after searching for control points:
Searching for control points...
Hugin's cpfind 2016.2.0.48cb11a23351
based on Pan-o-matic by Anael Orlinski
Project contains the following images:
Image 0
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0494.JPG
Remapped : yes
Image 1
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0495.JPG
Remapped : yes
Image 2
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0496.JPG
Remapped : yes
Image 3
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0497.JPG
Remapped : yes
Image 4
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0498.JPG
Remapped : yes
--- Analyze Images ---
i0 : Analyzing image...
i1 : Analyzing image...
i3 : Analyzing image...
i2 : Analyzing image...
i4 : Analyzing image...
--- Find matches ---
i3 <> i4 : Found 24 matches
i2 <> i3 : Found 23 matches
i0 <> i1 : Found 25 matches
i1 <> i2 : Found 24 matches
--- Find matches for overlapping images ---
--- Write Project output ---
Written output to /tmp/ap_res2RPWJD
Detection took 42.551 seconds.
Written output to /tmp/haXhtqCX
Statistically cleaning of control points...
Removed 3 control points in step 1
Removed 6 control points in step 2
Written output to /tmp/haXhtqCX
Searching for vertical lines...
linefind is searching for vertical lines
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0494.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0495.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0497.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0496.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0498.JPG
Found 3 vertical lines
Written output to /tmp/haXhtqCX
Opened project /tmp/haXhtqCX
Project contains
5 images
1 lenses
5 stacks
90 control points
Control points statistics
Mean error : 971.36
Standard deviation: 186.23
Minimum : 0.56
Maximum : 1090.06
All images are connected.
Optimizing...
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 982.983793096836 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 41.9359835841126 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 6.63019692569752 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 4.61077632604332 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 3.01981247229104 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.97569382964583 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 2.76688043502161 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 2.74875128077305 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.50387441947329 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.46501866893365 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.46298406887543 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.46288404323768 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.46287903562832 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.46287877868892 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 1211.92765038268 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 602.088772194531 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 153.723441026673 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 18.7112302680542 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 12.6210226194956 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 8.03622538594012 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 7.06382934411868 units
Strategy 1
Average (rms) distance between Controlpoints
after 8 iteration(s): 4.84370018630319 units
Strategy 1
Average (rms) distance between Controlpoints
after 9 iteration(s): 3.72360519941188 units
Strategy 1
Average (rms) distance between Controlpoints
after 10 iteration(s): 3.33495857754523 units
Strategy 1
Average (rms) distance between Controlpoints
after 11 iteration(s): 3.25368888767976 units
Strategy 1
Average (rms) distance between Controlpoints
after 12 iteration(s): 3.22919128957402 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.96933917425114 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.93297838272108 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.91884678098127 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.91392637362141 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.91228690715474 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.91168933451105 units
Strategy 2
Average (rms) distance between Controlpoints
after 6 iteration(s): 2.91146533621293 units
Strategy 2
Average (rms) distance between Controlpoints
after 7 iteration(s): 2.91138043556433 units
Strategy 2
Average (rms) distance between Controlpoints
after 8 iteration(s): 2.91134808174348 units
Strategy 2
Average (rms) distance between Controlpoints
after 9 iteration(s): 2.91133571999864 units
Strategy 2
Average (rms) distance between Controlpoints
after 10 iteration(s): 2.91133099042677 units
Strategy 2
Average (rms) distance between Controlpoints
after 11 iteration(s): 2.91132918088532 units
Strategy 2
Average (rms) distance between Controlpoints
after 12 iteration(s): 2.91132848938124 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 1224.50663560168 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 849.558266081887 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 837.72339825065 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 442.797571478775 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 197.553967549668 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 83.305078374619 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 60.8230551927674 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 15.8844009816788 units
Strategy 1
Average (rms) distance between Controlpoints
after 8 iteration(s): 6.86453271916768 units
Strategy 1
Average (rms) distance between Controlpoints
after 9 iteration(s): 3.33264312124252 units
Strategy 1
Average (rms) distance between Controlpoints
after 10 iteration(s): 2.90160888270834 units
Strategy 1
Average (rms) distance between Controlpoints
after 11 iteration(s): 2.85983023874743 units
Strategy 1
