From 9bc02acbb9bd7cd3314a98f8622ec7e3dd850ae4 Mon Sep 17 00:00:00 2001 From: LielinJiang <50691816+LielinJiang@users.noreply.github.com> Date: Mon, 23 Sep 2019 15:42:49 +0800 Subject: [PATCH] Add note for ported weights of efficientNet (#3386) * add notes for the ported weight of EfficientNet --- PaddleCV/image_classification/README.md | 16 +++++++++------- PaddleCV/image_classification/README_en.md | 16 +++++++++------- 2 files changed, 18 insertions(+), 14 deletions(-) diff --git a/PaddleCV/image_classification/README.md b/PaddleCV/image_classification/README.md index 1ede86b1..d2ccf79e 100644 --- a/PaddleCV/image_classification/README.md +++ b/PaddleCV/image_classification/README.md @@ -386,13 +386,15 @@ PaddlePaddle/Models ImageClassification 支持自定义数据 |Model | Top-1 | Top-5 | Paddle Fluid inference time(ms) | Paddle TensorRT inference time(ms) | |- |:-: |:-: |:-: |:-: | |[EfficientNetB0](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB0_pretrained.tar) | 77.38% | 93.31% | 10.303 | 4.334 | -|[EfficientNetB1](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB1_pretrained.tar) | 79.15% | 94.41% | 15.626 | 6.502 | -|[EfficientNetB2](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB2_pretrained.tar) | 79.85% | 94.74% | 17.847 | 7.558 | -|[EfficientNetB3](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB3_pretrained.tar) | 81.15% | 95.41% | 25.993 | 10.937 | -|[EfficientNetB4](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB4_pretrained.tar) | 82.85% | 96.23% | 47.734 | 18.536 | -|[EfficientNetB5](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB5_pretrained.tar) | 83.62% | 96.72% | 88.578 | 32.102 | -|[EfficientNetB6](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB6_pretrained.tar) | 84.00% | 96.88% | 138.670 | 51.059 | -|[EfficientNetB7](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB7_pretrained.tar) | 84.30% | 96.89% | 234.364 | 82.107 | +|[EfficientNetB1](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB1_pretrained.tar)[1](#trans) | 79.15% | 94.41% | 15.626 | 6.502 | +|[EfficientNetB2](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB2_pretrained.tar)[1](#trans) | 79.85% | 94.74% | 17.847 | 7.558 | +|[EfficientNetB3](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB3_pretrained.tar)[1](#trans) | 81.15% | 95.41% | 25.993 | 10.937 | +|[EfficientNetB4](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB4_pretrained.tar)[1](#trans) | 82.85% | 96.23% | 47.734 | 18.536 | +|[EfficientNetB5](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB5_pretrained.tar)[1](#trans) | 83.62% | 96.72% | 88.578 | 32.102 | +|[EfficientNetB6](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB6_pretrained.tar)[1](#trans) | 84.00% | 96.88% | 138.670 | 51.059 | +|[EfficientNetB7](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB7_pretrained.tar)[1](#trans) | 84.30% | 96.89% | 234.364 | 82.107 | + +[1] 表示该预训练权重是由[官方的代码仓库](https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet)转换来的。 ## FAQ diff --git a/PaddleCV/image_classification/README_en.md b/PaddleCV/image_classification/README_en.md index 4d8cae3c..0a8b6115 100644 --- a/PaddleCV/image_classification/README_en.md +++ b/PaddleCV/image_classification/README_en.md @@ -368,13 +368,15 @@ Pretrained models can be downloaded by clicking related model names. |Model | Top-1 | Top-5 | Paddle Fluid inference time(ms) | Paddle TensorRT inference time(ms) | |- |:-: |:-: |:-: |:-: | |[EfficientNetB0](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB0_pretrained.tar) | 77.38% | 93.31% | 10.303 | 4.334 | -|[EfficientNetB1](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB1_pretrained.tar) | 79.15% | 94.41% | 15.626 | 6.502 | -|[EfficientNetB2](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB2_pretrained.tar) | 79.85% | 94.74% | 17.847 | 7.558 | -|[EfficientNetB3](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB3_pretrained.tar) | 81.15% | 95.41% | 25.993 | 10.937 | -|[EfficientNetB4](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB4_pretrained.tar) | 82.85% | 96.23% | 47.734 | 18.536 | -|[EfficientNetB5](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB5_pretrained.tar) | 83.62% | 96.72% | 88.578 | 32.102 | -|[EfficientNetB6](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB6_pretrained.tar) | 84.00% | 96.88% | 138.670 | 51.059 | -|[EfficientNetB7](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB7_pretrained.tar) | 84.30% | 96.89% | 234.364 | 82.107 | +|[EfficientNetB1](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB1_pretrained.tar)[1](#trans) | 79.15% | 94.41% | 15.626 | 6.502 | +|[EfficientNetB2](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB2_pretrained.tar)[1](#trans) | 79.85% | 94.74% | 17.847 | 7.558 | +|[EfficientNetB3](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB3_pretrained.tar)[1](#trans) | 81.15% | 95.41% | 25.993 | 10.937 | +|[EfficientNetB4](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB4_pretrained.tar)[1](#trans) | 82.85% | 96.23% | 47.734 | 18.536 | +|[EfficientNetB5](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB5_pretrained.tar)[1](#trans) | 83.62% | 96.72% | 88.578 | 32.102 | +|[EfficientNetB6](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB6_pretrained.tar)[1](#trans) | 84.00% | 96.88% | 138.670 | 51.059 | +|[EfficientNetB7](https://paddle-imagenet-models-name.bj.bcebos.com/EfficientNetB7_pretrained.tar)[1](#trans) | 84.30% | 96.89% | 234.364 | 82.107 | + +[1] means the pretrained weight is converted form [original repository](https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet). ## FAQ -- GitLab