From 3031a7c7caa766674769601eecacf54bc905d36d Mon Sep 17 00:00:00 2001 From: Zeyu Chen Date: Wed, 2 Dec 2020 21:41:19 +0800 Subject: [PATCH] Update README.md Fix more typo --- README.md | 31 ++++++++++++++++--------------- 1 file changed, 16 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index d0ddffbe..385aebb1 100644 --- a/README.md +++ b/README.md @@ -15,8 +15,8 @@ English | [简体中文](README_ch.md) ## Introduction - PaddleHub aims to provide developers with rich, high-quality, and directly usable pre-trained models. - **【No need for deep learning background, no data and training process】**，you can use AI models quickly and enjoy the dividends of the artificial intelligence era. -- Covers the four major categories of CV, NLP, Audio, and Video, and supports **one-click prediction**, **one-click service deployment** and **migration learning** -- All models are open source download, **offline can run**. +- Covers 4 major categories of CV, NLP, Audio, and Video, and supports **one-click prediction**, **one-click service deployment** and **transfer learning** +- All models are **OPEN SOURCE**, **FREE** for download and use in **offline scenario**. **Recent updates** - 2020.12.1: Release 2.0-beta-1 version, migrate ERNIE, RoBERTa, BERT to dynamic graph mode. Add text classification fine-tuen task based on large-scale pre-trained models. @@ -24,7 +24,7 @@ English | [简体中文](README_ch.md) - 2020.10.09: Added 4 new OCR multi-language series models, 4 image editing models, and the total number of pre-trained models reached **【162】**. - 2020.09.27: 6 new text generation models and 1 image segmentation model were added, and the total number of pre-trained models reached **【154】**. - 2020.08.13: Released v1.8.1, added a segmentation model, and supports EMNLP2019-Sentence-BERT as a text matching task network. The total number of pre-training models reaches **【147】**. -- 2020.07.29: Release v1.8.0, new AI couplets and AI writing poems, jieba word cutting, text data LDA, semantic similarity calculation, new target detection, short video classification model, ultra-lightweight Chinese and English OCR, new pedestrian detection, vehicle Industrial-grade models such as detection and animal recognition support VisualDL visualization training, and the total number of pre-training models reaches **【135】**. +- 2020.07.29: Release v1.8.0, new AI couplets and AI writing poems, jieba word cutting, text data LDA, semantic similarity calculation, new target detection, short video classification model, ultra-lightweight Chinese and English OCR, new pedestrian detection, vehicle Industrial-grade models such as detection and animal recognition support [VisualDL](https://github.com/PaddlePaddle/VisualDL) visualization training, and the total number of pre-training models reaches **【135】**. ## Features @@ -35,7 +35,8 @@ English | [简体中文](README_ch.md) - **【PIP installation 】**: Support PIP quick installation and use. - **【Cross-platform Compatibility】**: Can run on Linux, Windows, MacOS and other operating systems. -## Visualization +## Visualization Demo + ### Text Recognition - Contains ultra-lightweight Chinese and English OCR models, high-precision Chinese and English, multilingual German, French, Japanese, Korean OCR recognition.
@@ -49,7 +50,7 @@ English | [简体中文](README_ch.md)
### Image Editing -- 4 times super resolution effect, multiple super resolution models are optional. +- 4x super resolution effect, multiple super resolution models are optional. - Colorization models can be used to repair old grayscale photos.
@@ -76,13 +77,13 @@ English | [简体中文](README_ch.md)
### Object Detection -- Including pedestrian detection, vehicle detection, and more industrial-grade ultra-large-scale pretrained models are optional. +- Pedestrian detection, vehicle detection, and more industrial-grade ultra-large-scale pretrained models are provided.
### Key Point Detection -- Supports body, face and hands key point detection in single or multiple person. +- Supports body, face and hands key point detection for single or multiple person.
@@ -162,7 +163,7 @@ English | [简体中文](README_ch.md) ### Video Classification -- Contains short video classification, supports 3000+ tag types, can output TOP-K tags, and multiple algorithms are optional. +- Short video classification trained via large-scale video dataset, supports 3000+ tag types prediction. - `Example: Input a short video of swimming, the algorithm can output the result of "swimming"`
@@ -190,7 +191,7 @@ If you fail to scan the code, please add WeChat 15711058002 and note "Hub", the - Quick Start - [Command Line](./docs/docs_en/quick_experience/cmd_quick_run_en.md) - [Python API](./docs/docs_en/quick_experience/python_use_hub_en.md) - - [More_Demos](./docs/docs_en/quick_experience/more_demos_en.md) + - [More Demos](./docs/docs_en/quick_experience/more_demos_en.md) - Rich Pre-trained Models 182 - [Boutique Featured Models](./docs/docs_en/figures_en.md) - Computer Vision 126 @@ -216,14 +217,14 @@ If you fail to scan the code, please add WeChat 15711058002 and note "Hub", the - Deploy - [Local Inference Deployment](./docs/docs_en/quick_experience/python_use_hub_en.md) - [One Line of Code Service deployment](./docs/docs_en/tutorial/serving_en.md) - - [Mobile Lite Deployment (link to Lite tutorial)](https://paddle-lite.readthedocs.io/zh/latest/quick_start/tutorial.html) + - [Mobile Device Deployment](https://paddle-lite.readthedocs.io/zh/latest/quick_start/tutorial.html) - Advanced documentation - - [Command_Line](./docs/docs_en/tutorial/cmdintro_en.md) - - [How to Load Data](./docs/docs_en/tutorial/how_to_load_data_en.md) + - [Command Line Interface Usage](./docs/docs_en/tutorial/cmdintro_en.md) + - [How to Load Customized Dataset](./docs/docs_en/tutorial/how_to_load_data_en.md) - Community - - [Join the technical group](#Welcome_joinus) - - [Contribute pre-trained models](./docs/docs_en/contribution/contri_pretrained_model_en.md) - - [Contribute code](./docs/docs_en/contribution/contri_pr_en.md) + - [Join Technical Group](#Welcome_joinus) + - [Contribute Pre-trained Models](./docs/docs_en/contribution/contri_pretrained_model_en.md) + - [Contribute Code](./docs/docs_en/contribution/contri_pr_en.md) - [License](#License) - [Contribution](#Contribution) -- GitLab