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# 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. | |
# | |
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+") 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) | |