rec... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/__init__.py | mmocr/models/ner/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from . import classifiers, convertors, decoders, encoders, losses
from .classifiers import * # NOQA
from .convertors import * # NOQA
from .decoders import * # NOQA
from .encoders import * # NOQA
from .losses import * # NOQA
__all__ = (
classifiers.__all__ + conv... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/losses/masked_focal_loss.py | mmocr/models/ner/losses/masked_focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import nn
from mmocr.models.builder import LOSSES
from mmocr.models.common.losses.focal_loss import FocalLoss
@LOSSES.register_module()
class MaskedFocalLoss(nn.Module):
"""The implementation of masked focal loss.
The mask has 1 for real tokens and ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/losses/masked_cross_entropy_loss.py | mmocr/models/ner/losses/masked_cross_entropy_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from torch import nn
from torch.nn import CrossEntropyLoss
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class MaskedCrossEntropyLoss(nn.Module):
"""The implementation of masked cross entropy loss.
The mask has 1 for real tokens and 0 for p... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/losses/__init__.py | mmocr/models/ner/losses/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .masked_cross_entropy_loss import MaskedCrossEntropyLoss
from .masked_focal_loss import MaskedFocalLoss
__all__ = ['MaskedCrossEntropyLoss', 'MaskedFocalLoss']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/convertors/__init__.py | mmocr/models/ner/convertors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .ner_convertor import NerConvertor
__all__ = ['NerConvertor']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/convertors/ner_convertor.py | mmocr/models/ner/convertors/ner_convertor.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmocr.models.builder import CONVERTORS
from mmocr.utils import list_from_file
@CONVERTORS.register_module()
class NerConvertor:
"""Convert between text, index and tensor for NER pipeline.
Args:
annotation_type (str): BIO((B-begi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/encoders/bert_encoder.py | mmocr/models/ner/encoders/bert_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmcv.runner import BaseModule
from mmocr.models.builder import ENCODERS
from mmocr.models.ner.utils.bert import BertModel
@ENCODERS.register_module()
class BertEncoder(BaseModule):
"""Bert encoder
Args:
num_hidden_layers (int): The number of hidden... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/encoders/__init__.py | mmocr/models/ner/encoders/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .bert_encoder import BertEncoder
__all__ = ['BertEncoder']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/utils/bert.py | mmocr/models/ner/utils/bert.py | # ------------------------------------------------------------------------------
# Adapted from https://github.com/lonePatient/BERT-NER-Pytorch
# Original licence: Copyright (c) 2020 Weitang Liu, under the MIT License.
# ------------------------------------------------------------------------------
import math
import... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/utils/__init__.py | mmocr/models/ner/utils/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .activations import GeluNew
from .bert import BertModel
__all__ = ['BertModel', 'GeluNew']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/utils/activations.py | mmocr/models/ner/utils/activations.py | # ------------------------------------------------------------------------------
# Adapted from https://github.com/lonePatient/BERT-NER-Pytorch
# Original licence: Copyright (c) 2020 Weitang Liu, under the MIT License.
# ------------------------------------------------------------------------------
import math
import... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/decoders/__init__.py | mmocr/models/ner/decoders/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .fc_decoder import FCDecoder
__all__ = ['FCDecoder']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/decoders/fc_decoder.py | mmocr/models/ner/decoders/fc_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from mmcv.runner import BaseModule
from mmocr.models.builder import DECODERS
@DECODERS.register_module()
class FCDecoder(BaseModule):
"""FC Decoder class for Ner.
Args:
num_labels... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/classifiers/__init__.py | mmocr/models/ner/classifiers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .ner_classifier import NerClassifier
__all__ = ['NerClassifier']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/ner/classifiers/ner_classifier.py | mmocr/models/ner/classifiers/ner_classifier.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import (DETECTORS, build_convertor, build_decoder,
build_encoder, build_loss)
from mmocr.models.textrecog.recognizer.base import BaseRecognizer
@DETECTORS.register_module()
class NerClassifier(BaseRecognizer):
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/__init__.py | mmocr/models/common/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from . import backbones, layers, losses, modules
from .backbones import * # NOQA
from .layers import * # NOQA
from .losses import * # NOQA
from .modules import * # NOQA
__all__ = backbones.__all__ + losses.__all__ + layers.__all__ + modules.__all__
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/losses/focal_loss.py | mmocr/models/common/losses/focal_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
class FocalLoss(nn.Module):
"""Multi-class Focal loss implementation.
