import os.path
import time
home = os.path.expanduser('~')
filename = home + os.path.sep + 'src/python/examples/data/crowd.jpg'
filename = home + os.path.sep + 'src/python/examples/data/lenna.tif'
#filename = home + os.path.sep + 'src/python/examples/data/redhat.ppm'
#filename = home + os.path.sep + 'src/python/examples/data/lenna_color.tif'
src = cv2.imread(filename)
map1, map2 = ipcv.map_rotation_scale(src, rotation=30, scale=[1.3, 0.8])
startTime = time.clock()
dst = ipcv.remap(src,
map1,
map2,
interpolation=ipcv.INTER_NEAREST,
borderMode=ipcv.BORDER_CONSTANT,
borderValue=0)
elapsedTime = time.clock() - startTime
print('Elapsed time (remap) = {0} [s]'.format(elapsedTime))
srcName = 'Source (' + filename + ')'
cv2.namedWindow(srcName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(srcName, src)
dstName = 'Destination (' + filename + ')'
cv2.namedWindow(dstName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(dstName, dst)
ipcv.flush()
if linesRead > 2:
data = line.rstrip().split()
srcX.append(float(data[0]))
srcY.append(float(data[1]))
mapX.append(float(data[2]))
mapY.append(float(data[3]))
f.close()
startTime = time.clock()
map1, map2 = ipcv.map_gcp(src, map, srcX, srcY, mapX, mapY, order=2)
elapsedTime = time.clock() - startTime
print('Elapsed time (map creation) = {0} [s]'.format(elapsedTime))
startTime = time.clock()
# dst = cv2.remap(src, map1, map2, cv2.INTER_NEAREST)
dst = ipcv.remap(src, map1, map2, ipcv.INTER_NEAREST)
elapsedTime = time.clock() - startTime
print('Elapsed time (remap) = {0} [s]'.format(elapsedTime))
srcName = 'Source (' + imgFilename + ')'
cv2.namedWindow(srcName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(srcName, src)
mapName = 'Map (' + mapFilename + ')'
cv2.namedWindow(mapName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(mapName, map)
dstName = 'Warped (' + mapFilename + ')'
cv2.namedWindow(dstName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(dstName, dst)
if __name__ == '__main__':
import os.path
import time
import cv2
import ipcv
import numpy
home = os.path.expanduser('~')
filename = home + os.path.sep + 'src/python/examples/data/sparse_checkerboard.tif'
src = cv2.imread(filename, cv2.IMREAD_UNCHANGED)
maps = ipcv.map_rotation_scale(src, 0, [0.5, 0.5])
src = ipcv.remap(src, maps[0], maps[1])
M = (2**8)
N = (2**8)
f = numpy.ones((M, N), dtype=numpy.complex128)
f = src.astype(numpy.complex128)
if f.shape[2] == 1:
f = numpy.reshape(f, (f.shape[0], f.shape[1]))
#reals = f.real
#imag = f.imag
repeats = 2
print('Repetitions = {0}'.format(repeats))
startTime = time.clock()
for repeat in range(repeats):
F = ipcv.dft2(f, method='break', verbose=True)
string = 'Average time per transform = {0:.8f} [s] '
string += '({1}x{2}-point DFT2)'
print(string.format((time.clock() - startTime) / repeats, M, N))
home = os.path.expanduser('~')
#filename = home + os.path.sep + 'src/python/examples/data/crowd.jpg'
filename = home + os.path.sep + 'src/python/examples/data/lenna.tif'
#filename = home + os.path.sep + 'src/python/examples/data/photo1.png'
#filename = home + os.path.sep + 'src/python/examples/data/jernigan_joseph_paul.jpg'
src = cv2.imread(filename)
startTime = time.clock()
map1, map2 = ipcv.map_rotation_scale(src, rotation=45, scale=[2, 2])
elapsedTime = time.clock() - startTime
print('Elapsed time (RST) = {0} [s]'.format(elapsedTime))
startTime = time.clock()
dst = ipcv.remap(src,
map1,
map2,
cv2.INTER_NEAREST,
borderMode=ipcv.BORDER_REPLICATE)
elapsedTime = time.clock() - startTime
print('Elapsed time (remap) = {0} [s]'.format(elapsedTime))
srcName = 'Source (' + filename + ')'
cv2.namedWindow(srcName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(srcName, src)
dstName = 'Destination (' + filename + ')'
cv2.namedWindow(dstName, cv2.WINDOW_AUTOSIZE)
cv2.imshow(dstName, dst)
ipcv.flush()