def index(Dataset):
indexfile = 'index.csv'
dataset = Dataset
cd = descriptor((8, 12, 3))
output = open(indexfile, "w")
for imagePath in glob.glob(dataset + "*.jpg"):
imageID = imagePath[imagePath.rfind("/") + 1:]
image = cv2.imread(imagePath)
features = cd.describe(image)
features = [str(f) for f in features]
output.write("%s,%s\n" % (imageID, ",".join(features)))
for imagePath in glob.glob(dataset + "*.png"):
imageID = imagePath[imagePath.rfind("/") + 1:]
image = cv2.imread(imagePath)
features = cd.describe(image)
features = [str(f) for f in features]
output.write("%s,%s\n" % (imageID, ",".join(features)))
output.close()
def index(Dataset):
indexfile='index.csv'
dataset=Dataset
cd=descriptor((8,12,3))
output=open(indexfile,"w")
for imagePath in glob.glob(dataset+"*.jpg"):
imageID=imagePath[imagePath.rfind("/")+1:]
image=cv2.imread(imagePath)
features=cd.describe(image)
features=[str(f) for f in features]
output.write("%s,%s\n" % (imageID,",".join(features) ) )
output.close()
def matcher(Dataset,Query):
dataset='uploads'
query_image=Query
index='index.csv'
res=0
res1=0
cd=descriptor((8,12,3))
query=cv2.imread(query_image)
gray=cv2.cvtColor(query,cv2.COLOR_BGR2GRAY)
cv2.imwrite('grey.jpg',gray)
query_grey=cv2.imread('grey.jpg')
features=cd.describe(query)
features_grey=cd.describe(query_grey)
searcher=Searcher(index)
results=searcher.search(features)
results_grey=searcher.search(features_grey)
#cv2.imshow("Query",query)
for (score,resultID) in results:
result=cv2.imread(dataset+resultID)
#m=match(query_image,dataset+resultID)
#cv2.imshow("Result",result)
print(resultID)
if score < 7.95:
print(score)
t=math.floor(score)
res=100-t
print(100-t)
else:
print(score)
t=math.floor(score)
res=t
print(t+t)
#cv2.waitKey(0)
print("---------------grey---------------")
for (score,resultID) in results_grey:
result=cv2.imread(dataset+resultID)
#cv2.imshow("Result",result)
print(resultID)
if score < 7.95:
print(score)
t=math.floor(score)
res1=100-t
print(100-t)
else:
print(score)
t=math.floor(score)
res1=t
print(t+t)
#cv2.waitKey(0)
return (res,res1)
def matcher(Dataset, Query):
dataset = 'uploads'
query_image = Query
index = 'index.csv'
res = 0
res1 = 0
cd = descriptor((8, 12, 3))
query = cv2.imread(query_image)
gray = cv2.cvtColor(query, cv2.COLOR_BGR2GRAY)
cv2.imwrite('grey.jpg', gray)
query_grey = cv2.imread('grey.jpg')
features = cd.describe(query)
features_grey = cd.describe(query_grey)
searcher = Searcher(index)
results = searcher.search(features)
results_grey = searcher.search(features_grey)
#cv2.imshow("Query",query)
for (score, resultID) in results:
result = cv2.imread(dataset + resultID)
#m=match(query_image,dataset+resultID)
#cv2.imshow("Result",result)
print(resultID)
if score < 7.95:
print(score)
t = math.floor(score)
res = 100 - t
print(100 - t)
else:
print(score)
t = math.floor(score)
res = t
print(t + t)
#cv2.waitKey(0)
print("---------------grey---------------")
for (score, resultID) in results_grey:
result = cv2.imread(dataset + resultID)
#cv2.imshow("Result",result)
print(resultID)
if score < 7.95:
print(score)
t = math.floor(score)
res1 = 100 - t
print(100 - t)
else:
print(score)
t = math.floor(score)
res1 = t
print(t + t)
#cv2.waitKey(0)
return (res, res1)
