From 265926592d453e01ad9b80e30ee2f8a98278f4a4 Mon Sep 17 00:00:00 2001
From: HanXinzi2020 <hanxinzi2020@163.com>
Date: Thu, 30 Dec 2021 11:36:33 +0800
Subject: [PATCH] Update README.md

---
 README.md | 82 +++++++++++++++++++++++++++----------------------------
 1 file changed, 41 insertions(+), 41 deletions(-)

diff --git a/README.md b/README.md
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@@ -19,123 +19,123 @@
 ---
 
 
-## Contents
-
-- [图像分类](#) _10 projects_
-- [目标检测](#) _13 projects_
-- [图像分割](#) _8 projects_
-- [OCR文字识别](#ocr) _11 projects_
-- [图文转换ImageCaptioning与视觉问答VQA](#imagecaptioningvqa) _11 projects_
-- [图图转换ImageTranslation](#imagetranslation) _9 projects_
-- [图像超分辨率](#) _10 projects_
-- [人脸检测与识别](#) _10 projects_
-- [医疗影像](#) _7 projects_
-- [行人检测](#) _5 projects_
-- [自动驾驶](#) _6 projects_
-- [生成对抗网络GAN](#gan) _10 projects_
-- [模型压缩与优化](#) _9 projects_
+## 目录
+
+- [图像分类](#图像分类) _10 个项目案例_
+- [目标检测](#目标检测) _13 个项目案例_
+- [图像分割](#图像分割) _8 个项目案例_
+- [OCR文字识别](#OCR文字识别) _11 个项目案例_
+- [图文转换ImageCaptioning与视觉问答VQA](#图文转换ImageCaptioning与视觉问答VQA) _11 个项目案例_
+- [图图转换ImageTranslation](#图图转换ImageTranslation) _9 个项目案例_
+- [图像超分辨率](#图像超分辨率) _10 个项目案例_
+- [人脸检测与识别](#人脸检测与识别) _10 个项目案例_
+- [医疗影像](#医疗影像) _7 个项目案例_
+- [行人检测](#行人检测) _5 个项目案例_
+- [自动驾驶](#自动驾驶) _6 个项目案例_
+- [生成对抗网络GAN](#生成对抗网络GAN) _10 个项目案例_
+- [模型压缩与优化](#模型压缩与优化) _9 个项目案例_
 
 <br>
 
 ## 图像分类
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/rwightman/pytorch-image-models"><img width="256" height="144" src="./screenshots/pytorch-image-models.png"></a><br><h3><a href="https://github.com/rwightman/pytorch-image-models">pytorch-image-models</a></h3><p>⭐ 14K · <a href="https://github.com/rwightman/pytorch-image-models">:octocat: Code</a></p><p>rwightman pytorch-image-models</p><p><sup>by <a href="https://github.com/rwightman">@rwightman</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/lucidrains/vit-pytorch"><img width="256" height="144" src="./screenshots/Vision-Transformer.png"></a><br><h3><a href="https://github.com/lucidrains/vit-pytorch">Vision-Transformer</a></h3><p>⭐ 6K · <a href="https://github.com/lucidrains/vit-pytorch">:octocat: Code</a></p><p>lucidrains vit-pytorch</p><p><sup>by <a href="https://github.com/lucidrains">@lucidrains</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleClas"><img width="256" height="144" src="./screenshots/PaddlePaddle-PaddleClas.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleClas">PaddlePaddle-PaddleClas</a></h3><p>⭐ 2.3K · <a href="https://github.com/PaddlePaddle/PaddleClas">:octocat: Code</a></p><p>PaddlePaddle PaddleClas</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/weiaicunzai/awesome-image-classification"><img width="256" height="144" src="./screenshots/awesome-image-classification.png"></a><br><h3><a href="https://github.com/weiaicunzai/awesome-image-classification">awesome-image-classification</a></h3><p>⭐ 1.9K · <a href="https://github.com/weiaicunzai/awesome-image-classification">:octocat: Code</a></p><p>weiaicunzai awesome-image-classification</p><p><sup>by <a href="https://github.com/weiaicunzai">@weiaicunzai</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/pycls"><img width="256" height="144" src="./screenshots/facebookresearch-pycls.png"></a><br><h3><a href="https://github.com/facebookresearch/pycls">facebookresearch-pycls</a></h3><p>⭐ 1.7K · <a href="https://github.com/facebookresearch/pycls">:octocat: Code</a></p><p>facebookresearch pycls</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/rwightman/gen-efficientnet-pytorch"><img width="256" height="144" src="./screenshots/gen-efficientnet-pytorch.png"></a><br><h3><a href="https://github.com/rwightman/gen-efficientnet-pytorch">gen-efficientnet-pytorch</a></h3><p>⭐ 1.4K · <a href="https://github.com/rwightman/gen-efficientnet-pytorch">:octocat: Code</a></p><p>rwightman gen-efficientnet-pytorch</p><p><sup>by <a href="https://github.com/rwightman">@rwightman</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/ClassyVision"><img width="256" height="144" src="./screenshots/facebookresearch-ClassyVision.png"></a><br><h3><a href="https://github.com/facebookresearch/ClassyVision">facebookresearch-ClassyVision</a></h3><p>⭐ 1.4K · <a href="https://github.com/facebookresearch/ClassyVision">:octocat: Code</a></p><p>facebookresearch ClassyVision</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/hysts/pytorch_image_classification"><img width="256" height="144" src="./screenshots/pytorch_image_classification.png"></a><br><h3><a href="https://github.com/hysts/pytorch_image_classification">pytorch_image_classification</a></h3><p>⭐ 940 · <a href="https://github.com/hysts/pytorch_image_classification">:octocat: Code</a></p><p>hysts pytorch_image_classification</p><p><sup>by <a href="https://github.com/hysts">@hysts</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmclassification"><img width="256" height="144" src="./screenshots/open-mmlab-mmclassification.png"></a><br><h3><a href="https://github.com/open-mmlab/mmclassification">open-mmlab-mmclassification</a></h3><p>⭐ 860 · <a href="https://github.com/open-mmlab/mmclassification">:octocat: Code</a></p><p>open-mmlab mmclassification</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification"><img width="256" height="144" src="./screenshots/tf_to_trt_image_classification.png"></a><br><h3><a href="https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification">NVIDIA-tf_to_trt_image_classification</a></h3><p>⭐ 440 · <a href="https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification">:octocat: Code</a></p><p>NVIDIA-AI-IOT tf_to_trt_image_classification</p><p><sup>by <a href="https://github.com/NVIDIA-AI-IOT">@NVIDIA-AI-IOT</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/rwightman/pytorch-image-models"><img width="256" height="144" src="./screenshots/pytorch-image-models.png"></a><br><h3><a href="https://github.com/rwightman/pytorch-image-models">pytorch-image-models</a></h3><p>⭐ 14K · <a href="https://github.com/rwightman/pytorch-image-models">:octocat: Code</a></p><p>pytorch图像分类模型库</p><p><sup>by <a href="https://github.com/rwightman">@rwightman</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/lucidrains/vit-pytorch"><img width="256" height="144" src="./screenshots/Vision-Transformer.png"></a><br><h3><a href="https://github.com/lucidrains/vit-pytorch">Vision-Transformer</a></h3><p>⭐ 6K · <a href="https://github.com/lucidrains/vit-pytorch">:octocat: Code</a></p><p>Vision Transformer的实现</p><p><sup>by <a href="https://github.com/lucidrains">@lucidrains</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleClas"><img width="256" height="144" src="./screenshots/PaddlePaddle-PaddleClas.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleClas">PaddlePaddle-PaddleClas</a></h3><p>⭐ 2.3K · <a href="https://github.com/PaddlePaddle/PaddleClas">:octocat: Code</a></p><p>paddlepaddle实现的图像分类模板</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/weiaicunzai/awesome-image-classification"><img width="256" height="144" src="./screenshots/awesome-image-classification.png"></a><br><h3><a href="https://github.com/weiaicunzai/awesome-image-classification">awesome-image-classification</a></h3><p>⭐ 1.9K · <a href="https://github.com/weiaicunzai/awesome-image-classification">:octocat: Code</a></p><p>awesome图像分类资料</p><p><sup>by <a href="https://github.com/weiaicunzai">@weiaicunzai</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/pycls"><img width="256" height="144" src="./screenshots/facebookresearch-pycls.png"></a><br><h3><a href="https://github.com/facebookresearch/pycls">facebookresearch-pycls</a></h3><p>⭐ 1.7K · <a href="https://github.com/facebookresearch/pycls">:octocat: Code</a></p><p>facebookresearch图像分类基础库</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/rwightman/gen-efficientnet-pytorch"><img width="256" height="144" src="./screenshots/gen-efficientnet-pytorch.png"></a><br><h3><a href="https://github.com/rwightman/gen-efficientnet-pytorch">gen-efficientnet-pytorch</a></h3><p>⭐ 1.4K · <a href="https://github.com/rwightman/gen-efficientnet-pytorch">:octocat: Code</a></p><p>基于pytorch的小型分类网络大全</p><p><sup>by <a href="https://github.com/rwightman">@rwightman</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/ClassyVision"><img width="256" height="144" src="./screenshots/facebookresearch-ClassyVision.png"></a><br><h3><a href="https://github.com/facebookresearch/ClassyVision">facebookresearch-ClassyVision</a></h3><p>⭐ 1.4K · <a href="https://github.com/facebookresearch/ClassyVision">:octocat: Code</a></p><p> facebookresearch基于pytorch的端到端图像与视频分类库</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/hysts/pytorch_image_classification"><img width="256" height="144" src="./screenshots/pytorch_image_classification.png"></a><br><h3><a href="https://github.com/hysts/pytorch_image_classification">pytorch_image_classification</a></h3><p>⭐ 940 · <a href="https://github.com/hysts/pytorch_image_classification">:octocat: Code</a></p><p>图像分类实现合集</p><p><sup>by <a href="https://github.com/hysts">@hysts</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmclassification"><img width="256" height="144" src="./screenshots/open-mmlab-mmclassification.png"></a><br><h3><a href="https://github.com/open-mmlab/mmclassification">open-mmlab-mmclassification</a></h3><p>⭐ 860 · <a href="https://github.com/open-mmlab/mmclassification">:octocat: Code</a></p><p>OpenMMLab实现的图像分类工具库</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification"><img width="256" height="144" src="./screenshots/tf_to_trt_image_classification.png"></a><br><h3><a href="https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification">NVIDIA-tf_to_trt_image_classification</a></h3><p>⭐ 440 · <a href="https://github.com/NVIDIA-AI-IOT/tf_to_trt_image_classification">:octocat: Code</a></p><p>TensorFlow->TensorRT图像分类</p><p><sup>by <a href="https://github.com/NVIDIA-AI-IOT">@NVIDIA-AI-IOT</a></sup></p></td></tr></table>
 
