mirror of https://github.com/open-mmlab/mmocr.git
38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
|
|
from argparse import ArgumentParser
|
|
|
|
from mmdet.apis import init_detector
|
|
|
|
from mmocr.apis.inference import text_model_inference
|
|
|
|
from mmocr.datasets import build_dataset # NOQA
|
|
from mmocr.models import build_detector # NOQA
|
|
|
|
|
|
def main():
|
|
parser = ArgumentParser()
|
|
parser.add_argument('config', help='Config file.')
|
|
parser.add_argument('checkpoint', help='Checkpoint file.')
|
|
parser.add_argument(
|
|
'--device', default='cuda:0', help='Device used for inference.')
|
|
args = parser.parse_args()
|
|
|
|
# build the model from a config file and a checkpoint file
|
|
model = init_detector(args.config, args.checkpoint, device=args.device)
|
|
if model.cfg.data.test['type'] == 'ConcatDataset':
|
|
model.cfg.data.test.pipeline = model.cfg.data.test['datasets'][
|
|
0].pipeline
|
|
|
|
# test a single text
|
|
input_sentence = input('Please enter a sentence you want to test: ')
|
|
result = text_model_inference(model, input_sentence)
|
|
|
|
# show the results
|
|
for pred_entities in result:
|
|
for entity in pred_entities:
|
|
print(f'{entity[0]}: {input_sentence[entity[1]:entity[2] + 1]}')
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|