repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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WordArt | WordArt-main/configs/_base_/det_models/dbnet_r50dcnv2_fpnc.py | model = dict(
type='DBNet',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=False,
style='pytorch',
dcn=dict(type='DCNv2', defor... | 839 | 34 | 79 | py |
WordArt | WordArt-main/configs/_base_/det_models/psenet_r50_fpnf.py | model_poly = dict(
type='PSENet',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='SyncBN', requires_grad=True),
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'... | 1,509 | 28.038462 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/ocr_mask_rcnn_r50_fpn_ohem_poly.py | # model settings
model = dict(
type='OCRMaskRCNN',
text_repr_type='poly',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
init_... | 4,264 | 32.582677 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/drrg_r50_fpn_unet.py | model = dict(
type='DRRG',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='BN', requires_grad=True),
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'),
... | 689 | 30.363636 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/fcenet_r50_fpn.py | model = dict(
type='FCENet',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='BN', requires_grad=True),
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50'),
n... | 969 | 27.529412 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/panet_r50_fpem_ffm.py | model = dict(
type='PANet',
pretrained='torchvision://resnet50',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='caffe')... | 672 | 29.590909 | 76 | py |
WordArt | WordArt-main/configs/_base_/det_models/ocr_mask_rcnn_r50_fpn_ohem.py | # model settings
model = dict(
type='OCRMaskRCNN',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=1,
norm_cfg=dict(type='BN', requires_grad=True),
init_cfg=dict(type='Pretrained', checkpoint='torchvision... | 4,244 | 32.425197 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/dbnetpp_r50dcnv2_fpnc.py | model = dict(
type='DBNet',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=False,
style='pytorch',
dcn=dict(type='DCNv2', defor... | 961 | 32.172414 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/fcenet_r50dcnv2_fpn.py | model = dict(
type='FCENet',
backbone=dict(
type='mmdet.ResNet',
depth=50,
num_stages=4,
out_indices=(1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='BN', requires_grad=True),
norm_eval=True,
style='pytorch',
dcn=dict(type='DCNv2', deform_g... | 1,093 | 29.388889 | 78 | py |
WordArt | WordArt-main/configs/_base_/det_models/panet_r18_fpem_ffm.py | model_poly = dict(
type='PANet',
backbone=dict(
type='mmdet.ResNet',
depth=18,
num_stages=4,
out_indices=(0, 1, 2, 3),
frozen_stages=-1,
norm_cfg=dict(type='SyncBN', requires_grad=True),
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet18')... | 1,393 | 30.681818 | 78 | py |
WordArt | WordArt-main/docs/en/conf.py | # Copyright (c) OpenMMLab. All rights reserved.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup -----------------------... | 4,128 | 29.585185 | 79 | py |
WordArt | WordArt-main/docs/zh_cn/conf.py | # Copyright (c) OpenMMLab. All rights reserved.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup -----------------------... | 4,101 | 29.161765 | 79 | py |
WordArt | WordArt-main/mmocr/apis/inference.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import numpy as np
import torch
from mmcv.ops import RoIPool
from mmcv.parallel import collate, scatter
from mmcv.runner import load_checkpoint
from mmdet.core import get_classes
from mmdet.datasets import replace_ImageToTensor
from mmdet.data... | 8,081 | 32.8159 | 79 | py |
WordArt | WordArt-main/mmocr/apis/test.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import mmcv
import numpy as np
import torch
from mmcv.image import tensor2imgs
from mmcv.parallel import DataContainer
from mmdet.core import encode_mask_results
from .utils import tensor2grayimgs
def retrieve_img_tensor_and_meta(data):
"""Re... | 6,152 | 37.943038 | 78 | py |
WordArt | WordArt-main/mmocr/apis/utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import warnings
import mmcv
import numpy as np
import torch
from mmdet.datasets import replace_ImageToTensor
from mmocr.utils import is_2dlist, is_type_list
def update_pipeline(cfg, idx=None):
if idx is None:
if cfg.pipeline is not None:
... | 4,324 | 33.055118 | 79 | py |
WordArt | WordArt-main/mmocr/apis/train.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
import mmcv
import numpy as np
import torch
import torch.distributed as dist
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import (DistSamplerSeedHook, EpochBasedRunner,
Fp16OptimizerHook, Op... | 6,512 | 34.016129 | 79 | py |
WordArt | WordArt-main/mmocr/core/visualize.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import os
import shutil
import urllib
import warnings
import cv2
import mmcv
import numpy as np
import torch
from matplotlib import pyplot as plt
from PIL import Image, ImageDraw, ImageFont
import mmocr.utils as utils
def overlay_mask_img(img, mask):
"... | 30,432 | 33.232846 | 79 | py |
WordArt | WordArt-main/mmocr/core/evaluation/kie_metric.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
def compute_f1_score(preds, gts, ignores=[]):
"""Compute the F1-score of prediction.
Args:
preds (Tensor): The predicted probability NxC map
with N and C being the sample number and class
number respectively.
