def print_diffs(pic1, pic2, sift_or_surf):
matches_1, matches_2 = removematches(pic1, pic2, sift_or_surf)
orig_1 = h.points_ok(np.load(pic1[:-4] + ".npy"), sift_or_surf)
orig_2 = h.points_ok(np.load(pic2[:-4] + ".npy"), sift_or_surf)
print(matches_1)
# print(orig_1)
# print(orig_2)
# print(matches_1)
# print(matches_2)
with open("detector-matches.txt", "a") as file:
file.write(
pic1
+ "\t"
+ str(orig_1[11])
+ "\t"
+ str(orig_1[12])
+ "\t"
+ str(orig_1[16])
+ "\t"
+ str(orig_1[17])
+ "\t"
+ str(matches_1[11])
+ "\t"
+ str(matches_1[12])
+ "\t"
+ str(matches_1[16])
+ "\t\t"
+ str(matches_1[17])
+ "\n"
)
file.write(
pic2
+ "\t"
+ str(orig_2[11])
+ "\t"
+ str(orig_2[12])
+ "\t"
+ str(orig_2[16])
+ "\t"
+ str(orig_2[17])
+ "\t"
+ str(matches_2[11])
+ "\t"
+ str(matches_2[12])
+ "\t\t"
+ str(matches_2[16])
+ "\t\t"
+ str(matches_2[17])
+ "\n\n"
)
def print_diffs(pic1, pic2, sift_or_surf):
matches_1, matches_2 = removematches(pic1, pic2, sift_or_surf)
orig_1 = h.points_ok(np.load(pic1[:-4] + ".npy"), sift_or_surf)
orig_2 = h.points_ok(np.load(pic2[:-4] + ".npy"), sift_or_surf)
print(matches_1)
#print(orig_1)
#print(orig_2)
#print(matches_1)
#print(matches_2)
with open("detector-matches.txt", "a") as file:
file.write( \
pic1 + "\t"
+ str(orig_1[11]) + "\t" + str(orig_1[12]) + "\t" \
+ str(orig_1[16]) + "\t" + str(orig_1[17]) + "\t" \
+ str(matches_1[11]) + "\t" + str(matches_1[12]) + "\t" \
+ str(matches_1[16]) + "\t\t" + str(matches_1[17]) + "\n")
file.write( \
pic2 + "\t"
+ str(orig_2[11]) + "\t" + str(orig_2[12]) + "\t" \
+ str(orig_2[16]) + "\t" + str(orig_2[17]) + "\t" \
+ str(matches_2[11]) + "\t" + str(matches_2[12]) + "\t\t" \
+ str(matches_2[16]) + "\t\t" + str(matches_2[17]) + "\n\n")
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)