Convert image label file to coco style xml
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def label2xml(list_path, category_id, ANN_DIR='data/Annotations/', IMG_DIR='data/images/', SET_DIR='data/ImageSets/', | |
train=True): | |
set_file_list = [SET_DIR + 'train.txt', SET_DIR + 'minival.txt', SET_DIR + 'testdev.txt', SET_DIR + 'test.txt'] | |
TYPEPREFIX = 'train' if train else 'val' | |
lines = read_lines(list_path) | |
line_i = 0 | |
last_name = '' | |
E = None | |
img_annotation = None | |
image_file = None | |
while line_i < len(lines): | |
line = lines[line_i] | |
infos = line.split() | |
image_path = infos[0] | |
box = infos[1:] | |
imagename = str(int(image_path.split('.')[0].split('/')[-1])) | |
print('last_path: %s, image_path: %s' % (last_name, image_path)) | |
if last_name != imagename: | |
if train: | |
write_line(set_file_list[0], "%s.jpg %s.xml" % (imagename, imagename)) | |
else: | |
for i in range(1, 4): | |
write_line(set_file_list[i], "%s.jpg %s.xml" % (imagename, imagename)) | |
if last_name != '': | |
xml_pretty = etree.tostring(img_annotation, pretty_print=True) | |
with open(ANN_DIR + last_name + ".xml", 'wb') as ann_file: | |
ann_file.write(xml_pretty) | |
image_file = imread(image_path) | |
copyfile(image_path, IMG_DIR + '%d.jpg' % int(imagename)) | |
if path.exists(ANN_DIR + imagename + ".xml"): | |
E = objectify.ElementMaker(annotate=False) | |
img_annotation = objectify.fromstring(read_content(ANN_DIR + imagename + ".xml")) | |
else: | |
E = objectify.ElementMaker(annotate=False) | |
img_annotation = E.annotation( | |
E.folder(TYPEPREFIX), | |
E.filename(imagename), | |
E.source( | |
E.database('coco_cattle'), | |
), | |
E.size( | |
E.width(image_file.shape[1]), | |
E.height(image_file.shape[0]), | |
E.depth(3), | |
), | |
E.segmented(0) | |
) | |
last_name = imagename | |
objectNode = E.object( | |
E.name(str(category_id)), | |
E.pose("Unspecified"), | |
E.truncated("0"), | |
E.difficult("0"), | |
E.bndbox( | |
E.xmin(str(int(float(box[0]) * image_file.shape[1]))), | |
E.ymin(str(int(float(box[1]) * image_file.shape[0]))), | |
E.xmax(str(int(float(box[2]) * image_file.shape[1]))), | |
E.ymax(str(int(float(box[3]) * image_file.shape[0]))), | |
), | |
) | |
img_annotation.append(objectNode) | |
line_i += 1 |
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