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# Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser
from mmseg.apis import RSImage, RSInferencer
def main():
parser = ArgumentParser()
parser.add_argument('image', help='Image file path')
parser.add_argument('config', help='Config file')
parser.add_argument('checkpoint', help='Checkpoint file')
parser.add_argument(
'--output-path',
help='Path to save result image',
default='result.png')
parser.add_argument(
'--batch-size',
type=int,
default=1,
help='maximum number of windows inferred simultaneously')
parser.add_argument(
'--window-size',
help='window xsize,ysize',
default=(224, 224),
type=int,
nargs=2)
parser.add_argument(
'--stride',
help='window xstride,ystride',
default=(224, 224),
type=int,
nargs=2)
parser.add_argument(
'--thread', default=1, type=int, help='number of inference threads')
parser.add_argument(
'--device', default='cuda:0', help='Device used for inference')
args = parser.parse_args()
inferencer = RSInferencer.from_config_path(
args.config,
args.checkpoint,
batch_size=args.batch_size,
thread=args.thread,
device=args.device)
image = RSImage(args.image)
inferencer.run(image, args.window_size, args.stride, args.output_path)
if __name__ == '__main__':
main()
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