def import_sampled_points(self, annotation_set, import_data):
""" create annotation points with information from uploaded CSV and add to this annotation
set """
from projects.models import PointAnnotation
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]:
point_annotation = PointAnnotation()
point_annotation.annotation_set = annotation_set
point_annotation.image = image
point_annotation.owner = annotation_set.owner
point_annotation.x = annotation['Point in Image'].split(',')[0]
point_annotation.y = annotation['Point in Image'].split(',')[1]
point_annotation.annotation_caab_code = annotation['Annotation Code']
point_annotation.qualifier_short_name = annotation['Qualifier Name']
point_annotation.annotation_caab_code_secondary = annotation['Annotation Code 2']
point_annotation.qualifier_short_name_secondary = annotation['Qualifier Name 2']
#point_annotation.save()
points_to_bulk_save.append(point_annotation)
# do the bulk save - for performance
PointAnnotation.objects.bulk_create(points_to_bulk_save)
def apply_fixed_five_points(self, annotation_set):
""" 5 points based on AIMS standard """
from projects.models import PointAnnotation
images = annotation_set.images.all()
points_to_bulk_save = []
# create the grid
row_points = [0.25, 0.25, 0.5, 0.75, 0.75]
column_points = [0.25, 0.75, 0.5, 0.75, 0.25]
# apply the points to the images
for image in images:
for i in range(int(5)):
point_annotation = PointAnnotation()
point_annotation.annotation_set = annotation_set
point_annotation.image = image
point_annotation.owner = annotation_set.owner
point_annotation.x = row_points[i]
point_annotation.y = column_points[i]
point_annotation.annotation_caab_code = ""
point_annotation.qualifier_short_name = ""
point_annotation.annotation_caab_code_secondary = ""
point_annotation.qualifier_short_name_secondary = ""
#point_annotation.save()
points_to_bulk_save.append(point_annotation)
# do the bulk save - for performance
PointAnnotation.objects.bulk_create(points_to_bulk_save)
def apply_random_sampled_points(self, annotation_set, sample_size):
""" Randomly apply points to the images attached to this annotation
set """
from projects.models import PointAnnotation
images = annotation_set.images.all()
points_to_bulk_save = []
# iterate through the images and create points
for image in images:
for i in range(int(sample_size)):
point_annotation = PointAnnotation()
point_annotation.annotation_set = annotation_set
point_annotation.image = image
point_annotation.owner = annotation_set.owner
point_annotation.x = random.uniform(0.008, 0.992) #random.random()
point_annotation.y = random.uniform(0.008, 0.992)
point_annotation.annotation_caab_code = ""
point_annotation.qualifier_short_name = ""
point_annotation.annotation_caab_code_secondary = ""
point_annotation.qualifier_short_name_secondary = ""
#point_annotation.save()
points_to_bulk_save.append(point_annotation)
# do the bulk save - for performance
PointAnnotation.objects.bulk_create(points_to_bulk_save)
def apply_uniform_grid_points(self, annotation_set, sample_size):
""" Apply a uniform grid of points to an image. """
from projects.models import PointAnnotation
images = annotation_set.images.all()
points_to_bulk_save = []
# take the square root of the sample size and round
square = math.sqrt(int(sample_size))
rows = columns = round(square)
# +1 to the rows and cols
rows += 1
columns += 1
# create the grid
row_points = np.linspace(0.008, 0.992, num=rows, endpoint=False)
column_points = np.linspace(0.008, 0.992, num=columns, endpoint=False)
# pop the first item from the arrays - we do this so we get an even spacing excluding edges
row_points = np.delete(row_points, 0)
column_points = np.delete(column_points, 0)
# apply the points to the images
for image in images:
for row in row_points:
for column in column_points:
point_annotation = PointAnnotation()
point_annotation.annotation_set = annotation_set
point_annotation.image = image
point_annotation.owner = annotation_set.owner
point_annotation.x = row
point_annotation.y = column
point_annotation.annotation_caab_code = ""
point_annotation.qualifier_short_name = ""
point_annotation.annotation_caab_code_secondary = ""
point_annotation.qualifier_short_name_secondary = ""
#point_annotation.save()
points_to_bulk_save.append(point_annotation)
# do the bulk save - for performance
PointAnnotation.objects.bulk_create(points_to_bulk_save)