Average (rms) distance between Controlpoints
after 12 iteration(s): 2.85983023874743 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.62987246119631 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.56912544263629 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.56514887889879 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.56493984814271 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.56492773612702 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.56492701696016 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 277.13777557305 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 50.4290961065833 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 30.8934211720977 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 18.9662786673375 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 10.2533024783389 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 4.62313502932562 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 4.22802898300364 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 3.94271642558738 units
Strategy 1
Average (rms) distance between Controlpoints
after 8 iteration(s): 3.54064927076703 units
Strategy 1
Average (rms) distance between Controlpoints
after 9 iteration(s): 3.39943495223357 units
Strategy 1
Average (rms) distance between Controlpoints
after 10 iteration(s): 3.39943495223357 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 3.10863276622406 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 3.05923707817033 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 3.05082378572386 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 3.04960727844624 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 3.04946835147843 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 3.04945340232198 units
Strategy 2
Average (rms) distance between Controlpoints
after 6 iteration(s): 3.04945175715441 units
Strategy 2
Average (rms) distance between Controlpoints
after 7 iteration(s): 3.04945157398999 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 3.14243765033195 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 3.1084705016695 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 3.08562264150855 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.79783458202005 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.75973617480134 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.74035508921397 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.72900089676539 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.72457648263304 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.72139159681708 units
Strategy 2
Average (rms) distance between Controlpoints
after 6 iteration(s): 2.72101462978864 units
Strategy 2
Average (rms) distance between Controlpoints
after 7 iteration(s): 2.72094216821842 units
Strategy 2
Average (rms) distance between Controlpoints
after 8 iteration(s): 2.72092742311983 units
Strategy 2
Average (rms) distance between Controlpoints
after 9 iteration(s): 2.7209241976134 units
Strategy 2
Average (rms) distance between Controlpoints
after 10 iteration(s): 2.72092341838694 units
*** Adaptive geometric optimisation
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 3.07234153770674 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.3134497293292 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 1.87445339657028 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 1.67834559110978 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 1.57788636304215 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 1.56756627225479 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 1.55680145159351 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 1.54645782373753 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 1.54641630515312 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 1.54641541011857 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 1.54641538348857 units
Skipping automatic leveling because of existing vertical control points.
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0494.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0496.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0497.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0495.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0498.JPG
downscaling: 6016x4000 3008x2000 1504x1000
Sampling points
sampling points
extracting good points
Selected 833 points
Photometric Optimization
Iteration: 0, error: 10.639909
Iteration: 1, error: 8.943244
Iteration: 2, error: 8.797578
Iteration: 3, error: 8.797578
Iteration: 4, error: 8.797578
Iteration: 5, error: 8.795439
Iteration: 6, error: 8.792865
Iteration: 7, error: 8.791576
Iteration: 8, error: 8.791356
Iteration: 9, error: 8.791048
Iteration: 10, error: 8.791048
Iteration: 11, error: 8.786547
Iteration: 12, error: 8.786410
Iteration: 13, error: 8.786410
Iteration: 14, error: 8.786342
Iteration: 15, error: 8.786308
Iteration: 0, error: 8.786308
Iteration: 1, error: 8.674930
Iteration: 2, error: 8.665746
Iteration: 3, error: 8.665746
Iteration: 4, error: 8.665448
Iteration: 5, error: 8.665448
Iteration: 6, error: 8.665448
Iteration: 7, error: 8.665448
Iteration: 8, error: 8.665448
Iteration: 9, error: 8.661520
Iteration: 10, error: 8.659719
Iteration: 11, error: 8.659111
Iteration: 12, error: 8.659094
Iteration: 13, error: 8.659094
Iteration: 0, error: 8.659094
Iteration: 1, error: 8.450615
Iteration: 2, error: 8.450615
Iteration: 3, error: 8.437719
Iteration: 4, error: 8.437719
Iteration: 5, error: 8.436530
Iteration: 6, error: 8.436530
Iteration: 7, error: 8.434317
Iteration: 8, error: 8.434222
Iteration: 9, error: 8.434222
Iteration: 10, error: 8.434222
Iteration: 11, error: 8.434222
Iteration: 12, error: 8.434155
Iteration: 13, error: 8.434068
Iteration: 14, error: 8.433866
Iteration: 15, error: 8.433672
Iteration: 16, error: 8.433613
Iteration: 17, error: 8.433610
Searching for best crop...
