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
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xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/test.py | tools/test.py | #!/usr/bin/env python
# Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import warnings
import mmcv
import torch
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import (get_dist_info, init... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/det_test_imgs.py | tools/det_test_imgs.py | #!/usr/bin/env python
# Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
from argparse import ArgumentParser
import mmcv
from mmcv.utils import ProgressBar
from mmocr.apis import init_detector, model_inference
from mmocr.models import build_detector # noqa: F401
from mmocr.utils import list_from_f... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/misc/print_config.py | tools/misc/print_config.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import warnings
from mmcv import Config, DictAction
def parse_args():
parser = argparse.ArgumentParser(description='Print the whole config')
parser.add_argument('config', help='config file path')
parser.add_argument(
'--options',
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/detext_converter.py | tools/data/textrecog/detext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import os.path as osp
import mmcv
import numpy as np
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir):
"""Collect all images and their correspond... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/imgur_converter.py | tools/data/textrecog/imgur_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os
import os.path as osp
import mmcv
import numpy as np
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = argparse.ArgumentParser(
descri... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/totaltext_converter.py | tools/data/textrecog/totaltext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os
import os.path as osp
import re
import mmcv
import numpy as np
import scipy.io as scio
import yaml
from shapely.geometry import Polygon
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/ic13_converter.py | tools/data/textrecog/ic13_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
from mmocr.utils.fileio import list_to_file
def convert_annotations(root_path, split, format):
"""Convert original annotations to mmocr format
The annotation format is as the following:
word_1.png, "flyi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/lsvt_converter.py | tools/data/textrecog/lsvt_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os.path as osp
from functools import partial
import mmcv
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of LSV... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/seg_synthtext_converter.py | tools/data/textrecog/seg_synthtext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
import cv2
from mmocr.utils import list_from_file, list_to_file
def parse_old_label(data_root, in_path, img_size=False):
imgid2imgname = {}
imgid2anno = {}
idx = 0
for line in list_from_file(in_path):
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/kaist_converter.py | tools/data/textrecog/kaist_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir, ratio):
"""Coll... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/rects_converter.py | tools/data/textrecog/rects_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os
import os.path as osp
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir, ratio):
"""Collect all images and their correspond... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/hiertext_converter.py | tools/data/textrecog/hiertext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os.path as osp
from functools import partial
import mmcv
import numpy as np
from shapely.geometry import Polygon
from mmocr.utils.fileio import list_to_file
def seg2bbox(seg):
"""Convert segmentation to bbox.
Arg... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/rctw_converter.py | tools/data/textrecog/rctw_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os
import os.path as osp
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir, ratio):
"""Collect all images and their correspond... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/funsd_converter.py | tools/data/textrecog/funsd_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os
import os.path as osp
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding gro... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/sroie_converter.py | tools/data/textrecog/sroie_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import os.path as osp
import mmcv
import numpy as np
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir):
"""Collect all images and their correspond... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/ic11_converter.py | tools/data/textrecog/ic11_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
from mmocr.utils.fileio import list_to_file
def convert_annotations(root_path, split, format):
"""Convert original annotations to mmocr format.
The annotation format is as the following:
word_1.png, "fl... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/bid_converter.py | tools/data/textrecog/bid_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import os.path as osp
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth fil... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/naf_converter.py | tools/data/textrecog/naf_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
import mmcv
import numpy as np
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir, split_info):
"""Collect all images and their correspo... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/vintext_converter.py | tools/data/textrecog/vintext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import os.path as osp
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth fil... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/ilst_converter.py | tools/data/textrecog/ilst_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir):
"""Collect all images and ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/mtwi_converter.py | tools/data/textrecog/mtwi_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os
import os.path as osp
import cv2
import mmcv
from PIL import Image
from mmocr.datasets.pipelines.crop import crop_img
from mmocr.utils.fileio import list_to_file
def collect_files(img_dir, gt_dir, ratio):
"""Collec... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/svt_converter.py | tools/data/textrecog/svt_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import xml.etree.ElementTree as ET
import cv2
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = argparse.ArgumentParser(
description='Generate testset of svt by cropping box image.')
