mirror of https://github.com/open-mmlab/mmocr.git
64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from argparse import ArgumentParser
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import numpy as np
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import requests
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from mmocr.apis import init_detector, model_inference
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def parse_args():
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parser = ArgumentParser()
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parser.add_argument('img', help='Image file')
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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('model_name', help='The model name in the server')
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parser.add_argument(
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'--inference-addr',
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default='127.0.0.1:8080',
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help='Address and port of the inference server')
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parser.add_argument(
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'--device', default='cuda:0', help='Device used for inference')
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parser.add_argument(
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'--score-thr', type=float, default=0.5, help='bbox score threshold')
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args = parser.parse_args()
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return args
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def main(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 image
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model_results = model_inference(model, args.img)
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model.show_result(
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args.img,
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model_results,
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win_name='model_results',
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show=True,
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score_thr=args.score_thr)
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url = 'http://' + args.inference_addr + '/predictions/' + args.model_name
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with open(args.img, 'rb') as image:
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response = requests.post(url, image)
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serve_results = response.json()
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model.show_result(
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args.img,
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serve_results,
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show=True,
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win_name='serve_results',
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score_thr=args.score_thr)
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assert serve_results.keys() == model_results.keys()
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for key in serve_results.keys():
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for model_result, serve_result in zip(model_results[key],
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serve_results[key]):
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if isinstance(model_result[0], (int, float)):
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assert np.allclose(model_result, serve_result)
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elif isinstance(model_result[0], str):
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assert model_result == serve_result
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else:
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raise TypeError
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if __name__ == '__main__':
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args = parse_args()
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main(args)
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