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foreverYoungGitHub avatar foreverYoungGitHub commented on September 6, 2024

I think yes. Since this label means that whether the face can be classified as a face, while the value of this label can be considered as the confidence of the face.

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yanzi6969 avatar yanzi6969 commented on September 6, 2024

能共享下
label_path = '../dataset/label.txt'
landmark_path = '../dataset/landmark.txt'
regression_box_path = '../dataset/regression_box.txt'
crop_image_path = '../dataset/crop_image.txt'
这几个txt吗?实在没搞懂具体格式该怎样,谢谢

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Cbanyungong avatar Cbanyungong commented on September 6, 2024

Sorry to bother you.Could I ask you a question?in the regression label,you have give an example 'face regression: [0.1,0.1,0.1,0.1]',the numbers denote the position of the face in an image.I wonder if the a face occupies the whole image ,can the position be written like this:[0,0,1,1].If all of my images were labeled like this,How will this affect my experiments?

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yanzi6969 avatar yanzi6969 commented on September 6, 2024

@foreverYoungGitHub face regression: [0.1,0.1,0.1,0.1]. left_x,left_y,width,height or left_x, left_y, ritht_x, ritht_y?

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