def tran():
# basedir = os.path.join('.', 'examples/banklogo')
# the TEMPLATE
# im0 = sp.misc.imread(os.path.join(basedir, "moban.jpg"), True) # float32
# the image to be transformed
# im1 = sp.misc.imread(os.path.join(basedir, "bxz1.jpg"), True)
# im3 = cv2.imread(os.path.join(basedir, "moban.jpg"))
# im3 = cv2.cvtColor(im3,cv2.COLOR_BGR2GRAY) # unit8
#
# im4 = im0.astype(dtype=np.uint8)
# cv2.imshow('im0', im4)
# cv2.waitKey(0)
result = ird.translation(im0, im1)
tvec = result["tvec"].round(4)
# the Transformed IMaGe.
timg = ird.transform_img(im1, tvec=tvec)
# Maybe we don't want to show plots all the time
ird.imshow(im0, im1, timg)
plt.show()
print("Translation is {}, success rate {:.4g}".format(
tuple(tvec), result["success"]))
def xuanzhuan():
# the TEMPLATE
# the image to be transformed
im3 = sp.misc.imrotate(im1, 0.0)
ct = {'angle': (2, 5)}
# ct = None
result = ird.similarity(im0, im3, numiter=3, constraints=ct)
assert "timg" in result
# Maybe we don't want to show plots all the time
ird.imshow(im0, im3, result['timg'])
plt.show()
import os
import scipy as sp
import imageio
import imreg_dft as ird
basedir = os.path.join('..', 'examples')
# the TEMPLATE
im0 = imageio.imread(os.path.join(basedir, "sample1.png"), as_gray=True)
# the image to be transformed
im1 = imageio.imread(os.path.join(basedir, "sample3.png"), as_gray=True)
result = ird.similarity(im0, im1, numiter=3)
assert "timg" in result
# Maybe we don't want to show plots all the time
if os.environ.get("IMSHOW", "yes") == "yes":
import matplotlib.pyplot as plt
ird.imshow(im0, im1, result['timg'])
plt.show()
import os
import scipy as sp
import scipy.misc
import matplotlib.pyplot as plt
import imreg_dft as ird
basedir = os.path.join('..', 'examples')
# the TEMPLATE
im0 = sp.misc.imread(os.path.join(basedir, "sample1.png"), True)
# the image to be transformed
im1 = sp.misc.imread(os.path.join(basedir, "sample2.png"), True)
t0, t1 = ird.translation(im0, im1)
# the Transformed IMaGe.
timg = ird.transform_img(im1, tvec=(t0, t1))
ird.imshow(im0, im1, timg)
plt.show()
print(t0, t1)
import scipy.misc
import matplotlib.pyplot as plt
import imreg_dft as ird
# import imreg_dft.utils as utils
import imreg_dft.tiles as tiles
datadir = '/Users/michielk/oxdata/P01/EM/M3/stitch_example'
# dst = sp.misc.imread(os.path.join(datadir, "0000_m000.tif"), True)
# src = sp.misc.imread(os.path.join(datadir, "0001_m000.tif"), True)
full_im1, full_im2 = subsample_images(p, imgs, subsample_factor)
dst, src = select_imregions(p[2], full_im1, full_im2, overlap_pixels)
constraints = {'angle': [0,5], 'scale': [1,0]}
result = ird.similarity(dst, src, numiter=3, constraints=constraints)
ird.imshow(dst, src, result['timg'])
plt.show()
# subpixel
ird sample1.png sample3.png --resample 3 --iter 4 --lowpass 0.9,1.1 --extend 10 --print-result
import os
import scipy as sp
import scipy.misc
import matplotlib.pyplot as plt
import imreg_dft as ird
basedir = os.path.join('..', 'examples')
# the TEMPLATE
im0 = sp.misc.imread(os.path.join(basedir, "sample1.png"), True)
# the image to be transformed
im1 = sp.misc.imread(os.path.join(basedir, "sample2.png"), True)
t0, t1 = ird.translation(im0, im1)
# the Transformed IMaGe.
timg = ird.transform_img(im1, tvec=(t0, t1))
ird.imshow(im0, im1, timg)
plt.show()
print(t0, t1)
import os
import scipy as sp
import scipy.misc
import matplotlib.pyplot as plt
import imreg_dft as ird
basedir = os.path.join('..', 'examples')
# the TEMPLATE
im0 = sp.misc.imread(os.path.join(basedir, "sample1.png"), True)
# the image to be transformed
im1 = sp.misc.imread(os.path.join(basedir, "sample3.png"), True)
result = ird.similarity(im0, im1, numiter=3)
ird.imshow(im0, im1, result['timg'])
plt.show()