PaddleHub可以便捷地获取PaddlePaddle生态下的预训练模型，完成模型的管理和一键预测.rar

English | [简体中文](README_ch.md) # CONTENTS |[Image](#Image) (212)|[Text](#Text) (130)|[Audio](#Audio) (15)|[Video](#Video) (8)|[Industrial Application](#Industrial-Application) (1)| |--|--|--|--|--| |[Image Classification](#Image-Classification) (108)|[Text Generation](#Text-Generation) (17)| [Voice Cloning](#Voice-Cloning) (2)|[Video Classification](#Video-Classification) (5)| [Meter Detection](#Meter-Detection) (1)| |[Image Generation](#Image-Generation) (26)|[Word Embedding](#Word-Embedding) (62)|[Text to Speech](#Text-to-Speech) (5)|[Video Editing](#Video-Editing) (1)|-| |[Keypoint Detection](#Keypoint-Detection) (5)|[Machine Translation](#Machine-Translation) (2)|[Automatic Speech Recognition](#Automatic-Speech-Recognition) (5)|[Multiple Object tracking](#Multiple-Object-tracking) (2)|-| |[Semantic Segmentation](#Semantic-Segmentation) (25)|[Language Model](#Language-Model) (30)|[Audio Classification](#Audio-Classification) (3)| -|-| |[Face Detection](#Face-Detection) (7)|[Sentiment Analysis](#Sentiment-Analysis) (7)|-|-|-| |[Text Recognition](#Text-Recognition) (17)|[Syntactic Analysis](#Syntactic-Analysis) (1)|-|-|-| |[Image Editing](#Image-Editing) (8)|[Simultaneous Translation](#Simultaneous-Translation) (5)|-|-|-| |[Instance Segmentation](#Instance-Segmentation) (1)|[Lexical Analysis](#Lexical-Analysis) (2)|-|-|-| |[Object Detection](#Object-Detection) (13)|[Punctuation Restoration](#Punctuation-Restoration) (1)|-|-|-| |[Depth Estimation](#Depth-Estimation) (2)|[Text Review](#Text-Review) (3)|-|-|-| ## Image - ### Image Classification <details><summary>expand</summary><div> |module|Network|Dataset|Introduction| |--|--|--|--| |[DriverStatusRecognition](image/classification/DriverStatusRecognition)|MobileNetV3_small_ssld|分心司机检测数据集|| |[mobilenet_v2_animals](image/classification/mobilenet_v2_animals)|MobileNet_v2|百度自建动物数据集|| |[repvgg_a1_imagenet](image/classification/repvgg_a1_imagenet)|RepVGG|ImageNet-2012|| |[repvgg_a0_imagenet](image/classification/repvgg_a0_imagenet)|RepVGG|ImageNet-2012|| |[resnext152_32x4d_imagenet](image/classification/resnext152_32x4d_imagenet)|ResNeXt|ImageNet-2012|| |[resnet_v2_152_imagenet](image/classification/resnet_v2_152_imagenet)|ResNet V2|ImageNet-2012|| |[resnet50_vd_animals](image/classification/resnet50_vd_animals)|ResNet50_vd|百度自建动物数据集|| |[food_classification](image/classification/food_classification)|ResNet50_vd_ssld|美食数据集|| |[mobilenet_v3_large_imagenet_ssld](image/classification/mobilenet_v3_large_imagenet_ssld)|Mobilenet_v3_large|ImageNet-2012|| |[resnext152_vd_32x4d_imagenet](image/classification/resnext152_vd_32x4d_imagenet)|||| |[ghostnet_x1_3_imagenet_ssld](image/classification/ghostnet_x1_3_imagenet_ssld)|GhostNet|ImageNet-2012|| |[rexnet_1_5_imagenet](image/classification/rexnet_1_5_imagenet)|ReXNet|ImageNet-2012|| |[resnext50_64x4d_imagenet](image/classification/resnext50_64x4d_imagenet)|ResNeXt|ImageNet-2012|| |[resnext101_64x4d_imagenet](image/classification/resnext101_64x4d_imagenet)|ResNeXt|ImageNet-2012|| |[efficientnetb0_imagenet](image/classification/efficientnetb0_imagenet)|EfficientNet|ImageNet-2012|| |[efficientnetb1_imagenet](image/classification/efficientnetb1_imagenet)|EfficientNet|ImageNet-2012|| |[mobilenet_v2_imagenet_ssld](image/classification/mobilenet_v2_imagenet_ssld)|Mobilenet_v2|ImageNet-2012|| |[resnet50_vd_dishes](image/classification/resnet50_vd_dishes)|ResNet50_vd|百度自建菜品数据集|| |[pnasnet_imagenet](image/classification/pnasnet_imagenet)|PNASNet|ImageNet-2012|| |[rexnet_2_0_imagenet](image/classification/rexnet_2_0_imagenet)|ReXNet|ImageNet-2012|| |[SnakeIdentification](image/classification/SnakeIdentification)|ResNet50_vd_ssld|蛇种数据集|| |[hrnet40_imagenet](image/classification/hrnet40_imagenet)|HRNet|ImageNet-2012|| |[resnet_v2_34_imagenet](image/classification/resnet_v2_34_imagenet)|ResNet