or with values between 0 - 255 and shape (batch_size, channels, height, width).

        Returns:
            ImageData: Image data object with Detection tensors and detected Face objects.
        &#34;&#34;&#34;
        data = self.preprocessor.run(data)
        logits = self.inference(data.tensor)
        data = self.postprocessor.run(data, logits)

        return data</code></pre>
</details>
<div class="desc"><p>FaceDetector is a wrapper around a neural network model that is trained to detect faces.</p>
