33 lines
1.4 KiB
Python
33 lines
1.4 KiB
Python
|
import orjson
|
||
|
|
|
||
|
|
from data.image_label_parser import VsNetImageLabeler
|
||
|
|
|
||
|
|
|
||
|
|
# Translates from the label JSON output of the VS.NET UI to something more compact and usable.
|
||
|
|
def convert_from_vsnet_labels():
|
||
|
|
labeler = VsNetImageLabeler(['F:\\4k6k\datasets\\ns_images\\512_unsupervised\\categories.json',
|
||
|
|
'F:\\4k6k\datasets\\ns_images\\512_unsupervised\\categories_new.json',
|
||
|
|
'F:\\4k6k\datasets\\ns_images\\512_unsupervised\\categories_new_new.json'])
|
||
|
|
# Proposed format:
|
||
|
|
# 'config': { 'dim' }
|
||
|
|
# 'labels': [{ 'label', 'key'}] <- ordered by label index.
|
||
|
|
# 'images': {'file': [{ 'lid', 'top', 'left' }}
|
||
|
|
# 'labelMap' {<mapping of string labels to ids>}
|
||
|
|
out_dict = {
|
||
|
|
'config': {
|
||
|
|
'dim': next(iter(labeler.labeled_images.values()))[0]['patch_width']
|
||
|
|
},
|
||
|
|
'labels': [{'label': cat['label'], 'key': cat['keyBinding']} for cat in labeler.categories.values()],
|
||
|
|
}
|
||
|
|
out_dict['labelMap'] = {}
|
||
|
|
for i, lbl in enumerate(out_dict['labels']):
|
||
|
|
out_dict['labelMap'][lbl['label']] = i
|
||
|
|
out_dict['images'] = {}
|
||
|
|
for fname, ilbls in labeler.labeled_images.items():
|
||
|
|
out_dict['images'][fname] = [{'lid': out_dict['labelMap'][il['label']], 'top': il['patch_top'], 'left': il['patch_left']} for il in ilbls]
|
||
|
|
with open("label_editor.json", 'wb') as fout:
|
||
|
|
fout.write(orjson.dumps(out_dict))
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
convert_from_vsnet_labels()
|