From 714a48ea046ec27cc72137dca31536cf2d614f1a Mon Sep 17 00:00:00 2001 From: littletomatodonkey <2120160898@bit.edu.cn> Date: Fri, 23 Apr 2021 16:43:36 +0800 Subject: [PATCH] Update getting_started_en.md --- docs/en/tutorials/getting_started_en.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/en/tutorials/getting_started_en.md b/docs/en/tutorials/getting_started_en.md index 8d45740f..8f0c4bc8 100644 --- a/docs/en/tutorials/getting_started_en.md +++ b/docs/en/tutorials/getting_started_en.md @@ -223,7 +223,7 @@ Among them: + `pre_label_image`: Whether to pre-label the image data, default value: `False`; + `pre_label_out_idr`: The output path of pre-labeled image data. When `pre_label_image=True`, a lot of subfolders will be generated under the path, each subfolder represent a category, which stores all the images predicted by the model to belong to the category. -**Note**: If you want to use `Transformer series models`, such as `DeiT_***_384`, `ViT_***_384`, etc., please pay attention to the input size of model, and need to set `resize_short=384`, `reize=384`. +**Note**: If you want to use `Transformer series models`, such as `DeiT_***_384`, `ViT_***_384`, etc., please pay attention to the input size of model, and need to set `resize_short=384`, `resize=384`. About more detailed infomation, you can refer to [infer.py](../../../tools/infer/infer.py). @@ -268,6 +268,6 @@ Among them: + `resize_short`: The length of the shortest side of the image that be scaled proportionally, default by `256`; + `resize`: The side length of the image that be center cropped from resize_shorted image, default by `224`; -**Note**: If you want to use `Transformer series models`, such as `DeiT_***_384`, `ViT_***_384`, etc., please pay attention to the input size of model, and need to set `resize_short=384`, `reize=384`. +**Note**: If you want to use `Transformer series models`, such as `DeiT_***_384`, `ViT_***_384`, etc., please pay attention to the input size of model, and need to set `resize_short=384`, `resize=384`. If you want to evaluate the speed of the model, it is recommended to use [predict.py](../../../tools/infer/predict.py), and enable TensorRT to accelerate. -- GitLab