tiff2geotiff - segmentation fault

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milan.salek_661499
tiff2geotiff - segmentation fault
Hello, I have followed carefully the tutorial of using NCL images in VAPOR (https://www.vapor.ucar.edu/sites/default/files/docs/VAPOR-WRF-NCL.pdf) but have had difficulties with the conversion of tiffs to geotiffs (commanded inside the NCL script wrf_Height_Final.ncl). The NCL script can create the image "plt_HeightLevel_temp.tiff" but then the utility tiff2geotiff results always in "Segmentation fault". Tested in Lubuntu 16 under VirtualBox and standalone powerfull PC machine (XEON processor, 16 GB RAM) running CentOs 7, all with the same results. I have tested the version 2.5.0, 2.6.0RC1 and development version 3.0.0, always with the same error. Interestingly, when I prepare the "non-georeferenced" tiffs and run the program tiff2geotiff in Windows at a notebook }runnig VAPOR 2.6.0RC1), it runs OK and adds the georeference info to the "plain" tiffs. The Linux version is apparently broken at all of the Linux machines I could use. The command (prompted by the NCL script or written in bash separately) and the output are as follows: tiff2geotiff -4 " +proj=lcc +ellps=WGS84 +lon_0=10 +lat_0=50 +lat_1=45 +lat_2=55" -m ./plt_HeightLevel.dat ./plt_HeightLevel_temp.tiff ./plt_HeightLevel.tiff Segmentation fault (core dumped). I have checked almost everything,have even experimented with setting of PATH, LD_LIBRARY_PATH etc but without success. I have searched the Internet but have not found any hint how to solve the issue. Any ideas?
samuelli
Hello Milan, Thanks for your bug report, and we're looking into it right now. Unfortunately, I couldn't reproduce the problem on my system. Would you help answer the following questions so I could have a better sense on what next steps to take? 1) What version of NCL are you using? 2) Did you download the NCL binary or build it by yourself? 3) Did you download VAPOR binaries or build it by yourself? Thanks, Samuel
milan.salek_661499
Hello Samuelli, thank you for the reaction. I am using NCL 6.3.0, downloaded and installed as binary in /opt, all environmental variables are set correctly. I am using NCL very often and without problems. Regarding VAPOR, I have downloaded all the VAPOR versions as binaries (2.5.0, 2.6.0RC0, even experimental 3.0.0; when using the particular version, all settings are changed accordingly), my attempt to compile it myself failed. I am using the Vapor in Linux mostly for WRF data preparation, the vaporgui is being used almost exclusively in Windows 10. I have tried the tiff2geotiff program in Linux (Lubuntu 16 and CentOS 7) with several settings (and even users, some of them in English locales), LD_LIBRARY_PATH is unset, but all the attempt failed with the report "Segmentation fault". Fortunately, the tiff2geotiff.exe program works in Windows, which actually saves the VAPOR functionality for me. It could help me if I could compile the tiff2geotiff separately. I have downloaded the snapshot at https://sourceforge.net/p/vapor/git/ci/88d240c6586af5d02b144aa0f34297ac9... but have not been successful either because it is associated with the compilation of the whole VAPOR, which is apparently not trivial (for me). It puzzles me that I am probably the only one reporting the problem. Nevertheless, leaving aside this issue, VAPOR is really great.
milan.salek_661499
If it were of any use, I am sending you the content of the crash report (in dir /var/crash). I am sorry that there are some Czech words but not many; the 3rd row from the bottom reads "This package is probably not installed correctly": ProblemType: Crash Architecture: amd64 CrashCounter: 1 CurrentDesktop: LXDE Date: Wed Apr 12 20:57:24 2017 DistroRelease: Ubuntu 16.04 ExecutablePath: /opt/vapor-2.6.0.RC0/bin/tiff2geotiff ExecutableTimestamp: 1491386861 ProcCmdline: tiff2geotiff -4 \ +proj=lcc\ +ellps=WGS84\ +lon_0=10\ +lat_0=50\ +lat_1=45\ +lat_2=55 -m ./plt_HeightLevel.dat ./plt_HeightLevel_temp.tiff ./plt_HeightLevel.tiff ProcCwd: /home/salek/vapor/NCL ProcEnviron: LANGUAGE=cs TERM=xterm PATH=(custom, no user) XDG_RUNTIME_DIR= LANG=cs_CZ.UTF-8 SHELL=/bin/bash ProcMaps: 00400000-0040c000 r-xp 00000000 08:01 922298 /opt/vapor-2.6.0.RC0/bin/tiff2geotiff 0060b000-0060c000 rw-p 0000b000 08:01 922298 /opt/vapor-2.6.0.RC0/bin/tiff2geotiff 0179b000-017cd000 rw-p 00000000 00:00 0 [heap] 7ff0756ad000-7ff076ce9000 r--s 00000000 08:01 3412379 /home/salek/vapor/NCL/plt_HeightLevel_temp.tiff 7ff076ce9000-7ff076d02000 r-xp 00000000 08:01 398115 /lib/x86_64-linux-gnu/libz.so.1.2.8 7ff076d02000-7ff076f01000 ---p 00019000 08:01 398115 /lib/x86_64-linux-gnu/libz.so.1.2.8 7ff076f01000-7ff076f02000 r--p 00018000 08:01 398115 /lib/x86_64-linux-gnu/libz.so.1.2.8 7ff076f02000-7ff076f03000 rw-p 00019000 08:01 398115 /lib/x86_64-linux-gnu/libz.so.1.2.8 7ff076f03000-7ff076f53000 r-xp 00000000 08:01 917971 /opt/vapor-2.6.0.RC0/lib/libjpeg.so.9 7ff076f53000-7ff077153000 ---p 00050000 08:01 917971 /opt/vapor-2.6.0.RC0/lib/libjpeg.so.9 7ff077153000-7ff077154000 rw-p 00050000 08:01 917971 /opt/vapor-2.6.0.RC0/lib/libjpeg.so.9 7ff077154000-7ff077155000 rw-p 00058000 08:01 917971 /opt/vapor-2.6.0.RC0/lib/libjpeg.so.9 7ff077155000-7ff077314000 r-xp 00000000 08:01 400120 /lib/x86_64-linux-gnu/libc-2.23.so 7ff077314000-7ff077514000 ---p 001bf000 08:01 400120 /lib/x86_64-linux-gnu/libc-2.23.so 7ff077514000-7ff077518000 r--p 001bf000 08:01 400120 /lib/x86_64-linux-gnu/libc-2.23.so 7ff077518000-7ff07751a000 rw-p 001c3000 08:01 400120 /lib/x86_64-linux-gnu/libc-2.23.so 7ff07751a000-7ff07751e000 rw-p 00000000 00:00 0 7ff07751e000-7ff077536000 r-xp 00000000 08:01 400131 /lib/x86_64-linux-gnu/libpthread-2.23.so 7ff077536000-7ff077735000 ---p 00018000 08:01 400131 /lib/x86_64-linux-gnu/libpthread-2.23.so 7ff077735000-7ff077736000 r--p 00017000 08:01 400131 /lib/x86_64-linux-gnu/libpthread-2.23.so 7ff077736000-7ff077737000 rw-p 00018000 08:01 400131 /lib/x86_64-linux-gnu/libpthread-2.23.so 7ff077737000-7ff07773b000 rw-p 00000000 00:00 0 7ff07773b000-7ff077751000 r-xp 00000000 08:01 397971 /lib/x86_64-linux-gnu/libgcc_s.so.1 7ff077751000-7ff077950000 ---p 00016000 08:01 397971 /lib/x86_64-linux-gnu/libgcc_s.so.1 7ff077950000-7ff077951000 rw-p 00015000 08:01 397971 /lib/x86_64-linux-gnu/libgcc_s.so.1 7ff077951000-7ff077a59000 r-xp 00000000 08:01 400118 /lib/x86_64-linux-gnu/libm-2.23.so 7ff077a59000-7ff077c58000 ---p 00108000 08:01 400118 /lib/x86_64-linux-gnu/libm-2.23.so 7ff077c58000-7ff077c59000 r--p 00107000 08:01 400118 /lib/x86_64-linux-gnu/libm-2.23.so 7ff077c59000-7ff077c5a000 rw-p 00108000 08:01 400118 /lib/x86_64-linux-gnu/libm-2.23.so 7ff077c5a000-7ff077dcc000 r-xp 00000000 08:01 2360252 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.21 7ff077dcc000-7ff077fcc000 ---p 00172000 08:01 2360252 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.21 7ff077fcc000-7ff077fd6000 r--p 00172000 08:01 2360252 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.21 7ff077fd6000-7ff077fd8000 rw-p 0017c000 08:01 2360252 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.21 7ff077fd8000-7ff077fdc000 rw-p 00000000 00:00 0 7ff077fdc000-7ff078045000 r-xp 00000000 08:01 917934 /opt/vapor-2.6.0.RC0/lib/libproj.so.0 7ff078045000-7ff078244000 ---p 00069000 08:01 917934 /opt/vapor-2.6.0.RC0/lib/libproj.so.0 7ff078244000-7ff078248000 rw-p 00068000 08:01 917934 /opt/vapor-2.6.0.RC0/lib/libproj.so.0 7ff078248000-7ff07824a000 rw-p 000fd000 08:01 917934 /opt/vapor-2.6.0.RC0/lib/libproj.so.0 7ff07824a000-7ff078272000 r-xp 00000000 08:01 917974 /opt/vapor-2.6.0.RC0/lib/libgeotiff.so.2 7ff078272000-7ff078471000 ---p 00028000 08:01 917974 /opt/vapor-2.6.0.RC0/lib/libgeotiff.so.2 7ff078471000-7ff07847b000 rw-p 00027000 08:01 917974 /opt/vapor-2.6.0.RC0/lib/libgeotiff.so.2 7ff07847b000-7ff078505000 r-xp 00000000 08:01 917923 /opt/vapor-2.6.0.RC0/lib/libtiff.so.5 7ff078505000-7ff078705000 ---p 0008a000 08:01 917923 /opt/vapor-2.6.0.RC0/lib/libtiff.so.5 7ff078705000-7ff078709000 rw-p 0008a000 08:01 917923 /opt/vapor-2.6.0.RC0/lib/libtiff.so.5 7ff078709000-7ff078710000 r-xp 00000000 08:01 400127 /lib/x86_64-linux-gnu/librt-2.23.so 7ff078710000-7ff07890f000 ---p 00007000 08:01 400127 /lib/x86_64-linux-gnu/librt-2.23.so 7ff07890f000-7ff078910000 r--p 00006000 08:01 400127 /lib/x86_64-linux-gnu/librt-2.23.so 7ff078910000-7ff078911000 rw-p 00007000 08:01 400127 /lib/x86_64-linux-gnu/librt-2.23.so 7ff078911000-7ff078937000 r-xp 00000000 08:01 400121 /lib/x86_64-linux-gnu/ld-2.23.so 7ff078b13000-7ff078b1b000 rw-p 00000000 00:00 0 7ff078b34000-7ff078b36000 rw-p 00000000 00:00 0 7ff078b36000-7ff078b37000 r--p 00025000 08:01 400121 /lib/x86_64-linux-gnu/ld-2.23.so 7ff078b37000-7ff078b38000 rw-p 00026000 08:01 400121 /lib/x86_64-linux-gnu/ld-2.23.so 7ff078b38000-7ff078b39000 rw-p 00000000 00:00 0 7ffdc53ca000-7ffdc53eb000 rw-p 00000000 00:00 0 [stack] 7ffdc53f3000-7ffdc53f5000 r--p 00000000 00:00 0 [vvar] 7ffdc53f5000-7ffdc53f7000 r-xp 00000000 00:00 0 [vdso] ffffffffff600000-ffffffffff601000 r-xp 00000000 00:00 0 [vsyscall] ProcStatus: Name: tiff2geotiff State: S (sleeping) Tgid: 7892 Ngid: 0 Pid: 7892 PPid: 7891 TracerPid: 0 Uid: 1000 1000 1000 1000 Gid: 1000 1000 1000 1000 FDSize: 64 Groups: 4 24 27 30 46 120 121 999 1000 1001 NStgid: 7892 NSpid: 7892 NSpgid: 7866 NSsid: 7730 VmPeak: 52468 kB VmSize: 52208 kB VmLck: 0 kB VmPin: 0 kB VmHWM: 4480 kB VmRSS: 4480 kB VmData: 308 kB VmStk: 136 kB VmExe: 48 kB VmLib: 6240 kB VmPTE: 88 kB VmPMD: 12 kB VmSwap: 0 kB HugetlbPages: 0 kB Threads: 1 SigQ: 0/43033 SigPnd: 0000000000000000 ShdPnd: 0000000000000000 SigBlk: 0000000000000000 SigIgn: 0000000000000000 SigCgt: 0000000180000000 CapInh: 0000000000000000 CapPrm: 0000000000000000 CapEff: 0000000000000000 CapBnd: 0000003fffffffff CapAmb: 0000000000000000 Seccomp: 0 Cpus_allowed: 3 Cpus_allowed_list: 0-1 Mems_allowed: 00000000,00000001 Mems_allowed_list: 0 voluntary_ctxt_switches: 2 nonvoluntary_ctxt_switches: 2 Signal: 11 Uname: Linux 4.4.0-72-generic x86_64 UserGroups: adm cdrom dip lpadmin plugdev sambashare sudo vboxsf _LogindSession: c2 CoreDump: base64 H4sICAAAAAAC/0NvcmVEdW1wAA== 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 ApportVersion: 2.20.1-0ubuntu2.5 InstallationDate: Installed on 2017-02-20 (51 days ago) InstallationMedia: Lubuntu 16.04 LTS "Xenial Xerus" - Release amd64 (20160420.1) JournalErrors: -- Logs begin at St 2017-04-12 19:10:23 UTC, end at St 2017-04-12 20:59:33 UTC. -- dub 12 19:10:23 salek-VirtualBox kernel: ------------[ cut here ]------------ dub 12 19:10:23 salek-VirtualBox kernel: WARNING: CPU: 0 PID: 0 at /build/linux-wXdoVv/linux-4.4.0/arch/x86/kernel/fpu/xstate.c:517 fpu__init_system_xstate+0x38b/0x75a() dub 12 19:10:23 salek-VirtualBox kernel: XSAVE consistency problem, dumping leaves dub 12 19:10:23 salek-VirtualBox kernel: Modules linked in: dub 12 19:10:23 salek-VirtualBox kernel: dub 12 19:10:23 salek-VirtualBox kernel: CPU: 0 PID: 0 Comm: swapper Not tainted 4.4.0-72-generic #93-Ubuntu dub 12 19:10:23 salek-VirtualBox kernel: 0000000000000086 4cc1af215dc8fd9f ffffffff81e03d80 ffffffff813f82b3 dub 12 19:10:23 salek-VirtualBox kernel: ffffffff81e03dc8 ffffffff81ca8bb0 ffffffff81e03db8 ffffffff81081302 dub 12 19:10:23 salek-VirtualBox kernel: ffffffff81e03e48 ffffffff81e03e4c 0000000000000008 0000000000000100 dub 12 19:10:23 salek-VirtualBox kernel: Call Trace: dub 12 19:10:23 salek-VirtualBox kernel: [] dump_stack+0x63/0x90 dub 12 19:10:23 salek-VirtualBox kernel: [] warn_slowpath_common+0x82/0xc0 dub 12 19:10:23 salek-VirtualBox kernel: [] warn_slowpath_fmt+0x5c/0x80 dub 12 19:10:23 salek-VirtualBox kernel: [] ? xfeature_size+0x59/0x77 dub 12 19:10:23 salek-VirtualBox kernel: [] fpu__init_system_xstate+0x38b/0x75a dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_idt_handler_array+0x120/0x120 dub 12 19:10:23 salek-VirtualBox kernel: [] fpu__init_system+0x10d/0x245 dub 12 19:10:23 salek-VirtualBox kernel: [] early_cpu_init+0x139/0x13e dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_cpu_init+0x139/0x13e dub 12 19:10:23 salek-VirtualBox kernel: [] setup_arch+0xb4/0xcf1 dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_idt_handler_array+0x120/0x120 dub 12 19:10:23 salek-VirtualBox kernel: [] start_kernel+0xe4/0x4a2 dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_idt_handler_array+0x120/0x120 dub 12 19:10:23 salek-VirtualBox kernel: [] x86_64_start_reservations+0x2a/0x2c dub 12 19:10:23 salek-VirtualBox kernel: [] x86_64_start_kernel+0x14a/0x16d dub 12 19:10:23 salek-VirtualBox kernel: ---[ end trace 4d5ff9f2f68c4233 ]--- dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 00]: eax=00000007 ebx=00000440 ecx=00000440 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 01]: eax=00000000 ebx=000003c0 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 02]: eax=00000100 ebx=00000240 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 03]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 04]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 05]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 06]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 07]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 08]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 09]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0a]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0b]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0c]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0d]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0e]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0f]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 10]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 11]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: ACPI: RSDP 0x00000000000E0000 000024 (v02 VBOX ) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: XSDT 0x00000000DFFF0030 00003C (v01 VBOX VBOXXSDT 00000001 ASL 00000061) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: FACP 0x00000000DFFF00F0 0000F4 (v04 VBOX VBOXFACP 00000001 ASL 00000061) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: DSDT 0x00000000DFFF0470 0021C8 (v02 VBOX VBOXBIOS 00000002 INTL 20100528) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: FACS 0x00000000DFFF0200 000040 dub 12 19:10:23 salek-VirtualBox kernel: ACPI: FACS 0x00000000DFFF0200 000040 dub 12 19:10:23 salek-VirtualBox kernel: ACPI: APIC 0x00000000DFFF0240 00005C (v02 VBOX VBOXAPIC 00000001 ASL 00000061) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: SSDT 0x00000000DFFF02A0 0001CC (v01 VBOX VBOXCPUT 00000002 INTL 20100528) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: 2 ACPI AML tables successfully acquired and loaded dub 12 19:10:23 salek-VirtualBox kernel: PCCT header not found. dub 12 19:10:23 salek-VirtualBox kernel: ACPI: Executed 1 blocks of module-level executable AML code dub 12 19:10:23 salek-VirtualBox kernel: acpi PNP0A03:00: fail to add MMCONFIG information, can't access extended PCI configuration space under this bridge. dub 12 19:10:23 salek-VirtualBox kernel: ACPI: Enabled 2 GPEs in block 00 to 07 dub 12 19:10:24 salek-VirtualBox systemd-tmpfiles[277]: [/usr/lib/tmpfiles.d/var.conf:14] Duplicate line for path "/var/log", ignoring. dub 12 19:10:25 salek-VirtualBox kernel: vgdrvHeartbeatInit: Setting up heartbeat to trigger every 2000 milliseconds dub 12 19:10:25 salek-VirtualBox kernel: vboxguest: misc device minor 55, IRQ 20, I/O port d020, MMIO at 00000000f0400000 (size 0x400000) dub 12 19:10:26 salek-VirtualBox systemd-udevd[292]: Process '/lib/udev/hdparm' failed with exit code 5. dub 12 19:10:34 salek-VirtualBox NetworkManager[662]: [1492024234.4509] SettingsPlugin-Ofono: file doesn't exist: /var/lib/ofono dub 12 19:10:34 salek-VirtualBox kernel: VBoxService 5.1.18 r114002 (verbosity: 0) linux.amd64 (Mar 15 2017 16:30:21) release log 00:00:00.000094 main Log opened 2017-04-12T19:10:34.989677000Z dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000195 main OS Product: Linux dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000238 main OS Release: 4.4.0-72-generic dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000263 main OS Version: #93-Ubuntu SMP Fri Mar 31 14:07:41 UTC 2017 dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000297 main Executable: /opt/VBoxGuestAdditions-5.1.18/sbin/VBoxService 00:00:00.000298 main Process ID: 857 00:00:00.000299 main Package type: LINUX_64BITS_GENERIC dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.002307 main 5.1.18 r114002 started. Verbose level = 0 dub 12 19:10:35 salek-VirtualBox kernel: 00:00:00.128720 automount vbsvcAutoMountWorker: Shared folder 'sdileny' was mounted to '/media/sf_sdileny' dub 12 19:10:35 salek-VirtualBox kernel: audit_printk_skb: 15 callbacks suppressed dub 12 19:10:35 salek-VirtualBox NetworkManager[662]: nm_device_get_device_type: assertion 'NM_IS_DEVICE (self)' failed dub 12 19:10:35 salek-VirtualBox NetworkManager[662]: [1492024235.7094] failed to enumerate oFono devices: GDBus.Error:org.freedesktop.DBus.Error.ServiceUnknown: The name org.ofono was not provided by any .service files dub 12 19:10:36 salek-VirtualBox dnsmasq[884]: warning: no upstream servers configured dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM unable to dlopen(pam_gnome_keyring.so): /lib/security/pam_gnome_keyring.so: cannot