|
|
@@ -16,6 +16,7 @@ from __future__ import absolute_import
|
|
|
import copy
|
|
|
import os.path as osp
|
|
|
import random
|
|
|
+import re
|
|
|
import numpy as np
|
|
|
from collections import OrderedDict
|
|
|
import xml.etree.ElementTree as ET
|
|
|
@@ -103,23 +104,46 @@ class VOCDetection(Dataset):
|
|
|
else:
|
|
|
ct = int(tree.find('id').text)
|
|
|
im_id = np.array([int(tree.find('id').text)])
|
|
|
-
|
|
|
- objs = tree.findall('object')
|
|
|
- im_w = float(tree.find('size').find('width').text)
|
|
|
- im_h = float(tree.find('size').find('height').text)
|
|
|
+ pattern = re.compile('<object>', re.IGNORECASE)
|
|
|
+ obj_tag = pattern.findall(str(ET.tostringlist(tree.getroot())))[0][1:-1]
|
|
|
+ objs = tree.findall(obj_tag)
|
|
|
+ pattern = re.compile('<size>', re.IGNORECASE)
|
|
|
+ size_tag = pattern.findall(str(ET.tostringlist(tree.getroot())))[0][1:-1]
|
|
|
+ size_element = tree.find(size_tag)
|
|
|
+ pattern = re.compile('<width>', re.IGNORECASE)
|
|
|
+ width_tag = pattern.findall(str(ET.tostringlist(size_element)))[0][1:-1]
|
|
|
+ im_w = float(size_element.find(width_tag).text)
|
|
|
+ pattern = re.compile('<height>', re.IGNORECASE)
|
|
|
+ height_tag = pattern.findall(str(ET.tostringlist(size_element)))[0][1:-1]
|
|
|
+ im_h = float(size_element.find(height_tag).text)
|
|
|
gt_bbox = np.zeros((len(objs), 4), dtype=np.float32)
|
|
|
gt_class = np.zeros((len(objs), 1), dtype=np.int32)
|
|
|
gt_score = np.ones((len(objs), 1), dtype=np.float32)
|
|
|
is_crowd = np.zeros((len(objs), 1), dtype=np.int32)
|
|
|
difficult = np.zeros((len(objs), 1), dtype=np.int32)
|
|
|
for i, obj in enumerate(objs):
|
|
|
- cname = obj.find('name').text
|
|
|
+ pattern = re.compile('<name>', re.IGNORECASE)
|
|
|
+ name_tag = pattern.findall(str(ET.tostringlist(obj)))[0][1:-1]
|
|
|
+ cname = obj.find(name_tag).text
|
|
|
gt_class[i][0] = cname2cid[cname]
|
|
|
- _difficult = int(obj.find('difficult').text)
|
|
|
- x1 = float(obj.find('bndbox').find('xmin').text)
|
|
|
- y1 = float(obj.find('bndbox').find('ymin').text)
|
|
|
- x2 = float(obj.find('bndbox').find('xmax').text)
|
|
|
- y2 = float(obj.find('bndbox').find('ymax').text)
|
|
|
+ pattern = re.compile('<difficult>', re.IGNORECASE)
|
|
|
+ diff_tag = pattern.findall(str(ET.tostringlist(obj)))[0][1:-1]
|
|
|
+ _difficult = int(obj.find(diff_tag).text)
|
|
|
+ pattern = re.compile('<bndbox>', re.IGNORECASE)
|
|
|
+ box_tag = pattern.findall(str(ET.tostringlist(obj)))[0][1:-1]
|
|
|
+ box_element = obj.find(box_tag)
|
|
|
+ pattern = re.compile('<xmin>', re.IGNORECASE)
|
|
|
+ xmin_element = pattern.findall(str(ET.tostringlist(box_element)))[0][1:-1]
|
|
|
+ x1 = float(box_element.find(xmin_element).text)
|
|
|
+ pattern = re.compile('<ymin>', re.IGNORECASE)
|
|
|
+ ymin_element = pattern.findall(str(ET.tostringlist(box_element)))[0][1:-1]
|
|
|
+ y1 = float(box_element.find(ymin_element).text)
|
|
|
+ pattern = re.compile('<xmax>', re.IGNORECASE)
|
|
|
+ xmax_element = pattern.findall(str(ET.tostringlist(box_element)))[0][1:-1]
|
|
|
+ x2 = float(box_element.find(xmax_element).text)
|
|
|
+ pattern = re.compile('<ymax>', re.IGNORECASE)
|
|
|
+ ymax_element = pattern.findall(str(ET.tostringlist(box_element)))[0][1:-1]
|
|
|
+ y2 = float(box_element.find(ymax_element).text)
|
|
|
x1 = max(0, x1)
|
|
|
y1 = max(0, y1)
|
|
|
if im_w > 0.5 and im_h > 0.5:
|
sunyanfang01