 <br>
 
 ## 目标检测
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/matterport/Mask_RCNN"><img width="256" height="144" src="./screenshots/matterport-Mask_RCNN.png"></a><br><h3><a href="https://github.com/matterport/Mask_RCNN">matterport-Mask_RCNN</a></h3><p>⭐ 21K · <a href="https://github.com/matterport/Mask_RCNN">:octocat: Code</a></p><p>matterport-Mask_RCNN</p><p><sup>by <a href="https://github.com/matterport">@matterport</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/detectron2"><img width="256" height="144" src="./screenshots/detectron2.gif"></a><br><h3><a href="https://github.com/facebookresearch/detectron2">detectron2</a></h3><p>⭐ 18K · <a href="https://github.com/facebookresearch/detectron2">:octocat: Code</a></p><p>facebookresearch detectron2</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmdetection"><img width="256" height="144" src="./screenshots/open-mmlab-mmdetection.png"></a><br><h3><a href="https://github.com/open-mmlab/mmdetection">open-mmlab-mmdetection</a></h3><p>⭐ 17K · <a href="https://github.com/open-mmlab/mmdetection">:octocat: Code</a></p><p>open-mmlab-mmdetection</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/tzutalin/labelImg"><img width="256" height="144" src="./screenshots/labelImg.jpeg"></a><br><h3><a href="https://github.com/tzutalin/labelImg">labelImg</a></h3><p>⭐ 16K · <a href="https://github.com/tzutalin/labelImg">:octocat: Code</a></p><p>tzutalin labelImg</p><p><sup>by <a href="https://github.com/tzutalin">@tzutalin</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/hoya012/deep_learning_object_detection"><img width="256" height="144" src="./screenshots/deep_learning_object_detection.png"></a><br><h3><a href="https://github.com/hoya012/deep_learning_object_detection">deep_learning_object_detection</a></h3><p>⭐ 10K · <a href="https://github.com/hoya012/deep_learning_object_detection">:octocat: Code</a></p><p>hoya012 deep_learning_object_detection</p><p><sup>by <a href="https://github.com/hoya012">@hoya012</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/detr"><img width="256" height="144" src="./screenshots/facebookresearch-detr.png"></a><br><h3><a href="https://github.com/facebookresearch/detr">facebookresearch-detr</a></h3><p>⭐ 7.7K · <a href="https://github.com/facebookresearch/detr">:octocat: Code</a></p><p>facebookresearch detr</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xingyizhou/CenterNet"><img width="256" height="144" src="./screenshots/xingyizhou-CenterNet.jpeg"></a><br><h3><a href="https://github.com/xingyizhou/CenterNet">CenterNet</a></h3><p>⭐ 5.9K · <a href="https://github.com/xingyizhou/CenterNet">:octocat: Code</a></p><p>xingyizhou-CenterNet</p><p><sup>by <a href="https://github.com/xingyizhou">@xingyizhou</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/xuebinqin/U-2-Net"><img width="256" height="144" src="./screenshots/xuebinqin-U-2-Net.png"></a><br><h3><a href="https://github.com/xuebinqin/U-2-Net">U-2-Net</a></h3><p>⭐ 4.9K · <a href="https://github.com/xuebinqin/U-2-Net">:octocat: Code</a></p><p>xuebinqin-U-2-Net</p><p><sup>by <a href="https://github.com/xuebinqin">@xuebinqin</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleDetection"><img width="256" height="144" src="./screenshots/PaddleDetection.jpeg"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleDetection">PaddleDetection</a></h3><p>⭐ 4.7K · <a href="https://github.com/PaddlePaddle/PaddleDetection">:octocat: Code</a></p><p>PaddleDetection</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/VoTT"><img width="256" height="144" src="./screenshots/microsoft-VoTT.png"></a><br><h3><a href="https://github.com/microsoft/VoTT">microsoft-VoTT</a></h3><p>⭐ 3.6K · <a href="https://github.com/microsoft/VoTT">:octocat: Code</a></p><p>microsoft VoTT</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/TuSimple/simpledet"><img width="256" height="144" src="./screenshots/TuSimple-simpledet.png"></a><br><h3><a href="https://github.com/TuSimple/simpledet">TuSimple-simpledet</a></h3><p>⭐ 2.9K · <a href="https://github.com/TuSimple/simpledet">:octocat: Code</a></p><p>TuSimple simpledet</p><p><sup>by <a href="https://github.com/TuSimple">@TuSimple</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Tencent/ObjectDetection-OneStageDet"><img width="256" height="144" src="./screenshots/ObjectDetection-OneStageDet.png"></a><br><h3><a href="https://github.com/Tencent/ObjectDetection-OneStageDet">ObjectDetection-OneStageDet</a></h3><p>⭐ 1.9K · <a href="https://github.com/Tencent/ObjectDetection-OneStageDet">:octocat: Code</a></p><p>Tencent ObjectDetection-OneStageDet</p><p><sup>by <a href="https://github.com/Tencent">@Tencent</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmtracking"><img width="256" height="144" src="./screenshots/open-mmlab-mmtracking.gif"></a><br><h3><a href="https://github.com/open-mmlab/mmtracking">open-mmlab-mmtracking</a></h3><p>⭐ 1.6K · <a href="https://github.com/open-mmlab/mmtracking">:octocat: Code</a></p><p>PaddleDetection</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/matterport/Mask_RCNN"><img width="256" height="144" src="./screenshots/matterport-Mask_RCNN.png"></a><br><h3><a href="https://github.com/matterport/Mask_RCNN">matterport-Mask_RCNN</a></h3><p>⭐ 21K · <a href="https://github.com/matterport/Mask_RCNN">:octocat: Code</a></p><p>matterport实现的Mask_RCNN目标检测</p><p><sup>by <a href="https://github.com/matterport">@matterport</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/detectron2"><img width="256" height="144" src="./screenshots/detectron2.gif"></a><br><h3><a href="https://github.com/facebookresearch/detectron2">detectron2</a></h3><p>⭐ 18K · <a href="https://github.com/facebookresearch/detectron2">:octocat: Code</a></p><p>Facebook的detectron2目标检测框架</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmdetection"><img width="256" height="144" src="./screenshots/open-mmlab-mmdetection.png"></a><br><h3><a href="https://github.com/open-mmlab/mmdetection">open-mmlab-mmdetection</a></h3><p>⭐ 17K · <a href="https://github.com/open-mmlab/mmdetection">:octocat: Code</a></p><p>OpenMMLab实现的目标检测工具库</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/tzutalin/labelImg"><img width="256" height="144" src="./screenshots/labelImg.jpeg"></a><br><h3><a href="https://github.com/tzutalin/labelImg">labelImg</a></h3><p>⭐ 16K · <a href="https://github.com/tzutalin/labelImg">:octocat: Code</a></p><p>labelImg图像标注工具</p><p><sup>by <a href="https://github.com/tzutalin">@tzutalin</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/hoya012/deep_learning_object_detection"><img width="256" height="144" src="./screenshots/deep_learning_object_detection.png"></a><br><h3><a href="https://github.com/hoya012/deep_learning_object_detection">deep_learning_object_detection</a></h3><p>⭐ 10K · <a href="https://github.com/hoya012/deep_learning_object_detection">:octocat: Code</a></p><p>深度学习目标检测资料合集</p><p><sup>by <a href="https://github.com/hoya012">@hoya012</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/detr"><img width="256" height="144" src="./screenshots/facebookresearch-detr.png"></a><br><h3><a href="https://github.com/facebookresearch/detr">facebookresearch-detr</a></h3><p>⭐ 7.7K · <a href="https://github.com/facebookresearch/detr">:octocat: Code</a></p><p>Facebook基于Transformers的端到端目标检测</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xingyizhou/CenterNet"><img width="256" height="144" src="./screenshots/xingyizhou-CenterNet.jpeg"></a><br><h3><a href="https://github.com/xingyizhou/CenterNet">CenterNet</a></h3><p>⭐ 5.9K · <a href="https://github.com/xingyizhou/CenterNet">:octocat: Code</a></p><p>CenterNet实现</p><p><sup>by <a href="https://github.com/xingyizhou">@xingyizhou</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/xuebinqin/U-2-Net"><img width="256" height="144" src="./screenshots/xuebinqin-U-2-Net.png"></a><br><h3><a href="https://github.com/xuebinqin/U-2-Net">U-2-Net</a></h3><p>⭐ 4.9K · <a href="https://github.com/xuebinqin/U-2-Net">:octocat: Code</a></p><p>U2Net实现</p><p><sup>by <a href="https://github.com/xuebinqin">@xuebinqin</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleDetection"><img width="256" height="144" src="./screenshots/PaddleDetection.jpeg"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleDetection">PaddleDetection</a></h3><p>⭐ 4.7K · <a href="https://github.com/PaddlePaddle/PaddleDetection">:octocat: Code</a></p><p>paddlepaddle目标检测套件</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/VoTT"><img width="256" height="144" src="./screenshots/microsoft-VoTT.png"></a><br><h3><a href="https://github.com/microsoft/VoTT">microsoft-VoTT</a></h3><p>⭐ 3.6K · <a href="https://github.com/microsoft/VoTT">:octocat: Code</a></p><p>微软可视化目标检测标注工具</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/TuSimple/simpledet"><img width="256" height="144" src="./screenshots/TuSimple-simpledet.png"></a><br><h3><a href="https://github.com/TuSimple/simpledet">TuSimple-simpledet</a></h3><p>⭐ 2.9K · <a href="https://github.com/TuSimple/simpledet">:octocat: Code</a></p><p>图森开源的simpledet目标检测工具</p><p><sup>by <a href="https://github.com/TuSimple">@TuSimple</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Tencent/ObjectDetection-OneStageDet"><img width="256" height="144" src="./screenshots/ObjectDetection-OneStageDet.png"></a><br><h3><a href="https://github.com/Tencent/ObjectDetection-OneStageDet">ObjectDetection-OneStageDet</a></h3><p>⭐ 1.9K · <a href="https://github.com/Tencent/ObjectDetection-OneStageDet">:octocat: Code</a></p><p>腾讯实现的单阶段目标检测框架</p><p><sup>by <a href="https://github.com/Tencent">@Tencent</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmtracking"><img width="256" height="144" src="./screenshots/open-mmlab-mmtracking.gif"></a><br><h3><a href="https://github.com/open-mmlab/mmtracking">open-mmlab-mmtracking</a></h3><p>⭐ 1.6K · <a href="https://github.com/open-mmlab/mmtracking">:octocat: Code</a></p><p>paddlepaddle目标检测套件</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr></table>
 
