def sifttestsuite(pic1, pic2):
fn1 = pic1[:-4]
fn2 = pic2[:-4]
p1 = sdet.SIFT(pic1, 1.2)
p2 = sdet.SIFT(pic2, 1.2)
np.save(fn1, p1)
np.save(fn2, p2)
p1 = np.load(fn1 + ".npy")
p2 = np.load(fn2 + ".npy")
print(len(p1))
print(len(p2))
p1 = ori.sift_orientation(pic1, p1)
p2 = ori.sift_orientation(pic2, p2)
np.save(fn1, p1)
np.save(fn2, p2)
print("hier")
p1 = np.load(fn1 + ".npy")
p2 = np.load(fn2 + ".npy")
final_desc1 = sdes.sift_descriptor(pic1, p1)
final_desc2 = sdes.sift_descriptor(pic2, p2)
np.save(fn1 + "-desc", final_desc1)
np.save(fn2 + "-desc", final_desc2)
f1 = np.load(fn1 + "-desc.npy")
f2 = np.load(fn2 + "-desc.npy")
# MUST
f1 = h.transform_coordinates(f1)
f2 = h.transform_coordinates(f2)
print(len(f1))
print(len(f2))
np.save(fn1 + "-desc-trans", f1)
np.save(fn2 + "-desc-trans", f2)
f1 = np.load(fn1 + "-desc-trans.npy")
f2 = np.load(fn2 + "-desc-trans.npy")
f1 = np.load(fn1 + "-desc-trans.npy")
f2 = np.load(fn2 + "-desc-trans.npy")
#oneNN_wdist nesecary for matching as described in rapport
(p1, p2, desc1, desc2) = h.oneNN_wdist(f1[:, 1], f2[:, 1], f1[:, 0], f2[:,
0])
h.drawMatches2(pic1, p1[:32], pic2, p2[:32], [])
np.save(fn1 + "onenn-p", [p1, p2])
np.save(fn1 + "onenn-d", [desc1, desc2])
def sifttestsuite(pic1, pic2):
fn1 = pic1[:-4]
fn2 = pic2[:-4]
p1 = sdet.SIFT(pic1, 1.2)
p2 = sdet.SIFT(pic2, 1.2)
np.save(fn1, p1)
np.save(fn2, p2)
p1 = np.load(fn1 + ".npy")
p2 = np.load(fn2 + ".npy")
print(len(p1))
print(len(p2))
p1 = ori.sift_orientation(pic1, p1)
p2 = ori.sift_orientation(pic2, p2)
np.save(fn1, p1)
np.save(fn2, p2)
print("hier")
p1 = np.load(fn1 + ".npy")
p2 = np.load(fn2 + ".npy")
final_desc1 = sdes.sift_descriptor(pic1, p1)
final_desc2 = sdes.sift_descriptor(pic2, p2)
np.save(fn1 + "-desc", final_desc1)
np.save(fn2 + "-desc", final_desc2)
f1 = np.load(fn1 + "-desc.npy")
f2 = np.load(fn2 + "-desc.npy")
# MUST
f1 = h.transform_coordinates(f1)
f2 = h.transform_coordinates(f2)
print(len(f1))
print(len(f2))
np.save(fn1 + "-desc-trans", f1)
np.save(fn2 + "-desc-trans", f2)
f1 = np.load(fn1 + "-desc-trans.npy")
f2 = np.load(fn2 + "-desc-trans.npy")
f1 = np.load(fn1 + "-desc-trans.npy")
f2 = np.load(fn2 + "-desc-trans.npy")
# oneNN_wdist nesecary for matching as described in rapport
(p1, p2, desc1, desc2) = h.oneNN_wdist(f1[:, 1], f2[:, 1], f1[:, 0], f2[:, 0])
h.drawMatches2(pic1, p1[:32], pic2, p2[:32], [])
np.save(fn1 + "onenn-p", [p1, p2])
np.save(fn1 + "onenn-d", [desc1, desc2])
def removematches(pic1, pic2, sift_or_surf):
fn1 = pic1[:-4]
px = np.load(fn1 + "onenn-p.npy")
p1 = px[0]
p2 = px[1]
print("this is len p1:", len(p1))
half_p = len(p1) / 4
(p1, p2) = h.remove_bad_matches(p1, p2)
matches1 = h.points_ok(p1, sift_or_surf)
matches2 = h.points_ok(p2, sift_or_surf)
h.drawMatches2(pic1, p1, pic2, p2, [])
#h.drawMatches2(pic1, p1[:15], pic2, p2[:15], [])
print("Number of matches: ", len(p1))
with open("repeatabilitymeasure.txt", "a") as file:
det1 = len(np.load(pic1[:-4] + ".npy"))
det2 = len(np.load(pic2[:-4] + ".npy"))
mean = (det1 + det2) / 2.0
picn1 = "IMG" + "\\_" + pic1[4:-4] + ".jpg"
picn2 = "IMG" + "\\_" + pic2[4:-4] + ".jpg"
rep_mes = len(p1) / (mean * 1.0)
file.write(picn1 + " &\t" + picn2 + " &\t" + str(det1) + " &\t" + str(det2) + " &\t" + str(mean) + \
" &\t" + str(len(p1)) + " &\t" + str(rep_mes) + "\\\\ \hline\n")
return (matches1, matches2)
def removematches(pic1, pic2, sift_or_surf):
fn1 = pic1[:-4]
px = np.load(fn1 + "onenn-p.npy")
p1 = px[0]
p2 = px[1]
print("this is len p1:", len(p1))
half_p = len(p1) / 4
(p1, p2) = h.remove_bad_matches(p1, p2)
matches1 = h.points_ok(p1, sift_or_surf)
matches2 = h.points_ok(p2, sift_or_surf)
h.drawMatches2(pic1, p1, pic2, p2, [])
# h.drawMatches2(pic1, p1[:15], pic2, p2[:15], [])
print("Number of matches: ", len(p1))
with open("repeatabilitymeasure.txt", "a") as file:
det1 = len(np.load(pic1[:-4] + ".npy"))
det2 = len(np.load(pic2[:-4] + ".npy"))
mean = (det1 + det2) / 2.0
picn1 = "IMG" + "\\_" + pic1[4:-4] + ".jpg"
picn2 = "IMG" + "\\_" + pic2[4:-4] + ".jpg"
rep_mes = len(p1) / (mean * 1.0)
file.write(
picn1
+ " &\t"
+ picn2
+ " &\t"
+ str(det1)
+ " &\t"
+ str(det2)
+ " &\t"
+ str(mean)
+ " &\t"
+ str(len(p1))
+ " &\t"
+ str(rep_mes)
+ "\\\\ \hline\n"
)
return (matches1, matches2)
