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