Hello Andreas, Andreas Metzler [2015-05-12 18:34 +0200]: > I have seen that (too late for beta2) and it is already fixed in GIT. > Thanks for keeping an eye on these issues. > > cu Andreas > > http://anonscm.debian.org/cgit/pkg-phototools/hugin.git/commit/?id=477347385b6b59ccff6a645345846bdf39be68a5
Hmm, does that actually work for you? I still get a failure in both a current sid VM as well as schroot. I pasted the full test output below. It's not immediately clear what fails as there's no useful error message. Turns out it's the "test -e pano.tif". Perhaps this would be better? if ! test -e pano.tif; then echo "ERROR: pano.tif not found!" >&2 ls -l exit 1 fi With that I get | ERROR: pano.tif not found! | -rw-r--r-- 1 martin martin 640692 May 20 08:51 left - right.tif | -rw-r--r-- 1 martin martin 85229 May 20 08:51 left.jpeg | -rw-r--r-- 1 martin martin 3430 May 20 08:51 pano.pto | -rw-r--r-- 1 martin martin 85195 May 20 08:51 right.jpeg So I still don't know what's wrong/expected here, but I hope you have an idea? Thanks, Martin $ adt-run -B hugin_2015.0.0~beta2+dfsg-1git1.dsc --- schroot sid [...] adt-run [08:45:56]: test simple.pano.test: [----------------------- Error reading GPano tags from /tmp/tmp.b4N04CNKte.hugin/left.jpeg(std::exception) Generating pto file... Reading /tmp/tmp.b4N04CNKte.hugin/left.jpeg... Reading /tmp/tmp.b4N04CNKte.hugin/right.jpeg... Error reading GPano tags from /tmp/tmp.b4N04CNKte.hugin/right.jpeg(std::exception) Assigned 1 lenses. Written output to /tmp/tmp.b4N04CNKte.hugin/pano.pto Hugin's cpfind 2015.0.0.31a6f3742639 based on Pan-o-matic by Anael Orlinski Project contains the following images: Image 0 Imagefile: left.jpeg Remapped : no Image 1 Imagefile: right.jpeg Remapped : no --- Analyze Images --- i1 : Analyzing image... i0 : Analyzing image... --- Find pair-wise matches --- i0 <> i1 : Found 25 matches --- Write Project output --- Written output to pano-tmp.pto Detection took 0.24 seconds. Celeste: Removes cloud-like control points from Hugin project files and creates image masks using Support Vector Machines. Version 2015.0.0.31a6f3742639 Arguments: Input Hugin file: pano.pto Output Hugin file: pano-tmp.pto SVM model file: /usr/share/hugin/data/celeste.model Max dimension: 800 SVM threshold: 0.5 Create PTO masks: No Mask format: PNG Filter radius: Large Loaded model file: /usr/share/hugin/data/celeste.model Parsing Hugin project file pano.pto Image dimensions: 648 x 486 Image dimensions: 648 x 486 Written file pano-tmp.pto Removed 1 control points in step 1 Removed 1 control points in step 2 Written output to pano-tmp.pto *** Adaptive geometric optimisation Optimizing Variables Strategy 1 Average (rms) distance between Controlpoints after 0 iteration(s): 24.9537691541876 units Strategy 1 Average (rms) distance between Controlpoints after 1 iteration(s): 24.4968919109571 units Strategy 1 Average (rms) distance between Controlpoints after 2 iteration(s): 23.9686448718011 units Strategy 1 Average (rms) distance between Controlpoints after 3 iteration(s): 23.4446107688423 units Strategy 1 Average (rms) distance between Controlpoints after 4 iteration(s): 22.9263951058532 units Strategy 1 Average (rms) distance between Controlpoints after 5 iteration(s): 22.4188269454977 units Strategy 1 Average (rms) distance between Controlpoints after 6 iteration(s): 21.9233037520347 units Strategy 1 Average (rms) distance between Controlpoints after 7 iteration(s): 21.4399831232153 units Strategy 1 Average (rms) distance between Controlpoints after 8 iteration(s): 20.9684186512436 units Strategy 1 Average (rms) distance between Controlpoints after 9 iteration(s): 20.5083116506821 units Strategy 1 Average (rms) distance between Controlpoints after 10 iteration(s): 20.0591042771846 units Strategy 1 Average (rms) distance between Controlpoints after 11 iteration(s): 19.588553127047 units Strategy 1 Average (rms) distance between Controlpoints after 12 iteration(s): 19.1270695046781 units Strategy 1 Average (rms) distance between Controlpoints after 13 iteration(s): 18.6774679306246 units Strategy 1 Average (rms) distance between Controlpoints after 14 iteration(s): 18.2073443870959 units Strategy 1 Average (rms) distance between Controlpoints after 15 iteration(s): 17.7469979100104 units Strategy 1 Average (rms) distance between Controlpoints after 16 iteration(s): 17.2992069044527 units Strategy 1 Average (rms) distance between Controlpoints after 17 iteration(s): 16.8345677151117 units Strategy 1 Average (rms) distance between Controlpoints after 18 iteration(s): 16.3807634241716 units Strategy 1 Average (rms) distance between Controlpoints after 19 iteration(s): 15.935093843845 units Strategy 1 Average (rms) distance between Controlpoints after 20 iteration(s): 15.4658208215643 units Strategy 1 Average (rms) distance between Controlpoints after 21 iteration(s): 15.0076180357899 units Strategy 1 Average (rms) distance between Controlpoints after 22 iteration(s): 14.56417384973 units Strategy 1 Average (rms) distance between Controlpoints after 23 iteration(s): 14.1011177043998 units Strategy 1 Average (rms) distance between Controlpoints after 24 iteration(s): 13.6504209624239 units Strategy 1 Average (rms) distance between Controlpoints after 25 iteration(s): 13.2101770556828 units Strategy 1 Average (rms) distance