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LOW LATENCY IMAGE PROCESSING USING BYPRODUCT DECOMPRESSED IMAGES

机译:使用副产品压缩图像进行低延迟图像处理

摘要

In one embodiment, a computing system may receive an uncompressed image from a camera. The computing system may generate a compressed image by performing a compression process on the uncompressed image, wherein a decompressed image may be generated as a byproduct during the compression process. The computing system may send the decompressed image to a machine-learning model that was trained using decompressed images. The computing system may generate, by the machine-learning model, an output based on the decompressed image. The computing system may provide operational instructions to a vehicle based on the output.
机译:在一个实施例中,一种计算系统可以从照相机接收未压缩的图像。计算系统可以通过对未压缩图像执行压缩处理来生成压缩图像,其中可以在压缩处理期间将副图像生成为副图像。计算系统可以将解压缩的图像发送到使用解压缩的图像训练的机器学习模型。计算系统可以通过机器学习模型基于解压缩的图像来生成输出。计算系统可以基于输出向车辆提供操作指令。

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