Open cass3451 opened 3 months ago
I experience the same problem with Ubuntu 22.04 on an iMac 2012
Same problem
Linux ThinkPad-X1-Yoga-4th 6.5.0-35-generic #35~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue May 7 09:00:52 UTC 2 x86_64 x86_64 x86_64 GNU/Linux
I got the same issue in Ubuntu 22.04.
Having the same issue with Ubuntu 22.04 LTS: _
Adding face model for the user peter Enter a label for this new model [Initial model] (max 24 characters): me
Please look straight into the camera Traceback (most recent call last): File "/usr/local/bin/howdy", line 95, in
import cli.add File "/usr/lib/security/howdy/cli/add.py", line 157, in face_locations = face_detector(gsframe, 1) RuntimeError: Unsupported image type, must be 8bit gray or RGB image.
Using the Logi Brio Ultra Webcam, CUDA Tools 12.5, the camera is working fine for 'sudo howdy snapshot' - saves the image and it is a clear image. Both 'add' and 'test' generate the error message. Hope we get an answer soon!
Same issue for me on Ubuntu 22.04.4
Same issue!
I am having the same issue in Ubuntu 22.04
Yes, me too. I've tried alot of linux distro but all seems to have this bug... But in the past i've had successfully installed howdy on this machine (dell latitude 5290 2in1) with ubuntu and it was working perfectly. Hope the developer fix this problem!
Same here, with Logitech BRIO 4k (Linux Mint 21.3)
Same issue on Linux Mint 21.3
Same error here, Ubuntu 22.04 LTS. I've tried also cloning the git repo and building from source, but I've got the exact same error (maybe related to dlib?)
Same here, Ubuntu 22.04 LTS on 3th Gen Lenovo T14 notebook
Same issue on Arch, and it only happened after a recent system update.
Looks like an issue with numpy being upgraded to v2: https://stackoverflow.com/a/78638053
Workaround which worked for me to add a model was to downgrade it to 1.26.4 again: sudo pip install --upgrade numpy==1.26.4
. However, model still not recognized after that (timeout) so not sure if that's a complete workaround.
thank you @simonporter007 That fixed it for me
Looks like an issue with numpy being upgraded to v2: https://stackoverflow.com/a/78638053
Workaround which worked for me to add a model was to downgrade it to 1.26.4 again:
sudo pip install --upgrade numpy==1.26.4
. However, model still not recognized after that (timeout) so not sure if that's a complete workaround.
That workaround fixed it for me! At least for now. Tks, @simonporter007
also for me, downgrading fixed
Thanks a lot, that worked! Hopefully the devs fix this to work with numpy 2.0 soon!
Worked for me as well, thank you so much for figuring that out!
@cass3451 I don't think this should be closed since there is no current solution for numpy 2
Downgrading numpy to 1.26.4 also worked for me. Thank you for posting!
Even downgrading doesnt work for me!
@cass3451 A workaround is not the same as fixing an issue. Please reopen this.
dlib added support to numpy 2, so we're waiting on a new release of dlib https://github.com/davisking/dlib/pull/2970
understood, thank you!
For anyone who can't wait, compile from the git repo itself to get latest changes.
Currently using latest python-dlib-git on aur to use the latest commit version.
Looks like an issue with numpy being upgraded to v2: https://stackoverflow.com/a/78638053
Workaround which worked for me to add a model was to downgrade it to 1.26.4 again:
sudo pip install --upgrade numpy==1.26.4
. However, model still not recognized after that (timeout) so not sure if that's a complete workaround.
its worked for me in ubuntu 24.04 and linuxmint 21.3 very well. slimbook face recognition also worked after this workaround
Thanks, the workaround works. But there are other problems.
Linux Mint 21.3 on HP ProBook Still a great project. I'm out for now, sorry
Downgrading numpy to 1.26.4 also worked for me on Linux Mint 21.3
Looks like an issue with numpy being upgraded to v2: https://stackoverflow.com/a/78638053
Workaround which worked for me to add a model was to downgrade it to 1.26.4 again:
sudo pip install --upgrade numpy==1.26.4
. However, model still not recognized after that (timeout) so not sure if that's a complete workaround.
It works for me in Zorin 17.1 Thank you.
Downgrading numpy to 1.26.4 worked for me on Pop!_OS 22.04 LTS.
Downgrading numpy to 1.26.4 worked for me on Pop!_OS 22.04 LTS.
Same here on the same OS! Thank you for the fix
Downgrading numpy to 1.26.4 worked for me on Pop!_OS 22.04 LTS.
Did you break another program that required a more recent version, or is there no risk?
I don't want to break something while downgrading numpy. Does someone succeed to run howdy in a python virtual environment ?
For anyone who can't wait, compile from the git repo itself to get latest changes.
Currently using latest python-dlib-git on aur to use the latest commit version.
This worked
A version of dlib has been released that supports numpy 2, users on rolling-release distros like Arch should be able to update, unsure about Debian, Ubuntu and their derivatives.
Running Howdy 2.6.1, on elementary OS 7.1 (based on Ubuntu 22.04.3), IR camera is built-in on XPS 15 9500 (ID 0bda:5510 Realtek Semiconductor Corp. Integrated_Webcam_HD).
Howdy worked very well on this exact setup less than a week ago, which is part of the reason I'm so stumped here. The error I keep getting is as follows:
The exact same message when testing or adding a new face. Running the snapshot test, the jpg that I get is clearly taken in IR, and is in 8bit greyscale as it should be. Snapshot test is attached if that helps. The device path is configured properly and the IR emitters light up when I test or add a new face, it just is giving a weird file to the program for some reason.
I've uninstalled and reinstalled howdy probably 10 times now, tried every camera device path I have, changed the
/lib/security/howdy/compare.py
file as this solution suggested, all of them give me the exact same error every time.Like I said, this version of howdy ran beautifully out of the box on this exact OS, with this exact camera, I can't think for the life of me what I might be doing different this time around.
Any help or suggestions would be appreciated! I really liked this project when I got it running last time, I wouldn't be trying this hard otherwise :)