init

2025-12-08 22:16:31 +08:00
commit 01adcfdf60
305 changed files with 50879 additions and 0 deletions
--- a/finetune/mmseg/datasets/germany.py
+++ b/finetune/mmseg/datasets/germany.py
@@ -0,0 +1,72 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+import json
+import os.path as osp
+from typing import Callable, Dict, List, Optional, Sequence, Union
+
+from mmseg.registry import DATASETS
+from .basesegdataset import BaseSegDataset
+from mmengine.logging import print_log
+import pandas as pd
+# LEGEND = [
+#     255    255    255;  % Background
+#       0      0      0;  % Roads
+#     100    100    100;  % Buildings
+#       0    125      0;  % Trees
+#       0    255      0;  % Grass
+#     150     80      0;  % Bare Soil
+#       0      0    150;  % Water
+#     255    255      0;  % Railways
+#     150    150    255]; % Swimming Pools 
+
+@DATASETS.register_module()
+class GermanyCropDataset(BaseSegDataset):
+    """Zurich dataset.
+
+    In segmentation map annotation for LoveDA, 0 is the ignore index.
+    ``reduce_zero_label`` should be set to True. The ``img_suffix`` and
+    ``seg_map_suffix`` are both fixed to '.png'.
+    """
+    # {0: "unknown", 1: "sugar_beet", 2: "summer_oat", 3: "meadow", 5: "rape", 8: "hop",
+    #                    9: "winter_spelt", 12: "winter_triticale", 13: "beans", 15: "peas", 16: "potatoes",
+    #                    17: "soybeans", 19: "asparagus", 22: "winter_wheat", 23: "winter_barley", 24: "winter_rye",
+    #                    25: "summer_barley", 26: "maize"}
+    METAINFO = dict(
+        classes=('sugar_beet', 'summer_oat', 'meadow', 'rape', 'hop', 'winter_spelt', 'winter_triticale', 'beans', 'peas',\
+            'potatoes', 'soybeans', 'asparagus', 'winter_wheat', 'winter_barley', 'winter_rye', 'summer_barley', 'maize'),
+        palette=[(255, 255, 255), (255, 255, 170), (255, 255, 85), (255, 170, 255), (255, 170, 170), (255, 170, 85), \
+            (255, 85, 255), (255, 85, 170), (255, 85, 85), (170, 255, 255), (170, 255, 170), (170, 255, 85), (170, 170, 255), \
+                 (170, 170, 170), (170, 170, 85), (170, 85, 255), (170, 85, 170)])
+    def __init__(self,
+                 img_suffix='.pickle',
+                 seg_map_suffix='.pickle',
+                 reduce_zero_label=True,
+                 **kwargs) -> None:
+        super().__init__(
+            img_suffix=img_suffix,
+            seg_map_suffix=seg_map_suffix,
+            reduce_zero_label=reduce_zero_label,
+            **kwargs)
+    
+    def load_data_list(self) -> List[dict]:
+        """Load annotation from directory or annotation file.
+
+        Returns:
+            list[dict]: All data info of dataset.
+        """
+        data_list = []
+        if not osp.isdir(self.ann_file) and self.ann_file:
+            assert osp.isfile(self.ann_file), \
+                f'Failed to load `ann_file` {self.ann_file}'
+            lines = json.load(open(self.ann_file))
+            print_log(f'dataset count: {len(lines)}')
+            for line in lines:
+                data_info = dict(
+                    img_path=osp.join(self.data_root, line['s2_path']))
+                if 'target_path' in line.keys():
+                    data_info['seg_map_path'] = osp.join(self.data_root, line['target_path'])
+                data_info['label_map'] = self.label_map
+                data_info['reduce_zero_label'] = self.reduce_zero_label
+                data_info['seg_fields'] = []
+                data_list.append(data_info)
+            data_list = sorted(data_list, key=lambda x: x['img_path'])
+        return data_list