更换文档检测模型

paddle_detection/ppdet/utils/voc_utils.py

@@ -0,0 +1,86 @@
+# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import os
+import os.path as osp
+import re
+import random
+
+__all__ = ['create_list']
+
+
+def create_list(devkit_dir, years, output_dir):
+    """
+    create following list:
+        1. trainval.txt
+        2. test.txt
+    """
+    trainval_list = []
+    test_list = []
+    for year in years:
+        trainval, test = _walk_voc_dir(devkit_dir, year, output_dir)
+        trainval_list.extend(trainval)
+        test_list.extend(test)
+
+    random.shuffle(trainval_list)
+    with open(osp.join(output_dir, 'trainval.txt'), 'w') as ftrainval:
+        for item in trainval_list:
+            ftrainval.write(item[0] + ' ' + item[1] + '\n')
+
+    with open(osp.join(output_dir, 'test.txt'), 'w') as fval:
+        ct = 0
+        for item in test_list:
+            ct += 1
+            fval.write(item[0] + ' ' + item[1] + '\n')
+
+
+def _get_voc_dir(devkit_dir, year, type):
+    return osp.join(devkit_dir, 'VOC' + year, type)
+
+
+def _walk_voc_dir(devkit_dir, year, output_dir):
+    filelist_dir = _get_voc_dir(devkit_dir, year, 'ImageSets/Main')
+    annotation_dir = _get_voc_dir(devkit_dir, year, 'Annotations')
+    img_dir = _get_voc_dir(devkit_dir, year, 'JPEGImages')
+    trainval_list = []
+    test_list = []
+    added = set()
+
+    for _, _, files in os.walk(filelist_dir):
+        for fname in files:
+            img_ann_list = []
+            if re.match(r'[a-z]+_trainval\.txt', fname):
+                img_ann_list = trainval_list
+            elif re.match(r'[a-z]+_test\.txt', fname):
+                img_ann_list = test_list
+            else:
+                continue
+            fpath = osp.join(filelist_dir, fname)
+            for line in open(fpath):
+                name_prefix = line.strip().split()[0]
+                if name_prefix in added:
+                    continue
+                added.add(name_prefix)
+                ann_path = osp.join(
+                    osp.relpath(annotation_dir, output_dir),
+                    name_prefix + '.xml')
+                img_path = osp.join(
+                    osp.relpath(img_dir, output_dir), name_prefix + '.jpg')
+                img_ann_list.append((img_path, ann_path))
+
+    return trainval_list, test_list