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