import time
db = redis.StrictRedis(host='localhost', port=6379, db=0)
# make sure there isn't stale data
db.flushall()
num_keypoints = 1000
keypoints = KeypointVector()
for i in range(num_keypoints):
k = Keypoint(i ,i+1, i+2)
keypoints.append(k)
# detect keypoints
detector = Detector()
detector.fake_detect(keypoints)
keypoints = detector.keypoints
# save
value = detector.saveKeypoints()
num_operations = 1000
# time insertion
istime = time.time()
for i in range(num_operations):
value = detector.saveKeypoints()
db.set(i, value)
ietime = time.time()
iduration = int((ietime - istime) * 1000)
import numpy as np
#kps = [Keypoint(1.0, 2.0, 3.0),
#Keypoint(4.0, 5.0, 6.0),
#Keypoint(7.0, 8.0, 9.0)]
# construct image
data = np.array([10, 20, 30, 40, 50, 60], dtype=np.uint8)
image = Image(3, 2, data)
image.f**k()
#image = Image(3, 2)
# keypoints[2] = Keypoint(1000,2000,3000)
# detect keypoints
detector = Detector()
detector.detect(image)
keypoints = detector.keypoints
filename = "keypoints.bin"
keypoints = detector.keypoints
# get features from keypoints
extractor = Extractor()
extractor.extract(keypoints)
features = extractor.getFeatures()
extractor.fuckWithFeatures()