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/textocr_converter.py | tools/data/textrecog/textocr_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
from functools import partial
import mmcv
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of TextO... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/cocotext_converter.py | tools/data/textrecog/cocotext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os.path as osp
from functools import partial
import mmcv
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of COC... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/openvino_converter.py | tools/data/textrecog/openvino_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import os
import os.path as osp
from argparse import ArgumentParser
from functools import partial
import mmcv
from PIL import Image
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = ArgumentParser(description='Generate training and... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/synthtext_converter.py | tools/data/textrecog/synthtext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
from functools import partial
import mmcv
import numpy as np
from scipy.io import loadmat
def parse_args():
parser = argparse.ArgumentParser(
description='Crop images in Synthtext-style dataset in '
'prepration for MMOCR\'s... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/lv_converter.py | tools/data/textrecog/lv_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
from mmocr.utils.fileio import list_to_file
def convert_annotations(root_path, split, format):
"""Convert original annotations to mmocr format.
The annotation format is as the following:
Crops/val/11/1/... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textrecog/art_converter.py | tools/data/textrecog/art_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import math
import os.path as osp
import mmcv
from mmocr.utils.fileio import list_to_file
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of ArT ')
parser.add_argument('r... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/utils/lmdb_converter.py | tools/data/utils/lmdb_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
from mmocr.utils import recog2lmdb
def main():
parser = argparse.ArgumentParser()
parser.add_argument('label_path', type=str, help='Path to label file')
parser.add_argument('output', type=str, help='Output lmdb path')
parser.add_argument... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/common/extract_kaist.py | tools/data/common/extract_kaist.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import shutil
import xml.etree.ElementTree as ET
import zipfile
from xml.etree.ElementTree import ParseError
def extract(root_path):
idx = 0
for language in ['English', 'Korean', 'Mixed']:
for camera in ['D... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/common/curvedsyntext_converter.py | tools/data/common/curvedsyntext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
from functools import partial
import mmcv
import numpy as np
from mmocr.utils import bezier_to_polygon, sort_points
# The default dictionary used by CurvedSynthText
dict95 = [
' ', '!', '"', '#', '$', '%', '&', '\'', '(', ')', ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/common/labelme_converter.py | tools/data/common/labelme_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import json
import os.path as osp
import warnings
from functools import partial
import mmcv
from mmocr.datasets.pipelines.crop import crop_img, warp_img
from mmocr.utils import list_to_file
def parse_labelme_json(json_file,
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/kie/closeset_to_openset.py | tools/data/kie/closeset_to_openset.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
from functools import partial
import mmcv
from mmocr.utils import list_from_file, list_to_file
def convert(closeset_line, merge_bg_others=False, ignore_idx=0, others_idx=25):
"""Convert line-json str of closeset to line-json str of open... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/detext_converter.py | tools/data/textdet/detext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import mmcv
import numpy as np
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The im... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/imgur_converter.py | tools/data/textdet/imgur_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os.path as osp
import mmcv
import numpy as np
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training, validation and test set of IMGUR ')
parser.... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/totaltext_converter.py | tools/data/textdet/totaltext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os
import os.path as osp
import re
import cv2
import mmcv
import numpy as np
import scipy.io as scio
import yaml
from shapely.geometry import Polygon
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/ic13_converter.py | tools/data/textdet/ic13_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir, split):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The image director... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/lsvt_converter.py | tools/data/textdet/lsvt_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of LSVT ')
parser.add_argument('root_path', ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/kaist_converter.py | tools/data/textdet/kaist_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir, ratio):
"""Collect all images and their corresponding groundtruth files.
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/rects_converter.py | tools/data/textdet/rects_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir, ratio):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The ima... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/hiertext_converter.py | tools/data/textdet/hiertext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
import numpy as np
from shapely.geometry import Polygon
from mmocr.utils import convert_annotations
def collect_level_info(annotation):
"""Collect information from any level in HierText.
Args:
annotati... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/rctw_converter.py | tools/data/textdet/rctw_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir, ratio):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The ima... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/ctw1500_converter.py | tools/data/textdet/ctw1500_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os.path as osp
import xml.etree.ElementTree as ET
from functools import partial
import mmcv
import numpy as np
from shapely.geometry import Polygon
from mmocr.utils import convert_annotations, list_from_file
def collect_files(img_dir... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/funsd_converter.py | tools/data/textdet/funsd_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The image dir... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/sroie_converter.py | tools/data/textdet/sroie_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import mmcv
import numpy as np
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The im... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/ic11_converter.py | tools/data/textdet/ic11_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import mmcv
from PIL import Image
from mmocr.utils import convert_annotations
def convert_gif(img_path):
"""Convert the gif image to png format.
