def import_whole_image_points(self,annotation_set, import_data):
""" create annotation points with information from uploaded CSV and add to this annotation
set """
from projects.models import WholeImageAnnotation
images = annotation_set.images.all()
points_to_bulk_save = []
# iterate through the images and create points
for image in images:
for annotation in import_data[str(image.deployment.id)][image.image_name]:
whole_image_annotation = WholeImageAnnotation()
whole_image_annotation.annotation_set = annotation_set
whole_image_annotation.image = image
whole_image_annotation.owner = annotation_set.owner
whole_image_annotation.annotation_caab_code = annotation['Annotation Code']
whole_image_annotation.qualifier_short_name = ['Qualifier Name']
whole_image_annotation.annotation_caab_code_secondary = annotation['Annotation Code']
whole_image_annotation.qualifier_short_name_secondary = ['Qualifier Name 2']
points_to_bulk_save.append(whole_image_annotation)
# do the bulk save - for performance
WholeImageAnnotation.objects.bulk_create(points_to_bulk_save)
def apply_whole_image_points(self, annotation_set):
""" Randomly apply points to the images attached to this annotation
set """
from projects.models import WholeImageAnnotation
whole_image_annotation_count = 4
images = annotation_set.images.all()
points_to_bulk_save = []
# iterate through the images and create points
for image in images:
for i in range(whole_image_annotation_count):
whole_image_annotation = WholeImageAnnotation()
whole_image_annotation.annotation_set = annotation_set
whole_image_annotation.image = image
whole_image_annotation.owner = annotation_set.owner
whole_image_annotation.annotation_caab_code = ""
whole_image_annotation.qualifier_short_name = ""
whole_image_annotation.annotation_caab_code_secondary = ""
whole_image_annotation.qualifier_short_name_secondary = ""
points_to_bulk_save.append(whole_image_annotation)
# do the bulk save - for performance
WholeImageAnnotation.objects.bulk_create(points_to_bulk_save)