open shared object file: No such file or directory dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM adding faulty module: pam_gnome_keyring.so dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM unable to dlopen(pam_kwallet.so): /lib/security/pam_kwallet.so: cannot open shared object file: No such file or directory dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM adding faulty module: pam_kwallet.so dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM unable to dlopen(pam_kwallet5.so): /lib/security/pam_kwallet5.so: cannot open shared object file: No such file or directory dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM adding faulty module: pam_kwallet5.so dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM unable to dlopen(pam_gnome_keyring.so): /lib/security/pam_gnome_keyring.so: cannot open shared object file: No such file or directory dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM adding faulty module: pam_gnome_keyring.so dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM unable to dlopen(pam_kwallet.so): /lib/security/pam_kwallet.so: cannot open shared object file: No such file or directory dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM adding faulty module: pam_kwallet.so dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM unable to dlopen(pam_kwallet5.so): /lib/security/pam_kwallet5.so: cannot open shared object file: No such file or directory dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM adding faulty module: pam_kwallet5.so dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM unable to dlopen(pam_gnome_keyring.so): /lib/security/pam_gnome_keyring.so: cannot open shared object file: No such file or directory dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM adding faulty module: pam_gnome_keyring.so dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM unable to dlopen(pam_kwallet.so): /lib/security/pam_kwallet.so: cannot open shared object file: No such file or directory dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM adding faulty module: pam_kwallet.so dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM unable to dlopen(pam_kwallet5.so): /lib/security/pam_kwallet5.so: cannot open shared object file: No such file or directory dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM adding faulty module: pam_kwallet5.so dub 12 19:12:11 salek-VirtualBox org.gtk.vfs.Daemon[998]: A connection to the bus can't be made dub 12 19:25:59 salek-VirtualBox systemd-tmpfiles[2842]: [/usr/lib/tmpfiles.d/var.conf:14] Duplicate line for path "/var/log", ignoring. ProcVersionSignature: Ubuntu 4.4.0-72.93-generic 4.4.49 SegvAnalysis: Skipped: missing required field "Disassembly" Tags: xenial UnreportableReason: Tento balík zřejmě není nainstalován správně UpgradeStatus: No upgrade log present (probably fresh install) _MarkForUpload: True ApportVersion: 2.20.1-0ubuntu2.5 InstallationDate: Installed on 2017-02-20 (51 days ago) InstallationMedia: Lubuntu 16.04 LTS "Xenial Xerus" - Release amd64 (20160420.1) JournalErrors: -- Logs begin at St 2017-04-12 19:10:23 UTC, end at St 2017-04-12 20:59:33 UTC. -- dub 12 19:10:23 salek-VirtualBox kernel: ------------[ cut here ]------------ dub 12 19:10:23 salek-VirtualBox kernel: WARNING: CPU: 0 PID: 0 at /build/linux-wXdoVv/linux-4.4.0/arch/x86/kernel/fpu/xstate.c:517 fpu__init_system_xstate+0x38b/0x75a() dub 12 19:10:23 salek-VirtualBox kernel: XSAVE consistency problem, dumping leaves dub 12 19:10:23 salek-VirtualBox kernel: Modules linked in: dub 12 19:10:23 salek-VirtualBox kernel: dub 12 19:10:23 salek-VirtualBox kernel: CPU: 0 PID: 0 Comm: swapper Not tainted 4.4.0-72-generic #93-Ubuntu dub 12 19:10:23 salek-VirtualBox kernel: 0000000000000086 4cc1af215dc8fd9f ffffffff81e03d80 ffffffff813f82b3 dub 12 19:10:23 salek-VirtualBox kernel: ffffffff81e03dc8 ffffffff81ca8bb0 ffffffff81e03db8 ffffffff81081302 dub 12 19:10:23 salek-VirtualBox kernel: ffffffff81e03e48 ffffffff81e03e4c 0000000000000008 0000000000000100 dub 12 19:10:23 salek-VirtualBox kernel: Call Trace: dub 12 19:10:23 salek-VirtualBox kernel: [] dump_stack+0x63/0x90 dub 12 19:10:23 salek-VirtualBox kernel: [] warn_slowpath_common+0x82/0xc0 dub 12 19:10:23 salek-VirtualBox kernel: [] warn_slowpath_fmt+0x5c/0x80 dub 12 19:10:23 salek-VirtualBox kernel: [] ? xfeature_size+0x59/0x77 dub 12 19:10:23 salek-VirtualBox kernel: [] fpu__init_system_xstate+0x38b/0x75a dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_idt_handler_array+0x120/0x120 dub 12 19:10:23 salek-VirtualBox kernel: [] fpu__init_system+0x10d/0x245 dub 12 19:10:23 salek-VirtualBox kernel: [] early_cpu_init+0x139/0x13e dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_cpu_init+0x139/0x13e dub 12 19:10:23 salek-VirtualBox kernel: [] setup_arch+0xb4/0xcf1 dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_idt_handler_array+0x120/0x120 dub 12 19:10:23 salek-VirtualBox kernel: [] start_kernel+0xe4/0x4a2 dub 12 19:10:23 salek-VirtualBox kernel: [] ? early_idt_handler_array+0x120/0x120 dub 12 19:10:23 salek-VirtualBox kernel: [] x86_64_start_reservations+0x2a/0x2c dub 12 19:10:23 salek-VirtualBox kernel: [] x86_64_start_kernel+0x14a/0x16d dub 12 19:10:23 salek-VirtualBox kernel: ---[ end trace 4d5ff9f2f68c4233 ]--- dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 00]: eax=00000007 ebx=00000440 ecx=00000440 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 01]: eax=00000000 ebx=000003c0 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 02]: eax=00000100 ebx=00000240 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 03]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 04]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 05]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 06]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 07]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 08]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 09]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0a]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0b]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0c]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0d]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0e]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 0f]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 10]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: CPUID[0d, 11]: eax=00000000 ebx=00000000 ecx=00000000 edx=00000000 dub 12 19:10:23 salek-VirtualBox kernel: ACPI: RSDP 0x00000000000E0000 000024 (v02 VBOX ) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: XSDT 0x00000000DFFF0030 00003C (v01 VBOX VBOXXSDT 00000001 ASL 00000061) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: FACP 0x00000000DFFF00F0 0000F4 (v04 VBOX VBOXFACP 00000001 ASL 00000061) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: DSDT 0x00000000DFFF0470 0021C8 (v02 VBOX VBOXBIOS 00000002 INTL 20100528) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: FACS 0x00000000DFFF0200 000040 dub 12 19:10:23 salek-VirtualBox kernel: ACPI: FACS 0x00000000DFFF0200 000040 dub 12 19:10:23 salek-VirtualBox kernel: ACPI: APIC 0x00000000DFFF0240 00005C (v02 VBOX VBOXAPIC 00000001 ASL 00000061) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: SSDT 0x00000000DFFF02A0 0001CC (v01 VBOX VBOXCPUT 00000002 INTL 20100528) dub 12 19:10:23 salek-VirtualBox kernel: ACPI: 2 ACPI AML tables successfully acquired and loaded dub 12 19:10:23 salek-VirtualBox kernel: PCCT header not found. dub 12 19:10:23 salek-VirtualBox kernel: ACPI: Executed 1 blocks of module-level executable AML code dub 12 19:10:23 salek-VirtualBox kernel: acpi PNP0A03:00: fail to add MMCONFIG information, can't access extended PCI configuration space under this bridge. dub 12 19:10:23 salek-VirtualBox kernel: ACPI: Enabled 2 GPEs in block 00 to 07 dub 12 19:10:24 salek-VirtualBox systemd-tmpfiles[277]: [/usr/lib/tmpfiles.d/var.conf:14] Duplicate line for path "/var/log", ignoring. dub 12 19:10:25 salek-VirtualBox kernel: vgdrvHeartbeatInit: Setting up heartbeat to trigger every 2000 milliseconds dub 12 19:10:25 salek-VirtualBox kernel: vboxguest: misc device minor 55, IRQ 20, I/O port d020, MMIO at 00000000f0400000 (size 0x400000) dub 12 19:10:26 salek-VirtualBox systemd-udevd[292]: Process '/lib/udev/hdparm' failed with exit code 5. dub 12 19:10:34 salek-VirtualBox NetworkManager[662]: [1492024234.4509] SettingsPlugin-Ofono: file doesn't exist: /var/lib/ofono dub 12 19:10:34 salek-VirtualBox kernel: VBoxService 5.1.18 r114002 (verbosity: 0) linux.amd64 (Mar 15 2017 16:30:21) release log 00:00:00.000094 main Log opened 2017-04-12T19:10:34.989677000Z dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000195 