From cf10c91ded43e6d30a3969e318726ab8d0c48f27 Mon Sep 17 00:00:00 2001
From: zhe chen <wztxy89@163.com>
Date: Sun, 5 Jun 2022 13:13:55 +0800
Subject: [PATCH] single image inference

---
 segmentation/image_demo.py | 58 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 58 insertions(+)
 create mode 100644 segmentation/image_demo.py

diff --git a/segmentation/image_demo.py b/segmentation/image_demo.py
new file mode 100644
index 000000000..7df0cbbd4
--- /dev/null
+++ b/segmentation/image_demo.py
@@ -0,0 +1,58 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+from argparse import ArgumentParser
+
+import mmcv
+
+import mmcv_custom   # noqa: F401,F403
+import mmseg_custom   # noqa: F401,F403
+from mmseg.apis import inference_segmentor, init_segmentor, show_result_pyplot
+from mmseg.core.evaluation import get_palette
+from mmcv.runner import load_checkpoint
+from mmseg.core import get_classes
+import cv2
+import os.path as osp
+
+
+def main():
+    parser = ArgumentParser()
+    parser.add_argument('config', help='Config file')
+    parser.add_argument('checkpoint', help='Checkpoint file')
+    parser.add_argument('img', help='Image file')
+    parser.add_argument('--out', type=str, default="demo", help='out dir')
+    parser.add_argument(
+        '--device', default='cuda:0', help='Device used for inference')
+    parser.add_argument(
+        '--palette',
+        default='cityscapes',
+        help='Color palette used for segmentation map')
+    parser.add_argument(
+        '--opacity',
+        type=float,
+        default=0.5,
+        help='Opacity of painted segmentation map. In (0, 1] range.')
+    args = parser.parse_args()
+
+    # build the model from a config file and a checkpoint file
+    
+    model = init_segmentor(args.config, checkpoint=None, device=args.device)
+    checkpoint = load_checkpoint(model, args.checkpoint, map_location='cpu')
+    if 'CLASSES' in checkpoint.get('meta', {}):
+        model.CLASSES = checkpoint['meta']['CLASSES']
+    else:
+        model.CLASSES = get_classes(args.palette)
+        
+    # test a single image
+    result = inference_segmentor(model, args.img)
+    # show the results
+    if hasattr(model, 'module'):
+        model = model.module
+    img = model.show_result(args.img, result,
+                            palette=get_palette(args.palette),
+                            show=False, opacity=args.opacity)
+    mmcv.mkdir_or_exist(args.out)
+    out_path = osp.join(args.out, osp.basename(args.img))
+    cv2.imwrite(out_path, img)
+    print(f"Result is save at {out_path}")
+
+if __name__ == '__main__':
+    main()
\ No newline at end of file