- Cin - Cinelerra-GG Mailing Lists

Cinelerra-CV
by Andrea paz 03 Jul '19

03 Jul '19

@Sam Thank you very much for saving all the data and the Cinelerra-CV mailing list. I am very sorry that no one has kept the old website alive.

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Quick notice that the new monthly builds are available
by Phyllis Smith 01 Jul '19

01 Jul '19

New monthly build ready -- I am STILL working on the Masks document but I know some users have automatic updates turned on so did not want them to be surprised. An update and release notes will be forthcoming. gg/phyllis

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Valgrind
by Andrea paz 01 Jul '19

01 Jul '19

To thank you for the enormous developments you continue to bring, I have made a "valgrind" that I hope will be useful. I've played a little with masks, with Gradient and with Sketcher. In the latter I caused the freeze with the color picker and then I came out with CTRL+C causing the creation of a dump. I used as settings in Preferences: Vdpau and OpenGL.

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[SemiOT] CUDA
by Andrea paz 28 Jun '19

28 Jun '19

I installed Cuda on my arch. To verify the success of the installation I tried to compile one of the samples (deviceQuery). I get the following error: [root@archpaz paz]# cd /home/paz/cuda/ [root@archpaz cuda]# make /opt/cuda/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=sm_35 -gencode arch=compute_37,code=sm_37 -gencode arch=compute_50,code=sm_50 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_61,code=sm_61 -gencode arch=compute_70,code=sm_70 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_75,code=compute_75 -o deviceQuery.o -c deviceQuery.cpp deviceQuery.cpp:17:10: fatal error: helper_cuda.h: File o directory non esistente 17 | #include <helper_cuda.h> | ^~~~~~~~~~~~~~~ compilation terminated. make: *** [Makefile:288: deviceQuery.o] Error 1 Does anyone know what a mistake it is and how to make cuda work?

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Cinelerra for Leap 15.0 vs Leap 15.1 ?
by Terje J Hanssen 24 Jun '19

24 Jun '19

Hi, I did my Leap online distro upgrade from 15.0 to 15.1 shortly after the 15.1 release of May 22. The current Cinelerra Leap15 common repo contains packages for both leap15.0 and leap15.1 https://cinelerra-gg.org/download/pkgs/leap15/ [ ] cinelerra-5.1-leap15.0-20190531.x86_64.rpm 2019-05-31 17:19 59M [ ] cinelerra-5.1-leap15.1-20190531.x86_64.rpm 2019-05-31 21:59 59M [ ] cinelerra10bit-5.1-leap15.0-20190531.x86_64.rpm 2019-05-31 17:47 59M [ ] cinelerra10bit-5.1-leap15.1-20190531.x86_64.rpm 2019-05-31 22:34 59M [DIR] repodata/ 2019-05-31 23:25 - Output from my Leap 15.1 installation: # zypper lr -U cingg Alias : cingg Name : cingg URI : https://cinelerra-gg.org/download/pkgs/leap15/ Enabled : Yes GPG Check : ( p) Yes # zypper se -is cinelerra Loading repository data... Reading installed packages... S | Name | Type | Version | Arch | Repository ---+----------------+---------+--------------+--------+----------- i+ | cinelerra | package | 5.1-20190531 | x86_64 | cingg i+ | cinelerra10bit | package | 5.1-20190531 | x86_64 | cingg # rpm -qa | grep cinelerra cinelerra10bit-5.1-20190531.x86_64 cinelerra-5.1-20190531.x86_64 I wonder if Leap15.1 automatically select the correct Cin 15.1 packages during upgrade, and is there any way to query to get confirmed that this Cin package version is really installed? Thanks, Terje J. H

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no cin in Mint
by Douglas Pollard 22 Jun '19

22 Jun '19

I hacve tride to download Cinelerra GG into mint 19.1 using the terminal all installs except for Cin. It seems Mint can't find Cin. Anyone have a suggestion? Thanks, Doug

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Subtitles
by edouard chalaron 21 Jun '19

21 Jun '19

Hi Igor Yes; many thanks for the reference, been there Couple of points though : - I understand it works for DVD (as in not bluray yet).What about other formats ? like 24 fps films in 2 or 4 K for say ? - can one import a srt file ? or at least a srt converted with libass ? Many thanksEd Hi Edouard. Have you read the CinelerraGG_manual.pdf? In Chapter 13.4.3_Subtitles you can find the steps. The manual is in cinelerra-gg site -> Support --> Documentation http://www.cinelerra-gg.org/downloads/#documentation Note: 1) Consider that you can not see the texts in the Compositor if you use subtitles. 2) you can only save the subtitles in a file that you can use with others software (more or less) IgorBeg

