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| import os |
| import sys |
| sys.path.insert( |
| 0, |
| os.path.abspath( |
| os.path.join( |
| os.path.dirname( |
| os.path.abspath(__file__)), |
| '../../'))) |
|
|
| from deepdoc.vision.seeit import draw_box |
| from deepdoc.vision import OCR, init_in_out |
| import argparse |
| import numpy as np |
|
|
|
|
| def main(args): |
| ocr = OCR() |
| images, outputs = init_in_out(args) |
|
|
| for i, img in enumerate(images): |
| bxs = ocr(np.array(img)) |
| bxs = [(line[0], line[1][0]) for line in bxs] |
| bxs = [{ |
| "text": t, |
| "bbox": [b[0][0], b[0][1], b[1][0], b[-1][1]], |
| "type": "ocr", |
| "score": 1} for b, t in bxs if b[0][0] <= b[1][0] and b[0][1] <= b[-1][1]] |
| img = draw_box(images[i], bxs, ["ocr"], 1.) |
| img.save(outputs[i], quality=95) |
| with open(outputs[i] + ".txt", "w+", encoding='utf-8') as f: |
| f.write("\n".join([o["text"] for o in bxs])) |
|
|
|
|
| if __name__ == "__main__": |
| parser = argparse.ArgumentParser() |
| parser.add_argument('--inputs', |
| help="Directory where to store images or PDFs, or a file path to a single image or PDF", |
| required=True) |
| parser.add_argument('--output_dir', help="Directory where to store the output images. Default: './ocr_outputs'", |
| default="./ocr_outputs") |
| args = parser.parse_args() |
| main(args) |
|
|