RT DETR L wireless table cell det Introduction The Table Cell Detection Module is a key component of the table recognition task, responsible for locating and marking each cell region in table images. The performance of this module directly affects the accuracy and efficiency of the entire table recognition process. The Table Cell Detection Module typically outputs bounding boxes for each cell region, which are then passed as input to the table recognition pipeline for further processing. Model Top1 Acc(%) GPU Inference Time (ms) [Regular Mode / High Performance Mode] CPU Inference Time (ms) [Regular Mode / High Performance Mode] Model Storage Size (M) RT DETR L wireless table cell det 82.7 35.00 / 10.45 495.51 / 495.51 124M Note : The accuracy of RT DETR L wireless table cell det comes from the results of joint testing with RT DETR L wired table cell det. Installation 1. PaddlePaddle Please refer to the following commands to install PaddlePaddle using pip: For details about PaddlePaddle installation, please refer to the PaddlePaddle official website. 2. PaddleOCR Install the latest version of the PaddleOCR inference package from PyPI: Model Usage You can quickly experience the func…
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