def test_image_across_descriptor(image_fname):
img = cv2.imread(image_fname)
first_description = None
for i, key in enumerate(dd.keys()):
methodToCall = getattr(descriptor_definitions, key)
descriptor = methodToCall()
preprocessed = descriptor.do_preprocess(img)
description = descriptor.describe(img)
if first_description is None:
first_description = description
distance = EuclideanComparator().compare(first_description["value"], description["value"])
print "distance=%s" % distance
plt.subplot(2, 3, i + 1), plt.imshow(preprocessed, 'gray')
plt.title("%s_%s" % (key[0], image_fname))
def test_datasets():
total = -1
for key in dd.keys():
total = test_dataset(key, total + 1)
def test_datasets():
total = -1
for key in dd.keys():
total = test_dataset(key, total + 1)
# i = descriptor.do_preprocess(img)
# cv2.imshow("test", i)
print "fname=%s" % fname
description = descriptor.describe(img)
if description is not None:
description["value"] = description["value"].tolist()
data[fname[:-4]] = description
descriptor_data["data"] = data
descriptor_fname = "datasets/%s" % (key)
with open(descriptor_fname, 'w') as outfile:
json.dump(descriptor_data, outfile, indent=2)
for key in dd.keys():
descriptor_fname = "datasets/%s" % (key)
if not os.path.isfile(descriptor_fname):
create_ds(key)
# def create_dataset(create_descriptor, dname):
# dataset_fname = "datasets/%s" % dname
# if not os.path.isfile(dataset_fname):
# data = {}
# for fname in os.listdir("data/"):
# print "fname=%s" % fname
# if ".jpg" in fname:
# image_detail ={
# "fname": "data/%s" % fname
# }
# # img = cv2.imread("data/%s" % fname)
# cv2.imshow("test", i)
print "fname=%s" % fname
description = descriptor.describe(img)
if description is not None:
description["value"] = description["value"].tolist()
data[fname[:-4]] = description
descriptor_data["data"] = data
descriptor_fname = "datasets/%s" % (key)
with open(descriptor_fname, 'w') as outfile:
json.dump(descriptor_data, outfile, indent=2)
for key in dd.keys():
descriptor_fname = "datasets/%s" % (key)
if not os.path.isfile(descriptor_fname):
create_ds(key)
# def create_dataset(create_descriptor, dname):
# dataset_fname = "datasets/%s" % dname
# if not os.path.isfile(dataset_fname):
# data = {}
# for fname in os.listdir("data/"):
# print "fname=%s" % fname
# if ".jpg" in fname:
# image_detail ={
# "fname": "data/%s" % fname
# }
