From d8e0cde4ab63438760203c4e3b30ed52f654660d Mon Sep 17 00:00:00 2001 From: wangguanzhong Date: Wed, 29 Jun 2022 10:52:53 +0800 Subject: [PATCH] fix det doc (#6297) --- README_cn.md | 1 + deploy/TENSOR_RT.md | 2 +- docs/images/fps_map.png | Bin 438895 -> 361405 bytes 3 files changed, 2 insertions(+), 1 deletion(-) diff --git a/README_cn.md b/README_cn.md index 42b71b8e6..9c56254ed 100644 --- a/README_cn.md +++ b/README_cn.md @@ -255,6 +255,7 @@ - `PP-YOLO`在COCO数据集精度45.9%,Tesla V100预测速度72.9FPS,精度速度均优于[YOLOv4](https://arxiv.org/abs/2004.10934) - `PP-YOLO v2`是对`PP-YOLO`模型的进一步优化,在COCO数据集精度49.5%,Tesla V100预测速度68.9FPS - `PP-YOLOE`是对`PP-YOLO v2`模型的进一步优化,在COCO数据集精度51.4%,Tesla V100预测速度78.1FPS +- [`YOLOX`](configs/yolox)和[`YOLOv5`](https://github.com/nemonameless/PaddleDetection_YOLOv5/tree/main/configs/yolov5)均为基于PaddleDetection复现算法 - 图中模型均可在[模型库](#模型库)中获取 diff --git a/deploy/TENSOR_RT.md b/deploy/TENSOR_RT.md index 5a5a0b3d6..10116f285 100644 --- a/deploy/TENSOR_RT.md +++ b/deploy/TENSOR_RT.md @@ -1,5 +1,5 @@ # TensorRT预测部署教程 -TensorRT是NVIDIA提出的用于统一模型部署的加速库,可以应用于V100、JETSON Xavier等硬件,它可以极大提高预测速度。Paddle TensorRT教程请参考文档[使用Paddle-TensorRT库预测](https://paddle-inference.readthedocs.io/en/latest/optimize/paddle_trt.html#) +TensorRT是NVIDIA提出的用于统一模型部署的加速库,可以应用于V100、JETSON Xavier等硬件,它可以极大提高预测速度。Paddle TensorRT教程请参考文档[使用Paddle-TensorRT库预测](https://www.paddlepaddle.org.cn/inference/optimize/paddle_trt.html) ## 1. 安装PaddleInference预测库 - Python安装包,请从[这里](https://paddleinference.paddlepaddle.org.cn/user_guides/download_lib.html#python) 下载带有tensorrt的安装包进行安装 diff --git a/docs/images/fps_map.png b/docs/images/fps_map.png index 44f3e846a877fd08fcd905027a1eced14ccb5539..5c22d725b01d374de8f394096f140b3d33cebfa7 100644 GIT binary patch literal 361405 zcmeFZcT|?w);&s!G4?Mi3Id|BAYDK}x?Pbby@QA}>F@&5jZsuYP(XSSrB^A^i;7aD z_YNw(i!|wXZW43O?>qO8d;h$59LLCrBECG&-fOQl=Uj8`2UnyoZri+XGZhupHt|d6 zy4RtB7{I$sO$A)72NsajJ}aU3H5{ctl%%$Dj0Dk|}F zrxk97jCI-F+^x8@HYKyuySDzoo$k|To^~gkFp^XFS@t!@`O~r{$23n*y>X}h?fe_* zC%->C5%;?Y^?jsn79|^}47Ty`%;(tI&W-(CQ&3uQ zeCt{K{Qv!H>~m<>rvLp#{8?br27&+l@~xkamEm#!_b>WWr?>y_uTfEbq}putpI@cg zc;)d=|M}&Uw{Fw_=T~3rvy#_tc+FfA>uw$MHQ zEbQYr;kHonCyR9Z=>en8Y|HjEJqg>GAE{opE=&*d-e^4LJYB_~>$G5H8}ol4rjw5d zR(i~O{^CVeLBaMo-RZva7tfv@*sx&(v+L^e9)n-hy?uOUD|u>$d}Kt+Clsit%wAgd zUg&aNTM=|wzDa(@zx~Sg`0L}Og88I$OFeA_JX2CqEq#8kBW+)_V`t*_b0OgQ;JsA$Qss)T6{e9 zlvSCdV*1V6gGY~=948C>BScP~R4Kl}Z{f}n5tNQa9iacJg}pj-U-=Z?Pd@z5^j{!2_UVU6BLBqXz>f=-BY7R<=) zG5DG4WxcYtvtGMa>b3JpYOgLIk?^bh?D20KK}FTVWxSh;>h*a>*X7jx&NFpm(uYdb z@@$ig9J_LDm`i@RrSWmHXpPTwt!HiZBG>-`;jP%n)4euj!v4AGv^pI=a)en>5dV0* zerC8~_VrIYj>&{o?%fk2U>z;GIP`+eVM9)Z*xIsgdw04)4O{ikR99bp`*w4@EuHCX zUQtnzpxs2sHrgM`E@NxC3VJw{lQnE(etBKoy14W&-2dhJ`esG;_V&K`{k(gu!|aH| zOx;CZgKByPLCU4BJiD5iY-KI`^H`6{=WNzq4KXsonaW9OybpPPpi*JSVW4oE_J4S4 zt~y4j+&{l=a<8xT*p+BW+LgHubBF$?$|e)L7#UNT<)g3bDCHF2-LhA*Q+BZ@4vI0$Lg|#vRq~2FJ@Uo0udbpq{>`?Kg4Lxo(Fi<=64}Ct~qWPMJMr z%G-tClo?(2Jr*JAyl6O385rHslB}6vJKnBmsT9VE&8VxZqiyHZE;Pw?y?#CN%-OT% zv{^W}UuS1+1jMLr8RJ`@MzC{p*Hd~b{5gXs!nF|Gm;Km=t<3)Y0dF;}lRAqtOLOC< zd-_^=-kjtK<}b!)F541BUGxM*D

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