main OS Product: Linux dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000238 main OS Release: 4.4.0-72-generic dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000263 main OS Version: #93-Ubuntu SMP Fri Mar 31 14:07:41 UTC 2017 dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.000297 main Executable: /opt/VBoxGuestAdditions-5.1.18/sbin/VBoxService 00:00:00.000298 main Process ID: 857 00:00:00.000299 main Package type: LINUX_64BITS_GENERIC dub 12 19:10:34 salek-VirtualBox kernel: 00:00:00.002307 main 5.1.18 r114002 started. Verbose level = 0 dub 12 19:10:35 salek-VirtualBox kernel: 00:00:00.128720 automount vbsvcAutoMountWorker: Shared folder 'sdileny' was mounted to '/media/sf_sdileny' dub 12 19:10:35 salek-VirtualBox kernel: audit_printk_skb: 15 callbacks suppressed dub 12 19:10:35 salek-VirtualBox NetworkManager[662]: nm_device_get_device_type: assertion 'NM_IS_DEVICE (self)' failed dub 12 19:10:35 salek-VirtualBox NetworkManager[662]: [1492024235.7094] failed to enumerate oFono devices: GDBus.Error:org.freedesktop.DBus.Error.ServiceUnknown: The name org.ofono was not provided by any .service files dub 12 19:10:36 salek-VirtualBox dnsmasq[884]: warning: no upstream servers configured dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM unable to dlopen(pam_gnome_keyring.so): /lib/security/pam_gnome_keyring.so: cannot open shared object file: No such file or directory dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM adding faulty module: pam_gnome_keyring.so dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM unable to dlopen(pam_kwallet.so): /lib/security/pam_kwallet.so: cannot open shared object file: No such file or directory dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM adding faulty module: pam_kwallet.so dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM unable to dlopen(pam_kwallet5.so): /lib/security/pam_kwallet5.so: cannot open shared object file: No such file or directory dub 12 19:10:39 salek-VirtualBox lightdm[981]: PAM adding faulty module: pam_kwallet5.so dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM unable to dlopen(pam_gnome_keyring.so): /lib/security/pam_gnome_keyring.so: cannot open shared object file: No such file or directory dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM adding faulty module: pam_gnome_keyring.so dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM unable to dlopen(pam_kwallet.so): /lib/security/pam_kwallet.so: cannot open shared object file: No such file or directory dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM adding faulty module: pam_kwallet.so dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM unable to dlopen(pam_kwallet5.so): /lib/security/pam_kwallet5.so: cannot open shared object file: No such file or directory dub 12 19:10:48 salek-VirtualBox lightdm[1119]: PAM adding faulty module: pam_kwallet5.so dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM unable to dlopen(pam_gnome_keyring.so): /lib/security/pam_gnome_keyring.so: cannot open shared object file: No such file or directory dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM adding faulty module: pam_gnome_keyring.so dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM unable to dlopen(pam_kwallet.so): /lib/security/pam_kwallet.so: cannot open shared object file: No such file or directory dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM adding faulty module: pam_kwallet.so dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM unable to dlopen(pam_kwallet5.so): /lib/security/pam_kwallet5.so: cannot open shared object file: No such file or directory dub 12 19:12:00 salek-VirtualBox lightdm[1320]: PAM adding faulty module: pam_kwallet5.so dub 12 19:12:11 salek-VirtualBox org.gtk.vfs.Daemon[998]: A connection to the bus can't be made dub 12 19:25:59 salek-VirtualBox systemd-tmpfiles[2842]: [/usr/lib/tmpfiles.d/var.conf:14] Duplicate line for path "/var/log", ignoring. ProcVersionSignature: Ubuntu 4.4.0-72.93-generic 4.4.49 SegvAnalysis: Skipped: missing required field "Disassembly" Tags: xenial UnreportableReason: Tento balík zřejmě není nainstalován správně UpgradeStatus: No upgrade log present (probably fresh install) _MarkForUpload: True
samuelli
Hi Milan, Thanks for the log. We don't find anything suspicious there... By any chance, could you also send us the output from the following two commands? They can help us know if the executable is calling the correct libraries. 1. ldd complete-path-to-tiff2geotiff 2. objdump -x complete-path-to-tiff2geotiff Thanks, Samuel
milan.salek_661499
Hi Samuelli, thank you for dealing with the issue. Here are the outputs of the commands: ldd /opt/vapor-2.6.0.RC0/bin/tiff2geotiff: linux-vdso.so.1 => (0x00007ffe2f1dd000) librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f1187d46000) libtiff.so.5 => /opt/vapor-2.6.0.RC0/lib/libtiff.so.5 (0x00007f1187ab8000) libgeotiff.so.2 => /opt/vapor-2.6.0.RC0/lib/libgeotiff.so.2 (0x00007f1187886000) libproj.so.0 => /opt/vapor-2.6.0.RC0/lib/libproj.so.0 (0x00007f1187618000) libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f1187296000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f1186f8c000) libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f1186d76000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f1186b59000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f118678f000) libjpeg.so.9 => /opt/vapor-2.6.0.RC0/lib/libjpeg.so.9 (0x00007f118653d000) libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007f1186323000) /lib64/ld-linux-x86-64.so.2 (0x00005638397ad000) --------------------------------------------------------------- objdump -x /opt/vapor-2.6.0.RC0/bin/tiff2geotiff: /opt/vapor-2.6.0.RC0/bin/tiff2geotiff: file format elf64-x86-64 /opt/vapor-2.6.0.RC0/bin/tiff2geotiff architecture: i386:x86-64, flags 0x00000112: EXEC_P, HAS_SYMS, D_PAGED start address 0x0000000000401d30 Program Header: PHDR off 0x0000000000000040 vaddr 0x0000000000400040 paddr 0x0000000000400040 align 2**3 filesz 0x00000000000001c0 memsz 0x00000000000001c0 flags r-x INTERP off 0x0000000000000200 vaddr 0x0000000000400200 paddr 0x0000000000400200 align 2**0 filesz 0x000000000000001c memsz 0x000000000000001c flags r-- LOAD off 0x0000000000000000 vaddr 0x0000000000400000 paddr 0x0000000000400000 align 2**21 filesz 0x000000000000b244 memsz 0x000000000000b244 flags r-x LOAD off 0x000000000000b248 vaddr 0x000000000060b248 paddr 0x000000000060b248 align 2**21 filesz 0x0000000000000868 memsz 0x0000000000000900 flags rw- DYNAMIC off 0x000000000000b270 vaddr 0x000000000060b270 paddr 0x000000000060b270 align 2**3 filesz 0x0000000000000220 memsz 0x0000000000000220 flags rw- NOTE off 0x000000000000021c vaddr 0x000000000040021c paddr 0x000000000040021c align 2**2 filesz 0x0000000000000044 memsz 0x0000000000000044 flags r-- EH_FRAME off 0x000000000000a548 vaddr 0x000000000040a548 paddr 0x000000000040a548 align 2**2 filesz 0x000000000000014c memsz 0x000000000000014c flags r-- STACK off 0x0000000000000000 vaddr 0x0000000000000000 paddr 0x0000000000000000 align 2**3 filesz 0x0000000000000000 memsz 0x0000000000000000 flags rw- Dynamic Section: NEEDED librt.so.1 NEEDED libtiff.so.5 NEEDED libgeotiff.so.2 NEEDED libproj.so.0 NEEDED libstdc++.so.6 NEEDED libm.so.6 NEEDED libgcc_s.so.1 NEEDED libpthread.so.0 NEEDED libc.so.6 RUNPATH /opt/vapor-2.6.0.RC0/lib INIT 0x0000000000401888 FINI 0x0000000000408f18 GNU_HASH 0x0000000000400260 STRTAB 0x0000000000400b20 SYMTAB 0x00000000004002c8 STRSZ 0x00000000000004fb SYMENT 0x0000000000000018 DEBUG 0x0000000000000000 PLTGOT 0x000000000060b4c8 PLTRELSZ 0x00000000000006c0 PLTREL 0x0000000000000007 JMPREL 0x00000000004011c8 RELA 0x0000000000401120 RELASZ 0x00000000000000a8 RELAENT 0x0000000000000018 VERNEED 0x00000000004010d0 VERNEEDNUM 0x0000000000000002 VERSYM 0x000000000040101c Version References: required from libstdc++.so.6: 0x056bafd3 0x00 04 CXXABI_1.3 0x08922974 0x00 03 GLIBCXX_3.4 required from libc.so.6: 0x09691a75 0x00 02 GLIBC_2.2.5 Sections: Idx Name Size VMA LMA File off Algn 0 .interp 0000001c 0000000000400200 0000000000400200 00000200 2**0 CONTENTS, ALLOC, LOAD, READONLY, DATA 1 .note.ABI-tag 00000020 000000000040021c 000000000040021c 0000021c 2**2 CONTENTS, ALLOC, LOAD, READONLY, DATA 2 .note.gnu.build-id 00000024 000000000040023c 000000000040023c 0000023c 2**2 CONTENTS, ALLOC, LOAD, READONLY, DATA 3 .gnu.hash 00000064 0000000000400260 0000000000400260 00000260 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 4 .dynsym 00000858 00000000004002c8 00000000004002c8 000002c8 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 5 .dynstr 000004fb 0000000000400b20 0000000000400b20 