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8207382 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 | # Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# 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 required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .._utils.cli import (
add_simple_inference_args,
get_subcommand_args,
perform_simple_inference,
str2bool,
)
from .base import PaddleXPipelineWrapper, PipelineCLISubcommandExecutor
from .utils import create_config_from_structure
class DocPreprocessor(PaddleXPipelineWrapper):
def __init__(
self,
doc_orientation_classify_model_name=None,
doc_orientation_classify_model_dir=None,
doc_unwarping_model_name=None,
doc_unwarping_model_dir=None,
use_doc_orientation_classify=None,
use_doc_unwarping=None,
**kwargs,
):
self._params = {
"doc_orientation_classify_model_name": doc_orientation_classify_model_name,
"doc_orientation_classify_model_dir": doc_orientation_classify_model_dir,
"doc_unwarping_model_name": doc_unwarping_model_name,
"doc_unwarping_model_dir": doc_unwarping_model_dir,
"use_doc_orientation_classify": use_doc_orientation_classify,
"use_doc_unwarping": use_doc_unwarping,
}
super().__init__(**kwargs)
@property
def _paddlex_pipeline_name(self):
return "doc_preprocessor"
def predict_iter(
self,
input,
*,
use_doc_orientation_classify=None,
use_doc_unwarping=None,
):
return self.paddlex_pipeline.predict(
input,
use_doc_orientation_classify=use_doc_orientation_classify,
use_doc_unwarping=use_doc_unwarping,
)
def predict(
self,
input,
*,
use_doc_orientation_classify=None,
use_doc_unwarping=None,
):
return list(
self.predict_iter(
input,
use_doc_orientation_classify=use_doc_orientation_classify,
use_doc_unwarping=use_doc_unwarping,
)
)
@classmethod
def get_cli_subcommand_executor(cls):
return DocPreprocessorCLISubcommandExecutor()
def _get_paddlex_config_overrides(self):
STRUCTURE = {
"SubModules.DocOrientationClassify.model_name": self._params[
"doc_orientation_classify_model_name"
],
"SubModules.DocOrientationClassify.model_dir": self._params[
"doc_orientation_classify_model_dir"
],
"SubModules.DocUnwarping.model_name": self._params[
"doc_unwarping_model_name"
],
"SubModules.DocUnwarping.model_dir": self._params[
"doc_unwarping_model_dir"
],
"use_doc_orientation_classify": self._params[
"use_doc_orientation_classify"
],
"use_doc_unwarping": self._params["use_doc_unwarping"],
}
return create_config_from_structure(STRUCTURE)
class DocPreprocessorCLISubcommandExecutor(PipelineCLISubcommandExecutor):
@property
def subparser_name(self):
return "doc_preprocessor"
def _update_subparser(self, subparser):
add_simple_inference_args(subparser)
subparser.add_argument(
"--doc_orientation_classify_model_name",
type=str,
help="Name of the document image orientation classification model.",
)
subparser.add_argument(
"--doc_orientation_classify_model_dir",
type=str,
help="Path to the document image orientation classification model directory.",
)
subparser.add_argument(
"--doc_unwarping_model_name",
type=str,
help="Name of the document image unwarping model.",
)
subparser.add_argument(
"--doc_unwarping_model_dir",
type=str,
help="Path to the document image unwarping model directory.",
)
subparser.add_argument(
"--use_doc_orientation_classify",
type=str2bool,
help="Whether to use document image orientation classification.",
)
subparser.add_argument(
"--use_doc_unwarping",
type=str2bool,
help="Whether to use text image unwarping.",
)
def execute_with_args(self, args):
params = get_subcommand_args(args)
perform_simple_inference(DocPreprocessor, params)
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