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| # -------------------------------------------------------- | |
| # SiamMask | |
| # Licensed under The MIT License | |
| # Written by Qiang Wang (wangqiang2015 at ia.ac.cn) | |
| # -------------------------------------------------------- | |
| from os.path import join | |
| from os import listdir | |
| import cv2 | |
| import numpy as np | |
| import glob | |
| import xml.etree.ElementTree as ET | |
| visual = False | |
| color_bar = np.random.randint(0, 255, (90, 3)) | |
| VID_base_path = './ILSVRC2015' | |
| ann_base_path = join(VID_base_path, 'Annotations/VID/train/') | |
| img_base_path = join(VID_base_path, 'Data/VID/train/') | |
| sub_sets = sorted({'a', 'b', 'c', 'd', 'e'}) | |
| for sub_set in sub_sets: | |
| sub_set_base_path = join(ann_base_path, sub_set) | |
| videos = sorted(listdir(sub_set_base_path)) | |
| for vi, video in enumerate(videos): | |
| print('subset: {} video id: {:04d} / {:04d}'.format(sub_set, vi, len(videos))) | |
| video_base_path = join(sub_set_base_path, video) | |
| xmls = sorted(glob.glob(join(video_base_path, '*.xml'))) | |
| for xml in xmls: | |
| f = dict() | |
| xmltree = ET.parse(xml) | |
| size = xmltree.findall('size')[0] | |
| frame_sz = [int(it.text) for it in size] | |
| objects = xmltree.findall('object') | |
| if visual: | |
| im = cv2.imread(xml.replace('xml', 'JPEG').replace('Annotations', 'Data')) | |
| for object_iter in objects: | |
| trackid = int(object_iter.find('trackid').text) | |
| bndbox = object_iter.find('bndbox') | |
| bbox = [int(bndbox.find('xmin').text), int(bndbox.find('ymin').text), | |
| int(bndbox.find('xmax').text), int(bndbox.find('ymax').text)] | |
| if visual: | |
| pt1 = (int(bbox[0]), int(bbox[1])) | |
| pt2 = (int(bbox[2]), int(bbox[3])) | |
| cv2.rectangle(im, pt1, pt2, color_bar[trackid], 3) | |
| if visual: | |
| cv2.imshow('img', im) | |
| cv2.waitKey(1) | |
| print('done!') | |