... | 1,033 | 34.655172 | 74 | py |
WordArt | WordArt-main/mmocr/core/deployment/deploy_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import warnings
from typing import Any, Iterable
import numpy as np
import torch
from mmdet.models.builder import DETECTORS
from mmocr.models.textdet.detectors.single_stage_text_detector import \
SingleStageTextDetector
from mmocr.models.textde... | 12,040 | 35.598784 | 79 | py |
WordArt | WordArt-main/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... | 4,452 | 28.104575 | 79 | py |
WordArt | WordArt-main/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... | 5,365 | 31.521212 | 76 | py |
WordArt | WordArt-main/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:
... | 6,586 | 38.208333 | 77 | py |
WordArt | WordArt-main/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... | 791 | 23.75 | 63 | py |
WordArt | WordArt-main/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... | 992 | 30.03125 | 71 | py |
WordArt | WordArt-main/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,
... | 21,543 | 40.67118 | 79 | py |
WordArt | WordArt-main/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... | 5,963 | 34.712575 | 78 | py |
WordArt | WordArt-main/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 ... | 1,584 | 36.738095 | 78 | py |
WordArt | WordArt-main/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,
... | 7,269 | 35.903553 | 77 | py |
WordArt | WordArt-main/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... | 1,374 | 31.738095 | 77 | py |
WordArt | WordArt-main/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... | 19,532 | 39.191358 | 80 | py |
WordArt | WordArt-main/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... | 943 | 27.606061 | 80 | py |
WordArt | WordArt-main/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... | 2,281 | 39.035088 | 73 | py |
WordArt | WordArt-main/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 ... | 2,272 | 38.877193 | 73 | py |
WordArt | WordArt-main/mmocr/models/textdet/modules/local_graph.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmcv.ops import RoIAlignRotated
from .utils import (euclidean_distance_matrix, feature_embedding,
normalize_adjacent_matrix)
class LocalGraphs:
"""Generate local graphs for GCN to classify the neighbors of a ... | 13,094 | 42.942953 | 79 | py |
WordArt | WordArt-main/mmocr/models/textdet/modules/proposal_local_graph.py | # Copyright (c) OpenMMLab. All rights reserved.
import cv2
import numpy as np
import torch
from lanms import merge_quadrangle_n9 as la_nms
from mmcv.ops import RoIAlignRotated
from mmocr.models.textdet.postprocess.utils import fill_hole
from .utils import (euclidean_distance_matrix, feature_embedding,
... | 18,637 | 43.910843 | 79 | py |
WordArt | WordArt-main/mmocr/models/textdet/modules/gcn.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
class MeanAggregator(nn.Module):
def forward(self, features, A):
x = torch.bmm(A, features)
return x
class GraphConv(nn.Module):
def __init__(self, i... | 2,432 | 30.597403 | 78 | py |
WordArt | WordArt-main/mmocr/models/textdet/detectors/single_stage_text_detector.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmocr.models.builder import DETECTORS
from mmocr.models.common.detectors import SingleStageDetector
@DETECTORS.register_module()
class SingleStageTextDetector(SingleStageDetector):
"""The class for implementing single stage text detector."""
... | 2,159 | 33.83871 | 79 | py |
WordArt | WordArt-main/mmocr/models/textdet/necks/fpem_ffm.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch.nn.functional as F
from mmcv.runner import BaseModule, ModuleList
from torch import nn
from mmocr.models.builder import NECKS
class FPEM(BaseModule):
"""FPN-like feature fusion module in PANet.
Args:
in_channels (int): Number of input chan... | 5,999 | 33.482759 | 79 | py |
WordArt | WordArt-main/mmocr/models/textdet/necks/fpn_unet.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn.functional as F
from mmcv.runner import BaseModule
from torch import nn
from mmocr.models.builder import NECKS
class UpBlock(BaseModule):
"""Upsample block for DRRG and TextSnake."""
def __init__(self, in_channels, out_channels, in... | 3,629 | 32.611111 | 79 | py |
WordArt | WordArt-main/mmocr/models/textdet/necks/fpnf.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, auto_fp16
from mmocr.models.builder import NECKS
@NECKS.register_module()
class FPNF(BaseModule):
"""FPN-like fusion module in Shape Robust ... | 4,264 | 32.062016 | 77 | py |
WordArt | WordArt-main/mmocr/models/textdet/necks/fpn_cat.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
import torch.nn as nn
import torch.nn.functional as F
from mmcv.cnn import ConvModule
from mmcv.runner import BaseModule, ModuleList, Sequential, auto_fp16
from mmocr.models.builder import NECKS
@NECKS.register_module()
class FPNC(BaseModule):
"""FPN-l... | 9,362 | 33.422794 | 79 | py |
WordArt | WordArt-main/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... | 3,375 | 38.255814 | 77 | py |
WordArt | WordArt-main/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(... | 4,812 | 40.491379 | 79 | py |
WordArt | WordArt-main/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... | 3,190 | 34.853933 | 79 | py |
WordArt | WordArt-main/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... | 10,664 | 40.337209 | 79 | py |
WordArt | WordArt-main/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.
