Chiebot-Mirror
/
opencv
mirror of https://github.com/opencv/opencv.git
8
0
Fork 0
Code Issues Projects Releases Wiki Activity

samples: fix python samples compatibility with demo.py

Browse Source
pull/14124/head
Alexander Alekhin 6 years ago committed by Alexander Alekhin
parent a509ec0d91
commit fbed33cc1f
3 changed files with 95 additions and 111 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 10
      samples/python/dis_opt_flow.py
  2. 51
      samples/python/stitching.py
  3. 145
      samples/python/stitching_detailed.py

10
samples/python/dis_opt_flow.py
Unescape View File

@ -18,6 +18,7 @@ from __future__ import print_function
import numpy as np
import cv2 as cv
import video
@ -56,7 +57,7 @@ def warp_flow(img, flow):
return res
if __name__ == '__main__':
def main():
import sys
print(__doc__)
try:
@ -111,4 +112,11 @@ if __name__ == '__main__':
if ch == ord('4'):
use_temporal_propagation = not use_temporal_propagation
print('temporal propagation is', ['off', 'on'][use_temporal_propagation])
print('Done')
if __name__ == '__main__':
print(__doc__)
main()
cv.destroyAllWindows()

51
samples/python/stitching.py
Unescape View File

@ -8,15 +8,18 @@ Show how to use Stitcher API from python in a simple way to stitch panoramas
or scans.
'''
# Python 2/3 compatibility
from __future__ import print_function
import cv2 as cv
import numpy as np
import cv2 as cv
import argparse
import sys
modes = (cv.Stitcher_PANORAMA, cv.Stitcher_SCANS)
parser = argparse.ArgumentParser(description='Stitching sample.')
parser = argparse.ArgumentParser(prog='stitching.py', description='Stitching sample.')
parser.add_argument('--mode',
type = int, choices = modes, default = cv.Stitcher_PANORAMA,
help = 'Determines configuration of stitcher. The default is `PANORAMA` (%d), '
@ -25,23 +28,35 @@ parser.add_argument('--mode',
parser.add_argument('--output', default = 'result.jpg',
help = 'Resulting image. The default is `result.jpg`.')
parser.add_argument('img', nargs='+', help = 'input images')
args = parser.parse_args()
# read input images
imgs = []
for img_name in args.img:
img = cv.imread(img_name)
if img is None:
print("can't read image " + img_name)
__doc__ += '\n' + parser.format_help()
def main():
args = parser.parse_args()
# read input images
imgs = []
for img_name in args.img:
img = cv.imread(cv.samples.findFile(img_name))
if img is None:
print("can't read image " + img_name)
sys.exit(-1)
imgs.append(img)
stitcher = cv.Stitcher.create(args.mode)
status, pano = stitcher.stitch(imgs)
if status != cv.Stitcher_OK:
print("Can't stitch images, error code = %d" % status)
sys.exit(-1)
imgs.append(img)
stitcher = cv.Stitcher.create(args.mode)
status, pano = stitcher.stitch(imgs)
cv.imwrite(args.output, pano);
print("stitching completed successfully. %s saved!" % args.output)
print('Done')
if status != cv.Stitcher_OK:
print("Can't stitch images, error code = %d" % status)
sys.exit(-1)
cv.imwrite(args.output, pano);
print("stitching completed successfully. %s saved!" % args.output)
if __name__ == '__main__':
print(__doc__)
main()
cv.destroyAllWindows()

