I cant get this project up and running, would it be possible to get some more instructions ?

What python version are you using?

Any other dependencies ?

What CPU and OS are you running ?

using CUDA ?

Hi, i have converted this model to uff and onnx, but in both cases I am not able to serialize to a trt engine due to the swish layer.

Error message: ERROR: INVALID_ARGUMENT: getPluginCreator could not find plugin swish_f32 version 1 ERROR: builtin_op_importers.cpp:3773 In function importFallbackPluginImporter: [8] Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?" ERROR: Network must have at least one output ERROR: Network validation failed.

kindly guide solutions or alternatives if possible, thanks p.s: the model is trained really well! i tested on faces with masks as well, very promising :)

so i was trying to reproduce whenet-v using the same network structure, preprocessor, etc. i could only get around 30 yaw loss and around 10 pitch and roll loss for AFLW2000, even after filtering out angles greater than 99 degrees. i saw in your paper that whenet-v was trained on 300w and got an MAE on AFLW2000 below 5. i used hopenet's preprocessor for 300W and a batch size of 16, 1e-5 learning rate, same network structure, 25 episodes to train on 300W, etc. what should i check / change to reproduce the small AFLW error?

also in your opinion can be model be further compressed to say like a few hundred kilobytes (assuming more training data, etc.) with a small loss of accuracy in practice? thanks.

Hi I am runing the demo_video.py, and get the following error:

Traceback (most recent call last):
  File "demo_video.py", line 81, in <module>
    main(args)
  File "demo_video.py", line 54, in main
    frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
cv2.error: OpenCV(3.4.8) /io/opencv/modules/imgproc/src/color.cpp:182: error: (-215:Assertion failed) !_src.empty() in function 'cvtColor'

Can you help me ? Thanks a lot!

Hi, Thank you for the great work and amazing codebase. I have a question regarding dataset preparation. 1. Line 215 in prepare_images.py, the config folder is missing in the MTC dataset. Although the downloaded dataset has the same size(270GB) as mentioned in documentation. There is no mention of this config folder in official website also. Any help is appreciated.

Hi,

I'm currently testing the head pose estimation for profile-view faces, however, I am attaining unusual results. For test purposes, I'm using the 3 following profile view images:

For these 3 images, I get the following results: Yaw: [70.59546] Pitch: [34.594513] Roll: [33.04599] Yaw: [81.640686] Pitch: [-8.637505] Roll: [-13.95977] Yaw: [71.53331] Pitch: [10.675278] Roll: [13.468033]

I am mainly focused on the yaw angles - It is clearly evident that these images contain strictly profile view images, however, neither of the detected yaw angles are close enough to 90 degrees.

If anyone has any ideas as to what might be causing this issue, it would be highly appreciated.

Thanks!

Hi I am using a Docker container to run this model, but it is throwing me Aborted (core dumped) error.

qt.qpa.xcb: could not connect to display :1 qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "/usr/local/lib/python3.5/dist-packages/cv2/qt/plugins" even though it was found. This application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem

this is how I am using the command, python3 demo_video.py --video off.mp4 --display 0 --output output.mp4

Seems like problem is with --display argument.

It take so much time on this step.