def get_heatmap(self, type='raw'):
"""
Returns heatmap calculated from saliency map of image passed to SightSpotDetector constructor.
Parameters
----------
type : 'raw' or 'precise'
Specifies whenever segmentation will be used to improve saliency map (slower).
Returns
-------
out : PIL.Image
Heatmap.
"""
if type == 'raw':
if self._raw_heatmap == None:
saliency_map = self._get_saliency_map(type)
self._raw_heatmap = SightSpotUtil.eval_heatmap(saliency_map)
return self._raw_heatmap.copy()
if type == 'precise':
if self._precise_heatmap == None:
fusion_map = self._get_saliency_map(type)
self._precise_heatmap = SightSpotUtil.eval_heatmap(fusion_map)
return self._precise_heatmap.copy()
raise Exception('Unknown argument value type = "' + str(type) + '"')
def get_heatmap(self, type='raw'):
"""
Returns heatmap calculated from saliency map of image passed to SightSpotDetector constructor.
Parameters
----------
type : 'raw' or 'precise'
Specifies whenever segmentation will be used to improve saliency map (slower).
Returns
-------
out : PIL.Image
Heatmap.
"""
if type == 'raw':
if self._raw_heatmap == None:
saliency_map = self._get_saliency_map(type)
self._raw_heatmap = SightSpotUtil.eval_heatmap(saliency_map)
return self._raw_heatmap.copy()
if type == 'precise':
if self._precise_heatmap == None:
fusion_map = self._get_saliency_map(type)
self._precise_heatmap = SightSpotUtil.eval_heatmap(fusion_map)
return self._precise_heatmap.copy()
raise Exception('Unknown argument value type = "' + str(type) + '"')
__author__ = 'Igor Ryabtsov aka Tinnulion'
__copyright__ = 'Copyright (c) 2014'
__license__ = 'Apache 2.0'
__version__ = '1.0'
import time
import numpy
from PIL import Image
import SightSpotUtil
if __name__ == '__main__':
print 'Calculate saliency map for test image:'
image = Image.open('flower.jpg')
rgb_image = numpy.asarray(image, dtype='float32')
orgb_image = SightSpotUtil.eval_orgb_image(rgb_image)
start = time.clock()
saliency_map = SightSpotUtil.eval_saliency_map(orgb_image, 3.0, 60.0,
'auto')
print 'Saliency map extracted in', time.clock() - start, 'sec.'
start = time.clock()
heatmap_image = SightSpotUtil.eval_heatmap(saliency_map)
print 'Heatmap extracted in', time.clock() - start, 'sec.'
saliency_image = Image.fromarray(saliency_map * 255)
image.show('Source image')
saliency_image.show('Saliency image')
heatmap_image.show('Heatmap')
"""
__author__ = 'Igor Ryabtsov aka Tinnulion'
__copyright__ = 'Copyright (c) 2014'
__license__ = 'Apache 2.0'
__version__ = '1.0'
import time
import numpy
from PIL import Image
import SightSpotUtil
if __name__ == '__main__':
print 'Calculate saliency map for test image:'
image = Image.open('flower.jpg')
rgb_image = numpy.asarray(image, dtype='float32')
orgb_image = SightSpotUtil.eval_orgb_image(rgb_image)
start = time.clock()
saliency_map = SightSpotUtil.eval_saliency_map(orgb_image, 3.0, 60.0, 'auto')
print 'Saliency map extracted in', time.clock() - start, 'sec.'
start = time.clock()
heatmap_image = SightSpotUtil.eval_heatmap(saliency_map)
print 'Heatmap extracted in', time.clock() - start, 'sec.'
saliency_image = Image.fromarray(saliency_map * 255)
image.show('Source image')
saliency_image.show('Saliency image')
heatmap_image.show('Heatmap')