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I am performing human awareness detection and have trained my model using transfer learning with MobileNetV2. This model expects a tensor of dimension [Null,224,224,3].

I have applied face detection using BlazeFace which uses an input of [128,128,3] on the input video stream and cropped the detected faces in order to send the cropped faces to my custom model but I am not sure what to do as the cropped images are all of varying sizes and smaller than what my model expects.

Example of a cropped face tensor

Array [
  1,
  43,
  111,
  3,
]
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The issue was fixed by resizing the Tensor to fit into the model. I was reshaping them instead of resizing them.

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  • $\begingroup$ how did you resize the Tensor? $\endgroup$
    – Syed Ali
    Nov 20 '20 at 1:00
  • $\begingroup$ If you are using tensorflow then tf.image.resize() would be the way to do so. $\endgroup$
    – yudhiesh
    Nov 20 '20 at 2:13

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