Annotation-Factory Python SDK. This package works specifically with Microsoft Cognitive Services detection results. AnnotationWriter
takes a JSON object received from Cognitive Services and produces annotation files in both VOC and YOLO formats for use in training machine learning models.
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Install
annotationfactory
package via pip:pip install annotationfactory
from annotationfactory.annotationwriter import AnnotationWriter
import annotationfactory.annotationconverter as converter
example = {
'tagId': 0,
'tagName': 'Apples',
'region': {
'left': 0.288039029,
'top': 0.411838,
'width': 0.291451037,
'height': 0.4237842
}
}
# Initialise AnnotationWriter.
writer = AnnotationWriter()
# Initialise annotation handlers.
writer.initVoc("test.jpg", 608, 608)
writer.initYolo()
# Add VOC object to writer.
writer.addVocObject(example)
writer.addVocObject(example)
# Add YOLO object to writer.
writer.addYoloObject(example)
writer.addYoloObject(example)
# Output VOC annotations to file.
writer.saveVoc("myannotation.xml")
# Output YOLO annotations to file.
writer.saveYolo("myannotation.txt")
# Converts VOC annotations back to CustomVision annotation format.
voc2cv = converter.convertVocFromPath("myannotation.xml")
# Converts YOLO annotations back to CustomVision annotation format.
# Requires a txt file with list of label names as an input.
yolo2cv = converter.convertYoloFromPath("myannotation.txt", "class.names")
pip install -r requirements.txt
python example/test.py
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