Calculate optimal size of panorama
Setting canvas size to 11713 x 5329
Searching for best crop rectangle
Run called
Inner 1024 19502737: 1536 10177 - 1536 3793
Starting 1024: 1536 10177 - 1536 3793
Starting 512: 1536 11201 - 1536 3793
Starting 256: 1536 11201 - 1024 3793
Starting 128: 1536 11457 - 1024 4049
Starting 64: 1408 11457 - 1024 4049
Starting 32: 1344 11457 - 960 4049
Starting 16: 1312 11457 - 960 4049
Starting 8: 1296 11457 - 960 4049
Starting 4: 1288 11465 - 960 4049
Starting 2: 1288 11469 - 960 4049
Starting 1: 1288 11471 - 960 4049
Set crop size to 1287,960,11471,4049
Written output to /tmp/haXhtqCX
after stitching:
Searching for control points...
Hugin's cpfind 2016.2.0.48cb11a23351
based on Pan-o-matic by Anael Orlinski
Project contains the following images:
Image 0
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0494.JPG
Remapped : yes
Image 1
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0495.JPG
Remapped : yes
Image 2
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0496.JPG
Remapped : yes
Image 3
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0497.JPG
Remapped : yes
Image 4
Imagefile: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0498.JPG
Remapped : yes
--- Analyze Images ---
i0 : Analyzing image...
i1 : Analyzing image...
i3 : Analyzing image...
i2 : Analyzing image...
i4 : Analyzing image...
--- Find matches ---
i3 <> i4 : Found 24 matches
i2 <> i3 : Found 23 matches
i0 <> i1 : Found 25 matches
i1 <> i2 : Found 24 matches
--- Find matches for overlapping images ---
--- Write Project output ---
Written output to /tmp/ap_res2RPWJD
Detection took 42.551 seconds.
Written output to /tmp/haXhtqCX
Statistically cleaning of control points...
Removed 3 control points in step 1
Removed 6 control points in step 2
Written output to /tmp/haXhtqCX
Searching for vertical lines...
linefind is searching for vertical lines
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0494.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0495.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0497.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0496.JPG
Working on image /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0498.JPG
Found 3 vertical lines
Written output to /tmp/haXhtqCX
Opened project /tmp/haXhtqCX
Project contains
5 images
1 lenses
5 stacks
90 control points
Control points statistics
Mean error : 971.36
Standard deviation: 186.23
Minimum : 0.56
Maximum : 1090.06
All images are connected.
Optimizing...
