xml json pascal
2020.01.12 18:04
댓글 4
-
WHRIA
2020.01.12 18:06
<annotation> <folder>GeneratedData_Train</folder> <filename>000001.png</filename> <path>/my/path/GeneratedData_Train/000001.png</path> <source> <database>Unknown</database> </source> <size> <width>224</width> <height>224</height> <depth>3</depth> </size> <segmented>0</segmented> <object> <name>21</name> <pose>Frontal</pose> <truncated>0</truncated> <difficult>0</difficult> <occluded>0</occluded> <bndbox> <xmin>82</xmin> <xmax>172</xmax> <ymin>88</ymin> <ymax>146</ymax> </bndbox> </object> </annotation> -
WHRIA
2020.01.12 18:07
-
WHRIA
2020.01.12 18:15
# Writer(path, width, height)
writer = Writer(‘path/to/img.jpg’, 800, 400)
# ::addObject(name, xmin, ymin, xmax, ymax)
writer.addObject(‘cat’, 100, 100, 200, 200)
# ::save(path)
writer.save(‘path/to/img.xml’)
-
WHRIA
2020.01.12 18:23
xml → json
Converts PASCAL VOC annotations to the _annotations.json format supported by the Cloud Annotations tool.
Instructions
Install the Cloud Object Storage SDK:
pip install botocore==1.12.26 ibm-cos-sdk==2.3.2
Convert xml annotations to json:
python convert_xml2json.py
Add your
credentials
toupload2bucket.py
:credentials = { 'bucket': 'YOUR_BUCKET_NAME', 'iam_url': 'https://iam.ng.bluemix.net/oidc/token', 'resource_instance_id': 'YOUR_INSTANCE_ID', 'url': 'YOUR_REGION_ENDPOINT', 'api_key': 'YOUR_API_KEY' }
Upload images and annotations to Cloud Object Storage Bucket:
python upload2bucket.py
번호 | 제목 | 글쓴이 | 날짜 | 조회 수 |
---|---|---|---|---|
1609 | lvm 확장 [1] | WHRIA | 2019.12.25 | 78 |
1608 | pytorch object detect / retinanet | WHRIA | 2019.12.22 | 236 |
1607 | kaggle leakage | WHRIA | 2019.12.19 | 64 |
1606 | pytorch - caffe | WHRIA | 2019.12.19 | 98 |
1605 | pytorch mini batch size | WHRIA | 2019.12.19 | 118 |
1604 | windows softraid monitor | WHRIA | 2019.12.19 | 111 |
1603 | raid monitor | WHRIA | 2019.12.15 | 87 |
1602 | SAS controller SAS 9212-4i | WHRIA | 2019.12.08 | 176 |
1601 | Basic tutorial to develop driver on windows | WHRIA | 2019.12.07 | 489 |
1600 | Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network | WHRIA | 2019.12.07 | 416 |
1599 | linux raid | WHRIA | 2019.11.30 | 96 |
1598 | Micro- and macro-averages | WHRIA | 2019.11.28 | 168 |
1597 | mcnemar | WHRIA | 2019.11.20 | 122 |
1596 | python pdf writer | WHRIA | 2019.11.04 | 362 |
1595 | distributed training [2] | WHRIA | 2019.10.30 | 165 |