def __classification_to_annotations__(self,classification,):
"""
This is the main function projects will have to override - given a set of annotations, we need to return the list
of all markings in that annotation
"""
(lb_roi,ub_roi) = self.current_roi
markings = []
for ann in classification["annotations"]:
if "finished_at" in ann:
break
x_pts=[]
y_pts=[]
for point in ["p0","p1","p2","p3"]:
x_pts.append(float(ann[point][0]))
y_pts.append(float(ann[point][1]))
x = numpy.mean(x_pts)
y = numpy.mean(y_pts)
if not(MarkingProject.__in_roi__(self,(x,y),lb_roi,ub_roi)):
continue
try:
species = ann["species"]
except KeyError:
continue
if species == "":
continue
markings.append(((x,y),species))
# assert False
return markings
def __classification_to_annotations__(
self,
classification,
):
"""
This is the main function projects will have to override - given a set of annotations, we need to return the list
of all markings in that annotation
"""
(lb_roi, ub_roi) = self.current_roi
markings = []
for ann in classification["annotations"]:
if "finished_at" in ann:
break
x_pts = []
y_pts = []
for point in ["p0", "p1", "p2", "p3"]:
x_pts.append(float(ann[point][0]))
y_pts.append(float(ann[point][1]))
x = numpy.mean(x_pts)
y = numpy.mean(y_pts)
if not (MarkingProject.__in_roi__(self, (x, y), lb_roi, ub_roi)):
continue
try:
species = ann["species"]
except KeyError:
continue
if species == "":
continue
markings.append(((x, y), species))
# assert False
return markings
def __init__(self, date="2015-05-06"):
MarkingProject.__init__(self, "plankton", date, experts=["yshish"])
def __init__(self,date="2015-05-08",pickle_directory="/tmp/"):
MarkingProject.__init__(self, "plankton", date,experts=["yshish"],pickle_directory=pickle_directory)
def __init__(self,date="2015-05-06"):
MarkingProject.__init__(self, "plankton", date,experts=["yshish"])