V2|ImageNet-2012|| |[mobilenet_v2_dishes](image/classification/mobilenet_v2_dishes)|MobileNet_v2|百度自建菜品数据集|| |[resnext101_vd_32x4d_imagenet](image/classification/resnext101_vd_32x4d_imagenet)|ResNeXt|ImageNet-2012|| |[repvgg_b2g4_imagenet](image/classification/repvgg_b2g4_imagenet)|RepVGG|ImageNet-2012|| |[fix_resnext101_32x48d_wsl_imagenet](image/classification/fix_resnext101_32x48d_wsl_imagenet)|ResNeXt|ImageNet-2012|| |[vgg13_imagenet](image/classification/vgg13_imagenet)|VGG|ImageNet-2012|| |[se_resnext101_32x4d_imagenet](image/classification/se_resnext101_32x4d_imagenet)|SE_ResNeXt|ImageNet-2012|| |[hrnet30_imagenet](image/classification/hrnet30_imagenet)|HRNet|ImageNet-2012|| |[ghostnet_x1_3_imagenet](image/classification/ghostnet_x1_3_imagenet)|GhostNet|ImageNet-2012|| |[dpn107_imagenet](image/classification/dpn107_imagenet)|DPN|ImageNet-2012|| |[densenet161_imagenet](image/classification/densenet161_imagenet)|DenseNet|ImageNet-2012|| |[vgg19_imagenet](image/classification/vgg19_imagenet)|vgg19_imagenet|ImageNet-2012|| |[mobilenet_v2_imagenet](image/classification/mobilenet_v2_imagenet)|Mobilenet_v2|ImageNet-2012|| |[resnet50_vd_10w](image/classification/resnet50_vd_10w)|ResNet_vd|百度自建数据集|| |[resnet_v2_101_imagenet](image/classification/resnet_v2_101_imagenet)|ResNet V2 101|ImageNet-2012|| |[darknet53_imagenet](image/classification/darknet53_imagenet)|DarkNet|ImageNet-2012|| |[se_resnext50_32x4d_imagenet](image/classification/se_resnext50_32x4d_imagenet)|SE_ResNeXt|ImageNet-2012|| |[se_hrnet64_imagenet_ssld](image/classification/se_hrnet64_imagenet_ssld)|HRNet|ImageNet-2012|| |[resnext101_32x16d_wsl](image/classification/resnext101_32x16d_wsl)|ResNeXt_wsl|ImageNet-2012|| |[hrnet18_imagenet](image/classification/hrnet18_imagenet)|HRNet|ImageNet-2012|| |[spinalnet_res101_gemstone](image/classification/spinalnet_res101_gemstone)|resnet101|gemstone|| |[densenet264_imagenet](image/classification/densenet264_imagenet)|DenseNet|ImageNet-2012|| |[resnext50_vd_32x4d_imagenet](image/classification/resnext50_vd_32x4d_imagenet)|ResNeXt_vd|ImageNet-2012|| |[SpinalNet_Gemstones](image/classification/SpinalNet_Gemstones)|||| |[spinalnet_vgg16_gemstone](image/classification/spinalnet_vgg16_gemstone)|vgg16|gemstone|| |[xception71_imagenet](image/classification/xception71_imagenet)|Xception|ImageNet-2012|| |[repvgg_b2_imagenet](image/classification/repvgg_b2_imagenet)|RepVGG|ImageNet-2012|| |[dpn68_imagenet](image/classification/dpn68_imagenet)|DPN|ImageNet-2012|| |[alexnet_imagenet](image/classification/alexnet_imagenet)|AlexNet|ImageNet-2012|| |[rexnet_1_3_imagenet](image/classification/rexnet_1_3_imagenet)|ReXNet|ImageNet-2012|| |[hrnet64_imagenet](image/classification/hrnet64_imagenet)|HRNet|ImageNet-2012|| |[efficientnetb7_imagenet](image/classification/efficientnetb7_imagenet)|EfficientNet|ImageNet-2012|| |[efficientnetb0_small_imagenet](image/classification/efficientnetb0_small_imagenet)|EfficientNet|ImageNet-2012|| |[efficientnetb6_imagenet](image/classification/efficientnetb6_imagenet)|EfficientNet|ImageNet-2012|| |[hrnet48_imagenet](image/classification/hrnet48_imagenet)|HRNet|ImageNet-2012|| |[rexnet_3_0_imagenet](image/classification/rexnet_3_0_imagenet)|ReXNet|ImageNet-2012|| |[shufflenet_v2_imagenet](image/classification/shufflenet_v2_imagenet)|ShuffleNet V2|ImageNet-2012|| |[ghostnet_x0_5_imagenet](image/classification/ghostnet_x0_5_imagenet)|GhostNet|ImageNet-2012|| |[inception_v4_imagenet](image/classification/inception_v4_imagenet)|Inception_V4|ImageNet-2012|| |[resnext101_vd_64x4d_imagenet](image/classification/resnext101_vd_64x4d_imagenet)|ResNeXt_vd|ImageNet-2012|| |[densenet201_imagenet](image/classification/densenet201_imagenet)|DenseNet|ImageNet-2012|| |[vgg16_imagenet](image/classification/vgg16_imagenet)|VGG|ImageNet-2012|| |[mobilenet_v3_small_imagenet_ssld](image/classification/mobilenet_v3_small_imagenet_ssld)|Mobilenet_v3_Small|ImageNet-2012|| |[hrnet18_imagenet_ssld](image/classification/hrnet18_imagenet_ssld)|HRNet|ImageNet-2012|| |[