From 30717188b3d610a2d34ca3c4238169f3a1b5f8b6 Mon Sep 17 00:00:00 2001 From: tink2123 Date: Thu, 14 Mar 2019 17:36:02 +0800 Subject: [PATCH] add eval result --- fluid/PaddleCV/yolov3/README.md | 20 +++++--------------- fluid/PaddleCV/yolov3/README_cn.md | 21 +++++---------------- 2 files changed, 10 insertions(+), 31 deletions(-) diff --git a/fluid/PaddleCV/yolov3/README.md b/fluid/PaddleCV/yolov3/README.md index d8f1ab68..58480b32 100644 --- a/fluid/PaddleCV/yolov3/README.md +++ b/fluid/PaddleCV/yolov3/README.md @@ -117,21 +117,11 @@ Evaluation is to evaluate the performance of a trained model. This sample provid Evalutaion result is shown as below: -```text - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.377 - Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.598 - Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.408 - Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.244 - Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.408 - Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.489 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.308 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.481 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.504 - Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.351 - Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.534 - Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.632 - -``` +| mAP |IoU=0.50:0.95 | IoU=0.50 | IoU=0.75 | +| :------: | :------: | :------: | :------: | +| input size=608x608| 37.7 | 59.8 | 40.8 | +| input size=416x416 | 36.5 | 58.2 | 39.1 | +| input size=320x320 | 34.1 | 55.4 | 36.3 | ## Inference and Visualization diff --git a/fluid/PaddleCV/yolov3/README_cn.md b/fluid/PaddleCV/yolov3/README_cn.md index 6a1a2ddb..d29525c0 100644 --- a/fluid/PaddleCV/yolov3/README_cn.md +++ b/fluid/PaddleCV/yolov3/README_cn.md @@ -118,22 +118,11 @@ Train Loss 模型评估结果： -```text - Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.377 - Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.598 - Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.408 - Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.244 - Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.408 - Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.489 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.308 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.481 - Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.504 - Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.351 - Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.534 - Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.632 - -``` - +| mAP |IoU=0.50:0.95 | IoU=0.50 | IoU=0.75 | +| :------: | :------: | :------: | :------: | +| input size=608x608| 37.7 | 59.8 | 40.8 | +| input size=416x416 | 36.5 | 58.2 | 39.1 | +| input size=320x320 | 34.1 | 55.4 | 36.3 | ## 模型推断及可视化 -- GitLab