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FacialAttributesExtractor is a Python library for precise facial attribute extraction, offering comprehensive insights into various features using OpenCV and Deep Learning. Enhance your image processing and real-time video applications with accurate analysis of age, gender, hair length, and more.

License: MIT License

Python 98.97% Dockerfile 1.03%
keras-tensorflow opencv deeplearning face facenet facial-attributes transformer vit

facial-attribute-recognition-from-face-images's Introduction

Hey, I'm Sabari Nathan! πŸ‘‹

  • πŸ§‘β€πŸ’» Senior AI Engineer at Couger Inc

  • 🏯: From Chennai,India / Living in Tokyo,Japan

  • πŸ““ I like to write about technology on blog

  • πŸ’• In love with Python, Computer vison and Deep Learning

  • 🌱 Learning more about MLOps and ImageGen

  • 🀝 You can also find me on LinkedIn)

  • πŸ”­ I’m currently working on image trimap prediction

  • πŸ‘― I’m looking to collaborate on open source deep learing computer vision projects

  • πŸ’¬ Ask me about Computer Vision on Quora

  • πŸ“« How to reach me: [email protected]

facial-attribute-recognition-from-face-images's People

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facial-attribute-recognition-from-face-images's Issues

tensorflow,tf-addons,keras version

I do meet problem when load the pretrained weight in demo.py. Which version of tf-addons and keras you use to create this weight?

Thank you very much!

how to load faceNet to get inference from realtime_testing.py ?

Hi
how to load faceNet to get inference from realtime_testing.py ?
I used this way: I load the checkpoint inside the pretrained model that you have added on the net, butit gives me an error

model = load_model("pre-trained_weights/model_inception_facial_keypoints.h5",custom_objects= 
                                  {"Adamw":tfa.optimizers.AdamW},compile=False) # updated the loading function
                                  
faceNet = model.load_weights("pre-trained_weights/model_face_net_files-20231223T152222Z-001/model_face_net_files")

resultImg,faceBoxes = highlightFace(faceNet, frame)

the error is:

resultImg,faceBoxes=highlightFace(faceNet, frame)
  File "realtime_testing.py", line 19, in highlightFace
    net.setInput(blob)
AttributeError: 'Functional' object has no attribute 'setInput'

Please, I will be appreciate if you can help me @dsabarinathan

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