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We develop an all-in-one computer vision toolbox named EasyCV to facilitatethe use of various SOTA computer vision methods. Recently, we add YOLOX-PAI, animproved version of YOLOX, into EasyCV. We conduct ablation studies toinvestigate the influence of some detection methods on YOLOX. We also providean easy use for PAI-Blade which is used to accelerate the inference processbased on BladeDISC and TensorRT. Finally, we receive 42.8 mAP on COCO datesetwithin 1.0 ms on a single NVIDIA V100 GPU, which is a bit faster than YOLOv6. Asimple but efficient predictor api is also designed in EasyCV to conductend2end object detection. Codes and models are now available at:https://github.com/alibaba/EasyCV.

YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6