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[Fix] Fix image_demo.py error (#1640)

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* [Fix] Fix image_demo.py error

* [Fix] Fix image_demo.py error

* fix

* delete plt.cla()
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MengzhangLI 2022-06-09 17:20:28 +08:00 committed by GitHub
parent 775d05c54f
commit 43b4efb122
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3 changed files with 10 additions and 3 deletions
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4
demo/image_demo.py
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@ -10,6 +10,7 @@ def main():
parser.add_argument('img', help='Image file') parser.add_argument('img', help='Image file')
parser.add_argument('config', help='Config file') parser.add_argument('config', help='Config file')
parser.add_argument('checkpoint', help='Checkpoint file') parser.add_argument('checkpoint', help='Checkpoint file')
parser.add_argument('--out-file', default=None, help='Path to output file')
parser.add_argument( parser.add_argument(
'--device', default='cuda:0', help='Device used for inference') '--device', default='cuda:0', help='Device used for inference')
parser.add_argument( parser.add_argument(
@ -33,7 +34,8 @@ def main():
args.img, args.img,
result, result,
get_palette(args.palette), get_palette(args.palette),
opacity=args.opacity) opacity=args.opacity,
out_file=args.out_file)
if __name__ == '__main__': if __name__ == '__main__':

2
docs/en/get_started.md
View File

@ -80,7 +80,7 @@ The downloading will take several seconds or more, depending on your network env
Option (a). If you install mmsegmentation from source, just run the following command. Option (a). If you install mmsegmentation from source, just run the following command.
```shell ```shell
python demo/image_demo.py demo/demo.jpg pspnet_r50-d8_512x1024_40k_cityscapes.py pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth --device cpu --out-file result.jpg python demo/image_demo.py demo/demo.png configs/pspnet/pspnet_r50-d8_512x1024_40k_cityscapes.py pspnet_r50-d8_512x1024_40k_cityscapes_20200605_003338-2966598c.pth --device cuda:0 --out-file result.jpg
``` ```
You will see a new image `result.jpg` on your current folder, where segmentation masks are covered on all objects. You will see a new image `result.jpg` on your current folder, where segmentation masks are covered on all objects.

7
mmseg/apis/inference.py
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@ -106,7 +106,8 @@ def show_result_pyplot(model,
fig_size=(15, 10), fig_size=(15, 10),
opacity=0.5, opacity=0.5,
title='', title='',
block=True): block=True,
out_file=None):
"""Visualize the segmentation results on the image. """Visualize the segmentation results on the image.
Args: Args:
@ -124,6 +125,8 @@ def show_result_pyplot(model,
Default is ''. Default is ''.
block (bool): Whether to block the pyplot figure. block (bool): Whether to block the pyplot figure.
Default is True. Default is True.
out_file (str or None): The path to write the image.
Default: None.
""" """
if hasattr(model, 'module'): if hasattr(model, 'module'):
model = model.module model = model.module
@ -134,3 +137,5 @@ def show_result_pyplot(model,
plt.title(title) plt.title(title)
plt.tight_layout() plt.tight_layout()
plt.show(block=block) plt.show(block=block)
if out_file is not None:
mmcv.imwrite(img, out_file)