Args:
img_path (str): The path to the gif image
"""
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/bid_converter.py | tools/data/textdet/bid_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The image directory
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/naf_converter.py | tools/data/textdet/naf_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir, split_info):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The image directory
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/vintext_converter.py | tools/data/textdet/vintext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
img_dir (str): The image directory
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/ilst_converter.py | tools/data/textdet/ilst_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
img_d... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/mtwi_converter.py | tools/data/textdet/mtwi_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os
import os.path as osp
import cv2
import mmcv
from PIL import Image
from mmocr.utils import convert_annotations
def collect_files(img_dir, gt_dir, ratio):
"""Collect all images and their corresponding groundtruth files.
Arg... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/textocr_converter.py | tools/data/textdet/textocr_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of TextOCR ')
parser.add_argument('root_path... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/cocotext_converter.py | tools/data/textdet/cocotext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of COCO Text v2 ')
parser.add_argument('root... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/synthtext_converter.py | tools/data/textdet/synthtext_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import os.path as osp
import time
import lmdb
import mmcv
import numpy as np
from scipy.io import loadmat
from shapely.geometry import Polygon
from mmocr.utils import check_argument
def trace_boundary(char_boxes):
"""Trace the boundary ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/icdar_converter.py | tools/data/textdet/icdar_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import glob
import os.path as osp
from functools import partial
import mmcv
import numpy as np
from shapely.geometry import Polygon
from mmocr.utils import convert_annotations, list_from_file
def collect_files(img_dir, gt_dir):
"""Collect all image... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/lv_converter.py | tools/data/textdet/lv_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import xml.etree.ElementTree as ET
import mmcv
from mmocr.utils import convert_annotations
def collect_files(data_dir):
"""Collect all images and their corresponding groundtruth files.
Args:
data_dir (st... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/art_converter.py | tools/data/textdet/art_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import math
import os.path as osp
import mmcv
from mmocr.utils import convert_annotations
def parse_args():
parser = argparse.ArgumentParser(
description='Generate training and validation set of ArT ')
parser.add_argument('root_path', h... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/data/textdet/coco_to_line_dict.py | tools/data/textdet/coco_to_line_dict.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import json
import mmcv
from mmocr.utils import list_to_file
def parse_coco_json(in_path):
json_obj = mmcv.load(in_path)
image_infos = json_obj['images']
annotations = json_obj['annotations']
imgid2imgname = {}
img_ids = []
for ... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/deployment/deploy_test.py | tools/deployment/deploy_test.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import warnings
from mmcv import Config
from mmcv.parallel import MMDataParallel
from mmcv.runner import get_dist_info
from mmdet.apis import single_gpu_test
from mmocr.apis.inference import disable_text_recog_aug_test
from mmocr.core.deployment import (... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/deployment/onnx2tensorrt.py | tools/deployment/onnx2tensorrt.py | # Copyright (c) OpenMMLab. All rights reserved.
import argparse
import os
import os.path as osp
import warnings
from typing import Iterable
import cv2
import mmcv
import numpy as np
import torch
from mmcv.parallel import collate
from mmcv.tensorrt import is_tensorrt_plugin_loaded, onnx2trt, save_trt_engine
from mmdet.... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/deployment/pytorch2onnx.py | tools/deployment/pytorch2onnx.py | # Copyright (c) OpenMMLab. All rights reserved.
import warnings
from argparse import ArgumentParser
from functools import partial
import cv2
import numpy as np
import torch
from mmcv.onnx import register_extra_symbolics
from mmcv.parallel import collate
from mmdet.datasets import replace_ImageToTensor
from mmdet.datas... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/deployment/mmocr_handler.py | tools/deployment/mmocr_handler.py | # Copyright (c) OpenMMLab. All rights reserved.
import base64
import os
import mmcv
import torch
from ts.torch_handler.base_handler import BaseHandler
from mmocr.apis import init_detector, model_inference
from mmocr.datasets.pipelines import * # NOQA
class MMOCRHandler(BaseHandler):
threshold = 0.5
def in... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/deployment/test_torchserve.py | tools/deployment/test_torchserve.py | # Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser
import numpy as np
import requests
from mmocr.apis import init_detector, model_inference
def parse_args():
parser = ArgumentParser()
parser.add_argument('img', help='Image file')
parser.add_argument('config', help='Confi... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tools/deployment/mmocr2torchserve.py | tools/deployment/mmocr2torchserve.py | # Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser, Namespace
from pathlib import Path
from tempfile import TemporaryDirectory
import mmcv
try:
from model_archiver.model_packaging import package_model
from model_archiver.model_packaging_utils import ModelExportUtils
except Imp... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_tools/test_data_converter.py | tests/test_tools/test_data_converter.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Test orientation check and ignore method."""