145
samples/python/stitching_detailed.py
Unescape View File

@ -1,97 +1,50 @@
"""Rotation model images stitcher.
stitching_detailed img1 img2 [...imgN] [flags]
Flags:
--preview
Run stitching in the preview mode. Works faster than usual mode,
but output image will have lower resolution.
--try_cuda (yes|no)
Try to use CUDA. The default value is 'no'. All default values
are for CPU mode.
\nMotion Estimation Flags:
--work_megapix <float>
Resolution for image registration step. The default is 0.6 Mpx.
--features (surf|orb|sift)
Type of features used for images matching. The default is surf.
--matcher (homography|affine)
Matcher used for pairwise image matching.
--estimator (homography|affine)
Type of estimator used for transformation estimation.
--match_conf <float>
Confidence for feature matching step. The default is 0.65 for surf and 0.3 for orb.
--conf_thresh <float>
Threshold for two images are from the same panorama confidence.
The default is 1.0.
--ba (no|reproj|ray|affine)
Bundle adjustment cost function. The default is ray.
--ba_refine_mask (mask)
Set refinement mask for bundle adjustment. It looks like 'x_xxx',
where 'x' means refine respective parameter and '_' means don't
refine one, and has the following format:
<fx><skew><ppx><aspect><ppy>. The default mask is 'xxxxx'. If bundle
adjustment doesn't support estimation of selected parameter then
the respective flag is ignored.
--wave_correct (no|horiz|vert)
Perform wave effect correction. The default is 'horiz'.
--save_graph <file_name>
Save matches graph represented in DOT language to <file_name> file.
Labels description: Nm is number of matches, Ni is number of inliers,
C is confidence.
\nCompositing Flags:
--warp (affine|plane|cylindrical|spherical|fisheye|stereographic|compressedPlaneA2B1|compressedPlaneA1.5B1|compressedPlanePortraitA2B1|compressedPlanePortraitA1.5B1|paniniA2B1|paniniA1.5B1|paniniPortraitA2B1|paniniPortraitA1.5B1|mercator|transverseMercator)
Warp surface type. The default is 'spherical'.
--seam_megapix <float>
Resolution for seam estimation step. The default is 0.1 Mpx.
--seam (no|voronoi|gc_color|gc_colorgrad)
Seam estimation method. The default is 'gc_color'.
--compose_megapix <float>
Resolution for compositing step. Use -1 for original resolution.
The default is -1.
--expos_comp (no|gain|gain_blocks)
Exposure compensation method. The default is 'gain_blocks'.
--blend (no|feather|multiband)
Blending method. The default is 'multiband'.
--blend_strength <float>
Blending strength from [0,100] range. The default is 5.
--output <result_img>
The default is 'result.jpg'.
--timelapse (as_is|crop)
Output warped images separately as frames of a time lapse movie, with 'fixed_' prepended to input file names.
--rangewidth <int>
uses range_width to limit number of images to match with.\n
"""
"""
Stitching sample (advanced)
===========================
Show how to use Stitcher API from python.
"""
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
import sys
import argparse
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='stitching_detailed')
parser.add_argument('img_names', nargs='+',help='files to stitch',type=str)
parser.add_argument('--preview',help='Run stitching in the preview mode. Works faster than usual mode but output image will have lower resolution.',type=bool,dest = 'preview' )
parser.add_argument('--try_cuda',action = 'store', default = False,help='Try to use CUDA. The default value is no. All default values are for CPU mode.',type=bool,dest = 'try_cuda' )
parser.add_argument('--work_megapix',action = 'store', default = 0.6,help=' Resolution for image registration step. The default is 0.6 Mpx',type=float,dest = 'work_megapix' )
parser.add_argument('--features',action = 'store', default = 'orb',help='Type of features used for images matching. The default is orb.',type=str,dest = 'features' )
parser.add_argument('--matcher',action = 'store', default = 'homography',help='Matcher used for pairwise image matching.',type=str,dest = 'matcher' )
parser.add_argument('--estimator',action = 'store', default = 'homography',help='Type of estimator used for transformation estimation.',type=str,dest = 'estimator' )
parser.add_argument('--match_conf',action = 'store', default = 0.3,help='Confidence for feature matching step. The default is 0.65 for surf and 0.3 for orb.',type=float,dest = 'match_conf' )
