diff --git a/docs/en/algorithm_introduction/ImageNet_models_en.md b/docs/en/algorithm_introduction/ImageNet_models_en.md index a3471c5f33839edc02684e5530c580270068b584..29d4f47d7144f175e531a318576eb7ccc4d24ea1 100644 --- a/docs/en/algorithm_introduction/ImageNet_models_en.md +++ b/docs/en/algorithm_introduction/ImageNet_models_en.md @@ -8,17 +8,21 @@ Based on the ImageNet-1k classification dataset, the 35 classification network s Curves of accuracy to the inference time of common server-side models are shown as follows. -![](../../images/models/V100_benchmark/v100.fp32.bs1.main_fps_top1_s.png) +
+ +
-Curves of accuracy to the inference time and storage size of common mobile-side models are shown as follows. +Curves of accuracy to the inference time of common mobile-side models are shown as follows. -![](../../images/models/mobile_arm_storage.png) - -![](../../images/models/mobile_arm_top1.png) +
+ +
Curves of accuracy to the inference time of some VisionTransformer models are shown as follows. -![](../../images/models/V100_benchmark/v100.fp32.bs1.visiontransformer.png) +
+ +
### SSLD pretrained models diff --git a/docs/en/models/models_intro_en.md b/docs/en/models/models_intro_en.md index f932adaeee003030814f98552e41116081448f6f..feb67f0eb9bdd697324c7ea12de4ee7103199952 100644 --- a/docs/en/models/models_intro_en.md +++ b/docs/en/models/models_intro_en.md @@ -23,11 +23,17 @@ python tools/infer/predict.py \ --batch_size=1 ``` -![](../../images/models/V100_benchmark/v100.fp32.bs1.main_fps_top1_s.png) +
+ +
-![](../../images/models/mobile_arm_top1.png) +
+ +
-![](../../images/models/V100_benchmark/v100.fp32.bs1.visiontransformer.png) +
+ +
> If you think this document is helpful to you, welcome to give a star to our project:[https://github.com/PaddlePaddle/PaddleClas](https://github.com/PaddlePaddle/PaddleClas) diff --git a/docs/zh_CN/algorithm_introduction/ImageNet_models.md b/docs/zh_CN/algorithm_introduction/ImageNet_models.md index 3b6d7b4bafee887361e2f1a703c45356f541d143..6b836e151efbe3879000045971b3c268e688ba68 100644 --- a/docs/zh_CN/algorithm_introduction/ImageNet_models.md +++ b/docs/zh_CN/algorithm_introduction/ImageNet_models.md @@ -44,17 +44,21 @@ 常见服务器端模型的精度指标与其预测耗时的变化曲线如下图所示。 -![](../../images/models/V100_benchmark/v100.fp32.bs1.main_fps_top1_s.png) +
+ +
-常见移动端模型的精度指标与其预测耗时、模型存储大小的变化曲线如下图所示。 +常见移动端模型的精度指标与其预测耗时的变化曲线如下图所示。 -![](../../images/models/mobile_arm_storage.png) - -![](../../images/models/mobile_arm_top1.png) +
+ +
部分VisionTransformer模型的精度指标与其预测耗时的变化曲线如下图所示。 -![](../../images/models/V100_benchmark/v100.fp32.bs1.visiontransformer.png) +
+ +
diff --git a/docs/zh_CN/models/models_intro.md b/docs/zh_CN/models/models_intro.md index b141a8af4529dea39e87f1ab739330ed7e9d1441..99a9d1eb7132f2de4d003997485e25ce2a1f7bfb 100644 --- a/docs/zh_CN/models/models_intro.md +++ b/docs/zh_CN/models/models_intro.md @@ -20,12 +20,17 @@ * Intel CPU 的评估环境基于 Intel(R) Xeon(R) Gold 6148。 * GPU 评估环境基于 V100 和 TensorRT。 +
+ +
-![](../../images/models/V100_benchmark/v100.fp32.bs1.main_fps_top1_s.png) +
+ +
-![](../../images/models/mobile_arm_top1.png) - -![](../../images/models/V100_benchmark/v100.fp32.bs1.visiontransformer.png) +
+ +
> 如果您觉得此文档对您有帮助，欢迎 star 我们的项目：[https://github.com/PaddlePaddle/PaddleClas](https://github.com/PaddlePaddle/PaddleClas)