 <br>
 
 ## 图像分割
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/mrgloom/awesome-semantic-segmentation"><img width="256" height="144" src="./screenshots/awesome-semantic-segmentation.jpeg"></a><br><h3><a href="https://github.com/mrgloom/awesome-semantic-segmentation">awesome-semantic-segmentation</a></h3><p>⭐ 8.6K · <a href="https://github.com/mrgloom/awesome-semantic-segmentation">:octocat: Code</a></p><p>awesome-semantic-segmentation</p><p><sup>by <a href="https://github.com/mrgloom">@mrgloom</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleSeg"><img width="256" height="144" src="./screenshots/PaddleSeg.gif"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleSeg">PaddleSeg</a></h3><p>⭐ 2.7K · <a href="https://github.com/PaddlePaddle/PaddleSeg">:octocat: Code</a></p><p>PaddlePaddle PaddleSeg</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmsegmentation"><img width="256" height="144" src="./screenshots/open-mmlab-mmsegmentation.png"></a><br><h3><a href="https://github.com/open-mmlab/mmsegmentation">openmmlab-mmsegmentation</a></h3><p>⭐ 2.4K · <a href="https://github.com/open-mmlab/mmsegmentation">:octocat: Code</a></p><p>openmmlab-mmsegmentation</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/divamgupta/image-segmentation-keras"><img width="256" height="144" src="./screenshots/image-segmentation-keras.png"></a><br><h3><a href="https://github.com/divamgupta/image-segmentation-keras">image-segmentation-keras</a></h3><p>⭐ 2.3K · <a href="https://github.com/divamgupta/image-segmentation-keras">:octocat: Code</a></p><p>divamgupta image-segmentation-keras</p><p><sup>by <a href="https://github.com/divamgupta">@divamgupta</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/LeeJunHyun/Image_Segmentation"><img width="256" height="144" src="./screenshots/LeeJunHyun-Image_Segmentation.jpeg"></a><br><h3><a href="https://github.com/LeeJunHyun/Image_Segmentation">Image_Segmentation</a></h3><p>⭐ 1.6K · <a href="https://github.com/LeeJunHyun/Image_Segmentation">:octocat: Code</a></p><p>LeeJunHyun Image_Segmentation</p><p><sup>by <a href="https://github.com/LeeJunHyun">@LeeJunHyun</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit"><img width="256" height="144" src="./screenshots/medicaldetectiontoolkit.png"></a><br><h3><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">medical-detection-toolkit</a></h3><p>⭐ 1K · <a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">:octocat: Code</a></p><p>MIC-DKFZ medicaldetectiontoolkit</p><p><sup>by <a href="https://github.com/MIC-DKFZ">@MIC-DKFZ</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/black0017/MedicalZooPytorch"><img width="256" height="144" src="./screenshots/MedicalZooPytorch.png"></a><br><h3><a href="https://github.com/black0017/MedicalZooPytorch">MedicalZooPytorch</a></h3><p>⭐ 760 · <a href="https://github.com/black0017/MedicalZooPytorch">:octocat: Code</a></p><p>black0017-MedicalZooPytorch</p><p><sup>by <a href="https://github.com/black0017">@black0017</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/warmspringwinds/pytorch-segmentation-detection"><img width="256" height="144" src="./screenshots/pytorch-segmentation-detection.png"></a><br><h3><a href="https://github.com/warmspringwinds/pytorch-segmentation-detection">pytorch-segmentation-detection</a></h3><p>⭐ 710 · <a href="https://github.com/warmspringwinds/pytorch-segmentation-detection">:octocat: Code</a></p><p>pytorch-segmentation-detection</p><p><sup>by <a href="https://github.com/warmspringwinds">@warmspringwinds</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/mrgloom/awesome-semantic-segmentation"><img width="256" height="144" src="./screenshots/awesome-semantic-segmentation.jpeg"></a><br><h3><a href="https://github.com/mrgloom/awesome-semantic-segmentation">awesome-semantic-segmentation</a></h3><p>⭐ 8.6K · <a href="https://github.com/mrgloom/awesome-semantic-segmentation">:octocat: Code</a></p><p>语义分割资料大全</p><p><sup>by <a href="https://github.com/mrgloom">@mrgloom</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleSeg"><img width="256" height="144" src="./screenshots/PaddleSeg.gif"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleSeg">PaddleSeg</a></h3><p>⭐ 2.7K · <a href="https://github.com/PaddlePaddle/PaddleSeg">:octocat: Code</a></p><p>百度基于PaddlePaddle实现的图像分割工具库</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/open-mmlab/mmsegmentation"><img width="256" height="144" src="./screenshots/open-mmlab-mmsegmentation.png"></a><br><h3><a href="https://github.com/open-mmlab/mmsegmentation">openmmlab-mmsegmentation</a></h3><p>⭐ 2.4K · <a href="https://github.com/open-mmlab/mmsegmentation">:octocat: Code</a></p><p>OpenMMLab实现的语义分割工具库</p><p><sup>by <a href="https://github.com/open-mmlab">@open-mmlab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/divamgupta/image-segmentation-keras"><img width="256" height="144" src="./screenshots/image-segmentation-keras.png"></a><br><h3><a href="https://github.com/divamgupta/image-segmentation-keras">image-segmentation-keras</a></h3><p>⭐ 2.3K · <a href="https://github.com/divamgupta/image-segmentation-keras">:octocat: Code</a></p><p>基于keras实现的图像分割模型集合</p><p><sup>by <a href="https://github.com/divamgupta">@divamgupta</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/LeeJunHyun/Image_Segmentation"><img width="256" height="144" src="./screenshots/LeeJunHyun-Image_Segmentation.jpeg"></a><br><h3><a href="https://github.com/LeeJunHyun/Image_Segmentation">Image_Segmentation</a></h3><p>⭐ 1.6K · <a href="https://github.com/LeeJunHyun/Image_Segmentation">:octocat: Code</a></p><p>基于pytorch实现的图像分割模型集合</p><p><sup>by <a href="https://github.com/LeeJunHyun">@LeeJunHyun</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit"><img width="256" height="144" src="./screenshots/medicaldetectiontoolkit.png"></a><br><h3><a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">medical-detection-toolkit</a></h3><p>⭐ 1K · <a href="https://github.com/MIC-DKFZ/medicaldetectiontoolkit">:octocat: Code</a></p><p>医疗数据目标检测与语义分割工具库</p><p><sup>by <a href="https://github.com/MIC-DKFZ">@MIC-DKFZ</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/black0017/MedicalZooPytorch"><img width="256" height="144" src="./screenshots/MedicalZooPytorch.png"></a><br><h3><a href="https://github.com/black0017/MedicalZooPytorch">MedicalZooPytorch</a></h3><p>⭐ 760 · <a href="https://github.com/black0017/MedicalZooPytorch">:octocat: Code</a></p><p>pytorch实现的医疗影像数据图像检测分割模型大全</p><p><sup>by <a href="https://github.com/black0017">@black0017</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/warmspringwinds/pytorch-segmentation-detection"><img width="256" height="144" src="./screenshots/pytorch-segmentation-detection.png"></a><br><h3><a href="https://github.com/warmspringwinds/pytorch-segmentation-detection">pytorch-segmentation-detection</a></h3><p>⭐ 710 · <a href="https://github.com/warmspringwinds/pytorch-segmentation-detection">:octocat: Code</a></p><p>基于pytorch实现的检测与分割代码</p><p><sup>by <a href="https://github.com/warmspringwinds">@warmspringwinds</a></sup></p></td></tr></table>
 
 <br>
 
 ## OCR文字识别
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/tesseract-ocr/tesseract"><img width="256" height="144" src="./screenshots/tesseract.png"></a><br><h3><a href="https://github.com/tesseract-ocr/tesseract">tesseract</a></h3><p>⭐ 42K · <a href="https://github.com/tesseract-ocr/tesseract">:octocat: Code</a></p><p>tesseract-ocr-tesseract</p><p><sup>by <a href="https://github.com/tesseract-ocr">@tesseract-ocr</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleOCR"><img width="256" height="144" src="./screenshots/PaddleOCR.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleOCR">PaddleOCR</a></h3><p>⭐ 17K · <a href="https://github.com/PaddlePaddle/PaddleOCR">:octocat: Code</a></p><p>PaddlePaddle PaddleOCR</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/JaidedAI/EasyOCR"><img width="256" height="144" src="./screenshots/EasyOCR.png"></a><br><h3><a href="https://github.com/JaidedAI/EasyOCR">EasyOCR</a></h3><p>⭐ 13K · <a href="https://github.com/JaidedAI/EasyOCR">:octocat: Code</a></p><p>JaidedAI EasyOCR</p><p><sup>by <a href="https://github.com/JaidedAI">@JaidedAI</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/DayBreak-u/chineseocr_lite"><img width="256" height="144" src="./screenshots/chineseocr_lite.png"></a><br><h3><a href="https://github.com/DayBreak-u/chineseocr_lite">chineseocr_lite</a></h3><p>⭐ 7.9K · <a href="https://github.com/DayBreak-u/chineseocr_lite">:octocat: Code</a></p><p>DayBreak-u chineseocr_lite</p><p><sup>by <a href="https://github.com/DayBreak-u">@DayBreak-u</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/miaomiaosoft/PandaOCR"><img width="256" height="144" src="./screenshots/PandaOCR.png"></a><br><h3><a href="https://github.com/miaomiaosoft/PandaOCR">PandaOCR</a></h3><p>⭐ 3.8K · <a href="https://github.com/miaomiaosoft/PandaOCR">:octocat: Code</a></p><p>miaomiaosoft PandaOCR</p><p><sup>by <a href="https://github.com/miaomiaosoft">@miaomiaosoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/clovaai/deep-text-recognition-benchmark"><img width="256" height="144" src="./screenshots/chinese_ocr.jpeg"></a><br><h3><a href="https://github.com/clovaai/deep-text-recognition-benchmark">deep-text-recognition-benchmark</a></h3><p>⭐ 2.6K · <a href="https://github.com/clovaai/deep-text-recognition-benchmark">:octocat: Code</a></p><p>clovaai deep-text-recognition-benchmark</p><p><sup>by <a href="https://github.com/clovaai">@clovaai</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xiaofengShi/CHINESE-OCR"><img width="256" height="144" src="./screenshots/CHINESE-OCR.png"></a><br><h3><a href="https://github.com/xiaofengShi/CHINESE-OCR">CHINESE-OCR</a></h3><p>⭐ 2.6K · <a href="https://github.com/xiaofengShi/CHINESE-OCR">:octocat: Code</a></p><p>xiaofengShi CHINESE-OCR</p><p><sup>by <a href="https://github.com/xiaofengShi">@xiaofengShi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/YCG09/chinese_ocr"><img width="256" height="144" src="./screenshots/chinese_ocr.png"></a><br><h3><a href="https://github.com/YCG09/chinese_ocr">chinese_ocr</a></h3><p>⭐ 2.4K · <a href="https://github.com/YCG09/chinese_ocr">:octocat: Code</a></p><p>YCG09 chinese_ocr</p><p><sup>by <a href="https://github.com/YCG09">@YCG09</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/ypwhs/captcha_break"><img width="256" height="144" src="./screenshots/captcha_break.png"></a><br><h3><a href="https://github.com/ypwhs/captcha_break">captcha_break</a></h3><p>⭐ 2.2K · <a href="https://github.com/ypwhs/captcha_break">:octocat: Code</a></p><p>ypwhs captcha_break</p><p><sup>by <a href="https://github.com/ypwhs">@ypwhs</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ctripcorp/C-OCR"><img width="256" height="144" src="./screenshots/C-OCR.png"></a><br><h3><a href="https://github.com/ctripcorp/C-OCR">ctrip-OCR</a></h3><p>⭐ 2.2K · <a href="https://github.com/ctripcorp/C-OCR">:octocat: Code</a></p><p>ctripcorp C-OCR</p><p><sup>by <a href="https://github.com/ctripcorp">@ctripcorp</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/kerlomz/captcha_trainer"><img width="256" height="144" src="./screenshots/captcha_trainer.png"></a><br><h3><a href="https://github.com/kerlomz/captcha_trainer">captcha_trainer</a></h3><p>⭐ 2.1K · <a href="https://github.com/kerlomz/captcha_trainer">:octocat: Code</a></p><p>kerlomz captcha_trainer</p><p><sup>by <a href="https://github.com/kerlomz">@kerlomz</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/tesseract-ocr/tesseract"><img width="256" height="144" src="./screenshots/tesseract.png"></a><br><h3><a href="https://github.com/tesseract-ocr/tesseract">tesseract</a></h3><p>⭐ 42K · <a href="https://github.com/tesseract-ocr/tesseract">:octocat: Code</a></p><p>tesseract ocr文字识别套件</p><p><sup>by <a href="https://github.com/tesseract-ocr">@tesseract-ocr</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleOCR"><img width="256" height="144" src="./screenshots/PaddleOCR.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleOCR">PaddleOCR</a></h3><p>⭐ 17K · <a href="https://github.com/PaddlePaddle/PaddleOCR">:octocat: Code</a></p><p>paddlepaddle OCR光学文字识别套件</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/JaidedAI/EasyOCR"><img width="256" height="144" src="./screenshots/EasyOCR.png"></a><br><h3><a href="https://github.com/JaidedAI/EasyOCR">EasyOCR</a></h3><p>⭐ 13K · <a href="https://github.com/JaidedAI/EasyOCR">:octocat: Code</a></p><p>EasyOCR多语种图片文字识别</p><p><sup>by <a href="https://github.com/JaidedAI">@JaidedAI</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/DayBreak-u/chineseocr_lite"><img width="256" height="144" src="./screenshots/chineseocr_lite.png"></a><br><h3><a href="https://github.com/DayBreak-u/chineseocr_lite">chineseocr_lite</a></h3><p>⭐ 7.9K · <a href="https://github.com/DayBreak-u/chineseocr_lite">:octocat: Code</a></p><p>中文自然场景文字检测及识别</p><p><sup>by <a href="https://github.com/DayBreak-u">@DayBreak-u</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/miaomiaosoft/PandaOCR"><img width="256" height="144" src="./screenshots/PandaOCR.png"></a><br><h3><a href="https://github.com/miaomiaosoft/PandaOCR">PandaOCR</a></h3><p>⭐ 3.8K · <a href="https://github.com/miaomiaosoft/PandaOCR">:octocat: Code</a></p><p>多功能OCR图文识别</p><p><sup>by <a href="https://github.com/miaomiaosoft">@miaomiaosoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/clovaai/deep-text-recognition-benchmark"><img width="256" height="144" src="./screenshots/chinese_ocr.jpeg"></a><br><h3><a href="https://github.com/clovaai/deep-text-recognition-benchmark">deep-text-recognition-benchmark</a></h3><p>⭐ 2.6K · <a href="https://github.com/clovaai/deep-text-recognition-benchmark">:octocat: Code</a></p><p>深度学习OCR文本识别</p><p><sup>by <a href="https://github.com/clovaai">@clovaai</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xiaofengShi/CHINESE-OCR"><img width="256" height="144" src="./screenshots/CHINESE-OCR.png"></a><br><h3><a href="https://github.com/xiaofengShi/CHINESE-OCR">CHINESE-OCR</a></h3><p>⭐ 2.6K · <a href="https://github.com/xiaofengShi/CHINESE-OCR">:octocat: Code</a></p><p>端到端自然场景的文字检测与识别</p><p><sup>by <a href="https://github.com/xiaofengShi">@xiaofengShi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/YCG09/chinese_ocr"><img width="256" height="144" src="./screenshots/chinese_ocr.png"></a><br><h3><a href="https://github.com/YCG09/chinese_ocr">chinese_ocr</a></h3><p>⭐ 2.4K · <a href="https://github.com/YCG09/chinese_ocr">:octocat: Code</a></p><p>中文OCR</p><p><sup>by <a href="https://github.com/YCG09">@YCG09</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/ypwhs/captcha_break"><img width="256" height="144" src="./screenshots/captcha_break.png"></a><br><h3><a href="https://github.com/ypwhs/captcha_break">captcha_break</a></h3><p>⭐ 2.2K · <a href="https://github.com/ypwhs/captcha_break">:octocat: Code</a></p><p>验证码识别</p><p><sup>by <a href="https://github.com/ypwhs">@ypwhs</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ctripcorp/C-OCR"><img width="256" height="144" src="./screenshots/C-OCR.png"></a><br><h3><a href="https://github.com/ctripcorp/C-OCR">ctrip-OCR</a></h3><p>⭐ 2.2K · <a href="https://github.com/ctripcorp/C-OCR">:octocat: Code</a></p><p>携程自研的OCR项目</p><p><sup>by <a href="https://github.com/ctripcorp">@ctripcorp</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/kerlomz/captcha_trainer"><img width="256" height="144" src="./screenshots/captcha_trainer.png"></a><br><h3><a href="https://github.com/kerlomz/captcha_trainer">captcha_trainer</a></h3><p>⭐ 2.1K · <a href="https://github.com/kerlomz/captcha_trainer">:octocat: Code</a></p><p>验证码识别训练与部署</p><p><sup>by <a href="https://github.com/kerlomz">@kerlomz</a></sup></p></td></tr></table>
 
