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Pixel-Level Face Image Quality Assessment for Explainable Face Recognition

Python 100.00%

explainable-ai explainable-ml quality machine-learning computer-vision face biometrics face-recognition quality-estimation quality-metrics

explainablefaceimagequality's Issues

Implementation on other face recognizers such as FaceNet?

Hi thanks for the paper and code, Is there a tutorial/code available for using other face recog models such as FaceNet? (as mentioned in the paper)

Error while running XFIQ

Hey, folks! I encountered the following problem while running the XFIQ.py

  File "XFIQ.py", line 109, in <module>
    run(image_path, model_path, grad_path, T)
  File "XFIQ.py", line 82, in run
    np.save(save_path, save)
  File "<__array_function__ internals>", line 200, in save
  File "/home/shynggys/openvino_2021/lib/python3.8/site-packages/numpy/lib/npyio.py", line 521, in save
    arr = np.asanyarray(arr)
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 2 dimensions. The detected shape was (2, 3) + inhomogeneous part

I got installed:

Python 3.8
opencv-python=4.6.0.66
Tensorflow=2.7.3
numpy=1.24.0
sklearn=1.2.0
matplotlib=3.6.2
tqdm=4.63.1

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