OutDir = "mid-level/" + techniqueLow + "/DR2/" + techniqueMid + "/additional/" + lesion + "/"
for label in ["+1","-1"]:
# describe the normal images
if label == "-1": lesion = "imagem-normal"
lesion_en = en[lesion]
if image == "":
if type == "DR2" and (lesion == "hemorragia-superficial" or lesion == "hemorragia-profunda"):
listImages = os.listdir("datasets/" + type + "-images-by-lesions/Red Lesions")
else:
listImages = os.listdir("datasets/" + type + "-images-by-lesions/" + lesion_en)
else: listImages = [image]
for im in listImages:
im_special = common_functions.specialName(im)
if os.path.exists(OutDir + im[:-3] + "hist"): continue
# define the output file (histogram)
OutFile = OutDir + im[:-3] + "hist"
f = open(OutFile,"wb")
# get the points of interest
PoIsTemp = open(PoIsDir + im[:-3] + "key","rb").readlines()
PoIs = []
for i in range(2,len(PoIsTemp),2):
PoIs.append([ float(p) for p in PoIsTemp[i].split() ])
PoIs = numpy.asarray(PoIs)
sys.stdout.write(". ")
sys.stdout.flush()
OutDir = "mid-level/" + techniqueLow + "/DR2/" + techniqueMid + "/additional/" + lesion + "/"
for label in ["+1","-1"]:
# describe the normal images
if label == "-1": lesion = "imagem-normal"
lesion_en = en[lesion]
if image == "":
if type == "DR2" and (lesion == "hemorragia-superficial" or lesion == "hemorragia-profunda"):
listImages = os.listdir("datasets/" + type + "-images-by-lesions/Red Lesions")
else:
listImages = os.listdir("datasets/" + type + "-images-by-lesions/" + lesion_en)
else: listImages = [image]
for im in listImages:
im_special = common_functions.specialName(im)
if os.path.exists(OutDir + im[:-3] + "hist"): continue
# define the output file (histogram)
OutFile = OutDir + im[:-3] + "hist"
f = open(OutFile,"wb")
# get the points of interest
PoIsTemp = open(PoIsDir + im[:-3] + "key","rb").readlines()
PoIs = []
for i in range(2,len(PoIsTemp),2):
PoIs.append([ float(p) for p in PoIsTemp[i].split() ])
PoIs = numpy.asarray(PoIs)
sys.stdout.write(". ")
sys.stdout.flush()
else: print "\n\nTest images -", type
for lesion in lesions:
if type == "DR2" and (lesion == "hemorragia-superficial"
or lesion == "hemorragia-profunda"):
continue
lesion_en = en[lesion]
print lesion_en
listImages = os.listdir("datasets/" + type + "-images-by-lesions/" +
lesion_en)
start = timeit.default_timer()
for im in listImages:
sys.stdout.write(". ")
sys.stdout.flush()
im_special = common_functions.specialName(im)
for technique in techniques:
if os.path.exists(directory + technique + "/" + type + "/" +
im[:-3] + "key"):
continue
fAux = open(
directory + technique + "/" + type + "/" + im[:-3] + "key",
"wb")
if technique == "sparse":
sparseExtraction(
im_special, technique, type,
"datasets/" + type + "-images-by-lesions/" +
common_functions.specialName(lesion_en))
common_functions.organizeFileSurfToDescriptor(directory +
print "################################################"
for type in [train,test]:
if type == train: print "Training images -", type
else: print "\n\nTest images -", type
for lesion in lesions:
if type == "DR2" and (lesion == "hemorragia-superficial" or lesion == "hemorragia-profunda"): continue
lesion_en = en[lesion]
print lesion_en
listImages = os.listdir("datasets/" + type + "-images-by-lesions/" + lesion_en)
start = timeit.default_timer()
for im in listImages:
sys.stdout.write(". ")
sys.stdout.flush()
im_special = common_functions.specialName(im)
for technique in techniques:
if os.path.exists(directory + technique + "/" + type + "/" + im[:-3] + "key"): continue
fAux = open(directory + technique + "/" + type + "/" + im[:-3] + "key","wb")
if technique == "sparse":
sparseExtraction(im_special, technique, type, "datasets/" + type + "-images-by-lesions/" + common_functions.specialName(lesion_en))
common_functions.organizeFileSurfToDescriptor(directory + technique + "/" + type + "/" + im[:-3] + "key")
common_functions.filterPoints(type, technique, im)
else:
denseExtraction(im, im_special, technique, type, "datasets/" + type + "-images-by-lesions/" + common_functions.specialName(lesion_en))
common_functions.organizeFileSurfToDescriptor(directory + technique + "/" + type + "/" + im[:-3] + "key")
stop = timeit.default_timer()
sys.stdout.write(common_functions.convertTime(stop - start) + "\n")