Args:
gamma (float): The larger the gamma, the smaller
the loss weight of easier samples.
weight... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/losses/dice_loss.py | mmocr/models/common/losses/dice_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class DiceLoss(nn.Module):
def __init__(self, eps=1e-6):
super().__init__()
assert isinstance(eps, float)
self.eps = eps
def forward(s... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/losses/__init__.py | mmocr/models/common/losses/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .dice_loss import DiceLoss
from .focal_loss import FocalLoss
__all__ = ['DiceLoss', 'FocalLoss']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/modules/transformer_module.py | mmocr/models/common/modules/transformer_module.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmocr.models.builder import build_activation_layer
class ScaledDotProductAttention(nn.Module):
"""Scaled Dot-Product Attention Module. This code is adopted from
https://g... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/modules/__init__.py | mmocr/models/common/modules/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .transformer_module import (MultiHeadAttention, PositionalEncoding,
PositionwiseFeedForward,
ScaledDotProductAttention)
__all__ = [
'ScaledDotProductAttention', 'MultiHeadAttention',
'Position... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/layers/__init__.py | mmocr/models/common/layers/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .transformer_layers import TFDecoderLayer, TFEncoderLayer
__all__ = ['TFEncoderLayer', 'TFDecoderLayer']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/layers/transformer_layers.py | mmocr/models/common/layers/transformer_layers.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn as nn
from mmcv.runner import BaseModule
from mmocr.models.common.modules import (MultiHeadAttention,
PositionwiseFeedForward)
class TFEncoderLayer(BaseModule):
"""Transformer Encoder Layer.
Args:
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/detectors/single_stage.py | mmocr/models/common/detectors/single_stage.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from mmdet.models.detectors import \
SingleStageDetector as MMDET_SingleStageDetector
from mmocr.models.builder import (DETECTORS, build_backbone, build_head,
build_neck)
@DETECTORS.register_module()
class SingleSt... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/detectors/__init__.py | mmocr/models/common/detectors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .single_stage import SingleStageDetector
__all__ = ['SingleStageDetector']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/backbones/unet.py | mmocr/models/common/backbones/unet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.utils.checkpoint as cp
from mmcv.cnn import ConvModule, build_norm_layer
from mmcv.runner import BaseModule
from mmcv.utils.parrots_wrapper import _BatchNorm
from mmocr.models.builder import (BACKBONES, UPSAMPLE_LAYERS,
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/common/backbones/__init__.py | mmocr/models/common/backbones/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .unet import UNet
__all__ = ['UNet']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/__init__.py | mmocr/models/kie/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from . import extractors, heads, losses
from .extractors import * # NOQA
from .heads import * # NOQA
from .losses import * # NOQA
__all__ = extractors.__all__ + heads.__all__ + losses.__all__
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/heads/sdmgr_head.py | mmocr/models/kie/heads/sdmgr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmcv.runner import BaseModule
from torch import nn
from torch.nn import functional as F
from mmocr.models.builder import HEADS, build_loss
@HEADS.register_module()
class SDMGRHead(BaseModule):
def __init__(self,
num_chars=92,
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/heads/__init__.py | mmocr/models/kie/heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .sdmgr_head import SDMGRHead
__all__ = ['SDMGRHead']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/losses/sdmgr_loss.py | mmocr/models/kie/losses/sdmgr_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmdet.models.losses import accuracy
from torch import nn
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class SDMGRLoss(nn.Module):
"""The implementation the loss of key information extraction proposed in
the paper: Spatial ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/losses/__init__.py | mmocr/models/kie/losses/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .sdmgr_loss import SDMGRLoss
__all__ = ['SDMGRLoss']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/extractors/sdmgr.py | mmocr/models/kie/extractors/sdmgr.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
from mmdet.core import bbox2roi