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 982.983793096836 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 41.9359835841126 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 6.63019692569752 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 4.61077632604332 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 3.01981247229104 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.97569382964583 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 2.76688043502161 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 2.74875128077305 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.50387441947329 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.46501866893365 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.46298406887543 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.46288404323768 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.46287903562832 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.46287877868892 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 1211.92765038268 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 602.088772194531 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 153.723441026673 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 18.7112302680542 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 12.6210226194956 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 8.03622538594012 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 7.06382934411868 units
Strategy 1
Average (rms) distance between Controlpoints
after 8 iteration(s): 4.84370018630319 units
Strategy 1
Average (rms) distance between Controlpoints
after 9 iteration(s): 3.72360519941188 units
Strategy 1
Average (rms) distance between Controlpoints
after 10 iteration(s): 3.33495857754523 units
Strategy 1
Average (rms) distance between Controlpoints
after 11 iteration(s): 3.25368888767976 units
Strategy 1
Average (rms) distance between Controlpoints
after 12 iteration(s): 3.22919128957402 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.96933917425114 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.93297838272108 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.91884678098127 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.91392637362141 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.91228690715474 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.91168933451105 units
Strategy 2
Average (rms) distance between Controlpoints
after 6 iteration(s): 2.91146533621293 units
Strategy 2
Average (rms) distance between Controlpoints
after 7 iteration(s): 2.91138043556433 units
Strategy 2
Average (rms) distance between Controlpoints
after 8 iteration(s): 2.91134808174348 units
Strategy 2
Average (rms) distance between Controlpoints
after 9 iteration(s): 2.91133571999864 units
Strategy 2
Average (rms) distance between Controlpoints
after 10 iteration(s): 2.91133099042677 units
Strategy 2
Average (rms) distance between Controlpoints
after 11 iteration(s): 2.91132918088532 units
Strategy 2
Average (rms) distance between Controlpoints
after 12 iteration(s): 2.91132848938124 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 1224.50663560168 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 849.558266081887 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 837.72339825065 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 442.797571478775 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 197.553967549668 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 83.305078374619 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 60.8230551927674 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 15.8844009816788 units
Strategy 1
Average (rms) distance between Controlpoints
after 8 iteration(s): 6.86453271916768 units
Strategy 1
Average (rms) distance between Controlpoints
after 9 iteration(s): 3.33264312124252 units
Strategy 1
Average (rms) distance between Controlpoints
after 10 iteration(s): 2.90160888270834 units
Strategy 1
Average (rms) distance between Controlpoints
after 11 iteration(s): 2.85983023874743 units
Strategy 1
Average (rms) distance between Controlpoints
after 12 iteration(s): 2.85983023874743 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.62987246119631 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.56912544263629 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.56514887889879 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.56493984814271 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.56492773612702 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.56492701696016 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 277.13777557305 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 50.4290961065833 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 30.8934211720977 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 18.9662786673375 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 10.2533024783389 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 4.62313502932562 units
Strategy 1
Average (rms) distance between Controlpoints
after 6 iteration(s): 4.22802898300364 units
Strategy 1
Average (rms) distance between Controlpoints
after 7 iteration(s): 3.94271642558738 units
Strategy 1
Average (rms) distance between Controlpoints
after 8 iteration(s): 3.54064927076703 units
Strategy 1
Average (rms) distance between Controlpoints
after 9 iteration(s): 3.39943495223357 units
Strategy 1
Average (rms) distance between Controlpoints
after 10 iteration(s): 3.39943495223357 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 3.10863276622406 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 3.05923707817033 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 3.05082378572386 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 3.04960727844624 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 3.04946835147843 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 3.04945340232198 units
Strategy 2
Average (rms) distance between Controlpoints
after 6 iteration(s): 3.04945175715441 units
Strategy 2
Average (rms) distance between Controlpoints
after 7 iteration(s): 3.04945157398999 units
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 3.14243765033195 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 3.1084705016695 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 3.08562264150855 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 2.79783458202005 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.75973617480134 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 2.74035508921397 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 2.72900089676539 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 2.72457648263304 units
Strategy 2
Average (rms) distance between Controlpoints
after 5 iteration(s): 2.72139159681708 units
Strategy 2
Average (rms) distance between Controlpoints
after 6 iteration(s): 2.72101462978864 units
Strategy 2
Average (rms) distance between Controlpoints
after 7 iteration(s): 2.72094216821842 units
Strategy 2
Average (rms) distance between Controlpoints
after 8 iteration(s): 2.72092742311983 units
Strategy 2
Average (rms) distance between Controlpoints
after 9 iteration(s): 2.7209241976134 units
Strategy 2
Average (rms) distance between Controlpoints
after 10 iteration(s): 2.72092341838694 units
*** Adaptive geometric optimisation
Optimizing Variables
Strategy 1
Average (rms) distance between Controlpoints
after 0 iteration(s): 3.07234153770674 units
Strategy 1
Average (rms) distance between Controlpoints
after 1 iteration(s): 2.3134497293292 units
Strategy 1
Average (rms) distance between Controlpoints
after 2 iteration(s): 1.87445339657028 units
Strategy 1
Average (rms) distance between Controlpoints
after 3 iteration(s): 1.67834559110978 units
Strategy 1
Average (rms) distance between Controlpoints
after 4 iteration(s): 1.57788636304215 units
Strategy 1
Average (rms) distance between Controlpoints
after 5 iteration(s): 1.56756627225479 units
Optimizing Variables
Strategy 2
Average (rms) distance between Controlpoints
after 0 iteration(s): 1.55680145159351 units
Strategy 2
Average (rms) distance between Controlpoints
after 1 iteration(s): 1.54645782373753 units
Strategy 2
Average (rms) distance between Controlpoints
after 2 iteration(s): 1.54641630515312 units
Strategy 2
Average (rms) distance between Controlpoints
after 3 iteration(s): 1.54641541011857 units
Strategy 2
Average (rms) distance between Controlpoints
after 4 iteration(s): 1.54641538348857 units
Skipping automatic leveling because of existing vertical control points.
