In this post, we delve deeper into the inference optimization process to improve the performance and efficiency of our machine learning models during the inference stage. We discuss the techniques employed, such as inference computation graph simplification, quantization, and lowering precision. We also showcase the benchmarking results of our scene text detection and recognition models��
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