文件列表:

images (0, 2022-04-11)
images\large_parallax (0, 2022-04-11)
images\large_parallax\000982.jpg (106674, 2022-04-11)
images\large_parallax\000983.jpg (110460, 2022-04-11)
images\large_parallax\000984.jpg (105894, 2022-04-11)
images\low_overlap (0, 2022-04-11)
images\low_overlap\1.jpg (91086, 2022-04-11)
images\low_overlap\2.jpg (94791, 2022-04-11)
images\low_overlap\3.jpg (97854, 2022-04-11)
images\standard (0, 2022-04-11)
images\standard\test1.png (2352027, 2022-04-11)
images\standard\test2.png (2227936, 2022-04-11)
images\standard\test3.png (2157427, 2022-04-11)
log.txt (299, 2022-04-11)
requirements.txt (53, 2022-04-11)
results (0, 2022-04-11)
results\large_parallax (0, 2022-04-11)
results\large_parallax\output_orb.png (586444, 2022-04-11)
results\large_parallax\output_orb_crop.png (519645, 2022-04-11)
results\low_overlap (0, 2022-04-11)
results\low_overlap\output_orb_lowOverlap.png (539899, 2022-04-11)
results\low_overlap\output_orb_lowOverlap_crop.png (472008, 2022-04-11)
results\standard (0, 2022-04-11)
results\standard\output_akaze.png (3738681, 2022-04-11)
results\standard\output_brisk.png (3753622, 2022-04-11)
results\standard\output_orb.png (3810282, 2022-04-11)
results\standard\output_sift.png (3776196, 2022-04-11)
stitch_cv2.py (4311, 2022-04-11)
stitching_detailed.py (25211, 2022-04-11)

# Image Fusion (Image Stitching) This is the code part of an implementation project in IEMS5707 course. ## Project Structure . ├── README.md ├── images │ ├── large_parallax │ ├── low_overlap │ └── standard ├── log.txt ├── results │ ├── large_parallax │ ├── low_overlap │ └── standard ├── stitch_cv2.py └── stitching_detailed.py The directories under ./images folder contain the image slices to be stitched. The directories under ./results folder contain the stitching result. log.txt records the types of algorithms and time-consuming. stitching_detailed.py is our main program. ## Requirements ``` imutils==0.5.4 numpy==1.21.2 opencv_python==4.5.5.*** ``` ## Usage ``` usage: stitching_detailed.py [-h] [--try_cuda TRY_CUDA] [--work_megapix WORK_MEGAPIX] [--features {orb,sift,brisk,akaze}] [--matcher {homography,affine}] [--estimator {homography,affine}] [--match_conf MATCH_CONF] [--conf_thresh CONF_THRESH] [--ba {ray,reproj,affine,no}] [--ba_refine_mask BA_REFINE_MASK] [--wave_correct {horiz,no,vert}] [--save_graph SAVE_GRAPH] [--warp {spherical,plane,affine,cylindrical,fisheye,stereographic,compressedPlaneA2B1,compressedPlaneA1.5B1,compressedPlanePortraitA2B1,compressedPlanePortraitA1.5B1,paniniA2B1,paniniA1.5B1,paniniPortraitA2B1,paniniPortraitA1.5B1,mercator,transverseMercator}] [--seam_megapix SEAM_MEGAPIX] [--seam {dp_color,dp_colorgrad,voronoi,no}] [--compose_megapix COMPOSE_MEGAPIX] [--expos_comp {gain_blocks,gain,channel,channel_blocks,no}] [--expos_comp_nr_feeds EXPOS_COMP_NR_FEEDS] [--expos_comp_nr_filtering EXPOS_COMP_NR_FILTERING] [--expos_comp_block_size EXPOS_COMP_BLOCK_SIZE] [--blend {multiband,feather,no}] [--blend_strength BLEND_STRENGTH] [--output OUTPUT] [--timelapse TIMELAPSE] [--rangewidth RANGEWIDTH] [--crop CROP] img_dir_name Rotation model images stitcher positional arguments: img_dir_name Path to input directory of images to stitch optional arguments: -h, --help show this help message and exit --try_cuda TRY_CUDA Try to use CUDA. The default value is no. All default values are for CPU mode. --work_megapix WORK_MEGAPIX Resolution for image registration step. The default is 0.6 Mpx --features {orb,sift,brisk,akaze} Type of features used for images matching. The default is 'orb'. --matcher {homography,affine} Matcher used for pairwise image matching. The default is 'homography'. --estimator {homography,affine} Type of estimator used for transformation estimation. The default is 'homography'. --match_conf MATCH_CONF Confidence for feature matching step. The default is 0.3 for ORB and 0.65 for other feature types. --conf_thresh CONF_THRESH Threshold for two images are from the same panorama confidence.The default is 1.0. --ba {ray,reproj,affine,no} Bundle adjustment cost function. The default is 'ray'. --ba_refine_mask BA_REFINE_MASK Set refinement mask for bundle adjustment. It looks like 'x_xxx', where 'x' means refine respective parameter and '_' means don't refine, and has the following format:. The default mask is 'xxxxx'. If bundle adjustment doesn't support estimation of selected parameter then the respective flag is ignored. --wave_correct {horiz,no,vert} Perform wave effect correction. The default is 'horiz' --save_graph SAVE_GRAPH Save matches graph represented in DOT language to file. --warp {spherical,plane,affine,cylindrical,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 SEAM_MEGAPIX Resolution for seam estimation step. The default is 0.1 Mpx. --seam {dp_color,dp_colorgrad,voronoi,no} Seam estimation method. The default is 'dp_color'. --compose_megapix COMPOSE_MEGAPIX Resolution for compositing step. Use -1 for original resolution. The default is -1 --expos_comp {gain_blocks,gain,channel,channel_blocks,no} Exposure compensation method. The default is 'gain_blocks'. --expos_comp_nr_feeds EXPOS_COMP_NR_FEEDS Number of exposure compensation feed. --expos_comp_nr_filtering EXPOS_COMP_NR_FILTERING Number of filtering iterations of the exposure compensation gains. --expos_comp_block_size EXPOS_COMP_BLOCK_SIZE BLock size in pixels used by the exposure compensator. The default is 32. --blend {multiband,feather,no} Blending method. The default is 'multiband'. --blend_strength BLEND_STRENGTH Blending strength from [0,100] range. The default is 5 --output OUTPUT The default is 'result.jpg' --timelapse TIMELAPSE Output warped images separately as frames of a time lapse movie, with 'fixed_' prepended to input file names. --rangewidth RANGEWIDTH uses range_width to limit number of images to match with. ``` ## Example For example, if we would like to stitch three images in ./images/low_overlap: Set output to ./results/low_overlap/output_orb_lowOverlap.png, use ORB feature detector, with cropping. `python stitching_detailed.py ./images/low_overlap --output ./results/low_overlap/output_orb_lowOverlap.png --features orb --crop 1 ` ``` SURF not available ./images/low_overlap ['./images/low_overlap/1.jpg', './images/low_overlap/2.jpg', './images/low_overlap/3.jpg'] [INFO] cropping... Done ``` There will be two output files in ./result/low_overlap, one with cropping, one without: New records added in log.txt: `orb:285.***28472137451ms` ## Reference Project https://github.com/opencv/opencv/blob/master/samples/python/stitching_detailed.py

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