Closed manish0079 closed 3 years ago
Can we Auto annotate "Semantic segmentation" model ,like u have shown an eg of object detection model Yolo in documentation is it possible?. or we simply upload the mask and ten convert it like in the eg : https://docs.dataloop.ai/docs/sdk-convert-types#create-semantic-segmentation-from-image-mask-and-upload
In these Example also i couldn't update the labels properly i am getting an error like i create a variable and specified the color
labels = [{'label_name': '"car"', 'color': (55,81,246)}, {'label_name': 'traffic sign', 'color': (74,48,136)}]
and uploaded in the recipe as level and i added in the builder like this
builder.add(annotation_definition=dl.Segmentation(geo=class_mask, label=str(labels)))
But i getting an error like whatever recipe is added is not same like Can anyone help me in resolving the error
Thank you
Can we Auto annotate "Semantic segmentation" model ,like u have shown an eg of object detection model Yolo in documentation is it possible?. or we simply upload the mask and ten convert it like in the eg : https://docs.dataloop.ai/docs/sdk-convert-types#create-semantic-segmentation-from-image-mask-and-upload
In these Example also i couldn't update the labels properly i am getting an error like i create a variable and specified the color
labels = [{'label_name': '"car"', 'color': (55,81,246)}, {'label_name': 'traffic sign', 'color': (74,48,136)}]
and uploaded in the recipe as level and i added in the builder like this
builder.add(annotation_definition=dl.Segmentation(geo=class_mask, label=str(labels)))
But i getting an error like whatever recipe is added is not same like Can anyone help me in resolving the error
Thank you