ae754071b2a696949a31b1003150409bce388990,dvalib/indexer.py,FacenetIndexer,apply,#FacenetIndexer#Any#,259

Before Change

    def apply(self,image_path):
        self.load()
        images = facenet.load_data([image_path,], do_random_crop=False, do_random_flip=False, image_size=self.image_size,do_prewhiten=True)
        feed_dict = {self.images_placeholder: images, self.phase_train_placeholder: False}
        return self.session.run(self.embeddings, feed_dict=feed_dict)

After Change

        img.save("/Users/aub3/debug.jpg")
        img = np.array(img)
        img = facenet.prewhiten(img)
        images = np.zeros((1, self.image_size, self.image_size, 3))
        images[0, :, :, :] = img
        feed_dict = {self.images_placeholder: images, self.phase_train_placeholder: False}
        return self.session.run(self.embeddings, feed_dict=feed_dict)

Instances