INNER CODE UNIT · Python

aspect_ratio

minivision-ai/Silent-Face-Anti-Spoofing · src/anti_spoof_predict.py:37

        aspect_ratio = width / height
        if img.shape[1] * img.shape[0] >= 192 * 192:
            img = cv2.resize(img,
                             (int(192 * math.sqrt(aspect_ratio)),
                              int(192 / math.sqrt(aspect_ratio))), interpolation=cv2.INTER_LINEAR)

        blob = cv2.dnn.blobFromImage(img, 1, mean=(104, 117, 123))
        self.detector.setInput(blob, 'data')
        out = self.detector.forward('detection_out').squeeze()
        max_conf_index = np.argmax(out[:, 2])
        left, top, right, bottom = out[max_conf_index, 3]*width, out[max_conf_index, 4]*height, \
                                   out[max_conf_index, 5]*width, out[max_conf_index, 6]*height
        bbox = [int(left), int(top), int(right-left+1), int(bottom-top+1)]
        return bbox


class AntiSpoofPredict(Detection):
    def __init__(self, device_id):

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