 <br>
 
 ## 图文转换ImageCaptioning与视觉问答VQA
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/mmf"><img width="256" height="144" src="./screenshots/facebookresearch-mmf.png"></a><br><h3><a href="https://github.com/facebookresearch/mmf">facebookresearch-mmf</a></h3><p>⭐ 4.6K · <a href="https://github.com/facebookresearch/mmf">:octocat: Code</a></p><p>facebookresearch mmf</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/peteanderson80/bottom-up-attention"><img width="256" height="144" src="./screenshots/bottom-up-attention.jpeg"></a><br><h3><a href="https://github.com/peteanderson80/bottom-up-attention">bottom-up-attention</a></h3><p>⭐ 1.1K · <a href="https://github.com/peteanderson80/bottom-up-attention">:octocat: Code</a></p><p>peteanderson80 bottom-up-attention</p><p><sup>by <a href="https://github.com/peteanderson80">@peteanderson80</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/zhjohnchan/awesome-image-captioning"><img width="256" height="144" src="./screenshots/awesome-image-captioning.png"></a><br><h3><a href="https://github.com/zhjohnchan/awesome-image-captioning">awesome-image-captioning</a></h3><p>⭐ 740 · <a href="https://github.com/zhjohnchan/awesome-image-captioning">:octocat: Code</a></p><p>zhjohnchan awesome-image-captioning</p><p><sup>by <a href="https://github.com/zhjohnchan">@zhjohnchan</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/Oscar"><img width="256" height="144" src="./screenshots/microsoft-Oscar.png"></a><br><h3><a href="https://github.com/microsoft/Oscar">microsoft-Oscar</a></h3><p>⭐ 670 · <a href="https://github.com/microsoft/Oscar">:octocat: Code</a></p><p>microsoft Oscar</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/jokieleung/awesome-visual-question-answering"><img width="256" height="144" src="./screenshots/awesome-visual-question-answering.jpeg"></a><br><h3><a href="https://github.com/jokieleung/awesome-visual-question-answering">awesome-visual-question-answering</a></h3><p>⭐ 370 · <a href="https://github.com/jokieleung/awesome-visual-question-answering">:octocat: Code</a></p><p>jokieleung awesome-visual-question-answering</p><p><sup>by <a href="https://github.com/jokieleung">@jokieleung</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/aimagelab/meshed-memory-transformer"><img width="256" height="144" src="./screenshots/meshed-memory-transformer.png"></a><br><h3><a href="https://github.com/aimagelab/meshed-memory-transformer">meshed-memory-transformer</a></h3><p>⭐ 320 · <a href="https://github.com/aimagelab/meshed-memory-transformer">:octocat: Code</a></p><p>aimagelab meshed-memory-transformer</p><p><sup>by <a href="https://github.com/aimagelab">@aimagelab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/google-research-datasets/conceptual-captions"><img width="256" height="144" src="./screenshots/conceptual-captions.png"></a><br><h3><a href="https://github.com/google-research-datasets/conceptual-captions">conceptual-captions</a></h3><p>⭐ 300 · <a href="https://github.com/google-research-datasets/conceptual-captions">:octocat: Code</a></p><p>google-research-datasets conceptual-captions</p><p><sup>by <a href="https://github.com/google-research-datasets">@google-research-datasets</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/forence/Awesome-Visual-Captioning"><img width="256" height="144" src="./screenshots/Awesome-Visual-Captioning.png"></a><br><h3><a href="https://github.com/forence/Awesome-Visual-Captioning">Awesome-Visual-Captioning</a></h3><p>⭐ 260 · <a href="https://github.com/forence/Awesome-Visual-Captioning">:octocat: Code</a></p><p>forence Awesome-Visual-Captioning</p><p><sup>by <a href="https://github.com/forence">@forence</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/MILVLG/openvqa"><img width="256" height="144" src="./screenshots/MILVLG-openvqa.png"></a><br><h3><a href="https://github.com/MILVLG/openvqa">MILVLG-openvqa</a></h3><p>⭐ 230 · <a href="https://github.com/MILVLG/openvqa">:octocat: Code</a></p><p>MILVLG openvqa</p><p><sup>by <a href="https://github.com/MILVLG">@MILVLG</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/JDAI-CV/image-captioning"><img width="256" height="144" src="./screenshots/JDAI-CV-image-captioning.png"></a><br><h3><a href="https://github.com/JDAI-CV/image-captioning">image-captioning</a></h3><p>⭐ 200 · <a href="https://github.com/JDAI-CV/image-captioning">:octocat: Code</a></p><p>JDAI-CV image-captioning</p><p><sup>by <a href="https://github.com/JDAI-CV">@JDAI-CV</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/dabasajay/Image-Caption-Generator"><img width="256" height="144" src="./screenshots/Image-Caption-Generator.jpeg"></a><br><h3><a href="https://github.com/dabasajay/Image-Caption-Generator">Image-Caption-Generator</a></h3><p>⭐ 150 · <a href="https://github.com/dabasajay/Image-Caption-Generator">:octocat: Code</a></p><p>dabasajay Image-Caption-Generator</p><p><sup>by <a href="https://github.com/dabasajay">@dabasajay</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/mmf"><img width="256" height="144" src="./screenshots/facebookresearch-mmf.png"></a><br><h3><a href="https://github.com/facebookresearch/mmf">facebookresearch-mmf</a></h3><p>⭐ 4.6K · <a href="https://github.com/facebookresearch/mmf">:octocat: Code</a></p><p>Facebook用于多模态(图像+文本)研究的工具库</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/peteanderson80/bottom-up-attention"><img width="256" height="144" src="./screenshots/bottom-up-attention.jpeg"></a><br><h3><a href="https://github.com/peteanderson80/bottom-up-attention">bottom-up-attention</a></h3><p>⭐ 1.1K · <a href="https://github.com/peteanderson80/bottom-up-attention">:octocat: Code</a></p><p>自底向上的注意模型用于图像文本学习</p><p><sup>by <a href="https://github.com/peteanderson80">@peteanderson80</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/zhjohnchan/awesome-image-captioning"><img width="256" height="144" src="./screenshots/awesome-image-captioning.png"></a><br><h3><a href="https://github.com/zhjohnchan/awesome-image-captioning">awesome-image-captioning</a></h3><p>⭐ 740 · <a href="https://github.com/zhjohnchan/awesome-image-captioning">:octocat: Code</a></p><p>awesome图文转换资料大全</p><p><sup>by <a href="https://github.com/zhjohnchan">@zhjohnchan</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/Oscar"><img width="256" height="144" src="./screenshots/microsoft-Oscar.png"></a><br><h3><a href="https://github.com/microsoft/Oscar">microsoft-Oscar</a></h3><p>⭐ 670 · <a href="https://github.com/microsoft/Oscar">:octocat: Code</a></p><p>微软视觉&文本任务工具库</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/jokieleung/awesome-visual-question-answering"><img width="256" height="144" src="./screenshots/awesome-visual-question-answering.jpeg"></a><br><h3><a href="https://github.com/jokieleung/awesome-visual-question-answering">awesome-visual-question-answering</a></h3><p>⭐ 370 · <a href="https://github.com/jokieleung/awesome-visual-question-answering">:octocat: Code</a></p><p>awesome视觉问答资料大全</p><p><sup>by <a href="https://github.com/jokieleung">@jokieleung</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/aimagelab/meshed-memory-transformer"><img width="256" height="144" src="./screenshots/meshed-memory-transformer.png"></a><br><h3><a href="https://github.com/aimagelab/meshed-memory-transformer">meshed-memory-transformer</a></h3><p>⭐ 320 · <a href="https://github.com/aimagelab/meshed-memory-transformer">:octocat: Code</a></p><p>CVPR2020图文转换论文实现</p><p><sup>by <a href="https://github.com/aimagelab">@aimagelab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/google-research-datasets/conceptual-captions"><img width="256" height="144" src="./screenshots/conceptual-captions.png"></a><br><h3><a href="https://github.com/google-research-datasets/conceptual-captions">conceptual-captions</a></h3><p>⭐ 300 · <a href="https://github.com/google-research-datasets/conceptual-captions">:octocat: Code</a></p><p>google research提供的图文数据集</p><p><sup>by <a href="https://github.com/google-research-datasets">@google-research-datasets</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/forence/Awesome-Visual-Captioning"><img width="256" height="144" src="./screenshots/Awesome-Visual-Captioning.png"></a><br><h3><a href="https://github.com/forence/Awesome-Visual-Captioning">Awesome-Visual-Captioning</a></h3><p>⭐ 260 · <a href="https://github.com/forence/Awesome-Visual-Captioning">:octocat: Code</a></p><p>awesome视觉文本转换资料大全</p><p><sup>by <a href="https://github.com/forence">@forence</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/MILVLG/openvqa"><img width="256" height="144" src="./screenshots/MILVLG-openvqa.png"></a><br><h3><a href="https://github.com/MILVLG/openvqa">MILVLG-openvqa</a></h3><p>⭐ 230 · <a href="https://github.com/MILVLG/openvqa">:octocat: Code</a></p><p>MILVLG实现的VQA研究通用平台</p><p><sup>by <a href="https://github.com/MILVLG">@MILVLG</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/JDAI-CV/image-captioning"><img width="256" height="144" src="./screenshots/JDAI-CV-image-captioning.png"></a><br><h3><a href="https://github.com/JDAI-CV/image-captioning">image-captioning</a></h3><p>⭐ 200 · <a href="https://github.com/JDAI-CV/image-captioning">:octocat: Code</a></p><p>CVPR2020图文转换论文实现</p><p><sup>by <a href="https://github.com/JDAI-CV">@JDAI-CV</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/dabasajay/Image-Caption-Generator"><img width="256" height="144" src="./screenshots/Image-Caption-Generator.jpeg"></a><br><h3><a href="https://github.com/dabasajay/Image-Caption-Generator">Image-Caption-Generator</a></h3><p>⭐ 150 · <a href="https://github.com/dabasajay/Image-Caption-Generator">:octocat: Code</a></p><p>图文转换生成器</p><p><sup>by <a href="https://github.com/dabasajay">@dabasajay</a></sup></p></td></tr></table>
 
