def cof():
im1 = np.array(Image.open(inpfilename).convert('L'))
im2 = np.array(Image.open(inpfilename).convert('L'))
wid = 5
harrisim = harris.compute_harris_response(im1,5)
filtered_coords1 = harris.get_harris_points(harrisim, wid+1)
d1 = harris.get_descriptors(im1, filtered_coords1,wid)
harrisim = harris.compute_harris_response(im2,5)
filtered_coords2 = harris.get_harris_points(harrisim, wid+1)
d2 = harris.get_descriptors(im2, filtered_coords2,wid)
print 'starting matching'
matches = harris.match_twosided(d1,d2)
print "matches", matches
figure()
gray()
harris.plot_matches(im1, im2, filtered_coords1, filtered_coords2, matches)
print "show the image"
show()
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 15 11:19:46 2016
@author: user
"""
from PIL import Image
from pylab import *
import harris
im = array(Image.open('../ch1/baby_16.jpg').convert('L'))
harrisim = harris.compute_harris_response(im)
filtered_coords = harris.get_harris_points(harrisim, 6)
harris.plot_harris_points(im, filtered_coords)
imshow(im)
wid = 5
im1 = array(Image.open('../ch1/baby_1.jpg').convert('L'))
harrisim = harris.compute_harris_response(im1, 5)
filtered_coords1 = harris.get_harris_points(harrisim, wid + 1)
d1 = harris.get_descriptors(im1, filtered_coords1, wid)
im2 = array(Image.open('../ch1/baby_16.jpg').convert('L'))
harrisim = harris.compute_harris_response(im2, 5)
filtered_coords2 = harris.get_harris_points(harrisim, wid + 1)
d2 = harris.get_descriptors(im2, filtered_coords2, wid)
print 'starting matching'
matches = harris.match_twosided(d1, d2)
figure()
gray()
harris.plot_matches(im1, im2, filtered_coords1, filtered_coords2, matches)
show()
im2 = array(Image.open("wave2.jpg").convert("L"))
wid = 5
t = time.time()
harrisim = harris.compute_harris_response(im1, 5)
print "t for harrisim=", time.time() - t
t = time.time()
filtered_coords1 = harris.get_harris_points(harrisim, wid + 1)
print "t for get_harris_points=", time.time() - t
t = time.time()
d1 = harris.get_descriptors(im1, filtered_coords1, wid)
print "t for get_descriptors=", time.time() - t
t = time.time()
harrisim = harris.compute_harris_response(im2, 5)
filtered_coords2 = harris.get_harris_points(harrisim, wid + 1)
d2 = harris.get_descriptors(im2, filtered_coords2, wid)
print "starting matching"
matches = harris.match_twosided(d1, d2)
figure()
gray()
harris.plot_matches(im1, im2, filtered_coords1, filtered_coords2, matches)
show()
def harris_features(im):
response = cv2.cornerHarris(im, 7, 5, 0.05)
points = harris.get_harris_points(response)
desc = harris.get_descriptors(im, points)
return points, desc
from PIL import Image
from pylab import *
import harris
#import imtools
im1 = array(Image.open('/Users/taronegeorage/Desktop/111.jpg').convert('L'))
im2 = array(Image.open('/Users/taronegeorage/Desktop/111.jpg').convert('L'))
harrisim1 = harris.compute_harris_response(im1)
filtered_coords1 = harris.get_harris_points(harrisim1)
patches1 = harris.get_descriptors(im1, filtered_coords1)
harris.plot_harris_points(im1, filtered_coords1)
harrisim2 = harris.compute_harris_response(im2)
filtered_coords2 = harris.get_harris_points(harrisim2)
patches2 = harris.get_descriptors(im2, filtered_coords2)
harris.plot_harris_points(im2, filtered_coords2)
matches = harris.match_twosided(patches1, patches2)
figure()
gray()
harris.plot_matches(im1,
im2,
filtered_coords1,
filtered_coords2,
matches,
show_below=False)
show()
from PIL import Image
from pylab import *
import harris
import imtools
im1 = array(Image.open('/Users/thakis/src/PCV/data/sf_view1.jpg').convert('L'))
im2 = array(Image.open('/Users/thakis/src/PCV/data/sf_view2.jpg').convert('L'))
harrisim1 = harris.compute_harris_response(im1)
filtered_coords1 = harris.get_harris_points(harrisim1)
patches1 = harris.get_descriptors(im1, filtered_coords1)
harris.plot_harris_points(im1, filtered_coords1)
harrisim2 = harris.compute_harris_response(im2)
filtered_coords2 = harris.get_harris_points(harrisim2)
patches2 = harris.get_descriptors(im2, filtered_coords2)
harris.plot_harris_points(im2, filtered_coords2)
matches = harris.match_twosided(patches1, patches2)
figure()
gray()
harris.plot_matches(im1, im2,
filtered_coords1, filtered_coords2,
matches, show_below=False)
show()
harris.plot_harris_points(im, filtered_coords)
# MATCHING
sigma = 5
min_dist = 8
treshold_harris = 0.5
width = 5
im1 = array(Image.open('image_1.png').convert('L'))
im2 = array(Image.open('image_2.png').convert('L'))
harrisim1 = harris.compute_harris_response(im1, sigma)
filtered_coords1 = harris.get_harris_points(harrisim1, min_dist,
treshold_harris)
harris.plot_harris_points(im1, filtered_coords1)
desc1 = harris.get_descriptors(im1, filtered_coords1, width)
harrisim2 = harris.compute_harris_response(im2, sigma)
filtered_coords2 = harris.get_harris_points(harrisim2, min_dist,
treshold_harris)
harris.plot_harris_points(im2, filtered_coords2)
desc2 = harris.get_descriptors(im2, filtered_coords2, width)
treshold_sym = 0.5
matches = harris.match_twosided(desc1, desc2, treshold_sym)
figure()
gray()
harris.plot_matches(im1, im2, filtered_coords1, filtered_coords2, matches[:10])
show()
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
from harris import compute_harris_response, get_harris_points, \
get_descriptors, match_two_sided, plot_matches, match
img1 = np.array(Image.open('images/house.jpg').convert('L'))
img2 = np.array(Image.open('images/house2.jpg').convert('L'))
wid = 100
harris_img = compute_harris_response(img1, 5)
filtered_coords1 = get_harris_points(harris_img, wid + 1)
d1 = get_descriptors(img1, filtered_coords1, wid)
harris_img = compute_harris_response(img2, 5)
filtered_coords2 = get_harris_points(harris_img, wid + 1)
d2 = get_descriptors(img2, filtered_coords2, wid)
print('[INFO] Starting Matching ')
matches = match(d1, d2)
print('[INFO] match complete')
plt.figure()
plt.gray()
plot_matches(img1, img2, filtered_coords1, filtered_coords2, matches)
plt.show()
