From 8d70ce15f0645cff2801aecfb39854fc92bc0d3d Mon Sep 17 00:00:00 2001 From: shyn Date: Sat, 8 May 2021 16:13:37 +0800 Subject: [PATCH] fix typos (#2898) --- configs/ppyolo/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/configs/ppyolo/README.md b/configs/ppyolo/README.md index dffac1f96..314322901 100644 --- a/configs/ppyolo/README.md +++ b/configs/ppyolo/README.md @@ -11,9 +11,9 @@ English | [简体中文](README_cn.md) ## Introduction -[PP-YOLO](https://arxiv.org/abs/2007.12099) is a optimized model based on YOLOv3 in PaddleDetection，whose performance(mAP on COCO) and inference spped are better than [YOLOv4](https://arxiv.org/abs/2004.10934)，PaddlePaddle 2.0.0rc1(available on pip now) or [Daily Version](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#whl-release) is required to run this PP-YOLO。 +[PP-YOLO](https://arxiv.org/abs/2007.12099) is a optimized model based on YOLOv3 in PaddleDetection，whose performance(mAP on COCO) and inference speed are better than [YOLOv4](https://arxiv.org/abs/2004.10934)，PaddlePaddle 2.0.0rc1(available on pip now) or [Daily Version](https://www.paddlepaddle.org.cn/documentation/docs/zh/develop/install/Tables.html#whl-release) is required to run this PP-YOLO。 -PP-YOLO reached mmAP(IoU=0.5:0.95) as 45.9% on COCO test-dev2017 dataset, and inference speed of FP32 on single V100 is 72.9 FPS, inference speed of FP16 with TensorRT on single V100 is 155.6 FPS. +PP-YOLO reached mAP(IoU=0.5:0.95) as 45.9% on COCO test-dev2017 dataset, and inference speed of FP32 on single V100 is 72.9 FPS, inference speed of FP16 with TensorRT on single V100 is 155.6 FPS.
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