... | 3,549 | 35.979167 | 79 | py |
WordArt | WordArt-main/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... | 3,087 | 32.934066 | 75 | py |
WordArt | WordArt-main/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... | 2,898 | 34.353659 | 77 | py |
WordArt | WordArt-main/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... | 5,269 | 34.133333 | 79 | py |
WordArt | WordArt-main/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... | 7,914 | 37.052885 | 79 | py |
WordArt | WordArt-main/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... | 10,071 | 38.653543 | 79 | py |
WordArt | WordArt-main/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... | 6,082 | 35.644578 | 78 | py |
WordArt | WordArt-main/mmocr/models/textdet/losses/textsnake_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 TextSnakeLoss(nn.Module):
"""The class for implementi... | 7,876 | 38.189055 | 78 | py |
WordArt | WordArt-main/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... | 12,782 | 37.272455 | 79 | py |
WordArt | WordArt-main/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... | 6,302 | 35.645349 | 79 | py |
WordArt | WordArt-main/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)... | 6,223 | 36.047619 | 79 | py |
WordArt | WordArt-main/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 ... | 6,765 | 36.175824 | 79 | py |
WordArt | WordArt-main/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... | 6,412 | 38.832298 | 79 | py |
WordArt | WordArt-main/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... | 2,360 | 32.253521 | 72 | py |
WordArt | WordArt-main/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... | 7,394 | 36.923077 | 79 | py |
WordArt | WordArt-main/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... | 8,603 | 35.151261 | 79 | py |
WordArt | WordArt-main/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... | 6,451 | 35.247191 | 78 | py |
WordArt | WordArt-main/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... | 18,713 | 38.068894 | 78 | py |
WordArt | WordArt-main/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... | 7,670 | 34.027397 | 79 | py |
WordArt | WordArt-main/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... | 7,056 | 34.109453 | 78 | py |
WordArt | WordArt-main/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:
... | 5,469 | 32.558282 | 79 | py |
WordArt | WordArt-main/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... | 3,173 | 35.068182 | 78 | py |
WordArt | WordArt-main/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... | 561 | 24.545455 | 60 | py |
WordArt | WordArt-main/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,
... | 1,052 | 27.459459 | 74 | py |
WordArt | WordArt-main/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=... | 5,409 | 31.202381 | 79 | py |
WordArt | WordArt-main/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 ... | 671 | 25.88 | 67 | py |
WordArt | WordArt-main/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... | 782 | 26 | 71 | py |
WordArt | WordArt-main/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... | 5,692 | 31.718391 | 79 | py |
WordArt | WordArt-main/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... | 5,745 | 30.398907 | 78 | py |
WordArt | WordArt-main/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 ... | 3,789 | 32.839286 | 76 | py |
WordArt | WordArt-main/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... | 3,034 | 33.885057 | 78 | py |
WordArt | WordArt-main/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_... | 1,140 | 29.026316 | 74 | py |
WordArt | WordArt-main/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... | 2,887 | 31.818182 | 78 | py |
WordArt | WordArt-main/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(... | 3,387 | 34.291667 | 92 | py |
WordArt | WordArt-main/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... | 4,746 | 35.79845 | 79 | py |
WordArt | WordArt-main/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... | 5,414 | 36.089041 | 78 | py |
WordArt | WordArt-main/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... | 2,718 | 38.405797 | 77 | py |
WordArt | WordArt-main/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... | 4,455 | 33.8125 | 78 | py |
WordArt | WordArt-main/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.
... | 5,244 | 35.678322 | 78 | py |
WordArt | WordArt-main/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... | 6,517 | 33.125654 | 79 | py |
WordArt | WordArt-main/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... | 8,426 | 35.167382 | 79 | py |
WordArt | WordArt-main/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... | 6,121 | 32.271739 | 79 | py |
WordArt | WordArt-main/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... | 6,505 | 32.709845 | 79 | py |
WordArt | WordArt-main/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... | 4,790 | 30.728477 | 79 | py |
WordArt | WordArt-main/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... | 1,705 | 31.807692 | 78 | py |
WordArt | WordArt-main/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... | 2,499 | 33.246575 | 109 | py |
WordArt | WordArt-main/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... | 11,877 | 42.036232 | 79 | py |
WordArt | WordArt-main/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... | 3,867 | 36.192308 | 79 | py |
WordArt | WordArt-main/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... | 4,660 | 33.783582 | 79 | py |
WordArt | WordArt-main/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... | 5,938 | 35.660494 | 80 | py |
WordArt | WordArt-main/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.
... | 4,376 | 38.790909 | 79 | py |
WordArt | WordArt-main/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... | 2,507 | 29.962963 | 76 | py |
WordArt | WordArt-main/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... | 4,405 | 35.114754 | 79 | py |
WordArt | WordArt-main/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=[
... | 1,418 | 23.894737 | 64 | py |
WordArt | WordArt-main/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... | 2,000 | 27.585714 | 75 | py |
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