parser.add_argument('--conf_thresh',action = 'store', default = 1.0,help='Threshold for two images are from the same panorama confidence.The default is 1.0.',type=float,dest = 'conf_thresh' )
parser.add_argument('--ba',action = 'store', default = 'ray',help='Bundle adjustment cost function. The default is ray.',type=str,dest = 'ba' )
parser.add_argument('--ba_refine_mask',action = 'store', default = 'xxxxx',help='Set refinement mask for bundle adjustment. mask is "xxxxx"',type=str,dest = 'ba_refine_mask' )
parser.add_argument('--wave_correct',action = 'store', default = 'horiz',help='Perform wave effect correction. The default is "horiz"',type=str,dest = 'wave_correct' )
parser.add_argument('--save_graph',action = 'store', default = None,help='Save matches graph represented in DOT language to <file_name> file.',type=str,dest = 'save_graph' )
parser.add_argument('--warp',action = 'store', default = 'plane',help='Warp surface type. The default is "spherical".',type=str,dest = 'warp' )
parser.add_argument('--seam_megapix',action = 'store', default = 0.1,help=' Resolution for seam estimation step. The default is 0.1 Mpx.',type=float,dest = 'seam_megapix' )
parser.add_argument('--seam',action = 'store', default = 'no',help='Seam estimation method. The default is "gc_color".',type=str,dest = 'seam' )
parser.add_argument('--compose_megapix',action = 'store', default = -1,help='Resolution for compositing step. Use -1 for original resolution.',type=float,dest = 'compose_megapix' )
parser.add_argument('--expos_comp',action = 'store', default = 'no',help='Exposure compensation method. The default is "gain_blocks".',type=str,dest = 'expos_comp' )
parser.add_argument('--expos_comp_nr_feeds',action = 'store', default = 1,help='Number of exposure compensation feed.',type=np.int32,dest = 'expos_comp_nr_feeds' )
parser.add_argument('--expos_comp_nr_filtering',action = 'store', default = 2,help='Number of filtering iterations of the exposure compensation gains',type=float,dest = 'expos_comp_nr_filtering' )
parser.add_argument('--expos_comp_block_size',action = 'store', default = 32,help='BLock size in pixels used by the exposure compensator.',type=np.int32,dest = 'expos_comp_block_size' )
parser.add_argument('--blend',action = 'store', default = 'multiband',help='Blending method. The default is "multiband".',type=str,dest = 'blend' )
parser.add_argument('--blend_strength',action = 'store', default = 5,help='Blending strength from [0,100] range.',type=np.int32,dest = 'blend_strength' )
parser.add_argument('--output',action = 'store', default = 'result.jpg',help='The default is "result.jpg"',type=str,dest = 'output' )
parser.add_argument('--timelapse',action = 'store', default = None,help='Output warped images separately as frames of a time lapse movie, with "fixed_" prepended to input file names.',type=str,dest = 'timelapse' )
parser.add_argument('--rangewidth',action = 'store', default = -1,help='uses range_width to limit number of images to match with.',type=int,dest = 'rangewidth' )
parser = argparse.ArgumentParser(prog='stitching_detailed.py', description='Rotation model images stitcher')
parser.add_argument('img_names', nargs='+',help='files to stitch',type=str)
parser.add_argument('--preview',help='Run stitching in the preview mode. Works faster than usual mode but output image will have lower resolution.',type=bool,dest = 'preview' )
parser.add_argument('--try_cuda',action = 'store', default = False,help='Try to use CUDA. The default value is no. All default values are for CPU mode.',type=bool,dest = 'try_cuda' )
parser.add_argument('--work_megapix',action = 'store', default = 0.6,help=' Resolution for image registration step. The default is 0.6 Mpx',type=float,dest = 'work_megapix' )
parser.add_argument('--features',action = 'store', default = 'orb',help='Type of features used for images matching. The default is orb.',type=str,dest = 'features' )
parser.add_argument('--matcher',action = 'store', default = 'homography',help='Matcher used for pairwise image matching.',type=str,dest = 'matcher' )
parser.add_argument('--estimator',action = 'store', default = 'homography',help='Type of estimator used for transformation estimation.',type=str,dest = 'estimator' )
