From ac8e256f16b1e295baf71413569ea41391834994 Mon Sep 17 00:00:00 2001 From: littletomatodonkey Date: Sun, 22 Mar 2020 16:46:00 +0800 Subject: [PATCH] fix cls doc (#4454) * fix cls doc * del dead link * fix develop link * add autodl link --- PaddleCV/README.md | 40 +++++++++++++++++++++++----------------- 1 file changed, 23 insertions(+), 17 deletions(-) diff --git a/PaddleCV/README.md b/PaddleCV/README.md index c3e199af..d9509758 100644 --- a/PaddleCV/README.md +++ b/PaddleCV/README.md @@ -6,23 +6,29 @@ PaddleCV 图像分类是根据图像的语义信息对不同类别图像进行区分，是计算机视觉中重要的基础问题，是物体检测、图像分割、物体跟踪、行为分析、人脸识别等其他高层视觉任务的基础，在许多领域都有着广泛的应用。如：安防领域的人脸识别和智能视频分析等，交通领域的交通场景识别，互联网领域基于内容的图像检索和相册自动归类，医学领域的图像识别等。 -在深度学习时代，图像分类的准确率大幅度提升，在图像分类任务中，我们向大家介绍了如何在经典的数据集ImageNet上，训练常用的模型，包括AlexNet、VGG系列、ResNet系列、ResNeXt系列、Inception系列、MobileNet系列、SENet系列、DarkNet、SqueezeNet、ShuffleNet系列等模型，也开源了[训练的模型](https://github.com/PaddlePaddle/models/blob/release/1.7/PaddleCV/image_classification/README.md#已有模型及其性能) 方便用户下载使用。同时提供了能够将Caffe模型转换为PaddlePaddle -Fluid模型配置和参数文件的工具。 - -- [AlexNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [SqueezeNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [VGG Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [GoogleNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [ResNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [ResNeXt Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [ShuffleNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [DenseNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [Inception Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [MobileNet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [SENet Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [DarkNet](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [ResNeXt101_wsl Series](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/image_classification/models) -- [Caffe模型转换为Paddle Fluid配置和模型文件工具](https://github.com/PaddlePaddle/models/tree/release/1.7/PaddleCV/caffe2fluid) +在深度学习时代，图像分类的准确率大幅度提升，在图像分类任务中，我们向大家介绍了如何在经典的数据集ImageNet上，训练常用的模型，包括AlexNet、VGG、ResNet、ResNeXt、Inception、MobileNet、SENet、DarkNet、SqueezeNet、ShuffleNet、Res2Net、DenseNet、DPN、EfficientNet、HRNet、AutoDL、ResNet-ACNet等系列模型，也开源了共105个[预训练模型](https://github.com/PaddlePaddle/models/blob/develop/PaddleCV/image_classification/README.md#已发布模型及其性能)方便用户下载使用。 + +- [AlexNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [SqueezeNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [VGG Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [GoogleNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [ResNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [ResNeXt Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [ShuffleNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [DenseNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [Inception Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [MobileNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [SENet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [DarkNet](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [ResNeXt101_wsl Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [Res2Net Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [DenseNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [DPN Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [EfficientNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [HRNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [AutoDL Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) +- [ResNet-ACNet Series](https://github.com/PaddlePaddle/models/tree/develop/PaddleCV/image_classification/models) + 目标检测 -------- -- GitLab