 <br>
 
 ## 图图转换ImageTranslation
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix"><img width="256" height="144" src="./screenshots/pytorch-CycleGAN-and-pix2pix.png"></a><br><h3><a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix">pytorch-CycleGAN-and-pix2pix</a></h3><p>⭐ 16K · <a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix">:octocat: Code</a></p><p>junyanz pytorch-CycleGAN-and-pix2pix</p><p><sup>by <a href="https://github.com/junyanz">@junyanz</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/phillipi/pix2pix"><img width="256" height="144" src="./screenshots/pix2pix.jpeg"></a><br><h3><a href="https://github.com/phillipi/pix2pix">pix2pix</a></h3><p>⭐ 8.7K · <a href="https://github.com/phillipi/pix2pix">:octocat: Code</a></p><p>phillipi pix2pix</p><p><sup>by <a href="https://github.com/phillipi">@phillipi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/NVIDIA/vid2vid"><img width="256" height="144" src="./screenshots/vid2vid.gif"></a><br><h3><a href="https://github.com/NVIDIA/vid2vid">vid2vid</a></h3><p>⭐ 7.8K · <a href="https://github.com/NVIDIA/vid2vid">:octocat: Code</a></p><p>NVIDIA vid2vid</p><p><sup>by <a href="https://github.com/NVIDIA">@NVIDIA</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/taki0112/UGATIT"><img width="256" height="144" src="./screenshots/UGATIT.png"></a><br><h3><a href="https://github.com/taki0112/UGATIT">UGATIT</a></h3><p>⭐ 6K · <a href="https://github.com/taki0112/UGATIT">:octocat: Code</a></p><p>taki0112 UGATIT</p><p><sup>by <a href="https://github.com/taki0112">@taki0112</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/NVlabs/MUNIT"><img width="256" height="144" src="./screenshots/NVlabs-MUNIT.jpeg"></a><br><h3><a href="https://github.com/NVlabs/MUNIT">NVlabs-MUNIT</a></h3><p>⭐ 2.4K · <a href="https://github.com/NVlabs/MUNIT">:octocat: Code</a></p><p>NVlabs MUNIT</p><p><sup>by <a href="https://github.com/NVlabs">@NVlabs</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/znxlwm/UGATIT-pytorch"><img width="256" height="144" src="./screenshots/UGATIT-pytorch.jpeg"></a><br><h3><a href="https://github.com/znxlwm/UGATIT-pytorch">UGATIT-pytorch</a></h3><p>⭐ 2.2K · <a href="https://github.com/znxlwm/UGATIT-pytorch">:octocat: Code</a></p><p>znxlwm UGATIT-pytorch</p><p><sup>by <a href="https://github.com/znxlwm">@znxlwm</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/eladrich/pixel2style2pixel"><img width="256" height="144" src="./screenshots/pixel2style2pixel.png"></a><br><h3><a href="https://github.com/eladrich/pixel2style2pixel">pixel2style2pixel</a></h3><p>⭐ 2K · <a href="https://github.com/eladrich/pixel2style2pixel">:octocat: Code</a></p><p>eladrich pixel2style2pixel</p><p><sup>by <a href="https://github.com/eladrich">@eladrich</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/sangwoomo/instagan"><img width="256" height="144" src="./screenshots/instagan.png"></a><br><h3><a href="https://github.com/sangwoomo/instagan">instagan</a></h3><p>⭐ 780 · <a href="https://github.com/sangwoomo/instagan">:octocat: Code</a></p><p>sangwoomo instagan</p><p><sup>by <a href="https://github.com/sangwoomo">@sangwoomo</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/HsinYingLee/DRIT"><img width="256" height="144" src="./screenshots/DRIT.jpeg"></a><br><h3><a href="https://github.com/HsinYingLee/DRIT">DRIT</a></h3><p>⭐ 720 · <a href="https://github.com/HsinYingLee/DRIT">:octocat: Code</a></p><p>HsinYingLee DRIT</p><p><sup>by <a href="https://github.com/HsinYingLee">@HsinYingLee</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix"><img width="256" height="144" src="./screenshots/pytorch-CycleGAN-and-pix2pix.png"></a><br><h3><a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix">pytorch-CycleGAN-and-pix2pix</a></h3><p>⭐ 16K · <a href="https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix">:octocat: Code</a></p><p>pytorch实现的CycleGAN和pix2pix图图转换</p><p><sup>by <a href="https://github.com/junyanz">@junyanz</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/phillipi/pix2pix"><img width="256" height="144" src="./screenshots/pix2pix.jpeg"></a><br><h3><a href="https://github.com/phillipi/pix2pix">pix2pix</a></h3><p>⭐ 8.7K · <a href="https://github.com/phillipi/pix2pix">:octocat: Code</a></p><p>pix2pix图图转换实现</p><p><sup>by <a href="https://github.com/phillipi">@phillipi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/NVIDIA/vid2vid"><img width="256" height="144" src="./screenshots/vid2vid.gif"></a><br><h3><a href="https://github.com/NVIDIA/vid2vid">vid2vid</a></h3><p>⭐ 7.8K · <a href="https://github.com/NVIDIA/vid2vid">:octocat: Code</a></p><p>英伟达实现的视频到视频转换</p><p><sup>by <a href="https://github.com/NVIDIA">@NVIDIA</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/taki0112/UGATIT"><img width="256" height="144" src="./screenshots/UGATIT.png"></a><br><h3><a href="https://github.com/taki0112/UGATIT">UGATIT</a></h3><p>⭐ 6K · <a href="https://github.com/taki0112/UGATIT">:octocat: Code</a></p><p>ICLR2020无监督GAN图图转换论文实现</p><p><sup>by <a href="https://github.com/taki0112">@taki0112</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/NVlabs/MUNIT"><img width="256" height="144" src="./screenshots/NVlabs-MUNIT.jpeg"></a><br><h3><a href="https://github.com/NVlabs/MUNIT">NVlabs-MUNIT</a></h3><p>⭐ 2.4K · <a href="https://github.com/NVlabs/MUNIT">:octocat: Code</a></p><p>英伟达lab多模态无监督图图转换实现</p><p><sup>by <a href="https://github.com/NVlabs">@NVlabs</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/znxlwm/UGATIT-pytorch"><img width="256" height="144" src="./screenshots/UGATIT-pytorch.jpeg"></a><br><h3><a href="https://github.com/znxlwm/UGATIT-pytorch">UGATIT-pytorch</a></h3><p>⭐ 2.2K · <a href="https://github.com/znxlwm/UGATIT-pytorch">:octocat: Code</a></p><p>ICLR2020无监督GAN图图转换pytorch实现</p><p><sup>by <a href="https://github.com/znxlwm">@znxlwm</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/eladrich/pixel2style2pixel"><img width="256" height="144" src="./screenshots/pixel2style2pixel.png"></a><br><h3><a href="https://github.com/eladrich/pixel2style2pixel">pixel2style2pixel</a></h3><p>⭐ 2K · <a href="https://github.com/eladrich/pixel2style2pixel">:octocat: Code</a></p><p>CVPR2021图图转换论文实现</p><p><sup>by <a href="https://github.com/eladrich">@eladrich</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/sangwoomo/instagan"><img width="256" height="144" src="./screenshots/instagan.png"></a><br><h3><a href="https://github.com/sangwoomo/instagan">instagan</a></h3><p>⭐ 780 · <a href="https://github.com/sangwoomo/instagan">:octocat: Code</a></p><p>InstaGAN图图转换实现</p><p><sup>by <a href="https://github.com/sangwoomo">@sangwoomo</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/HsinYingLee/DRIT"><img width="256" height="144" src="./screenshots/DRIT.jpeg"></a><br><h3><a href="https://github.com/HsinYingLee/DRIT">DRIT</a></h3><p>⭐ 720 · <a href="https://github.com/HsinYingLee/DRIT">:octocat: Code</a></p><p>DRIT++图图转换实现</p><p><sup>by <a href="https://github.com/HsinYingLee">@HsinYingLee</a></sup></p></td></tr></table>
 
