mirror of https://github.com/open-mmlab/mmocr.git
32 lines
1018 B
Python
32 lines
1018 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from argparse import ArgumentParser
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from mmocr.apis import init_detector
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from mmocr.apis.inference import text_model_inference
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from mmocr.registry import DATASETS # NOQA
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def main():
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parser = ArgumentParser()
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parser.add_argument('config', help='Config file.')
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parser.add_argument('checkpoint', help='Checkpoint file.')
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parser.add_argument(
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'--device', default='cuda:0', help='Device used for inference.')
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args = parser.parse_args()
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# build the model from a config file and a checkpoint file
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model = init_detector(args.config, args.checkpoint, device=args.device)
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# test a single text
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input_sentence = input('Please enter a sentence you want to test: ')
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result = text_model_inference(model, input_sentence)
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# show the results
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for pred_entities in result:
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for entity in pred_entities:
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print(f'{entity[0]}: {input_sentence[entity[1]:entity[2] + 1]}')
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if __name__ == '__main__':
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main()
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