def evidence_to_result(num=999, overwrite=None, save=True):
if overwrite:
ves, mem, syn = overwrite
else:
ves, mem, syn = load_evidence(num)
c = ClusterAnalysis(ves, mem, syn)
if save:
if not overwrite:
synv.seek(num)
save_results(num, synv, c)
return c
def compare_results(num):
import os
path = 'Comparison/%d' % num
imgv.seek(num)
synv.seek(num)
try:
os.mkdir(path)
except:
pass
c = evidence_to_result(num, None, False)
c.image_clusters(areas=True, only_synapses=True, background=imgv).save(path+'/My Result.tif')
imgv.red_mark(synv).save(path+'/Verification Result.tif')
imgv.save(path+'/Original Image.tif')
ves, mem, syn = load_evidence(num)
synv.red_mark(mem).blue_mark(ves).green_mark(syn).save(path+'/fusion.png')
c = evidence_to_result(num, None, False)
c.image_clusters(areas=True, only_synapses=True, background=imgv).save(path+'/My Result.tif')
imgv.red_mark(synv).save(path+'/Verification Result.tif')
imgv.save(path+'/Original Image.tif')
ves, mem, syn = load_evidence(num)
synv.red_mark(mem).blue_mark(ves).green_mark(syn).save(path+'/fusion.png')
if __name__=='__main__':
if len(sys.argv)==2:
NUM = int(sys.argv[1])
else:
NUM = 2
print NUM
imgv.seek(NUM)
synv.seek(NUM)
if DEBUG:
ves, mem, syn = load_evidence(NUM)
else:
ves, mem, syn = get_evidence(imgv, NUM)
compare_results(0)