SlackwareThis Forum is for the discussion of Slackware Linux.
Notices
Welcome to LinuxQuestions.org, a friendly and active Linux Community.
You are currently viewing LQ as a guest. By joining our community you will have the ability to post topics, receive our newsletter, use the advanced search, subscribe to threads and access many other special features. Registration is quick, simple and absolutely free. Join our community today!
Note that registered members see fewer ads, and ContentLink is completely disabled once you log in.
If you have any problems with the registration process or your account login, please contact us. If you need to reset your password, click here.
Having a problem logging in? Please visit this page to clear all LQ-related cookies.
Get a virtual cloud desktop with the Linux distro that you want in less than five minutes with Shells! With over 10 pre-installed distros to choose from, the worry-free installation life is here! Whether you are a digital nomad or just looking for flexibility, Shells can put your Linux machine on the device that you want to use.
Exclusive for LQ members, get up to 45% off per month. Click here for more info.
Perhaps you can extend a helping hand to an old fool who is having difficulties? Using the alldeps.SlackBuild ends with an error at qjson. Have tried to find out the answer by myself but have no idea how to proceed.
Building the "deps" is a bit tricky, because some does not exists anymore, like is your "qjson" and others just does not build anymore in the latest -current, then they should be updated to new versions and/or patched - like is the "opencv" or "qtav" ...
Long story short, for the particular case of "qjson" , it does not exists anymore and you should not build it, so you should remove it from the list ALLDEPS within alldeps.SlackBuild , but further you will hit probably on OpenCV at least.
More details I can give you in evening (according with Central Europe Time) because now I am not at home.
Last edited by LuckyCyborg; 11-03-2020 at 07:49 AM.
This is a P2P sharing site, using WebTorrent, which is an torrent engine made on top of WebRTC, for transferring files from users to users.
Visiting this link with Firefox from latest -current or Chromium, you will download via (web)torrent a tarball named latest-plasma5-deps.tar, containing the complete sources of "deps" in the updated version which I use. Its size is of 203MB.
Please keep open the page after downloading the file, to seed it as with any other torrent - my own seeding of this file will be available just for several hours.
Sorry, BUT I do not have sites like the much bigger names here, for a more convenient sharing.
And I hope this tarball will be useful.
PS. Of course, it is supposed to you to analyze first those modified slackbuilds, assume all the risks of using them and to build yourself the binary packages.
Last edited by LuckyCyborg; 11-03-2020 at 11:40 AM.
This is a P2P sharing site, using WebTorrent, which is an torrent engine made on top of WebRTC, for transferring files from users to users.
Visiting this link, you will download via (web)torrent a tarball named latest-plasma5-deps.tar, containing the complete sources of "deps" in the updated version which I use. Its size is of 203MB.
Please keep open the page after downloading the file, to seed it as with any other torrent - my seeding of file will be available just for several hours.
Sorry, BUT I do not have sites like the much bigger names here, for a more convenient sharing.
And I hope this tarball will be useful.
PS. Of course, it is supposed to you to analyze first those modified slackbuilds, assume all the risks of using them and to build yourself the binary packages.
Thank you.
I am in town, an hour by highway from my home. Will have to follow the link this evening
In one of these KDE threads, there was a discussion of digikam and the fact that the face recognition neural network database is so large. Well, that got me interested in trying that feature. I tagged a bunch of faces, ran it, and it successfully created a bunch of face tags. I then ran it with the "Recognize faces" option, and it came up with some small number of recognized faces, all of which were dead wrong. Correcting them and running it again resulted in more incorrectly "recognized" faces, with still the great majority being unknown. It seems to be quite good at detecting faces, but terrible at identifying them. The accuracy is worse than random guessing. Has anyone had better luck with it? I've read a lot about how well it works, but it's been useless for me.
Edit: I guess it's too harsh to say it's useless, since it does find faces pretty well. I'm certain the face recognition is supposed to work better though.
Last edited by montagdude; 11-05-2020 at 08:01 PM.
the thing with facial recognition is that you need to give them learning dataset first until they are smart enough to detect new faces
The release announcement for digikam 7 claims it works well with only 1-6 faces tagged. I've given it way more than that. Maybe the release announcement is being too optimistic.
To go into more detail, what I'm seeing is that if I have some people in the database with only a few images of them tagged, the recognition algorithm misclassifies a bunch of images as those people. Meanwhile, it recognizes no images for the people that have many more tags. It just seems broken to me. Either that or I'm doing something wrong.
Last edited by montagdude; 11-05-2020 at 08:22 PM.
The release announcement for digikam 7 claims it works well with only 1-6 faces tagged. I've given it way more than that. Maybe the release announcement is being too optimistic.
To go into more detail, what I'm seeing is that if I have some people in the database with only a few images of them tagged, the recognition algorithm misclassifies a bunch of images as those people. Meanwhile, it recognizes no images for the people that have many more tags. It just seems broken to me. Either that or I'm doing something wrong.
LinuxQuestions.org is looking for people interested in writing
Editorials, Articles, Reviews, and more. If you'd like to contribute
content, let us know.