On Wednesday, September 21, 2016 at 10:38:36 PM UTC-4, Groogle wrote: > > On Wednesday, 21 September 2016 at 19:33:27 -0700, Michael Havens wrote: > > In preferences->file name->Temporary directory I typed in > > "/home/bmike1/hugintmp" > > In the same location if /home/bmike1/hugintmp is present when I search > for > > control points it will fail. > > We seem to be going round in circles. I reported this issue nearly a > week ago. What does it write to the root file system when you don't > specify a temporary directory? > after searching for control points:

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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 after 0 iteration(s): 1870.16827459187 units 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 after 0 iteration(s): 1870.16827459187 units 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 -- A list of frequently asked questions is available at: http://wiki.panotools.org/Hugin_FAQ --- You received this message because you are subscribed to the Google Groups "hugin and other free panoramic software" group. To unsubscribe from this group and stop receiving emails from it, send an email to hugin-ptx+unsubscr...@googlegroups.com. 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