mirror of
https://github.com/infiniflow/ragflow.git
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57 lines
2.0 KiB
Python
57 lines
2.0 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import os
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import sys
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sys.path.insert(
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0,
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os.path.abspath(
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os.path.join(
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os.path.dirname(
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os.path.abspath(__file__)),
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'../../')))
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from deepdoc.vision.seeit import draw_box
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from deepdoc.vision import OCR, init_in_out
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import argparse
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import numpy as np
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def main(args):
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ocr = OCR()
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images, outputs = init_in_out(args)
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for i, img in enumerate(images):
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bxs = ocr(np.array(img))
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bxs = [(line[0], line[1][0]) for line in bxs]
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bxs = [{
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"text": t,
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"bbox": [b[0][0], b[0][1], b[1][0], b[-1][1]],
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"type": "ocr",
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"score": 1} for b, t in bxs if b[0][0] <= b[1][0] and b[0][1] <= b[-1][1]]
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img = draw_box(images[i], bxs, ["ocr"], 1.)
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img.save(outputs[i], quality=95)
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with open(outputs[i] + ".txt", "w+") as f:
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f.write("\n".join([o["text"] for o in bxs]))
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument('--inputs',
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help="Directory where to store images or PDFs, or a file path to a single image or PDF",
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required=True)
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parser.add_argument('--output_dir', help="Directory where to store the output images. Default: './ocr_outputs'",
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default="./ocr_outputs")
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args = parser.parse_args()
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main(args)
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