import shutil
import tempfile
from mmocr.utils import drop_orientation
def test_drop_orientation():
img_file = 'tests/data/test_img2.jpg'
output_file = drop_orientation(img_file)
assert output_file is img_fil... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_core/test_deploy_utils.py | tests/test_core/test_deploy_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
import tempfile
from functools import partial
import mmcv
import numpy as np
import pytest
import torch
from packaging import version
from mmocr.core.deployment import (ONNXRuntimeDetector, ONNXRuntimeRecognizer,
TensorRTDetector, Tens... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_core/test_end2end_vis.py | tests/test_core/test_end2end_vis.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
from mmocr.core import det_recog_show_result
def test_det_recog_show_result():
img = np.ones((100, 100, 3), dtype=np.uint8) * 255
det_recog_res = {
'result': [{
'box': [51, 88, 51, 62, 85, 62, 85, 88],
'box_sco... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_loader.py | tests/test_dataset/test_loader.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os.path as osp
import tempfile
import pytest
from mmocr.datasets.utils.backend import (HardDiskAnnFileBackend,
HTTPAnnFileBackend,
PetrelAnnFileBackend)
from mmocr.dat... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_crop.py | tests/test_dataset/test_crop.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
from itertools import chain, permutations
import numpy as np
import pytest
from mmocr.datasets.pipelines.box_utils import sort_vertex, sort_vertex8
from mmocr.datasets.pipelines.crop import box_jitter, crop_img, warp_img
def test_order_vertex():
dummy_... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_test_time_aug.py | tests/test_dataset/test_test_time_aug.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import pytest
from mmocr.datasets.pipelines.test_time_aug import MultiRotateAugOCR
def test_resize_ocr():
input_img1 = np.ones((64, 256, 3), dtype=np.uint8)
input_img2 = np.ones((64, 32, 3), dtype=np.uint8)
rci = MultiRotateAugOCR(transf... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_textdet_targets.py | tests/test_dataset/test_textdet_targets.py | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import mock
import numpy as np
from mmdet.core import PolygonMasks
import mmocr.datasets.pipelines.custom_format_bundle as cf_bundle
import mmocr.datasets.pipelines.textdet_targets as textdet_targets
@mock.patch('%s.cf_bundle.show_feature' % __name__)
de... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_dbnet_transforms.py | tests/test_dataset/test_dbnet_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import imgaug
import numpy as np
from shapely.geometry import Polygon
import mmocr.datasets.pipelines.dbnet_transforms as transforms
def test_imgaug():
args = [dict(cls='Affine', translate_px=dict(x=-10, y=-10))]
imgaug_transform = transforms.ImgAug(args, clip_... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_ocr_seg_target.py | tests/test_dataset/test_ocr_seg_target.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import numpy as np
import pytest
from mmocr.datasets.pipelines.ocr_seg_targets import OCRSegTargets
def _create_dummy_dict_file(dict_file):
chars = list('0123456789')
with open(dict_file, 'w') as fw:
for char in ch... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_parser.py | tests/test_dataset/test_parser.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import pytest
from mmocr.datasets.utils.parser import LineJsonParser, LineStrParser
def test_line_str_parser():
data_ret = ['sample1.jpg hello\n', 'sample2.jpg world']
keys = ['filename', 'text']
keys_idx = [0, 1]
separator = ' '
# tes... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_loading.py | tests/test_dataset/test_loading.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import numpy as np
from mmocr.datasets.pipelines import LoadImageFromNdarray, LoadTextAnnotations
def _create_dummy_ann():
results = {}
results['img_info'] = {}
results['img_info']['height'] = 1000
results['img_info']['width'] = 1000
re... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_ocr_dataset.py | tests/test_dataset/test_ocr_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import os.path as osp
import tempfile
from mmocr.datasets.ocr_dataset import OCRDataset
def _create_dummy_ann_file(ann_file):
ann_info1 = 'sample1.jpg hello'
ann_info2 = 'sample2.jpg world'
with open(ann_file, 'w') as fw:
for ann_info i... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_uniform_concat_dataset.py | tests/test_dataset/test_uniform_concat_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import pytest
from mmdet.datasets import DATASETS
from mmocr.datasets import UniformConcatDataset
from mmocr.utils import list_from_file
def test_uniform_concat_dataset_pipeline():
pipeline1 = [dict(type='LoadImageFromFile')]
pipeline2 = [dict(type... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_detect_dataset.py | tests/test_dataset/test_detect_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os.path as osp
import tempfile
import numpy as np
