I'm Arnaldo Gualberto, a Machine Learning and Deep Learning Engineer.
- ๐ Machine Learning Analyst at Advolve.
Google Developer Expert in Machine Learning
PhD in Deep Learning by UFCG
Teacher at Udemy.
TensorFlow Developer Certificated
Study and implementation about deep learning models, architectures, applications and frameworks
I'm Arnaldo Gualberto, a Machine Learning and Deep Learning Engineer.
Hi, I couldn't find the models folder. Could you please share instructions to download the model?
โโโ data (unzip dataset here)
โโโ images
โโโ models
โโโ Keras.ipynb
can you please share the dataset i.e. correct link of dataset ?
Dear author,
Thank you so much for your work. I wanted to use face-alignment module to detect the keypoints and I was wondering how to find yaw, roll, and pitch for the training dataset?
Thanks
Hi Arnaldo
For both the rar files on the google drive, error is coming while extracting.
Thanks
Rahul
Hi, Thanks for the inputs you shared on #6. The result looks good. Training was quite easy!
I'm planning to use the same method, but only with 5 landmark points (left and right eye center, nose tip, right and left mouth corners). The reason is that, MTCNN face detector outputs 5 landmark points and I'm planning to re-use the same and there by avoiding the dlib shape predictor.
Could you share your inputs? I agree that the number of features with 5 points would be very less when compared to 68 points. However, I'd like to get your inputs.
Thanks,
San
Hi Arnald, the data path you have provided returns a samples.rar which has sample_train.csv and sample_test.csv.
Could you please tell me how do I get the actual samples.pkl you used in your Keras.ipynb notebook?
Hi, check the link
https://paperswithcode.com/task/head-pose-estimation
contains papers and corresponding codes for head-pose-estimation from single image
i am so grateful for your work in this model, but can i get access to a larger dataset? or can you explain how did you create the toy database, as it's not available to get more face images and convert them to facial encodings etc..
thanks in advance
Hi,
Can you tell me how can i increase it's Fps as it is only 0.87 right now which is not good for the real time experience.
Hi,
I trained the model in Keras but want to use it in C++ for evaluation, do you have a C++ evaluation file of this model??
It would be very helpful for me if you can share any C++ code regarding this model and have files in which the C++ version of this model can be evaluated. I am new to C++ and have issues in making functions like compute_features() and detect_face_points() in C++
Any help would be appreciated!!
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