Add get_gt_txt

get_gt_txt

@@ -0,0 +1,49 @@
+#----------------------------------------------------#
+#   获取测试集的ground-truth
+#----------------------------------------------------#
+import glob
+import os
+import sys
+import xml.etree.ElementTree as ET
+
+#---------------------------------------------------#
+#   获得类
+#---------------------------------------------------#
+def get_classes(classes_path):
+    '''loads the classes'''
+    with open(classes_path) as f:
+        class_names = f.readlines()
+    class_names = [c.strip() for c in class_names]
+    return class_names
+
+image_ids = open('VOCdevkit/VOC2007/ImageSets/Main/test.txt').read().strip().split()
+
+if not os.path.exists("./input"):
+    os.makedirs("./input")
+if not os.path.exists("./input/ground-truth"):
+    os.makedirs("./input/ground-truth")
+
+for image_id in image_ids:
+    with open("./input/ground-truth/"+image_id+".txt", "w") as new_f:
+        root = ET.parse("VOCdevkit/VOC2007/Annotations/"+image_id+".xml").getroot()
+        for obj in root.findall('object'):
+            difficult_flag = False
+            if obj.find('difficult')!=None:
+                difficult = obj.find('difficult').text
+                if int(difficult)==1:
+                    difficult_flag = True
+            obj_name = obj.find('name').text
+          
+
+            bndbox = obj.find('bndbox')
+            left = bndbox.find('xmin').text
+            top = bndbox.find('ymin').text
+            right = bndbox.find('xmax').text
+            bottom = bndbox.find('ymax').text
+
+            if difficult_flag:
+                new_f.write("%s %s %s %s %s difficult\n" % (obj_name, left, top, right, bottom))
+            else:
+                new_f.write("%s %s %s %s %s\n" % (obj_name, left, top, right, bottom))
+
+print("Conversion completed!")