from torch import nn
from torch.nn import functional as F
from mmocr.core import imshow_edge, imshow_node
from mmocr.models.builder import DETECTORS, build_roi_extractor
from mmocr.models.common.detectors impor... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/kie/extractors/__init__.py | mmocr/models/kie/extractors/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .sdmgr import SDMGR
__all__ = ['SDMGR']
| python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/__init__.py | mmocr/models/textdet/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from . import dense_heads, detectors, losses, necks, postprocess
from .dense_heads import * # NOQA
from .detectors import * # NOQA
from .losses import * # NOQA
from .necks import * # NOQA
from .postprocess import * # NOQA
__all__ = (
dense_heads.__all__ + detect... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/drrg_postprocessor.py | mmocr/models/textdet/postprocess/drrg_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import POSTPROCESSOR
from .base_postprocessor import BasePostprocessor
from .utils import (clusters2labels, comps2boundaries, connected_components,
graph_propagation, remove_single)
@POSTPROCESSOR.register_module()
class DRR... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/db_postprocessor.py | mmocr/models/textdet/postprocess/db_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from mmocr.core import points2boundary
from mmocr.models.builder import POSTPROCESSOR
from .base_postprocessor import BasePostprocessor
from .utils import box_score_fast, unclip
@POSTPROCESSOR.register_module()
class DBPostprocessor(BasePo... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/textsnake_postprocessor.py | mmocr/models/textdet/postprocess/textsnake_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import torch
from skimage.morphology import skeletonize
from mmocr.models.builder import POSTPROCESSOR
from .base_postprocessor import BasePostprocessor
from .utils import centralize, fill_hole, merge_disks
@POSTPROCESSOR.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/textdet/postprocess/utils.py | mmocr/models/textdet/postprocess/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import functools
import operator
import cv2
import numpy as np
import pyclipper
from numpy.fft import ifft
from numpy.linalg import norm
from shapely.geometry import Polygon
from mmocr.core.evaluation.utils import boundary_iou
def filter_instance(area, confidence, min... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/__init__.py | mmocr/models/textdet/postprocess/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .base_postprocessor import BasePostprocessor
from .db_postprocessor import DBPostprocessor
from .drrg_postprocessor import DRRGPostprocessor
from .fce_postprocessor import FCEPostprocessor
from .pan_postprocessor import PANPostprocessor
from .pse_postprocessor import... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/fce_postprocessor.py | mmocr/models/textdet/postprocess/fce_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
from mmocr.models.builder import POSTPROCESSOR
from .base_postprocessor import BasePostprocessor
from .utils import fill_hole, fourier2poly, poly_nms
@POSTPROCESSOR.register_module()
class FCEPostprocessor(BasePostprocessor):
"""Decodi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/base_postprocessor.py | mmocr/models/textdet/postprocess/base_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
class BasePostprocessor:
def __init__(self, text_repr_type='poly'):
assert text_repr_type in ['poly', 'quad'
], f'Invalid text repr type {text_repr_type}'
self.text_repr_type = text_repr_type
def is_valid_inst... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/pse_postprocessor.py | mmocr/models/textdet/postprocess/pse_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import torch
from mmcv.ops import contour_expand
from mmocr.core import points2boundary
from mmocr.models.builder import POSTPROCESSOR
from .base_postprocessor import BasePostprocessor
@POSTPROCESSOR.register_module()
class PSEPostprocess... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/postprocess/pan_postprocessor.py | mmocr/models/textdet/postprocess/pan_postprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import torch
from mmcv.ops import pixel_group
from mmocr.core import points2boundary
from mmocr.models.builder import POSTPROCESSOR
from .base_postprocessor import BasePostprocessor
@POSTPROCESSOR.register_module()
class PANPostprocessor(B... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/db_head.py | mmocr/models/textdet/dense_heads/db_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch
import torch.nn as nn
from mmcv.runner import BaseModule, Sequential
from mmocr.models.builder import HEADS
from .head_mixin import HeadMixin
@HEADS.register_module()
class DBHead(HeadMixin, BaseModule):
"""The class for DBNet head.
