Dan, >> Here are some notes about things that didn't transfer: >> >> * producer loader in services.txt not copied anywhere. > >ok, it is special - not meant to be used directly. > >> * filter gtkrescale in services.txt not copied anywhere. (normalizing >> filter) > >Maybe we will eventually add metadata for special services and tag >them appropriately in order to document them, but I want to get the >more user-facing ones done first. > >> * Discrepencies between filter luma yml and services.txt: >> - filter_luma.yml includes "cycle" and "duration" with default 25 >> - services.txt includes "period" with default 24 > >This is intentional. services.txt is not authoritative; the source >code is. I went through your previous batch and made changes. I will >do the same with this most recent batch. > >> * filter resample in services.txt not copied anywhere. (normalizing filter) >> * filter rescale in services.txt not copied anywhere. (normalizing filter) >> * filter resize in services.txt not copied anywhere. (normalizing filter) > >ok > >> * transition composite in services.txt not copied anywhere. > >I guess that is because you did not get around to it? > >> * "dependencies" listed for each module in services.txt are not carried over >> to the .yml files. > >That is fine. > >> I've taken it as far as I can without further guidance. Please let me know >> if there is anything else I can do to help with this effort. > >Maybe do those special normalizing filters and put a "Hidden" tag on them.
Here is my latest commit: https://github.com/pez4brian/mlt/commit/7ab250081fe5047c0f082dd825a7fc0b28f2acfd I added all the normalizing filters. For each, I added a "visibililty" tag and set it to "hidden". Of course, that doesn't actually hide it. So I also commented out the MLT_REGISTER_METADATA() call in the corresponding factory.c file. If you uncomment those registrations, they all work. I did the same thing for the loader producer. I added the composite transition. Not sure why I skipped that one before. Let me know what you think and if there is anything else I can do. ~Brian ------------------------------------------------------------------------------ Magic Quadrant for Content-Aware Data Loss Prevention Research study explores the data loss prevention market. Includes in-depth analysis on the changes within the DLP market, and the criteria used to evaluate the strengths and weaknesses of these DLP solutions. http://www.accelacomm.com/jaw/sfnl/114/51385063/ _______________________________________________ Mlt-devel mailing list Mlt-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/mlt-devel
