From b0b8c50a553273b5106b82fdf552ba7bd808483d Mon Sep 17 00:00:00 2001 From: cuicheng01 Date: Mon, 27 Jun 2022 07:05:26 +0000 Subject: [PATCH] fix MobileViT metrics --- docs/en/algorithm_introduction/ImageNet_models_en.md | 4 ++-- docs/en/models/MobileViT_en.md | 4 ++-- docs/zh_CN/algorithm_introduction/ImageNet_models.md | 4 ++-- docs/zh_CN/models/MobileViT.md | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/en/algorithm_introduction/ImageNet_models_en.md b/docs/en/algorithm_introduction/ImageNet_models_en.md index b7806126..5a8ba0ac 100644 --- a/docs/en/algorithm_introduction/ImageNet_models_en.md +++ b/docs/en/algorithm_introduction/ImageNet_models_en.md @@ -541,9 +541,9 @@ The accuracy and speed indicators of MobileViT series models are shown in the fo | Model | Top-1 Acc | Top-5 Acc | time(ms)
bs=1 | time(ms)
bs=4 | time(ms)
bs=8 | FLOPs(M) | Params(M) | Pretrained Model Download Address | Inference Model Download Address | | ---------- | --------- | --------- | ---------------- | ---------------- | -------- | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | -| MobileViT_XXS | 0.6867 | 0.8878 | - | - | - | 1849.35 | 5.59 | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) | +| MobileViT_XXS | 0.6867 | 0.8878 | - | - | - | 337.24 | 1.28 | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) | | MobileViT_XS | 0.7454 | 0.9227 | - | - | - | 930.75 | 2.33 | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XS_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XS_infer.tar) | -| MobileViT_S | 0.7814 | 0.9413 | - | - | - | 337.24 | 1.28 | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) | +| MobileViT_S | 0.7814 | 0.9413 | - | - | - | 1849.35 | 5.59 | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [Download link](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) | diff --git a/docs/en/models/MobileViT_en.md b/docs/en/models/MobileViT_en.md index 96b5e826..2aebdebf 100644 --- a/docs/en/models/MobileViT_en.md +++ b/docs/en/models/MobileViT_en.md @@ -18,6 +18,6 @@ MobileViT is a lightweight visual Transformer network that can be used as a gene | Models | Top1 | Top5 | Reference
top1 | Reference
top5 | FLOPs
(M) | Params
(M) | |:--:|:--:|:--:|:--:|:--:|:--:|:--:| -| MobileViT_XXS | 0.6867 | 0.8878 | 0.690 | - | 1849.35 | 5.59 | +| MobileViT_XXS | 0.6867 | 0.8878 | 0.690 | - | 337.24 | 1.28 | | MobileViT_XS | 0.7454 | 0.9227 | 0.747 | - | 930.75 | 2.33 | -| MobileViT_S | 0.7814 | 0.9413 | 0.783 | - | 337.24 | 1.28 | +| MobileViT_S | 0.7814 | 0.9413 | 0.783 | - | 1849.35 | 5.59 | diff --git a/docs/zh_CN/algorithm_introduction/ImageNet_models.md b/docs/zh_CN/algorithm_introduction/ImageNet_models.md index ad32788a..73ac0e85 100644 --- a/docs/zh_CN/algorithm_introduction/ImageNet_models.md +++ b/docs/zh_CN/algorithm_introduction/ImageNet_models.md @@ -568,9 +568,9 @@ ViT(Vision Transformer) 与 DeiT（Data-efficient Image Transformers）系列模 | 模型 | Top-1 Acc | Top-5 Acc | time(ms)
bs=1 | time(ms)
bs=4 | time(ms)
bs=8 | FLOPs(M) | Params(M) | 预训练模型下载地址 | inference模型下载地址 | | ---------- | --------- | --------- | ---------------- | ---------------- | -------- | --------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | -| MobileViT_XXS | 0.6867 | 0.8878 | - | - | - | 1849.35 | 5.59 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) | +| MobileViT_XXS | 0.6867 | 0.8878 | - | - | - | 337.24 | 1.28 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XXS_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XXS_infer.tar) | | MobileViT_XS | 0.7454 | 0.9227 | - | - | - | 930.75 | 2.33 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_XS_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_XS_infer.tar) | -| MobileViT_S | 0.7814 | 0.9413 | - | - | - | 337.24 | 1.28 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) | +| MobileViT_S | 0.7814 | 0.9413 | - | - | - | 1849.35 | 5.59 | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/MobileViT_S_pretrained.pdparams) | [下载链接](https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/MobileViT_S_infer.tar) | diff --git a/docs/zh_CN/models/MobileViT.md b/docs/zh_CN/models/MobileViT.md index 2980fb38..8d225c58 100644 --- a/docs/zh_CN/models/MobileViT.md +++ b/docs/zh_CN/models/MobileViT.md @@ -17,6 +17,6 @@ MobileViT 是一个轻量级的视觉 Transformer 网络，可以用作计算机 | Models | Top1 | Top5 | Reference
top1 | Reference
top5 | FLOPs
(M) | Params
(M) | |:--:|:--:|:--:|:--:|:--:|:--:|:--:| -| MobileViT_XXS | 0.6867 | 0.8878 | 0.690 | - | 1849.35 | 5.59 | +| MobileViT_XXS | 0.6867 | 0.8878 | 0.690 | - | 337.24 | 1.28 | | MobileViT_XS | 0.7454 | 0.9227 | 0.747 | - | 930.75 | 2.33 | -| MobileViT_S | 0.7814 | 0.9413 | 0.783 | - | 337.24 | 1.28 | +| MobileViT_S | 0.7814 | 0.9413 | 0.783 | - | 1849.35 | 5.59 | -- GitLab