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/textsnake_head.py | mmocr/models/textdet/dense_heads/textsnake_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.runner import BaseModule
from mmocr.models.builder import HEADS
from .head_mixin import HeadMixin
@HEADS.register_module()
class TextSnakeHead(HeadMixin, BaseModule):
"""The class for TextSnake head: TextSnake: A Fle... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/head_mixin.py | mmocr/models/textdet/dense_heads/head_mixin.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmocr.models.builder import HEADS, build_loss, build_postprocessor
from mmocr.utils import check_argument
@HEADS.register_module()
class HeadMixin:
"""Base head class for text detection, including loss calcalation and
postprocess.
A... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/drrg_head.py | mmocr/models/textdet/dense_heads/drrg_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.runner import BaseModule
from mmocr.models.builder import HEADS, build_loss
from mmocr.models.textdet.modules import GCN, LocalGraphs, ProposalLocalGraphs
fro... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/pse_head.py | mmocr/models/textdet/dense_heads/pse_head.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmocr.models.builder import HEADS
from . import PANHead
@HEADS.register_module()
class PSEHead(PANHead):
"""The class for PSENet head.
Args:
in_channels (list[int]): A list of 4 numbers of input channels.
out_channels (int): Number of outpu... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/pan_head.py | mmocr/models/textdet/dense_heads/pan_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import numpy as np
import torch
import torch.nn as nn
from mmcv.runner import BaseModule
from mmocr.models.builder import HEADS
from mmocr.utils import check_argument
from .head_mixin import HeadMixin
@HEADS.register_module()
class PANHead(HeadMixin, B... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/fce_head.py | mmocr/models/textdet/dense_heads/fce_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import torch.nn as nn
from mmcv.runner import BaseModule
from mmdet.core import multi_apply
from mmocr.models.builder import HEADS
from ..postprocess.utils import poly_nms
from .head_mixin import HeadMixin
@HEADS.register_module()
class FCEHead(HeadMix... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/dense_heads/__init__.py | mmocr/models/textdet/dense_heads/__init__.py | # Copyright (c) OpenMMLab. All rights reserved.
from .db_head import DBHead
from .drrg_head import DRRGHead
from .fce_head import FCEHead
from .head_mixin import HeadMixin
from .pan_head import PANHead
from .pse_head import PSEHead
from .textsnake_head import TextSnakeHead
__all__ = [
'PSEHead', 'PANHead', 'DBHead... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/losses/pse_loss.py | mmocr/models/textdet/losses/pse_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
from mmdet.core import BitmapMasks
from mmocr.models.builder import LOSSES
from mmocr.utils import check_argument
from . import PANLoss
@LOSSES.register_module()
class PSELoss(PANLoss):
r"""The class for implementing PSENet loss. This is partially adapted from
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/losses/drrg_loss.py | mmocr/models/textdet/losses/drrg_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmdet.core import BitmapMasks
from torch import nn
from mmocr.models.builder import LOSSES
from mmocr.utils import check_argument
@LOSSES.register_module()
class DRRGLoss(nn.Module):
"""The class for implementing DR... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/losses/db_loss.py | mmocr/models/textdet/losses/db_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from torch import nn
from mmocr.models.builder import LOSSES
from mmocr.models.common.losses.dice_loss import DiceLoss
@LOSSES.register_module()
class DBLoss(nn.Module):
"""The class for implementing DBNet loss.
Thi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/losses/pan_loss.py | mmocr/models/textdet/losses/pan_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import itertools
import warnings
import numpy as np
import torch
import torch.nn.functional as F
from mmdet.core import BitmapMasks
from torch import nn
from mmocr.models.builder import LOSSES
from mmocr.utils import check_argument
@LOSSES.register_module()
class PANL... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/mmocr/models/textdet/losses/fce_loss.py | mmocr/models/textdet/losses/fce_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
import torch.nn.functional as F
from mmdet.core import multi_apply
from torch import nn
from mmocr.models.builder import LOSSES
@LOSSES.register_module()
class FCELoss(nn.Module):
"""The class for implementing FCENet loss.
FCENe... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
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