 <br>
 
 ## 图像超分辨率
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/nagadomi/waifu2x"><img width="256" height="144" src="./screenshots/waifu2x.jpeg"></a><br><h3><a href="https://github.com/nagadomi/waifu2x">waifu2x</a></h3><p>⭐ 22K · <a href="https://github.com/nagadomi/waifu2x">:octocat: Code</a></p><p>nagadomi waifu2x</p><p><sup>by <a href="https://github.com/nagadomi">@nagadomi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/david-gpu/srez"><img width="256" height="144" src="./screenshots/srez.jpeg"></a><br><h3><a href="https://github.com/david-gpu/srez">srez</a></h3><p>⭐ 5.3K · <a href="https://github.com/david-gpu/srez">:octocat: Code</a></p><p>david-gpu srez</p><p><sup>by <a href="https://github.com/david-gpu">@david-gpu</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/xinntao/ESRGAN"><img width="256" height="144" src="./screenshots/ESRGAN.png"></a><br><h3><a href="https://github.com/xinntao/ESRGAN">ESRGAN</a></h3><p>⭐ 3.8K · <a href="https://github.com/xinntao/ESRGAN">:octocat: Code</a></p><p>xinntao ESRGAN</p><p><sup>by <a href="https://github.com/xinntao">@xinntao</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/idealo/image-super-resolution"><img width="256" height="144" src="./screenshots/image-super-resolution.jpeg"></a><br><h3><a href="https://github.com/idealo/image-super-resolution">image-super-resolution</a></h3><p>⭐ 3.1K · <a href="https://github.com/idealo/image-super-resolution">:octocat: Code</a></p><p>idealo image-super-resolution</p><p><sup>by <a href="https://github.com/idealo">@idealo</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/tensorlayer/srgan"><img width="256" height="144" src="./screenshots/srgan.jpeg"></a><br><h3><a href="https://github.com/tensorlayer/srgan">srgan</a></h3><p>⭐ 2.6K · <a href="https://github.com/tensorlayer/srgan">:octocat: Code</a></p><p>tensorlayer srgan</p><p><sup>by <a href="https://github.com/tensorlayer">@tensorlayer</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/xinntao/BasicSR"><img width="256" height="144" src="./screenshots/BasicSR.png"></a><br><h3><a href="https://github.com/xinntao/BasicSR">BasicSR</a></h3><p>⭐ 2.4K · <a href="https://github.com/xinntao/BasicSR">:octocat: Code</a></p><p>xinntao BasicSR</p><p><sup>by <a href="https://github.com/xinntao">@xinntao</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/YapengTian/Single-Image-Super-Resolution"><img width="256" height="144" src="./screenshots/Single-Image-Super-Resolution.png"></a><br><h3><a href="https://github.com/YapengTian/Single-Image-Super-Resolution">Single-Image-Super-Resolution</a></h3><p>⭐ 1.6K · <a href="https://github.com/YapengTian/Single-Image-Super-Resolution">:octocat: Code</a></p><p>YapengTian Single-Image-Super-Resolution</p><p><sup>by <a href="https://github.com/YapengTian">@YapengTian</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/LoSealL/VideoSuperResolution"><img width="256" height="144" src="./screenshots/VideoSuperResolution.jpeg"></a><br><h3><a href="https://github.com/LoSealL/VideoSuperResolution">VideoSuperResolution</a></h3><p>⭐ 1.3K · <a href="https://github.com/LoSealL/VideoSuperResolution">:octocat: Code</a></p><p>LoSealL VideoSuperResolution</p><p><sup>by <a href="https://github.com/LoSealL">@LoSealL</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/krasserm/super-resolution"><img width="256" height="144" src="./screenshots/super-resolution.jpeg"></a><br><h3><a href="https://github.com/krasserm/super-resolution">super-resolution</a></h3><p>⭐ 1.1K · <a href="https://github.com/krasserm/super-resolution">:octocat: Code</a></p><p>krasserm super-resolution</p><p><sup>by <a href="https://github.com/krasserm">@krasserm</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ChaofWang/Awesome-Super-Resolution"><img width="256" height="144" src="./screenshots/Awesome-Super-Resolution.jpeg"></a><br><h3><a href="https://github.com/ChaofWang/Awesome-Super-Resolution">Awesome-Super-Resolution</a></h3><p>⭐ 1.1K · <a href="https://github.com/ChaofWang/Awesome-Super-Resolution">:octocat: Code</a></p><p>ChaofWang Awesome-Super-Resolution</p><p><sup>by <a href="https://github.com/ChaofWang">@ChaofWang</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/nagadomi/waifu2x"><img width="256" height="144" src="./screenshots/waifu2x.jpeg"></a><br><h3><a href="https://github.com/nagadomi/waifu2x">waifu2x</a></h3><p>⭐ 22K · <a href="https://github.com/nagadomi/waifu2x">:octocat: Code</a></p><p>动漫图像超分辨率实现</p><p><sup>by <a href="https://github.com/nagadomi">@nagadomi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/david-gpu/srez"><img width="256" height="144" src="./screenshots/srez.jpeg"></a><br><h3><a href="https://github.com/david-gpu/srez">srez</a></h3><p>⭐ 5.3K · <a href="https://github.com/david-gpu/srez">:octocat: Code</a></p><p>深度学习超分辨率实现</p><p><sup>by <a href="https://github.com/david-gpu">@david-gpu</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/xinntao/ESRGAN"><img width="256" height="144" src="./screenshots/ESRGAN.png"></a><br><h3><a href="https://github.com/xinntao/ESRGAN">ESRGAN</a></h3><p>⭐ 3.8K · <a href="https://github.com/xinntao/ESRGAN">:octocat: Code</a></p><p>ESRGAN超分辨率实现</p><p><sup>by <a href="https://github.com/xinntao">@xinntao</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/idealo/image-super-resolution"><img width="256" height="144" src="./screenshots/image-super-resolution.jpeg"></a><br><h3><a href="https://github.com/idealo/image-super-resolution">image-super-resolution</a></h3><p>⭐ 3.1K · <a href="https://github.com/idealo/image-super-resolution">:octocat: Code</a></p><p>图像超分辨率实现</p><p><sup>by <a href="https://github.com/idealo">@idealo</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/tensorlayer/srgan"><img width="256" height="144" src="./screenshots/srgan.jpeg"></a><br><h3><a href="https://github.com/tensorlayer/srgan">srgan</a></h3><p>⭐ 2.6K · <a href="https://github.com/tensorlayer/srgan">:octocat: Code</a></p><p>srgan超分辨率实现</p><p><sup>by <a href="https://github.com/tensorlayer">@tensorlayer</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/xinntao/BasicSR"><img width="256" height="144" src="./screenshots/BasicSR.png"></a><br><h3><a href="https://github.com/xinntao/BasicSR">BasicSR</a></h3><p>⭐ 2.4K · <a href="https://github.com/xinntao/BasicSR">:octocat: Code</a></p><p>基于 PyTorch 的开源图像视频复原工具箱</p><p><sup>by <a href="https://github.com/xinntao">@xinntao</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/YapengTian/Single-Image-Super-Resolution"><img width="256" height="144" src="./screenshots/Single-Image-Super-Resolution.png"></a><br><h3><a href="https://github.com/YapengTian/Single-Image-Super-Resolution">Single-Image-Super-Resolution</a></h3><p>⭐ 1.6K · <a href="https://github.com/YapengTian/Single-Image-Super-Resolution">:octocat: Code</a></p><p>图像超分辨率资料大全</p><p><sup>by <a href="https://github.com/YapengTian">@YapengTian</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/LoSealL/VideoSuperResolution"><img width="256" height="144" src="./screenshots/VideoSuperResolution.jpeg"></a><br><h3><a href="https://github.com/LoSealL/VideoSuperResolution">VideoSuperResolution</a></h3><p>⭐ 1.3K · <a href="https://github.com/LoSealL/VideoSuperResolution">:octocat: Code</a></p><p>图像视频超精度资料集合</p><p><sup>by <a href="https://github.com/LoSealL">@LoSealL</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/krasserm/super-resolution"><img width="256" height="144" src="./screenshots/super-resolution.jpeg"></a><br><h3><a href="https://github.com/krasserm/super-resolution">super-resolution</a></h3><p>⭐ 1.1K · <a href="https://github.com/krasserm/super-resolution">:octocat: Code</a></p><p>超精度算法实现集合</p><p><sup>by <a href="https://github.com/krasserm">@krasserm</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ChaofWang/Awesome-Super-Resolution"><img width="256" height="144" src="./screenshots/Awesome-Super-Resolution.jpeg"></a><br><h3><a href="https://github.com/ChaofWang/Awesome-Super-Resolution">Awesome-Super-Resolution</a></h3><p>⭐ 1.1K · <a href="https://github.com/ChaofWang/Awesome-Super-Resolution">:octocat: Code</a></p><p>awesome超分辨率资料大全</p><p><sup>by <a href="https://github.com/ChaofWang">@ChaofWang</a></sup></p></td></tr></table>
 
 <br>
 
 ## 人脸检测与识别
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ageitgey/face_recognition"><img width="256" height="144" src="./screenshots/face_recognition.gif"></a><br><h3><a href="https://github.com/ageitgey/face_recognition">face_recognition</a></h3><p>⭐ 42K · <a href="https://github.com/ageitgey/face_recognition">:octocat: Code</a></p><p>ageitgey face_recognition</p><p><sup>by <a href="https://github.com/ageitgey">@ageitgey</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose"><img width="256" height="144" src="./screenshots/openpose.jpeg"></a><br><h3><a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose">openpose</a></h3><p>⭐ 22K · <a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose">:octocat: Code</a></p><p>CMU-Perceptual-Computing-Lab openpose</p><p><sup>by <a href="https://github.com/CMU-Perceptual-Computing-Lab">@CMU-Perceptual-Computing-Lab</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/cmusatyalab/openface"><img width="256" height="144" src="./screenshots/openface.jpeg"></a><br><h3><a href="https://github.com/cmusatyalab/openface">openface</a></h3><p>⭐ 14K · <a href="https://github.com/cmusatyalab/openface">:octocat: Code</a></p><p>cmusatyalab openface</p><p><sup>by <a href="https://github.com/cmusatyalab">@cmusatyalab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/davidsandberg/facenet"><img width="256" height="144" src="./screenshots/facenet.jpeg"></a><br><h3><a href="https://github.com/davidsandberg/facenet">facenet</a></h3><p>⭐ 12K · <a href="https://github.com/davidsandberg/facenet">:octocat: Code</a></p><p>davidsandberg facenet</p><p><sup>by <a href="https://github.com/davidsandberg">@davidsandberg</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/ShiqiYu/libfacedetection"><img width="256" height="144" src="./screenshots/libfacedetection.png"></a><br><h3><a href="https://github.com/ShiqiYu/libfacedetection">libfacedetection</a></h3><p>⭐ 11K · <a href="https://github.com/ShiqiYu/libfacedetection">:octocat: Code</a></p><p>ShiqiYu libfacedetection</p><p><sup>by <a href="https://github.com/ShiqiYu">@ShiqiYu</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB"><img width="256" height="144" src="./screenshots/Ultra-Light-Fast-Generic-Face-Detector-1MB.jpeg"></a><br><h3><a href="https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB">Ultra-Light-Fast-Generic-Face-Detector-1MB</a></h3><p>⭐ 6.1K · <a href="https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB">:octocat: Code</a></p><p>Linzaer Ultra-Light-Fast-Generic-Face-Detector-1MB</p><p><sup>by <a href="https://github.com/Linzaer">@Linzaer</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ChanChiChoi/awesome-Face_Recognition"><img width="256" height="144" src="./screenshots/awesome-Face_Recognition.jpeg"></a><br><h3><a href="https://github.com/ChanChiChoi/awesome-Face_Recognition">awesome-Face_Recognition</a></h3><p>⭐ 3K · <a href="https://github.com/ChanChiChoi/awesome-Face_Recognition">:octocat: Code</a></p><p>ChanChiChoi awesome-Face_Recognition</p><p><sup>by <a href="https://github.com/ChanChiChoi">@ChanChiChoi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/timesler/facenet-pytorch"><img width="256" height="144" src="./screenshots/facenet-pytorch.gif"></a><br><h3><a href="https://github.com/timesler/facenet-pytorch">facenet-pytorch</a></h3><p>⭐ 2.4K · <a href="https://github.com/timesler/facenet-pytorch">:octocat: Code</a></p><p>timesler facenet-pytorch</p><p><sup>by <a href="https://github.com/timesler">@timesler</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/RiweiChen/DeepFace"><img width="256" height="144" src="./screenshots/DeepFace.jpeg"></a><br><h3><a href="https://github.com/RiweiChen/DeepFace">DeepFace</a></h3><p>⭐ 1.5K · <a href="https://github.com/RiweiChen/DeepFace">:octocat: Code</a></p><p>RiweiChen DeepFace</p><p><sup>by <a href="https://github.com/RiweiChen">@RiweiChen</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/dlunion/DBFace"><img width="256" height="144" src="./screenshots/DBFace.png"></a><br><h3><a href="https://github.com/dlunion/DBFace">DBFace</a></h3><p>⭐ 1.2K · <a href="https://github.com/dlunion/DBFace">:octocat: Code</a></p><p>dlunion DBFace</p><p><sup>by <a href="https://github.com/dlunion">@dlunion</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ageitgey/face_recognition"><img width="256" height="144" src="./screenshots/face_recognition.gif"></a><br><h3><a href="https://github.com/ageitgey/face_recognition">face_recognition</a></h3><p>⭐ 42K · <a href="https://github.com/ageitgey/face_recognition">:octocat: Code</a></p><p> 人脸识别实现</p><p><sup>by <a href="https://github.com/ageitgey">@ageitgey</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose"><img width="256" height="144" src="./screenshots/openpose.jpeg"></a><br><h3><a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose">openpose</a></h3><p>⭐ 22K · <a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose">:octocat: Code</a></p><p>CMU openpose工具库</p><p><sup>by <a href="https://github.com/CMU-Perceptual-Computing-Lab">@CMU-Perceptual-Computing-Lab</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/cmusatyalab/openface"><img width="256" height="144" src="./screenshots/openface.jpeg"></a><br><h3><a href="https://github.com/cmusatyalab/openface">openface</a></h3><p>⭐ 14K · <a href="https://github.com/cmusatyalab/openface">:octocat: Code</a></p><p> CMU openface工具库</p><p><sup>by <a href="https://github.com/cmusatyalab">@cmusatyalab</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/davidsandberg/facenet"><img width="256" height="144" src="./screenshots/facenet.jpeg"></a><br><h3><a href="https://github.com/davidsandberg/facenet">facenet</a></h3><p>⭐ 12K · <a href="https://github.com/davidsandberg/facenet">:octocat: Code</a></p><p> facenet实现</p><p><sup>by <a href="https://github.com/davidsandberg">@davidsandberg</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/ShiqiYu/libfacedetection"><img width="256" height="144" src="./screenshots/libfacedetection.png"></a><br><h3><a href="https://github.com/ShiqiYu/libfacedetection">libfacedetection</a></h3><p>⭐ 11K · <a href="https://github.com/ShiqiYu/libfacedetection">:octocat: Code</a></p><p> 开源的高速人脸检测模型</p><p><sup>by <a href="https://github.com/ShiqiYu">@ShiqiYu</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB"><img width="256" height="144" src="./screenshots/Ultra-Light-Fast-Generic-Face-Detector-1MB.jpeg"></a><br><h3><a href="https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB">Ultra-Light-Fast-Generic-Face-Detector-1MB</a></h3><p>⭐ 6.1K · <a href="https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB">:octocat: Code</a></p><p> 1MB轻量级人脸检测模型</p><p><sup>by <a href="https://github.com/Linzaer">@Linzaer</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ChanChiChoi/awesome-Face_Recognition"><img width="256" height="144" src="./screenshots/awesome-Face_Recognition.jpeg"></a><br><h3><a href="https://github.com/ChanChiChoi/awesome-Face_Recognition">awesome-Face_Recognition</a></h3><p>⭐ 3K · <a href="https://github.com/ChanChiChoi/awesome-Face_Recognition">:octocat: Code</a></p><p> awesome人脸识别资料大全</p><p><sup>by <a href="https://github.com/ChanChiChoi">@ChanChiChoi</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/timesler/facenet-pytorch"><img width="256" height="144" src="./screenshots/facenet-pytorch.gif"></a><br><h3><a href="https://github.com/timesler/facenet-pytorch">facenet-pytorch</a></h3><p>⭐ 2.4K · <a href="https://github.com/timesler/facenet-pytorch">:octocat: Code</a></p><p> pytorch版本的facenet实现</p><p><sup>by <a href="https://github.com/timesler">@timesler</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/RiweiChen/DeepFace"><img width="256" height="144" src="./screenshots/DeepFace.jpeg"></a><br><h3><a href="https://github.com/RiweiChen/DeepFace">DeepFace</a></h3><p>⭐ 1.5K · <a href="https://github.com/RiweiChen/DeepFace">:octocat: Code</a></p><p> deepFace实现</p><p><sup>by <a href="https://github.com/RiweiChen">@RiweiChen</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/dlunion/DBFace"><img width="256" height="144" src="./screenshots/DBFace.png"></a><br><h3><a href="https://github.com/dlunion/DBFace">DBFace</a></h3><p>⭐ 1.2K · <a href="https://github.com/dlunion/DBFace">:octocat: Code</a></p><p>实时高速人脸检测实现</p><p><sup>by <a href="https://github.com/dlunion">@dlunion</a></sup></p></td></tr></table>
 