00000b20 2**0 CONTENTS, ALLOC, LOAD, READONLY, DATA 6 .gnu.version 000000b2 000000000040101c 000000000040101c 0000101c 2**1 CONTENTS, ALLOC, LOAD, READONLY, DATA 7 .gnu.version_r 00000050 00000000004010d0 00000000004010d0 000010d0 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 8 .rela.dyn 000000a8 0000000000401120 0000000000401120 00001120 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 9 .rela.plt 000006c0 00000000004011c8 00000000004011c8 000011c8 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 10 .init 00000018 0000000000401888 0000000000401888 00001888 2**2 CONTENTS, ALLOC, LOAD, READONLY, CODE 11 .plt 00000490 00000000004018a0 00000000004018a0 000018a0 2**2 CONTENTS, ALLOC, LOAD, READONLY, CODE 12 .text 000071e8 0000000000401d30 0000000000401d30 00001d30 2**4 CONTENTS, ALLOC, LOAD, READONLY, CODE 13 .fini 0000000e 0000000000408f18 0000000000408f18 00008f18 2**2 CONTENTS, ALLOC, LOAD, READONLY, CODE 14 .rodata 00001618 0000000000408f30 0000000000408f30 00008f30 2**4 CONTENTS, ALLOC, LOAD, READONLY, DATA 15 .eh_frame_hdr 0000014c 000000000040a548 000000000040a548 0000a548 2**2 CONTENTS, ALLOC, LOAD, READONLY, DATA 16 .eh_frame 00000bac 000000000040a698 000000000040a698 0000a698 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 17 .ctors 00000010 000000000060b248 000000000060b248 0000b248 2**3 CONTENTS, ALLOC, LOAD, DATA 18 .dtors 00000010 000000000060b258 000000000060b258 0000b258 2**3 CONTENTS, ALLOC, LOAD, DATA 19 .jcr 00000008 000000000060b268 000000000060b268 0000b268 2**3 CONTENTS, ALLOC, LOAD, DATA 20 .dynamic 00000220 000000000060b270 000000000060b270 0000b270 2**3 CONTENTS, ALLOC, LOAD, DATA 21 .got 00000038 000000000060b490 000000000060b490 0000b490 2**3 CONTENTS, ALLOC, LOAD, DATA 22 .got.plt 00000258 000000000060b4c8 000000000060b4c8 0000b4c8 2**3 CONTENTS, ALLOC, LOAD, DATA 23 .data 00000390 000000000060b720 000000000060b720 0000b720 2**5 CONTENTS, ALLOC, LOAD, DATA 24 .bss 00000098 000000000060bab0 000000000060bab0 0000bab0 2**3 ALLOC 25 .comment 00000059 0000000000000000 0000000000000000 0000bab0 2**0 CONTENTS, READONLY SYMBOL TABLE: 0000000000400200 l d .interp 0000000000000000 .interp 000000000040021c l d .note.ABI-tag 0000000000000000 .note.ABI-tag 000000000040023c l d .note.gnu.build-id 0000000000000000 .note.gnu.build-id 0000000000400260 l d .gnu.hash 0000000000000000 .gnu.hash 00000000004002c8 l d .dynsym 0000000000000000 .dynsym 0000000000400b20 l d .dynstr 0000000000000000 .dynstr 000000000040101c l d .gnu.version 0000000000000000 .gnu.version 00000000004010d0 l d .gnu.version_r 0000000000000000 .gnu.version_r 0000000000401120 l d .rela.dyn 0000000000000000 .rela.dyn 00000000004011c8 l d .rela.plt 0000000000000000 .rela.plt 0000000000401888 l d .init 0000000000000000 .init 00000000004018a0 l d .plt 0000000000000000 .plt 0000000000401d30 l d .text 0000000000000000 .text 0000000000408f18 l d .fini 0000000000000000 .fini 0000000000408f30 l d .rodata 0000000000000000 .rodata 000000000040a548 l d .eh_frame_hdr 0000000000000000 .eh_frame_hdr 000000000040a698 l d .eh_frame 0000000000000000 .eh_frame 000000000060b248 l d .ctors 0000000000000000 .ctors 000000000060b258 l d .dtors 0000000000000000 .dtors 000000000060b268 l d .jcr 0000000000000000 .jcr 000000000060b270 l d .dynamic 0000000000000000 .dynamic 000000000060b490 l d .got 0000000000000000 .got 000000000060b4c8 l d .got.plt 0000000000000000 .got.plt 000000000060b720 l d .data 0000000000000000 .data 000000000060bab0 l d .bss 0000000000000000 .bss 0000000000000000 l d .comment 0000000000000000 .comment 0000000000401d5c l F .text 0000000000000000 call_gmon_start 0000000000000000 l df *ABS* 0000000000000000 crtstuff.c 000000000060b248 l O .ctors 0000000000000000 __CTOR_LIST__ 000000000060b258 l O .dtors 0000000000000000 __DTOR_LIST__ 000000000060b268 l O .jcr 0000000000000000 __JCR_LIST__ 0000000000401d80 l F .text 0000000000000000 __do_global_dtors_aux 000000000060bab0 l O .bss 0000000000000001 completed.6349 000000000060bab8 l O .bss 0000000000000008 dtor_idx.6351 0000000000401df0 l F .text 0000000000000000 frame_dummy 0000000000000000 l df *ABS* 0000000000000000 crtstuff.c 000000000060b250 l O .ctors 0000000000000000 __CTOR_END__ 000000000040b240 l O .eh_frame 0000000000000000 __FRAME_END__ 000000000060b268 l O .jcr 0000000000000000 __JCR_END__ 0000000000408ee0 l F .text 0000000000000000 __do_global_ctors_aux 0000000000000000 l df *ABS* 0000000000000000 tiff2geotiff.cpp 0000000000401e20 l F .text 0000000000000058 _ZL5usagev 0000000000401e80 l F .text 00000000000003ae _ZL12applyCornersPfS_P4tiff 000000000060bb28 l O .bss 0000000000000008 _ZL8p4string 000000000060bb20 l O .bss 0000000000000004 _ZL17currentImageWidth 000000000060bb24 l O .bss 0000000000000004 _ZL18currentImageHeight 000000000060bad0 l O .bss 0000000000000004 _ZL6ignore 0000000000402230 l F .text 000000000000164f _ZL6tiffcpP4tiffS0_ 000000000060bac0 l O .bss 0000000000000004 _ZL14convert_8_to_4 000000000060bb0a l O .bss 0000000000000002 _ZL11compression 000000000060bb0e l O .bss 0000000000000002 _ZL9fillorder 000000000060b750 l O .data 0000000000000004 _ZL8outtiled 000000000060bb14 l O .bss 0000000000000004 _ZL9tilewidth 000000000060bb18 l O .bss 0000000000000004 _ZL10tilelength 000000000060bb08 l O .bss 0000000000000002 _ZL6config 000000000060bb1c l O .bss 0000000000000004 _ZL6g3opts 000000000060b780 l O .data 0000000000000138 _ZL4tags 000000000060bad8 l O .bss 0000000000000008 _ZL7geofile 000000000060bac8 l O .bss 0000000000000008 _ZL9worldfile 0000000000406410 l F .text 00000000000000aa _ZL27cpContigTiles2SeparateTilesP4tiffS0_jjt 00000000004060a0 l F .text 000000000000014a _ZL28cpContigTiles2SeparateStripsP4tiffS0_jjt 0000000000404380 l F .text 000000000000016c _ZL22cpContig2SeparateByRowP4tiffS0_jjt 0000000000405d10 l F .text 00000000000000b7 _ZL28cpContigStrips2SeparateTilesP4tiffS0_jjt 000000000060bb10 l O .bss 0000000000000004 _ZL12rowsperstrip 000000000060bb0c l O .bss 0000000000000002 _ZL9predictor 000000000060b760 l O .data 0000000000000004 _ZL13jpegcolormode 0000000000406360 l F .text 00000000000000aa _ZL27cpSeparateTiles2ContigTilesP4tiffS0_jjt 0000000000405fe0 l F .text 00000000000000b7 _ZL28cpSeparateTiles2ContigStripsP4tiffS0_jjt 0000000000405bd0 l F .text 000000000000013c _ZL28cpSeparateStrips2ContigTilesP4tiffS0_jjt 0000000000404200 l F .text 0000000000000174 _ZL22cpSeparate2ContigByRowP4tiffS0_jjt 000000000060b75c l O .data 0000000000000004 _ZL7quality 000000000060bb00 l O .bss 0000000000000008 _ZL12proj4_string 000000000060baf8 l O .bss 0000000000000008 _ZL8timeFile 000000000060bae8 l O .bss 0000000000000008 _ZL14timeLonLatFile 000000000060bb30 l O .bss 0000000000000004 _ZL6dirnum 0000000000405e90 l F .text 000000000000014a _ZL30cpSeparateTiles2SeparateStripsP4tiffS0_jjt 00000000004062b0 l F .text 00000000000000aa _ZL29cpSeparateTiles2SeparateTilesP4tiffS0_jjt 0000000000404130 l F .text 00000000000000c9 _ZL24cpSeparate2SeparateByRowP4tiffS0_jjt 0000000000405a90 l F .text 000000000000013e _ZL30cpSeparateStrips2SeparateTilesP4tiffS0_jjt 00000000004059e0 l F .text 00000000000000aa _ZL25cpContigTiles2ContigTilesP4tiffS0_jjt 00000000004061f0 l F .text 00000000000000b7 _ZL26cpContigTiles2ContigStripsP4tiffS0_jjt 0000000000405dd0 l F .text 00000000000000b7 _ZL26cpContigStrips2ContigTilesP4tiffS0_jjt 00000000004048b0 l F .text 00000000000000f9 _ZL15cpDecodedStripsP4tiffS0_jjt 0000000000404590 l F .text 000000000000012a _ZL27cpContig2ContigByRow_8_to_4P4tiffS0_jjt 000000000060b740 l O .data 0000000000000010 _ZL10lonLatExts 00000000004044f0 l F .text 0000000000000093 _ZL20cpContig2ContigByRowP4tiffS0_jjt 000000000060bae0 l O .bss 0000000000000008 _ZL14timeLonLatName 000000000060b754 l O .data 0000000000000002 _ZL14defcompression 000000000060baf0 l O .bss 0000000000000008 _ZL8timeName 000000000060b756 l O .data 0000000000000002 _ZL12defpredictor 000000000060b758 l O .data 0000000000000004 _ZL9defg3opts 0000000000404060 l F .text 0000000000000059 _ZL26readContigStripsIntoBufferP4tiffPhjjt 00000000004040c0 l F .text 0000000000000066 _ZL25writeBufferToContigStripsP4tiffPhjjt 00000000004046c0 l F .text 00000000000000f1 _ZL27writeBufferToSeparateStripsP4tiffPhjjt 00000000004047c0 l F .text 00000000000000e9 _ZL28readSeparateStripsIntoBufferP4tiffPhjjt 00000000004049b0 l F .text 0000000000000315 _ZL27readSeparateTilesIntoBufferP4tiffPhjjt 0000000000404cd0 l F .text 00000000000004ca _ZL25readContigTilesIntoBufferP4tiffPhjjt 00000000004051a0 l F .text 0000000000000367 _ZL26writeBufferToSeparateTilesP4tiffPhjjt 0000000000405510 l F .text 00000000000004c4 _ZL24writeBufferToContigTilesP4tiffPhjjt 0000000000000000 l df *ABS* 0000000000000000 geotiff_proj4.cpp 00000000004064c0 l F .text 0000000000000040 _ZL17OSRFreeStringListPPc 00000000004077b0 l F .text 00000000000000a2 _ZL7OSR_GSVPPcPKc 0000000000407860 l F .text 00000000000000d2 _ZL7OSR_GDVPPcPKcd 0000000000000000 l df *ABS* 0000000000000000 getopt.cpp 000000000060baa8 l O .data 0000000000000008 _ZZ6getoptiPPcPKcE5place 000000000060b4c8 l O .got.plt 0000000000000000 _GLOBAL_OFFSET_TABLE_ 000000000060b244 l .ctors 0000000000000000 __init_array_end 000000000060b244 l .ctors 0000000000000000 __init_array_start 000000000060b270 l O .dynamic 0000000000000000 _DYNAMIC 000000000060b720 w .data 0000000000000000 data_start 0000000000000000 F *UND* 0000000000000000 TIFFWriteScanline 000000000060ba98 w O .data 0000000000000008 .hidden DW.ref.