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0494.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0496.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0497.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0495.JPG
downscaling: 6016x4000 3008x2000 1504x1000
loading: /home/bmike1/Documents/Business/Photography/PropertyPhotographing/Test/Panorama/3/DSC_0498.JPG
downscaling: 6016x4000 3008x2000 1504x1000
Sampling points
sampling points
extracting good points
Selected 833 points
Photometric Optimization
Iteration: 0, error: 10.639909
Iteration: 1, error: 8.943244
Iteration: 2, error: 8.797578
Iteration: 3, error: 8.797578
Iteration: 4, error: 8.797578
Iteration: 5, error: 8.795439
Iteration: 6, error: 8.792865
Iteration: 7, error: 8.791576
Iteration: 8, error: 8.791356
Iteration: 9, error: 8.791048
Iteration: 10, error: 8.791048
Iteration: 11, error: 8.786547
Iteration: 12, error: 8.786410
Iteration: 13, error: 8.786410
Iteration: 14, error: 8.786342
Iteration: 15, error: 8.786308
Iteration: 0, error: 8.786308
Iteration: 1, error: 8.674930
Iteration: 2, error: 8.665746
Iteration: 3, error: 8.665746
Iteration: 4, error: 8.665448
Iteration: 5, error: 8.665448
Iteration: 6, error: 8.665448
Iteration: 7, error: 8.665448
Iteration: 8, error: 8.665448
Iteration: 9, error: 8.661520
Iteration: 10, error: 8.659719
Iteration: 11, error: 8.659111
Iteration: 12, error: 8.659094
Iteration: 13, error: 8.659094
Iteration: 0, error: 8.659094
Iteration: 1, error: 8.450615
Iteration: 2, error: 8.450615
Iteration: 3, error: 8.437719
Iteration: 4, error: 8.437719
Iteration: 5, error: 8.436530
Iteration: 6, error: 8.436530
Iteration: 7, error: 8.434317
Iteration: 8, error: 8.434222
Iteration: 9, error: 8.434222
Iteration: 10, error: 8.434222
Iteration: 11, error: 8.434222
Iteration: 12, error: 8.434155
Iteration: 13, error: 8.434068
Iteration: 14, error: 8.433866
Iteration: 15, error: 8.433672
Iteration: 16, error: 8.433613
Iteration: 17, error: 8.433610
Searching for best crop...
Calculate optimal size of panorama
Setting canvas size to 11713 x 5329
Searching for best crop rectangle
Run called
Inner 1024 19502737: 1536 10177 - 1536 3793
Starting 1024: 1536 10177 - 1536 3793
Starting 512: 1536 11201 - 1536 3793
Starting 256: 1536 11201 - 1024 3793
Starting 128: 1536 11457 - 1024 4049
Starting 64: 1408 11457 - 1024 4049
Starting 32: 1344 11457 - 960 4049
Starting 16: 1312 11457 - 960 4049
Starting 8: 1296 11457 - 960 4049
Starting 4: 1288 11465 - 960 4049
Starting 2: 1288 11469 - 960 4049
Starting 1: 1288 11471 - 960 4049
Set crop size to 1287,960,11471,4049
Written output to /tmp/haXhtqCX