 <br>
 
 ## 医疗影像
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xinario/awesome-gan-for-medical-imaging"><img width="256" height="144" src="./screenshots/awesome-gan-for-medical-imaging.png"></a><br><h3><a href="https://github.com/xinario/awesome-gan-for-medical-imaging">awesome-gan-for-medical-imaging</a></h3><p>⭐ 1.8K · <a href="https://github.com/xinario/awesome-gan-for-medical-imaging">:octocat: Code</a></p><p>xinario awesome-gan-for-medical-imaging</p><p><sup>by <a href="https://github.com/xinario">@xinario</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/albarqouni/Deep-Learning-for-Medical-Applications"><img width="256" height="144" src="./screenshots/Deep-Learning-for-Medical-Applications.png"></a><br><h3><a href="https://github.com/albarqouni/Deep-Learning-for-Medical-Applications">Deep-Learning-for-Medical-Applications</a></h3><p>⭐ 1.4K · <a href="https://github.com/albarqouni/Deep-Learning-for-Medical-Applications">:octocat: Code</a></p><p>albarqouni Deep-Learning-for-Medical-Applications</p><p><sup>by <a href="https://github.com/albarqouni">@albarqouni</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/DLTK/DLTK"><img width="256" height="144" src="./screenshots/DLTK.jpeg"></a><br><h3><a href="https://github.com/DLTK/DLTK">DLTK</a></h3><p>⭐ 1.3K · <a href="https://github.com/DLTK/DLTK">:octocat: Code</a></p><p>DLTK DLTK</p><p><sup>by <a href="https://github.com/DLTK">@DLTK</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/sfikas/medical-imaging-datasets"><img width="256" height="144" src="./screenshots/medical-imaging-datasets.png"></a><br><h3><a href="https://github.com/sfikas/medical-imaging-datasets">medical-imaging-datasets</a></h3><p>⭐ 1.2K · <a href="https://github.com/sfikas/medical-imaging-datasets">:octocat: Code</a></p><p>sfikas medical-imaging-datasets</p><p><sup>by <a href="https://github.com/sfikas">@sfikas</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/black0017/MedicalZooPytorch"><img width="256" height="144" src="./screenshots/MedicalZooPytorch.png"></a><br><h3><a href="https://github.com/black0017/MedicalZooPytorch">MedicalZoo-Pytorch</a></h3><p>⭐ 760 · <a href="https://github.com/black0017/MedicalZooPytorch">:octocat: Code</a></p><p>black0017 MedicalZooPytorch</p><p><sup>by <a href="https://github.com/black0017">@black0017</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/perone/medicaltorch"><img width="256" height="144" src="./screenshots/medicaltorch.png"></a><br><h3><a href="https://github.com/perone/medicaltorch">medicaltorch</a></h3><p>⭐ 750 · <a href="https://github.com/perone/medicaltorch">:octocat: Code</a></p><p>perone medicaltorch</p><p><sup>by <a href="https://github.com/perone">@perone</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/MITK/MITK"><img width="256" height="144" src="./screenshots/MITK.jpeg"></a><br><h3><a href="https://github.com/MITK/MITK">MITK</a></h3><p>⭐ 420 · <a href="https://github.com/MITK/MITK">:octocat: Code</a></p><p>MITK MITK</p><p><sup>by <a href="https://github.com/MITK">@MITK</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xinario/awesome-gan-for-medical-imaging"><img width="256" height="144" src="./screenshots/awesome-gan-for-medical-imaging.png"></a><br><h3><a href="https://github.com/xinario/awesome-gan-for-medical-imaging">awesome-gan-for-medical-imaging</a></h3><p>⭐ 1.8K · <a href="https://github.com/xinario/awesome-gan-for-medical-imaging">:octocat: Code</a></p><p>医疗影像中用到的GAN资料集合</p><p><sup>by <a href="https://github.com/xinario">@xinario</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/albarqouni/Deep-Learning-for-Medical-Applications"><img width="256" height="144" src="./screenshots/Deep-Learning-for-Medical-Applications.png"></a><br><h3><a href="https://github.com/albarqouni/Deep-Learning-for-Medical-Applications">Deep-Learning-for-Medical-Applications</a></h3><p>⭐ 1.4K · <a href="https://github.com/albarqouni/Deep-Learning-for-Medical-Applications">:octocat: Code</a></p><p>用于医疗影像的深度学习资料集</p><p><sup>by <a href="https://github.com/albarqouni">@albarqouni</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/DLTK/DLTK"><img width="256" height="144" src="./screenshots/DLTK.jpeg"></a><br><h3><a href="https://github.com/DLTK/DLTK">DLTK</a></h3><p>⭐ 1.3K · <a href="https://github.com/DLTK/DLTK">:octocat: Code</a></p><p>DLTK医疗影像深度学习工具库</p><p><sup>by <a href="https://github.com/DLTK">@DLTK</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/sfikas/medical-imaging-datasets"><img width="256" height="144" src="./screenshots/medical-imaging-datasets.png"></a><br><h3><a href="https://github.com/sfikas/medical-imaging-datasets">medical-imaging-datasets</a></h3><p>⭐ 1.2K · <a href="https://github.com/sfikas/medical-imaging-datasets">:octocat: Code</a></p><p>医疗影像数据集</p><p><sup>by <a href="https://github.com/sfikas">@sfikas</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/black0017/MedicalZooPytorch"><img width="256" height="144" src="./screenshots/MedicalZooPytorch.png"></a><br><h3><a href="https://github.com/black0017/MedicalZooPytorch">MedicalZoo-Pytorch</a></h3><p>⭐ 760 · <a href="https://github.com/black0017/MedicalZooPytorch">:octocat: Code</a></p><p>black0017 MedicalZooPytorch</p><p><sup>by <a href="https://github.com/black0017">@black0017</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/perone/medicaltorch"><img width="256" height="144" src="./screenshots/medicaltorch.png"></a><br><h3><a href="https://github.com/perone/medicaltorch">medicaltorch</a></h3><p>⭐ 750 · <a href="https://github.com/perone/medicaltorch">:octocat: Code</a></p><p>基于pytorch的医疗影像工具库</p><p><sup>by <a href="https://github.com/perone">@perone</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/MITK/MITK"><img width="256" height="144" src="./screenshots/MITK.jpeg"></a><br><h3><a href="https://github.com/MITK/MITK">MITK</a></h3><p>⭐ 420 · <a href="https://github.com/MITK/MITK">:octocat: Code</a></p><p>MITK医疗影像处理工具库</p><p><sup>by <a href="https://github.com/MITK">@MITK</a></sup></p></td></tr></table>
 
 <br>
 
 ## 行人检测
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices"><img width="256" height="144" src="./screenshots/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices.png"></a><br><h3><a href="https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices">LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices</a></h3><p>⭐ 1.2K · <a href="https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices">:octocat: Code</a></p><p>YonghaoHe LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices</p><p><sup>by <a href="https://github.com/YonghaoHe">@YonghaoHe</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/hasanirtiza/Pedestron"><img width="256" height="144" src="./screenshots/Pedestron.png"></a><br><h3><a href="https://github.com/hasanirtiza/Pedestron">Pedestron</a></h3><p>⭐ 470 · <a href="https://github.com/hasanirtiza/Pedestron">:octocat: Code</a></p><p>hasanirtiza Pedestron</p><p><sup>by <a href="https://github.com/hasanirtiza">@hasanirtiza</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/thatbrguy/Pedestrian-Detection"><img width="256" height="144" src="./screenshots/Pedestrian-Detection.jpeg"></a><br><h3><a href="https://github.com/thatbrguy/Pedestrian-Detection">Pedestrian-Detection</a></h3><p>⭐ 320 · <a href="https://github.com/thatbrguy/Pedestrian-Detection">:octocat: Code</a></p><p>thatbrguy Pedestrian-Detection</p><p><sup>by <a href="https://github.com/thatbrguy">@thatbrguy</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xingkongliang/Pedestrian-Detection"><img width="256" height="144" src="./screenshots/Pedestrian-Detection-papers.png"></a><br><h3><a href="https://github.com/xingkongliang/Pedestrian-Detection">Pedestrian-Detection-papers</a></h3><p>⭐ 250 · <a href="https://github.com/xingkongliang/Pedestrian-Detection">:octocat: Code</a></p><p>xingkongliang Pedestrian-Detection</p><p><sup>by <a href="https://github.com/xingkongliang">@xingkongliang</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/zhangpengpengpeng/PedestrianDetectionSystem"><img width="256" height="144" src="./screenshots/PedestrianDetectionSystem.jpeg"></a><br><h3><a href="https://github.com/zhangpengpengpeng/PedestrianDetectionSystem">PedestrianDetectionSystem</a></h3><p>⭐ 230 · <a href="https://github.com/zhangpengpengpeng/PedestrianDetectionSystem">:octocat: Code</a></p><p>zhangpengpengpeng PedestrianDetectionSystem</p><p><sup>by <a href="https://github.com/zhangpengpengpeng">@zhangpengpengpeng</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices"><img width="256" height="144" src="./screenshots/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices.png"></a><br><h3><a href="https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices">LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices</a></h3><p>⭐ 1.2K · <a href="https://github.com/YonghaoHe/LFFD-A-Light-and-Fast-Face-Detector-for-Edge-Devices">:octocat: Code</a></p><p> 边缘设备上的人头与行人检测等</p><p><sup>by <a href="https://github.com/YonghaoHe">@YonghaoHe</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/hasanirtiza/Pedestron"><img width="256" height="144" src="./screenshots/Pedestron.png"></a><br><h3><a href="https://github.com/hasanirtiza/Pedestron">Pedestron</a></h3><p>⭐ 470 · <a href="https://github.com/hasanirtiza/Pedestron">:octocat: Code</a></p><p> CVPR2021行人检测论文实现</p><p><sup>by <a href="https://github.com/hasanirtiza">@hasanirtiza</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/thatbrguy/Pedestrian-Detection"><img width="256" height="144" src="./screenshots/Pedestrian-Detection.jpeg"></a><br><h3><a href="https://github.com/thatbrguy/Pedestrian-Detection">Pedestrian-Detection</a></h3><p>⭐ 320 · <a href="https://github.com/thatbrguy/Pedestrian-Detection">:octocat: Code</a></p><p> 基于tensorflow的行人检测实现</p><p><sup>by <a href="https://github.com/thatbrguy">@thatbrguy</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/xingkongliang/Pedestrian-Detection"><img width="256" height="144" src="./screenshots/Pedestrian-Detection-papers.png"></a><br><h3><a href="https://github.com/xingkongliang/Pedestrian-Detection">Pedestrian-Detection-papers</a></h3><p>⭐ 250 · <a href="https://github.com/xingkongliang/Pedestrian-Detection">:octocat: Code</a></p><p> 行人检测论文整理</p><p><sup>by <a href="https://github.com/xingkongliang">@xingkongliang</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/zhangpengpengpeng/PedestrianDetectionSystem"><img width="256" height="144" src="./screenshots/PedestrianDetectionSystem.jpeg"></a><br><h3><a href="https://github.com/zhangpengpengpeng/PedestrianDetectionSystem">PedestrianDetectionSystem</a></h3><p>⭐ 230 · <a href="https://github.com/zhangpengpengpeng/PedestrianDetectionSystem">:octocat: Code</a></p><p> 基于TensorFlow的自动化行人检测和监控系统</p><p><sup>by <a href="https://github.com/zhangpengpengpeng">@zhangpengpengpeng</a></sup></p></td></tr></table>
 