__gxx_personality_v0 0000000000000000 F *UND* 0000000000000000 TIFFError 0000000000408e40 g F .text 0000000000000002 __libc_csu_fini 0000000000401d30 g F .text 0000000000000000 _start 0000000000000000 F *UND* 0000000000000000 TIFFWriteTile 0000000000000000 F *UND* 0000000000000000 GTIFKeySet 0000000000000000 F *UND* 0000000000000000 TIFFFileName 0000000000000000 w *UND* 0000000000000000 __gmon_start__ 0000000000000000 w *UND* 0000000000000000 _Jv_RegisterClasses 0000000000000000 F *UND* 0000000000000000 puts@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 _Znam@@GLIBCXX_3.4 000000000060bb38 g O .bss 0000000000000008 myoptarg 0000000000000000 F *UND* 0000000000000000 exit@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFRasterScanlineSize 0000000000000000 F *UND* 0000000000000000 TIFFDefaultStripSize 0000000000000000 F *UND* 0000000000000000 strcasecmp@@GLIBC_2.2.5 0000000000408f18 g F .fini 0000000000000000 _fini 0000000000000000 F *UND* 0000000000000000 fopen@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 __libc_start_main@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 _TIFFmalloc 0000000000000000 F *UND* 0000000000000000 gtCSLCount 000000000060bb40 g O .bss 0000000000000004 optopt 0000000000000000 F *UND* 0000000000000000 GTIFNew 0000000000407670 g F .text 0000000000000131 GTIFProj4FromLatLong 000000000060b8c0 g O .data 00000000000001d8 stuff 0000000000408f30 g O .rodata 0000000000000004 _IO_stdin_used 0000000000000000 F *UND* 0000000000000000 GTIFImport 0000000000000000 F *UND* 0000000000000000 free@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 strlen@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 pj_strerrno 000000000060b720 g .data 0000000000000000 __data_start 0000000000000000 F *UND* 0000000000000000 pj_init 0000000000000000 F *UND* 0000000000000000 pj_inv 0000000000000000 F *UND* 0000000000000000 TIFFScanlineSize 0000000000000000 F *UND* 0000000000000000 TIFFWarning 0000000000000000 F *UND* 0000000000000000 pj_get_errno_ref 0000000000000000 F *UND* 0000000000000000 sprintf@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 strrchr@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 pj_is_latlong 0000000000000000 F *UND* 0000000000000000 sscanf@@GLIBC_2.2.5 0000000000407940 g F .text 0000000000001269 _Z20GTIFSetFromProj4_WRFP5gtiffPKc 0000000000000000 F *UND* 0000000000000000 XTIFFOpen 0000000000000000 F *UND* 0000000000000000 pj_free 0000000000000000 F *UND* 0000000000000000 strcat@@GLIBC_2.2.5 0000000000408f38 g O .rodata 0000000000000000 .hidden __dso_handle 0000000000000000 F *UND* 0000000000000000 strtol@@GLIBC_2.2.5 000000000060b260 g O .dtors 0000000000000000 .hidden __DTOR_END__ 0000000000408e50 g F .text 0000000000000089 __libc_csu_init 0000000000000000 F *UND* 0000000000000000 pj_fwd 0000000000000000 F *UND* 0000000000000000 TIFFGetField 0000000000000000 F *UND* 0000000000000000 TIFFDefaultTileSize 0000000000000000 F *UND* 0000000000000000 _TIFFfree 0000000000000000 F *UND* 0000000000000000 TIFFVStripSize 000000000060baa0 g O .data 0000000000000004 optind 0000000000000000 F *UND* 0000000000000000 setbuf@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFWriteDirectory 0000000000000000 F *UND* 0000000000000000 strchr@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFIsTiled 0000000000000000 F *UND* 0000000000000000 strdup@@GLIBC_2.2.5 000000000060bab0 g *ABS* 0000000000000000 __bss_start 0000000000000000 F *UND* 0000000000000000 TIFFStripSize 0000000000000000 F *UND* 0000000000000000 strncasecmp@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFSetField 0000000000408bb0 g F .text 000000000000028f _Z6getoptiPPcPKc 0000000000000000 F *UND* 0000000000000000 strcpy@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 pj_init_plus 0000000000000000 F *UND* 0000000000000000 TIFFTileSize 0000000000000000 F *UND* 0000000000000000 calloc@@GLIBC_2.2.5 000000000060bb48 g *ABS* 0000000000000000 _end 0000000000000000 F *UND* 0000000000000000 pj_transform 0000000000000000 F *UND* 0000000000000000 TIFFReadTile 0000000000000000 F *UND* 0000000000000000 fclose@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFSetSubDirectory 0000000000000000 F *UND* 0000000000000000 GTIFFree 0000000000407530 g F .text 0000000000000139 GTIFProj4ToLatLong 0000000000000000 F *UND* 0000000000000000 fscanf@@GLIBC_2.2.5 0000000000000000 O *UND* 0000000000000000 stderr@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFReadDirectory 0000000000000000 F *UND* 0000000000000000 gtCSLDestroy 0000000000000000 F *UND* 0000000000000000 gtCSLTokenizeStringComplex 0000000000000000 F *UND* 0000000000000000 fwrite@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFNumberOfStrips 0000000000000000 F *UND* 0000000000000000 TIFFWriteEncodedStrip 0000000000406500 g F .text 0000000000001021 GTIFGetProj4Defn 0000000000000000 F *UND* 0000000000000000 perror@@GLIBC_2.2.5 000000000060bab0 g *ABS* 0000000000000000 _edata 0000000000401ca0 F *UND* 0000000000000000 __gxx_personality_v0@@CXXABI_1.3 0000000000000000 F *UND* 0000000000000000 XTIFFClose 0000000000000000 F *UND* 0000000000000000 GTIFWriteKeys 0000000000000000 F *UND* 0000000000000000 fprintf@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFReadScanline 0000000000000000 F *UND* 0000000000000000 TIFFTileRowSize 0000000000000000 F *UND* 0000000000000000 strtoul@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFReadEncodedStrip 000000000060baa4 g O .data 0000000000000004 opterr 0000000000000000 F *UND* 0000000000000000 strtod@@GLIBC_2.2.5 0000000000403880 g F .text 00000000000007d1 main 0000000000401888 g F .init 0000000000000000 _init
samuelli
Hi Milan, Would you like to try two more things to help us diagnose the problem? The first is to use an installer with debug on, so you can save a core dump file when it crashes, and we could analyze that core dump file. More specifically, you can download a custom installer at: https://drive.google.com/open?id=0B0dQMtxB89M0NzlVRmdaanRXQUk Install it, and run tiff2geotiff with gdb to save a core dump file. More details on how to save a core dump file could be found here: https://wiki.archlinux.org/index.php/Core_dump. The second thing to try is to save the intermediate files generated by the NCL script, and we examine if the intermediate files are correctly generated by NCL. To keep the intermediate files, you need to touch the "$VAPOR_HOME/share/examples/NCL/wrf2geotiff.ncl" file in the VAPOR installation, change the 4th line to be false: "_wrf2geotiff_DEBUG = False". Then rerun the script, and send us the intermediate files fed in tiff2geotiff. Let us know how they work! Thanks, Samuel
milan.salek_661499
