Spaces:
Runtime error
Runtime error
File size: 1,610 Bytes
3b96cb1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
# Copyright (c) OpenMMLab. All rights reserved.
from argparse import ArgumentParser
from mmseg.apis import MMSegInferencer
def main():
parser = ArgumentParser()
parser.add_argument('img', help='Image file')
parser.add_argument('model', help='Config file')
parser.add_argument('--checkpoint', default=None, help='Checkpoint file')
parser.add_argument(
'--out-dir', default='', help='Path to save result file')
parser.add_argument(
'--show',
action='store_true',
default=False,
help='Whether to display the drawn image.')
parser.add_argument(
'--dataset-name',
default='cityscapes',
help='Color palette used for segmentation map')
parser.add_argument(
'--device', default='cuda:0', help='Device used for inference')
parser.add_argument(
'--opacity',
type=float,
default=0.5,
help='Opacity of painted segmentation map. In (0, 1] range.')
parser.add_argument(
'--with-labels',
action='store_true',
default=False,
help='Whether to display the class labels.')
args = parser.parse_args()
# build the model from a config file and a checkpoint file
mmseg_inferencer = MMSegInferencer(
args.model,
args.checkpoint,
dataset_name=args.dataset_name,
device=args.device)
# test a single image
mmseg_inferencer(
args.img,
show=args.show,
out_dir=args.out_dir,
opacity=args.opacity,
with_labels=args.with_labels)
if __name__ == '__main__':
main()
|