between Controlpoints after 26 iteration(s): 12.7410607599891 units Strategy 1 Average (rms) distance between Controlpoints after 27 iteration(s): 12.2844376786087 units Strategy 1 Average (rms) distance between Controlpoints after 28 iteration(s): 11.8457661064345 units Strategy 1 Average (rms) distance between Controlpoints after 29 iteration(s): 11.388329119511 units Strategy 1 Average (rms) distance between Controlpoints after 30 iteration(s): 10.9457803476757 units Strategy 1 Average (rms) distance between Controlpoints after 31 iteration(s): 10.5045598594076 units Strategy 1 Average (rms) distance between Controlpoints after 32 iteration(s): 10.0586275683871 units Strategy 1 Average (rms) distance between Controlpoints after 33 iteration(s): 9.6317361867154 units Strategy 1 Average (rms) distance between Controlpoints after 34 iteration(s): 9.15870097920948 units Strategy 1 Average (rms) distance between Controlpoints after 35 iteration(s): 8.69899325632582 units Strategy 1 Average (rms) distance between Controlpoints after 36 iteration(s): 8.26469835932337 units Strategy 1 Average (rms) distance between Controlpoints after 37 iteration(s): 7.83751886242897 units Strategy 1 Average (rms) distance between Controlpoints after 38 iteration(s): 7.25927158988975 units Strategy 1 Average (rms) distance between Controlpoints after 39 iteration(s): 6.69507002570063 units Strategy 1 Average (rms) distance between Controlpoints after 40 iteration(s): 5.77413923928841 units Strategy 1 Average (rms) distance between Controlpoints after 41 iteration(s): 4.9307111146985 units Strategy 1 Average (rms) distance between Controlpoints after 42 iteration(s): 4.10958694298408 units Strategy 1 Average (rms) distance between Controlpoints after 43 iteration(s): 3.24467866868201 units Strategy 1 Average (rms) distance between Controlpoints after 44 iteration(s): 2.44699267306362 units Strategy 1 Average (rms) distance between Controlpoints after 45 iteration(s): 1.60585758845428 units Strategy 1 Average (rms) distance between Controlpoints after 46 iteration(s): 0.60717983168988 units Strategy 1 Average (rms) distance between Controlpoints after 47 iteration(s): 0.503664162907862 units Strategy 1 Average (rms) distance between Controlpoints after 48 iteration(s): 0.503664162907862 units Optimizing Variables Strategy 2 Average (rms) distance between Controlpoints after 0 iteration(s): 0.503664167259295 units Strategy 2 Average (rms) distance between Controlpoints after 1 iteration(s): 0.503424719443968 units Strategy 2 Average (rms) distance between Controlpoints after 2 iteration(s): 0.503424719435034 units Optimizing Variables Strategy 1 Average (rms) distance between Controlpoints after 0 iteration(s): 0.503424715194382 units Strategy 1 Average (rms) distance between Controlpoints after 1 iteration(s): 0.503424715194382 units Optimizing Variables Strategy 2 Average (rms) distance between Controlpoints after 0 iteration(s): 0.503424719435034 units Strategy 2 Average (rms) distance between Controlpoints after 1 iteration(s): 0.503424719435034 units Searching for best crop rectangle Run called Down to Algorithm Original Image: 660x345 Inner 64 115444: 128 660 - 64 281 Starting 64: 128 660 - 64 281 Starting 32: 128 660 - 64 281 Starting 16: 128 660 - 32 313 Starting 8: 112 660 - 16 329 Starting 4: 104 660 - 16 337 Starting 2: 104 660 - 12 341 Starting 1: 104 660 - 10 343 Found Solution: 103 10 660 343 Crop 103x10 - 660x343 Crop Size 557x333 Set crop size to 103,10,660,343 Written output to pano-tmp.pto Opened project pano.pto Project contains 2 images 1 lenses 2 stacks 23 control points Control points statistics Mean error : 1.92 Standard deviation: 0.86 Minimum : 0.85 Maximum : 3.75 All images are connected. ============================================ Stitching panorama... ============================================ Platform: Linux 3.19.0-17-generic x86_64 Version: 2015.0.0.31a6f3742639 Working directory: /tmp/tmp.b4N04CNKte.hugin Output prefix: left - right Blender: enblend 4.1.3 ExifTool version: 9.95 Number of active images: 2 Output exposure value: 13.4 Canvas size: 660x345 ROI: (103, 10) - (660, 343) FOV: 19x10 Projection: Rectilinear(0) Using GPU for remapping: false Panorama Outputs: * Exposure corrected, low dynamic range First input image Number: 0 Filename: /tmp/tmp.b4N04CNKte.hugin/left.jpeg Size: 648x486 Projection: Normal (rectilinear) Response type: custom (EMoR) HFOV: 13 Exposure value: 13.3 Remapping LDR images... Multiple images output loading left.jpeg remapping left.jpeg saving left - right0000.tif loading right.jpeg remapping right.jpeg saving left - right0001.tif Blending images... enblend: warning: input images too small for coarse mask; switching to fine mask enblend: info: loading next image: left - right0000.tif 1/1 enblend: info: loading next image: left - right0001.tif 1/1 enblend: info: writing final output Updating metadata... 1 image files updated Removing temporary files... adt-run [08:46:01]: test simple.pano.test: -----------------------] adt-run [08:46:01]: test simple.pano.test: - - - - - - - - - - results - - - - - - - - - - simple.pano.test FAIL non-zero exit status 1 -- Martin Pitt | http://www.piware.de Ubuntu Developer (www.ubuntu.com) | Debian Developer (www.debian.org)
signature.asc
Description: Digital signature