keys = range(num_operations)
values = db.mget(keys)
stime = time.time()
for value in values:
detector.loadKeypoints(value)
etime = time.time()
duration = int((etime - stime) * 1000)
#print "Total Get Time: %s, (%s ms/get)" %(str(duration), str(duration/float(num_operations)))
print "Total Get Time: %s, (%s ms/get)" %(str(duration), str(duration))
print "----------------------------------------\n"
# construct image
data = np.array([10, 20, 30, 40, 0, 60], dtype=np.uint8)
image = Image(3, 2, data)
# save data to redis
image.saveToRedis("image_key")
value = db.get("image_key")
#array = np.array(range(1000), dtype=np.uint8)
#string = array.tostring()
#db.set("numpy", string)
#string2 = db.get("numpy")
#array2 = np.fromstring(string, dtype=np.uint8)
#print array2
# test numpy stuff
#num = 100
#!/usr/bin/env python
import intersect
from intersect import Keypoint, Image, Detector, Extractor
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()