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Optimizing playback
by Andrea paz 19 Jun '19

19 Jun '19

https://www.youtube.com/watch?v=A6DmHjZhXo0 >From 2:20 to 4:05 I summarize briefly because it is in Italian. Compare "old" concept software (Kdenlive) that is heavy and limited in playback with "new" concept software (Olive). You can see that even if you add more effects and go back and forth, you don't notice the slowdown (also 2x reverse playback!). Can you find any optimization for CinGG by looking at its code?

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Past subtitles
by edouard chalaron 18 Jun '19

18 Jun '19

Hello all Could someone point me towards a howto "past subtitle" function ? or a way I can I import a srt file ?such as : 300:02:04,201 --> 00:02:06,651Whatever comment I want to put here! Many thanksEd

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GIT checkin includes Cakewalk update + limited specialized hardware acceleration options.
by Phyllis Smith 17 Jun '19

17 Jun '19

Today's GIT checkin includes: - Cakewalk update - Nvenc option for encoding/rendering hardware acceleration for computers with Nvidia graphics for h264/h265. - Cuda build option for systems that already have the Cuda software loaded - with 2 demo plugins available. ---------------------------------------------------------------------------------------------------------------------------------------------- More info on the hardware acceleration options follow. Some testing done on Fedora 29 and Leap 15, but not all possibilities have been tried. I would expect to see some fallout. ---------------------------------------------------------------------------------------------------------------------------------------------- NVENC/NVDEC for Nvidia graphics board encoding and decoding will automatically be built by way of the configure scripts. But first, before anyone gets too excited, let me just warn you that the ONLY encode codec Nvidia chose to support is H264 and H265 with H265 available on just the latest graphics boards (supposedly at least the ones with the Maxwell chip). Also included in the ffmpeg build is "nvdec" but we have not figured out yet how this affects the hardware acceleration already in place with the use of CIN_HW_DEV=vdpau. Some information that was posted online 11/04/2018 -- "VDPAU falling away into irrelevance but no clear statements that consumers should switch to nvdec or that nvidia will advance VDPAU feature parity. ...All of these things make it hard to see what the correct way to approach nvidia support is, and even if you pick one, you can't actually integrate in a simple way." The easiest way to determine if nvenc is working for you is just to do a short render using h264_nvenc.mp4 or h265_nvenc.mp4 and see if it works or just gives you an error message. Error message for computers without nvdia cards (or not implemented) is: Cannot load libcuda.so.1 on the window from where your started cin. BTW this libcuda is part of nvidia libraries in the Operating System and does not mean you have CUDA in. A 2 minute demo from Big Buck Bunny 3804x2160, took 6 minutes 3 seconds with nvenc to render as opposed to 22 minutes 30 seconds without nvenc -- so not quite 4 times faster and I had no plugins added on a 4 core Intel laptop with an Nvidia 950M graphics board. ------------------------------------------------------------------------------------------------------------------------------------------- CUDA® is a parallel computing platform / programming model that provides big increases in computing performance through use of the GPU, graphics processing unit. It was first introduced in about 2006 for applications in computationally intense fields such as astronomy, biology, chemistry, and physics. The use of Cuda is not going to improve the playing and rendering of video in Cinelerra EXCEPT in the case where you use a specific CUDA-enabled plugin that is computationally intense - sadly, most of what Cin does, Cuda will not help. Cuda is mostly a "block oriented algorithm" which works well for such things as "a flock of birds all flying next to each other". If you have already installed the Cuda software on your computer -- and let me warn you, this is about 3GB of additional space usage -- the default build in the configure script is for cuda is "auto". Otherwise it will NOT be included. Obviously, you must have the Nvdia drivers for your graphics board installed too. Cuda is available to install on your computer only for a specific set of Operating System distros. Go to the following website: https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86… and gg says follow the very good set of directions to install around 3 GB. It installs repos by package. Also, install the "fusion repo" -- we do not know if this needs to be installed or not, but all of our test included it. I will attempt to create a demo a little later and there will most likely be a Ubuntu16 and Mint18 build available soon for testing purposes. gg/Phyllis

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