from mmocr.datasets.text_det_dataset import TextDetDataset
def _create_dummy_ann_file(ann_file):
ann_info1 = {
'file_name':
'sample1.jpg',
'height':
640,
'... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_ner_dataset.py | tests/test_dataset/test_ner_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import os.path as osp
import tempfile
import torch
from mmocr.datasets.ner_dataset import NerDataset
from mmocr.models.ner.convertors.ner_convertor import NerConvertor
from mmocr.utils import list_to_file
def _create_dummy_ann_file(ann_file):
data = {
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_icdar_dataset.py | tests/test_dataset/test_icdar_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import mmcv
import numpy as np
from mmocr.datasets.icdar_dataset import IcdarDataset
def _create_dummy_icdar_json(json_name):
image_1 = {
'id': 0,
'width': 640,
'height': 640,
'file_name': 'fake... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_transform_wrappers.py | tests/test_dataset/test_transform_wrappers.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import unittest.mock as mock
import numpy as np
import pytest
from mmocr.datasets.pipelines import (OneOfWrapper, RandomWrapper,
TorchVisionWrapper)
from mmocr.datasets.pipelines.transforms import ColorJitter
def test_... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_transforms.py | tests/test_dataset/test_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
import unittest.mock as mock
import numpy as np
import pytest
import torchvision.transforms as TF
from mmdet.core import BitmapMasks, PolygonMasks
from PIL import Image
import mmocr.datasets.pipelines.transforms as transforms
@mock.patch('%s.transforms.np.... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_openset_kie_dataset.py | tests/test_dataset/test_openset_kie_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import math
import os.path as osp
import tempfile
import torch
from mmocr.datasets.openset_kie_dataset import OpensetKIEDataset
from mmocr.utils import list_to_file
def _create_dummy_ann_file(ann_file):
ann_info1 = {
'file_name':
'1.png... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_kie_dataset.py | tests/test_dataset/test_kie_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import math
import os.path as osp
import tempfile
import pytest
import torch
from mmocr.datasets.kie_dataset import KIEDataset
def _create_dummy_ann_file(ann_file):
ann_info1 = {
'file_name':
'sample1.png',
'height':
200... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_ocr_seg_dataset.py | tests/test_dataset/test_ocr_seg_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import json
import math
import os.path as osp
import tempfile
import pytest
from mmocr.datasets.ocr_seg_dataset import OCRSegDataset
def _create_dummy_ann_file(ann_file):
ann_info1 = {
'file_name':
'sample1.png',
'annotations': [{
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_base_dataset.py | tests/test_dataset/test_base_dataset.py | # Copyright (c) OpenMMLab. All rights reserved.
import os.path as osp
import tempfile
import numpy as np
import pytest
from mmocr.datasets.base_dataset import BaseDataset
def _create_dummy_ann_file(ann_file):
ann_info1 = 'sample1.jpg hello'
ann_info2 = 'sample2.jpg world'
with open(ann_file, 'w') as fw... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_dataset/test_ocr_transforms.py | tests/test_dataset/test_ocr_transforms.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import unittest.mock as mock
import numpy as np
import torch
import torchvision.transforms.functional as TF
from PIL import Image
import mmocr.datasets.pipelines.ocr_transforms as transforms
def test_resize_ocr():
input_img = np.ones((64, 256, 3), dtyp... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_metrics/test_eval_utils.py | tests/test_metrics/test_eval_utils.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Tests the utils of evaluation."""
import numpy as np
import pytest
from shapely.geometry import MultiPolygon, Polygon
import mmocr.core.evaluation.utils as utils
def test_ignore_pred():
# test invalid arguments
box = [0, 0, 1, 0, 1, 1, 0, 1]
det_boxes =... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_metrics/test_hmean_detect.py | tests/test_metrics/test_hmean_detect.py | # Copyright (c) OpenMMLab. All rights reserved.
import tempfile
import numpy as np
import pytest
from mmocr.core.evaluation.hmean import (eval_hmean, get_gt_masks,
output_ranklist)
def _create_dummy_ann_infos():
ann_infos = {
'bboxes': np.array([[50., 70., 80., 1... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_metrics/test_hmean_iou.py | tests/test_metrics/test_hmean_iou.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Test hmean_iou."""
import pytest
import mmocr.core.evaluation.hmean_iou as hmean_iou
def test_eval_hmean_iou():
pred_boxes = []
gt_boxes = []
gt_ignored_boxes = []
iou_thr = 0.5
precision_thr = 0.5
# test invalid arguments.
with pytest... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_metrics/test_hmean_ic13.py | tests/test_metrics/test_hmean_ic13.py | # Copyright (c) OpenMMLab. All rights reserved.