Hi Samuelli, I posted the last comment a week ago but it seems to have disappeared. Therefore I post the outputs of the commands once again. Thank for your patience, Milan ldd /opt/vapor-2.6.0.RC0/bin/tiff2geotiff: linux-vdso.so.1 => (0x00007ffd5917a000) librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f748304c000) libtiff.so.5 => /opt/vapor-2.6.0.RC0/lib/libtiff.so.5 (0x00007f7482dbe000) libgeotiff.so.2 => /opt/vapor-2.6.0.RC0/lib/libgeotiff.so.2 (0x00007f7482b8c000) libproj.so.0 => /opt/vapor-2.6.0.RC0/lib/libproj.so.0 (0x00007f748291e000) libstdc++.so.6 => /usr/lib/x86_64-linux-gnu/libstdc++.so.6 (0x00007f748259c000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f7482292000) libgcc_s.so.1 => /lib/x86_64-linux-gnu/libgcc_s.so.1 (0x00007f748207c000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f7481e5f000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f7481a95000) libjpeg.so.9 => /opt/vapor-2.6.0.RC0/lib/libjpeg.so.9 (0x00007f7481843000) libz.so.1 => /lib/x86_64-linux-gnu/libz.so.1 (0x00007f7481629000) /lib64/ld-linux-x86-64.so.2 (0x0000559ce1006000) -------------------------------------------------------------- objdump -x /opt/vapor-2.6.0.RC0/bin/tiff2geotiff: /opt/vapor-2.6.0.RC0/bin/tiff2geotiff: file format elf64-x86-64 /opt/vapor-2.6.0.RC0/bin/tiff2geotiff architecture: i386:x86-64, flags 0x00000112: EXEC_P, HAS_SYMS, D_PAGED start address 0x0000000000401d30 Program Header: PHDR off 0x0000000000000040 vaddr 0x0000000000400040 paddr 0x0000000000400040 align 2**3 filesz 0x00000000000001c0 memsz 0x00000000000001c0 flags r-x INTERP off 0x0000000000000200 vaddr 0x0000000000400200 paddr 0x0000000000400200 align 2**0 filesz 0x000000000000001c memsz 0x000000000000001c flags r-- LOAD off 0x0000000000000000 vaddr 0x0000000000400000 paddr 0x0000000000400000 align 2**21 filesz 0x000000000000b244 memsz 0x000000000000b244 flags r-x LOAD off 0x000000000000b248 vaddr 0x000000000060b248 paddr 0x000000000060b248 align 2**21 filesz 0x0000000000000868 memsz 0x0000000000000900 flags rw- DYNAMIC off 0x000000000000b270 vaddr 0x000000000060b270 paddr 0x000000000060b270 align 2**3 filesz 0x0000000000000220 memsz 0x0000000000000220 flags rw- NOTE off 0x000000000000021c vaddr 0x000000000040021c paddr 0x000000000040021c align 2**2 filesz 0x0000000000000044 memsz 0x0000000000000044 flags r-- EH_FRAME off 0x000000000000a548 vaddr 0x000000000040a548 paddr 0x000000000040a548 align 2**2 filesz 0x000000000000014c memsz 0x000000000000014c flags r-- STACK off 0x0000000000000000 vaddr 0x0000000000000000 paddr 0x0000000000000000 align 2**3 filesz 0x0000000000000000 memsz 0x0000000000000000 flags rw- Dynamic Section: NEEDED librt.so.1 NEEDED libtiff.so.5 NEEDED libgeotiff.so.2 NEEDED libproj.so.0 NEEDED libstdc++.so.6 NEEDED libm.so.6 NEEDED libgcc_s.so.1 NEEDED libpthread.so.0 NEEDED libc.so.6 RUNPATH /opt/vapor-2.6.0.RC0/lib INIT 0x0000000000401888 FINI 0x0000000000408f18 GNU_HASH 0x0000000000400260 STRTAB 0x0000000000400b20 SYMTAB 0x00000000004002c8 STRSZ 0x00000000000004fb SYMENT 0x0000000000000018 DEBUG 0x0000000000000000 PLTGOT 0x000000000060b4c8 PLTRELSZ 0x00000000000006c0 PLTREL 0x0000000000000007 JMPREL 0x00000000004011c8 RELA 0x0000000000401120 RELASZ 0x00000000000000a8 RELAENT 0x0000000000000018 VERNEED 0x00000000004010d0 VERNEEDNUM 0x0000000000000002 VERSYM 0x000000000040101c Version References: required from libstdc++.so.6: 0x056bafd3 0x00 04 CXXABI_1.3 0x08922974 0x00 03 GLIBCXX_3.4 required from libc.so.6: 0x09691a75 0x00 02 GLIBC_2.2.5 Sections: Idx Name Size VMA LMA File off Algn 0 .interp 0000001c 0000000000400200 0000000000400200 00000200 2**0 CONTENTS, ALLOC, LOAD, READONLY, DATA 1 .note.ABI-tag 00000020 000000000040021c 000000000040021c 0000021c 2**2 CONTENTS, ALLOC, LOAD, READONLY, DATA 2 .note.gnu.build-id 00000024 000000000040023c 000000000040023c 0000023c 2**2 CONTENTS, ALLOC, LOAD, READONLY, DATA 3 .gnu.hash 00000064 0000000000400260 0000000000400260 00000260 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 4 .dynsym 00000858 00000000004002c8 00000000004002c8 000002c8 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 5 .dynstr 000004fb 0000000000400b20 0000000000400b20 00000b20 2**0 CONTENTS, ALLOC, LOAD, READONLY, DATA 6 .gnu.version 000000b2 000000000040101c 000000000040101c 0000101c 2**1 CONTENTS, ALLOC, LOAD, READONLY, DATA 7 .gnu.version_r 00000050 00000000004010d0 00000000004010d0 000010d0 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 8 .rela.dyn 000000a8 0000000000401120 0000000000401120 00001120 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 9 .rela.plt 000006c0 00000000004011c8 00000000004011c8 000011c8 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 10 .init 00000018 0000000000401888 0000000000401888 00001888 2**2 CONTENTS, ALLOC, LOAD, READONLY, CODE 11 .plt 00000490 00000000004018a0 00000000004018a0 000018a0 2**2 CONTENTS, ALLOC, LOAD, READONLY, CODE 12 .text 000071e8 0000000000401d30 0000000000401d30 00001d30 2**4 CONTENTS, ALLOC, LOAD, READONLY, CODE 13 .fini 0000000e 0000000000408f18 0000000000408f18 00008f18 2**2 CONTENTS, ALLOC, LOAD, READONLY, CODE 14 .rodata 00001618 0000000000408f30 0000000000408f30 00008f30 2**4 CONTENTS, ALLOC, LOAD, READONLY, DATA 15 .eh_frame_hdr 0000014c 000000000040a548 000000000040a548 0000a548 2**2 CONTENTS, ALLOC, LOAD, READONLY, DATA 16 .eh_frame 00000bac 000000000040a698 000000000040a698 0000a698 2**3 CONTENTS, ALLOC, LOAD, READONLY, DATA 17 .ctors 00000010 000000000060b248 000000000060b248 0000b248 2**3 CONTENTS, ALLOC, LOAD, DATA 18 .dtors 00000010 000000000060b258 000000000060b258 0000b258 2**3 CONTENTS, ALLOC, LOAD, DATA 19 .jcr 00000008 000000000060b268 000000000060b268 0000b268 2**3 CONTENTS, ALLOC, LOAD, DATA 20 .dynamic 00000220 000000000060b270 000000000060b270 0000b270 2**3 CONTENTS, ALLOC, LOAD, DATA 21 .got 00000038 000000000060b490 000000000060b490 0000b490 2**3 CONTENTS, ALLOC, LOAD, DATA 22 .got.plt 00000258 000000000060b4c8 000000000060b4c8 0000b4c8 2**3 CONTENTS, ALLOC, LOAD, DATA 23 .data 00000390 000000000060b720 000000000060b720 0000b720 2**5 CONTENTS, ALLOC, LOAD, DATA 24 .bss 00000098 000000000060bab0 000000000060bab0 0000bab0 2**3 ALLOC 25 .comment 00000059 0000000000000000 0000000000000000 0000bab0 2**0 CONTENTS, READONLY SYMBOL TABLE: 0000000000400200 l d .interp 0000000000000000 .interp 000000000040021c l d .note.ABI-tag 0000000000000000 .note.ABI-tag 000000000040023c l d .note.gnu.build-id 0000000000000000 .note.gnu.build-id 0000000000400260 l d .gnu.hash 0000000000000000 .gnu.hash 00000000004002c8 l d .dynsym 0000000000000000 .dynsym 0000000000400b20 l d .dynstr 0000000000000000 .dynstr 000000000040101c l d .gnu.version 0000000000000000 .gnu.version 00000000004010d0 l d .gnu.version_r 0000000000000000 .gnu.version_r 0000000000401120 l d .rela.dyn 0000000000000000 .rela.dyn 00000000004011c8 l d .rela.plt 0000000000000000 .rela.plt 0000000000401888 l d .init 0000000000000000 .init 00000000004018a0 l d .plt 0000000000000000 .plt 0000000000401d30 l d .text 0000000000000000 .text 0000000000408f18 l d .fini 0000000000000000 .fini 0000000000408f30 l d .rodata 0000000000000000 .rodata 000000000040a548 l d .eh_frame_hdr 0000000000000000 .eh_frame_hdr 000000000040a698 l d .eh_frame 0000000000000000 .eh_frame 000000000060b248 l d .ctors 0000000000000000 .ctors 000000000060b258 l d .dtors 0000000000000000 .dtors 000000000060b268 l d .jcr 0000000000000000 .jcr 000000000060b270 l d .dynamic 0000000000000000 .dynamic 000000000060b490 l d .got 0000000000000000 .got 000000000060b4c8 l d .got.plt 0000000000000000 .got.plt 000000000060b720 l d .data 0000000000000000 .data 000000000060bab0 l d .bss 0000000000000000 .bss 0000000000000000 l d .comment 0000000000000000 .comment 0000000000401d5c l F .text 0000000000000000 call_gmon_start 0000000000000000 l df *ABS* 0000000000000000 crtstuff.c 000000000060b248 l O .ctors 0000000000000000 __CTOR_LIST__ 000000000060b258 l O .dtors 0000000000000000 __DTOR_LIST__ 000000000060b268 l O .jcr 0000000000000000 __JCR_LIST__ 0000000000401d80 l F .text 0000000000000000 __do_global_dtors_aux 000000000060bab0 l O .bss 0000000000000001 completed.6349 000000000060bab8 l O .bss 0000000000000008 dtor_idx.6351 0000000000401df0 l F .text 0000000000000000 frame_dummy 0000000000000000 l df *ABS* 0000000000000000 crtstuff.c 000000000060b250 l O .ctors 0000000000000000 __CTOR_END__ 000000000040b240 l O .eh_frame 0000000000000000 __FRAME_END__ 000000000060b268 l O .jcr 0000000000000000 __JCR_END__ 0000000000408ee0 l F .text 0000000000000000 __do_global_ctors_aux 0000000000000000 l df *ABS* 0000000000000000 tiff2geotiff.cpp 0000000000401e20 l F .text 0000000000000058 _ZL5usagev 0000000000401e80 l F .text 00000000000003ae _ZL12applyCornersPfS_P4tiff 000000000060bb28 l O .bss 0000000000000008 _ZL8p4string 000000000060bb20 l O .bss 0000000000000004 _ZL17currentImageWidth 000000000060bb24 l O .bss 0000000000000004 _ZL18currentImageHeight 000000000060bad0 l O .bss 0000000000000004 _ZL6ignore 0000000000402230 l F .text 000000000000164f _ZL6tiffcpP4tiffS0_ 000000000060bac0 l O .bss 0000000000000004 _ZL14convert_8_to_4 000000000060bb0a l O .bss 0000000000000002 _ZL11compression 000000000060bb0e l O .bss 0000000000000002 _ZL9fillorder 000000000060b750 l O .data 0000000000000004 _ZL8outtiled 000000000060bb14 l O .bss 0000000000000004 _ZL9tilewidth 000000000060bb18 l O .bss 0000000000000004 _ZL10tilelength 000000000060bb08 l O .bss 0000000000000002 _ZL6config 000000000060bb1c l O .bss 0000000000000004 _ZL6g3opts 000000000060b780 l O .data 0000000000000138 _ZL4tags 000000000060bad8 l O .bss 0000000000000008 _ZL7geofile 000000000060bac8 l O .bss 0000000000000008 _ZL9worldfile 0000000000406410 l F .text 00000000000000aa _ZL27cpContigTiles2SeparateTilesP4tiffS0_jjt 00000000004060a0 l F .text 000000000000014a _ZL28cpContigTiles2SeparateStripsP4tiffS0_jjt 0000000000404380 l F .text 000000000000016c _ZL22cpContig2SeparateByRowP4tiffS0_jjt 0000000000405d10 l F .text 00000000000000b7 _ZL28cpContigStrips2SeparateTilesP4tiffS0_jjt 000000000060bb10 l O .bss 0000000000000004 _ZL12rowsperstrip 000000000060bb0c l O .bss 0000000000000002 _ZL9predictor 000000000060b760 l O .data 0000000000000004 _ZL13jpegcolormode 0000000000406360 l F .text 00000000000000aa _ZL27cpSeparateTiles2ContigTilesP4tiffS0_jjt 0000000000405fe0 l F .text 00000000000000b7 _ZL28cpSeparateTiles2ContigStripsP4tiffS0_jjt 0000000000405bd0 l F .text 000000000000013c _ZL28cpSeparateStrips2ContigTilesP4tiffS0_jjt 0000000000404200 l F .text 0000000000000174 _ZL22cpSeparate2ContigByRowP4tiffS0_jjt 000000000060b75c l O .data 0000000000000004 _ZL7quality 000000000060bb00 l O .bss 0000000000000008 _ZL12proj4_string 000000000060baf8 l O .bss 0000000000000008 _ZL8timeFile 000000000060bae8 l O .bss 0000000000000008 _ZL14timeLonLatFile 000000000060bb30 l O .bss 0000000000000004 _ZL6dirnum 0000000000405e90 l F .text 000000000000014a _ZL30cpSeparateTiles2SeparateStripsP4tiffS0_jjt 00000000004062b0 l F .text 00000000000000aa _ZL29cpSeparateTiles2SeparateTilesP4tiffS0_jjt 0000000000404130 l F .text 00000000000000c9 _ZL24cpSeparate2SeparateByRowP4tiffS0_jjt 0000000000405a90 l F .text 000000000000013e _ZL30cpSeparateStrips2SeparateTilesP4tiffS0_jjt 00000000004059e0 l F .text 00000000000000aa _ZL25cpContigTiles2ContigTilesP4tiffS0_jjt 00000000004061f0 l F .text 00000000000000b7 _ZL26cpContigTiles2ContigStripsP4tiffS0_jjt 0000000000405dd0 l F .text 00000000000000b7 _ZL26cpContigStrips2ContigTilesP4tiffS0_jjt 00000000004048b0 l F .text 00000000000000f9 _ZL15cpDecodedStripsP4tiffS0_jjt 0000000000404590 l F .text 000000000000012a _ZL27cpContig2ContigByRow_8_to_4P4tiffS0_jjt 000000000060b740 l O .data 0000000000000010 _ZL10lonLatExts 00000000004044f0 l F .text 0000000000000093 _ZL20cpContig2ContigByRowP4tiffS0_jjt 000000000060bae0 l O .bss 0000000000000008 _ZL14timeLonLatName 000000000060b754 l O .data 0000000000000002 _ZL14defcompression 000000000060baf0 l O .bss 0000000000000008 _ZL8timeName 000000000060b756 l O .data 0000000000000002 _ZL12defpredictor 000000000060b758 l O .data 0000000000000004 _ZL9defg3opts 0000000000404060 l F .text 0000000000000059 _ZL26readContigStripsIntoBufferP4tiffPhjjt 00000000004040c0 l F .text 0000000000000066 _ZL25writeBufferToContigStripsP4tiffPhjjt 00000000004046c0 l F .text 00000000000000f1 _ZL27writeBufferToSeparateStripsP4tiffPhjjt 00000000004047c0 l F .text 00000000000000e9 _ZL28readSeparateStripsIntoBufferP4tiffPhjjt 00000000004049b0 l F .text 0000000000000315 _ZL27readSeparateTilesIntoBufferP4tiffPhjjt 0000000000404cd0 l F .text 00000000000004ca _ZL25readContigTilesIntoBufferP4tiffPhjjt 00000000004051a0 l F .text 0000000000000367 _ZL26writeBufferToSeparateTilesP4tiffPhjjt 0000000000405510 l F .text 00000000000004c4 _ZL24writeBufferToContigTilesP4tiffPhjjt 0000000000000000 l df *ABS* 0000000000000000 geotiff_proj4.cpp 00000000004064c0 l F .text 0000000000000040 _ZL17OSRFreeStringListPPc 00000000004077b0 l F .text 00000000000000a2 _ZL7OSR_GSVPPcPKc 0000000000407860 l F .text 00000000000000d2 _ZL7OSR_GDVPPcPKcd 0000000000000000 l df *ABS* 0000000000000000 getopt.cpp 000000000060baa8 l O .data 0000000000000008 _ZZ6getoptiPPcPKcE5place 000000000060b4c8 l O .got.plt 0000000000000000 _GLOBAL_OFFSET_TABLE_ 000000000060b244 l .ctors 0000000000000000 __init_array_end 000000000060b244 l .ctors 0000000000000000 __init_array_start 000000000060b270 l O .dynamic 0000000000000000 _DYNAMIC 000000000060b720 w .data 0000000000000000 data_start 0000000000000000 F *UND* 0000000000000000 TIFFWriteScanline 000000000060ba98 w O .data 0000000000000008 .hidden DW.ref.__gxx_personality_v0 0000000000000000 F *UND* 0000000000000000 TIFFError 0000000000408e40 g F .text 0000000000000002 __libc_csu_fini 0000000000401d30 g F .text 0000000000000000 _start 0000000000000000 F *UND* 0000000000000000 TIFFWriteTile 0000000000000000 F *UND* 0000000000000000 GTIFKeySet 0000000000000000 F *UND* 0000000000000000 TIFFFileName 0000000000000000 w *UND* 0000000000000000 __gmon_start__ 0000000000000000 w *UND* 0000000000000000 _Jv_RegisterClasses 0000000000000000 F *UND* 0000000000000000 puts@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 _Znam@@GLIBCXX_3.4 000000000060bb38 g O .bss 0000000000000008 myoptarg 0000000000000000 F *UND* 0000000000000000 exit@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFRasterScanlineSize 0000000000000000 F *UND* 0000000000000000 TIFFDefaultStripSize 0000000000000000 F *UND* 0000000000000000 strcasecmp@@GLIBC_2.2.5 0000000000408f18 g F .fini 0000000000000000 _fini 0000000000000000 F *UND* 0000000000000000 fopen@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 __libc_start_main@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 _TIFFmalloc 0000000000000000 F *UND* 0000000000000000 gtCSLCount 000000000060bb40 g O .bss 0000000000000004 optopt 0000000000000000 F *UND* 0000000000000000 GTIFNew 0000000000407670 g F .text 0000000000000131 GTIFProj4FromLatLong 000000000060b8c0 g O .data 00000000000001d8 stuff 0000000000408f30 g O .rodata 0000000000000004 _IO_stdin_used 0000000000000000 F *UND* 0000000000000000 GTIFImport 0000000000000000 F *UND* 0000000000000000 free@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 strlen@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 pj_strerrno 000000000060b720 g .data 0000000000000000 __data_start 0000000000000000 F *UND* 0000000000000000 pj_init 0000000000000000 F *UND* 0000000000000000 pj_inv 0000000000000000 F *UND* 0000000000000000 TIFFScanlineSize 0000000000000000 F *UND* 0000000000000000 TIFFWarning 0000000000000000 F *UND* 0000000000000000 pj_get_errno_ref 0000000000000000 F *UND* 0000000000000000 sprintf@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 strrchr@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 pj_is_latlong 0000000000000000 F *UND* 0000000000000000 sscanf@@GLIBC_2.2.5 0000000000407940 g F .text 0000000000001269 _Z20GTIFSetFromProj4_WRFP5gtiffPKc 0000000000000000 F *UND* 0000000000000000 XTIFFOpen 0000000000000000 F *UND* 0000000000000000 pj_free 0000000000000000 F *UND* 0000000000000000 strcat@@GLIBC_2.2.5 0000000000408f38 g O .rodata 0000000000000000 .hidden __dso_handle 0000000000000000 F *UND* 0000000000000000 strtol@@GLIBC_2.2.5 000000000060b260 g O .dtors 0000000000000000 .hidden __DTOR_END__ 0000000000408e50 g F .text 0000000000000089 __libc_csu_init 0000000000000000 F *UND* 0000000000000000 pj_fwd 0000000000000000 F *UND* 0000000000000000 TIFFGetField 0000000000000000 F *UND* 0000000000000000 TIFFDefaultTileSize 0000000000000000 F *UND* 0000000000000000 _TIFFfree 0000000000000000 F *UND* 0000000000000000 TIFFVStripSize 000000000060baa0 g O .data 0000000000000004 optind 0000000000000000 F *UND* 0000000000000000 setbuf@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFWriteDirectory 0000000000000000 F *UND* 0000000000000000 strchr@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFIsTiled 0000000000000000 F *UND* 0000000000000000 strdup@@GLIBC_2.2.5 000000000060bab0 g *ABS* 0000000000000000 __bss_start 0000000000000000 F *UND* 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0000000000000000 TIFFReadDirectory 0000000000000000 F *UND* 0000000000000000 gtCSLDestroy 0000000000000000 F *UND* 0000000000000000 gtCSLTokenizeStringComplex 0000000000000000 F *UND* 0000000000000000 fwrite@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFNumberOfStrips 0000000000000000 F *UND* 0000000000000000 TIFFWriteEncodedStrip 0000000000406500 g F .text 0000000000001021 GTIFGetProj4Defn 0000000000000000 F *UND* 0000000000000000 perror@@GLIBC_2.2.5 000000000060bab0 g *ABS* 0000000000000000 _edata 0000000000401ca0 F *UND* 0000000000000000 __gxx_personality_v0@@CXXABI_1.3 0000000000000000 F *UND* 0000000000000000 XTIFFClose 0000000000000000 F *UND* 0000000000000000 GTIFWriteKeys 0000000000000000 F *UND* 0000000000000000 fprintf@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFReadScanline 0000000000000000 F *UND* 0000000000000000 TIFFTileRowSize 0000000000000000 F *UND* 0000000000000000 strtoul@@GLIBC_2.2.5 0000000000000000 F *UND* 0000000000000000 TIFFReadEncodedStrip 000000000060baa4 g O .data 0000000000000004 opterr 0000000000000000 F *UND* 0000000000000000 strtod@@GLIBC_2.2.5 0000000000403880 g F .text 00000000000007d1 main 0000000000401888 g F .init 0000000000000000 _init
cristianarango2
Hi Milan. I Have the same problem about the segmentation fault(core dumped) when i try to run tiff2geotiff. Did you resolve the problem?. Thanks for the answer
y.m.umer_667295
Hi Milan and Cristian, I have received the same segmentation fault when running the script. Please let me know if you have solved the problem/how to solve the problem. Yakob