parser.add_argument('--match_conf',action = 'store', default = 0.3,help='Confidence for feature matching step. The default is 0.65 for surf and 0.3 for orb.',type=float,dest = 'match_conf' )
parser.add_argument('--conf_thresh',action = 'store', default = 1.0,help='Threshold for two images are from the same panorama confidence.The default is 1.0.',type=float,dest = 'conf_thresh' )
parser.add_argument('--ba',action = 'store', default = 'ray',help='Bundle adjustment cost function. The default is ray.',type=str,dest = 'ba' )
parser.add_argument('--ba_refine_mask',action = 'store', default = 'xxxxx',help='Set refinement mask for bundle adjustment. mask is "xxxxx"',type=str,dest = 'ba_refine_mask' )
parser.add_argument('--wave_correct',action = 'store', default = 'horiz',help='Perform wave effect correction. The default is "horiz"',type=str,dest = 'wave_correct' )
parser.add_argument('--save_graph',action = 'store', default = None,help='Save matches graph represented in DOT language to <file_name> file.',type=str,dest = 'save_graph' )
parser.add_argument('--warp',action = 'store', default = 'plane',help='Warp surface type. The default is "spherical".',type=str,dest = 'warp' )
parser.add_argument('--seam_megapix',action = 'store', default = 0.1,help=' Resolution for seam estimation step. The default is 0.1 Mpx.',type=float,dest = 'seam_megapix' )
parser.add_argument('--seam',action = 'store', default = 'no',help='Seam estimation method. The default is "gc_color".',type=str,dest = 'seam' )
parser.add_argument('--compose_megapix',action = 'store', default = -1,help='Resolution for compositing step. Use -1 for original resolution.',type=float,dest = 'compose_megapix' )
parser.add_argument('--expos_comp',action = 'store', default = 'no',help='Exposure compensation method. The default is "gain_blocks".',type=str,dest = 'expos_comp' )
parser.add_argument('--expos_comp_nr_feeds',action = 'store', default = 1,help='Number of exposure compensation feed.',type=np.int32,dest = 'expos_comp_nr_feeds' )
parser.add_argument('--expos_comp_nr_filtering',action = 'store', default = 2,help='Number of filtering iterations of the exposure compensation gains',type=float,dest = 'expos_comp_nr_filtering' )
parser.add_argument('--expos_comp_block_size',action = 'store', default = 32,help='BLock size in pixels used by the exposure compensator.',type=np.int32,dest = 'expos_comp_block_size' )
parser.add_argument('--blend',action = 'store', default = 'multiband',help='Blending method. The default is "multiband".',type=str,dest = 'blend' )
parser.add_argument('--blend_strength',action = 'store', default = 5,help='Blending strength from [0,100] range.',type=np.int32,dest = 'blend_strength' )
parser.add_argument('--output',action = 'store', default = 'result.jpg',help='The default is "result.jpg"',type=str,dest = 'output' )
parser.add_argument('--timelapse',action = 'store', default = None,help='Output warped images separately as frames of a time lapse movie, with "fixed_" prepended to input file names.',type=str,dest = 'timelapse' )
parser.add_argument('--rangewidth',action = 'store', default = -1,help='uses range_width to limit number of images to match with.',type=int,dest = 'rangewidth' )
__doc__ += '\n' + parser.format_help()
def main():
args = parser.parse_args()
img_names=args.img_names
print(img_names)
@ -167,9 +120,9 @@ if __name__ == '__main__':
is_seam_scale_set = False
is_compose_scale_set = False;
for name in img_names:
full_img = cv.imread(name)
full_img = cv.imread(cv.samples.findFile(name))
if full_img is None:
print("Cannot read image ",name)
print("Cannot read image ", name)
exit()
full_img_sizes.append((full_img.shape[1],full_img.shape[0]))
if work_megapix < 0:
@ -401,8 +354,16 @@ if __name__ == '__main__':
result_mask=None
result,result_mask = blender.blend(result,result_mask)
cv.imwrite(result_name,result)
zoomx =600/result.shape[1]
zoomx = 600.0 / result.shape[1]
dst=cv.normalize(src=result,dst=None,alpha=255.,norm_type=cv.NORM_MINMAX,dtype=cv.CV_8U)
dst=cv.resize(dst,dsize=None,fx=zoomx,fy=zoomx)
cv.imshow(result_name,dst)
cv.waitKey()
print('Done')
if __name__ == '__main__':
print(__doc__)
main()
cv.destroyAllWindows()

Write Preview
Loading…
Cancel
Save