三星正在使用 TensorFlow Lite 模型通过 960x540 图像追踪你
Samsung running a TensorFlow lite model on 960x540 image to track you

原始链接: https://twitter.com/mike64_t/status/2114150399406202896

好吧,我刚检查了这个,它实际上每几秒就运行一个该死的 TensorFlow Lite 模型,对 960×540 图像做 INT8 量化,试图猜出你在玩什么游戏。它实际上叫 "alex.tflite",实际上就是 AlexNet,而且似乎遵循 torchvision.models.alexnet。据我所知,它会做一些针对数据库的奇怪最近邻特征比较,而且实际上 99% 的时间都不工作,不过你倒是喜欢每过一秒 CPU 就被这东西浪费掉。它似乎还只是把结果扔进虚空,因为同意门控在后面才出现。总之,这是 tf 模型图和一些转储的捕获。

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原文

Ok, I just checked this, and its literally running a freaking TensorFlow Lite model on 960×540 images with INT8 quantization every couple of seconds in an attempt to figure out what game you are playing. It's literally called "alex.tflite" and its literally AlexNet and seems to follow torchvision.models.alexnet. As far as I can tell this does some strange nearest neighbor feature comparisons against a DB and literally doesn't work 99% of the time, you love to see your CPU get wasted every other second by this thing though. It also just seems to dump its results into the void because the consent gate comes later. Anyways, here's the tf model graph and some dumped captures.

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