"""Test hmean_ic13."""
import math
import pytest
import mmocr.core.evaluation.hmean_ic13 as hmean_ic13
import mmocr.core.evaluation.utils as utils
def test_compute_recall_precision():
gt_polys = []
det_polys = []
# test invalid arguments.
with pytest... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_textdet_neck.py | tests/test_models/test_textdet_neck.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmocr.models.textdet.necks import FPNC, FPN_UNet
def test_fpnc():
in_channels = [64, 128, 256, 512]
size = [112, 56, 28, 14]
asf_cfgs = [
None,
dict(attention_type='ScaleChannelSpatial'),
]
for flag i... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_encoder.py | tests/test_models/test_ocr_encoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmocr.models.textrecog.encoders import (ABIVisionModel, BaseEncoder,
NRTREncoder, SAREncoder,
SatrnEncoder, TransformerEncoder)
def test_sar_encode... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_decoder.py | tests/test_models/test_ocr_decoder.py | # Copyright (c) OpenMMLab. All rights reserved.
import math
import pytest
import torch
from mmocr.models.textrecog.decoders import (ABILanguageDecoder,
ABIVisionDecoder, BaseDecoder,
MasterDecoder, NRTRDecoder,
... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_preprocessor.py | tests/test_models/test_ocr_preprocessor.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmocr.models.textrecog.preprocessor import (BasePreprocessor,
TPSPreprocessor)
def test_tps_preprocessor():
with pytest.raises(AssertionError):
TPSPreprocessor(num_fiducial=-1)... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_loss.py | tests/test_models/test_loss.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmdet.core import BitmapMasks
import mmocr.models.textdet.losses as losses
def test_panloss():
panloss = losses.PANLoss()
# test bitmasks2tensor
mask = [[1, 0, 1], [1, 1, 1], [0, 0, 1]]
target = [[1, 0, 1, 0, 0], [1... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_head.py | tests/test_models/test_ocr_head.py | # Copyright (c) OpenMMLab. All rights reserved.
import pytest
import torch
from mmocr.models.textrecog import SegHead
def test_seg_head():
with pytest.raises(AssertionError):
SegHead(num_classes='100')
with pytest.raises(AssertionError):
SegHead(num_classes=-1)
seg_head = SegHead(num_cla... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_recog_config.py | tests/test_models/test_recog_config.py | # Copyright (c) OpenMMLab. All rights reserved.
import copy
from os.path import dirname, exists, join
import numpy as np
import pytest
import torch
def _demo_mm_inputs(num_kernels=0, input_shape=(1, 3, 300, 300),
num_items=None): # yapf: disable
"""Create a superset of inputs needed to run t... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_ocr_fuser.py | tests/test_models/test_ocr_fuser.py | # Copyright (c) OpenMMLab. All rights reserved.
import torch
from mmocr.models.textrecog.fusers import ABIFuser
def test_base_alignment():
model = ABIFuser(d_model=512, num_chars=90, max_seq_len=40)
l_feat = torch.randn(1, 40, 512)
v_feat = torch.randn(1, 40, 512)
result = model(l_feat, v_feat)
a... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
xdxie/WordArt | https://github.com/xdxie/WordArt/blob/89bf8a218881b250d0ead7a0287526c69586c92a/tests/test_models/test_modules.py | tests/test_models/test_modules.py | # Copyright (c) OpenMMLab. All rights reserved.
import numpy as np
import torch
from mmocr.models.textdet.modules import GCN, LocalGraphs, ProposalLocalGraphs
from mmocr.models.textdet.modules.utils import (feature_embedding,
normalize_adjacent_matrix)
def test_local_g... | python | Apache-2.0 | 89bf8a218881b250d0ead7a0287526c69586c92a | 2026-01-05T07:11:30.009719Z | false |
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