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:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

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Hi @natanielruiz thanks for sharing your work, while trying to adapt it for a project i stumbled upon a problem. In lines 160 to 161 of your train_hopenet.py file stand:...

code/test_on_video_dlib.py:146: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument. yaw_predicted = F.softmax(yaw) code/test_on_video_dlib.py:147: UserWarning: Implicit dimension choice for softmax has...

I'm trying to run this code I have no idea of how to replace the keyowrds in this command ' python code/test_on_video_dlib.py --snapshot PATH_OF_SNAPSHOT --face_model PATH_OF_DLIB_MODEL --video PATH_OF_VIDEO --output_string STRING_TO_APPEND_TO_OUTPUT...

When I use my dataset,how to know the label_yaw,pitch,roll

i was able to train your model on my own machine and get robust webcam estimations. i wonder what is the rationale behind disabling training (setting learning rate to 0)...

I got around 30 yaw loss, and around 15 pitch and roll loss on AFLW2000 with the provided hopenet. I re-implemented this with generally the same methods in tensorflow with...

Thank you for sharing your great work. When I look at the sample images, I see 3 lines (blue, green, red). Could you please let me know which one shows...

Hi author, I based on your HopeNet project to developed [optimize project](https://github.com/docongminh/ncnn-deep-head-pose) used [ncnn framework](https://github.com/Tencent/ncnn). I open this issue to show my project for our community when someone need for...