From e74203cfa70c8fa5d1bc7bde68345f0bc8d7d16e Mon Sep 17 00:00:00 2001 From: Kaipeng Deng Date: Fri, 6 Nov 2020 17:48:19 +0800 Subject: [PATCH] update map_fps (#1670) --- README_cn.md | 2 +- README_en.md | 4 ++-- docs/images/map_fps.png | Bin 393363 -> 410913 bytes 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README_cn.md b/README_cn.md index 7d307f7f6..347d68f05 100644 --- a/README_cn.md +++ b/README_cn.md @@ -17,7 +17,7 @@ PaddleDetection模块化地实现了多种主流目标检测算法,提供了 ### 产品动态 - 2020.09.21-27: 【目标检测7日打卡课】手把手教你从入门到进阶,深入了解目标检测算法的前世今生。立即加入课程QQ交流群(1136406895)一起学习吧 :) -- 2020.07.24: 发布**产业最实用**目标检测模型 [PP-YOLO](https://arxiv.org/abs/2007.12099) ,深入考虑产业应用对精度速度的双重面诉求,COCO数据集精度45.2%,Tesla V100预测速度72.9 FPS,详细信息见[文档](configs/ppyolo/README_cn.md)。 +- 2020.07.24: 发布**产业最实用**目标检测模型 [PP-YOLO](https://arxiv.org/abs/2007.12099) ,深入考虑产业应用对精度速度的双重面诉求,COCO数据集精度45.2%(最新45.9%),Tesla V100预测速度72.9 FPS,详细信息见[文档](configs/ppyolo/README_cn.md)。 - 2020.06.11: 发布676类大规模服务器端实用目标检测模型,适用于绝大部分使用场景,可以直接用来预测,也可以用于微调其他任务。 ### 特性 diff --git a/README_en.md b/README_en.md index 7f7af3952..7865a4fc0 100644 --- a/README_en.md +++ b/README_en.md @@ -13,8 +13,8 @@ image object detection, and automatic inspection with its practical features suc and multi-platform deployment. [PP-YOLO](https://arxiv.org/abs/2007.12099), which is faster and has higer performance than YOLOv4, -has been released, it reached mAP(0.5:0.95) as 45.2% on COCO test2019 dataset and 72.9 FPS on single -Tesla V100. Please refer to [PP-YOLO](configs/ppyolo/README.md) for details. +has been released, it reached mAP(0.5:0.95) as 45.2%(newest 45.9%) on COCO test2019 dataset and +72.9 FPS on single Test V100. 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