def testAcquire(self):
im = self.acquireImage()
if im is None:
return
# filter
im = numpy.asarray(im, dtype=numpy.float32)
medfilt = int(self.settings['medfilt'])
lowfilt = float(self.settings['lowfilt'])
if medfilt > 1:
im = ndimage.median_filter(im, size=medfilt)
if lowfilt > 0:
im = ndimage.gaussian_filter(im, lowfilt)
self.setImage(im)
# find regions
self.logger.info('running openCVcaller.FindFeatures')
#try:
features = openCVcaller.FindFeatures(im)
#except:
# self.logger.error('openCVcaller.FindFeatures failed')
# features = []
n = len(features)
self.logger.info('Features found: %s' % (n, ))
self.displayRegions(features)
def runFindRegions(self, im):
minsize = self.settings['minsize']
maxsize = self.settings['maxsize']
#timeout = 300
#features, image = openCVcaller.FindRegions(im, minsize, maxsize)
#self.logger.info('running libCV.FindRegions, timeout = %d' % (timeout,))
#features,image = pyami.timedproc.call('leginon.openCVcaller', 'FindRegions', args=(im,minsize,maxsize), timeout=timeout)
features = openCVcaller.FindFeatures(im)
return features
def testAcquire(self):
im = self.acquireImage()
if im is None:
return
im = numpy.asarray(im, dtype=numpy.float32)
self.setImage(im)
# find regions
self.logger.info('running openCVcaller.FindFeatures')
try:
features = openCVcaller.FindFeatures(im)
except:
self.logger.error('openCVcaller.FindFeatures')
features = []
# this is copied from targetfinder:
n = len(features)
self.logger.info('Regions found: %s' % (n, ))
self.displayRegions(features)