 <br>
 
 ## 自动驾驶
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ApolloAuto/apollo"><img width="256" height="144" src="./screenshots/apollo.jpeg"></a><br><h3><a href="https://github.com/ApolloAuto/apollo">apollo</a></h3><p>⭐ 19K · <a href="https://github.com/ApolloAuto/apollo">:octocat: Code</a></p><p>ApolloAuto apollo</p><p><sup>by <a href="https://github.com/ApolloAuto">@ApolloAuto</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/carla-simulator/carla"><img width="256" height="144" src="./screenshots/carla.jpeg"></a><br><h3><a href="https://github.com/carla-simulator/carla">carla</a></h3><p>⭐ 6.6K · <a href="https://github.com/carla-simulator/carla">:octocat: Code</a></p><p>carla-simulator carla</p><p><sup>by <a href="https://github.com/carla-simulator">@carla-simulator</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/AutonomousDrivingCookbook"><img width="256" height="144" src="./screenshots/AutonomousDrivingCookbook.jpeg"></a><br><h3><a href="https://github.com/microsoft/AutonomousDrivingCookbook">AutonomousDrivingCookbook</a></h3><p>⭐ 1.9K · <a href="https://github.com/microsoft/AutonomousDrivingCookbook">:octocat: Code</a></p><p>microsoft AutonomousDrivingCookbook</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/manfreddiaz/awesome-autonomous-vehicles"><img width="256" height="144" src="./screenshots/awesome-autonomous-vehicles.jpeg"></a><br><h3><a href="https://github.com/manfreddiaz/awesome-autonomous-vehicles">awesome-autonomous-vehicles</a></h3><p>⭐ 1.6K · <a href="https://github.com/manfreddiaz/awesome-autonomous-vehicles">:octocat: Code</a></p><p>manfreddiaz awesome-autonomous-vehicles</p><p><sup>by <a href="https://github.com/manfreddiaz">@manfreddiaz</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/huawei-noah/SMARTS"><img width="256" height="144" src="./screenshots/SMARTS.png"></a><br><h3><a href="https://github.com/huawei-noah/SMARTS">SMARTS</a></h3><p>⭐ 440 · <a href="https://github.com/huawei-noah/SMARTS">:octocat: Code</a></p><p>huawei-noah SMARTS</p><p><sup>by <a href="https://github.com/huawei-noah">@huawei-noah</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/autonomousdrivingkr/Awesome-Autonomous-Driving"><img width="256" height="144" src="./screenshots/Awesome-Autonomous-Driving.gif"></a><br><h3><a href="https://github.com/autonomousdrivingkr/Awesome-Autonomous-Driving">Awesome-Autonomous-Driving</a></h3><p>⭐ 400 · <a href="https://github.com/autonomousdrivingkr/Awesome-Autonomous-Driving">:octocat: Code</a></p><p>autonomousdrivingkr Awesome-Autonomous-Driving</p><p><sup>by <a href="https://github.com/autonomousdrivingkr">@autonomousdrivingkr</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/ApolloAuto/apollo"><img width="256" height="144" src="./screenshots/apollo.jpeg"></a><br><h3><a href="https://github.com/ApolloAuto/apollo">apollo</a></h3><p>⭐ 19K · <a href="https://github.com/ApolloAuto/apollo">:octocat: Code</a></p><p> 百度阿波罗无人驾驶平台</p><p><sup>by <a href="https://github.com/ApolloAuto">@ApolloAuto</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/carla-simulator/carla"><img width="256" height="144" src="./screenshots/carla.jpeg"></a><br><h3><a href="https://github.com/carla-simulator/carla">carla</a></h3><p>⭐ 6.6K · <a href="https://github.com/carla-simulator/carla">:octocat: Code</a></p><p> carla无人驾驶研究模拟器</p><p><sup>by <a href="https://github.com/carla-simulator">@carla-simulator</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/AutonomousDrivingCookbook"><img width="256" height="144" src="./screenshots/AutonomousDrivingCookbook.jpeg"></a><br><h3><a href="https://github.com/microsoft/AutonomousDrivingCookbook">AutonomousDrivingCookbook</a></h3><p>⭐ 1.9K · <a href="https://github.com/microsoft/AutonomousDrivingCookbook">:octocat: Code</a></p><p> 微软无人驾驶指南书</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/manfreddiaz/awesome-autonomous-vehicles"><img width="256" height="144" src="./screenshots/awesome-autonomous-vehicles.jpeg"></a><br><h3><a href="https://github.com/manfreddiaz/awesome-autonomous-vehicles">awesome-autonomous-vehicles</a></h3><p>⭐ 1.6K · <a href="https://github.com/manfreddiaz/awesome-autonomous-vehicles">:octocat: Code</a></p><p> awesome无人驾驶资料合集</p><p><sup>by <a href="https://github.com/manfreddiaz">@manfreddiaz</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/huawei-noah/SMARTS"><img width="256" height="144" src="./screenshots/SMARTS.png"></a><br><h3><a href="https://github.com/huawei-noah/SMARTS">SMARTS</a></h3><p>⭐ 440 · <a href="https://github.com/huawei-noah/SMARTS">:octocat: Code</a></p><p> 华为诺亚无人驾驶强化学习环境</p><p><sup>by <a href="https://github.com/huawei-noah">@huawei-noah</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/autonomousdrivingkr/Awesome-Autonomous-Driving"><img width="256" height="144" src="./screenshots/Awesome-Autonomous-Driving.gif"></a><br><h3><a href="https://github.com/autonomousdrivingkr/Awesome-Autonomous-Driving">Awesome-Autonomous-Driving</a></h3><p>⭐ 400 · <a href="https://github.com/autonomousdrivingkr/Awesome-Autonomous-Driving">:octocat: Code</a></p><p> awesome无人驾驶资料集</p><p><sup>by <a href="https://github.com/autonomousdrivingkr">@autonomousdrivingkr</a></sup></p></td></tr></table>
 
 <br>
 
 ## 生成对抗网络GAN
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/hindupuravinash/the-gan-zoo"><img width="256" height="144" src="./screenshots/the-gan-zoo.jpeg"></a><br><h3><a href="https://github.com/hindupuravinash/the-gan-zoo">the-gan-zoo</a></h3><p>⭐ 11K · <a href="https://github.com/hindupuravinash/the-gan-zoo">:octocat: Code</a></p><p>hindupuravinash the-gan-zoo</p><p><sup>by <a href="https://github.com/hindupuravinash">@hindupuravinash</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/eriklindernoren/PyTorch-GAN"><img width="256" height="144" src="./screenshots/PyTorch-GAN.png"></a><br><h3><a href="https://github.com/eriklindernoren/PyTorch-GAN">PyTorch-GAN</a></h3><p>⭐ 10K · <a href="https://github.com/eriklindernoren/PyTorch-GAN">:octocat: Code</a></p><p>eriklindernoren PyTorch-GAN</p><p><sup>by <a href="https://github.com/eriklindernoren">@eriklindernoren</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/soumith/ganhacks"><img width="256" height="144" src="./screenshots/ganhacks.png"></a><br><h3><a href="https://github.com/soumith/ganhacks">ganhacks</a></h3><p>⭐ 10K · <a href="https://github.com/soumith/ganhacks">:octocat: Code</a></p><p>soumith ganhacks</p><p><sup>by <a href="https://github.com/soumith">@soumith</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/eriklindernoren/Keras-GAN"><img width="256" height="144" src="./screenshots/Keras-GAN.png"></a><br><h3><a href="https://github.com/eriklindernoren/Keras-GAN">Keras-GAN</a></h3><p>⭐ 8.4K · <a href="https://github.com/eriklindernoren/Keras-GAN">:octocat: Code</a></p><p>eriklindernoren Keras-GAN</p><p><sup>by <a href="https://github.com/eriklindernoren">@eriklindernoren</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleGAN"><img width="256" height="144" src="./screenshots/PaddleGAN.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleGAN">PaddleGAN</a></h3><p>⭐ 4.2K · <a href="https://github.com/PaddlePaddle/PaddleGAN">:octocat: Code</a></p><p>PaddlePaddle PaddleGAN</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/nashory/gans-awesome-applications"><img width="256" height="144" src="./screenshots/gans-awesome-applications.png"></a><br><h3><a href="https://github.com/nashory/gans-awesome-applications">gans-awesome-applications</a></h3><p>⭐ 3.8K · <a href="https://github.com/nashory/gans-awesome-applications">:octocat: Code</a></p><p>nashory gans-awesome-applications</p><p><sup>by <a href="https://github.com/nashory">@nashory</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/hwalsuklee/tensorflow-generative-model-collections"><img width="256" height="144" src="./screenshots/tensorflow-generative-model-collections.png"></a><br><h3><a href="https://github.com/hwalsuklee/tensorflow-generative-model-collections">tensorflow-generative-model-collections</a></h3><p>⭐ 3.8K · <a href="https://github.com/hwalsuklee/tensorflow-generative-model-collections">:octocat: Code</a></p><p>hwalsuklee tensorflow-generative-model-collections</p><p><sup>by <a href="https://github.com/hwalsuklee">@hwalsuklee</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/nightrome/really-awesome-gan"><img width="256" height="144" src="./screenshots/really-awesome-gan.png"></a><br><h3><a href="https://github.com/nightrome/really-awesome-gan">really-awesome-gan</a></h3><p>⭐ 3.3K · <a href="https://github.com/nightrome/really-awesome-gan">:octocat: Code</a></p><p>nightrome really-awesome-gan</p><p><sup>by <a href="https://github.com/nightrome">@nightrome</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/znxlwm/pytorch-generative-model-collections"><img width="256" height="144" src="./screenshots/pytorch-generative-model-collections.png"></a><br><h3><a href="https://github.com/znxlwm/pytorch-generative-model-collections">pytorch-generative-model-collections</a></h3><p>⭐ 2.3K · <a href="https://github.com/znxlwm/pytorch-generative-model-collections">:octocat: Code</a></p><p>znxlwm pytorch-generative-model-collections</p><p><sup>by <a href="https://github.com/znxlwm">@znxlwm</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/pytorch_GAN_zoo"><img width="256" height="144" src="./screenshots/pytorch_GAN_zoo.png"></a><br><h3><a href="https://github.com/facebookresearch/pytorch_GAN_zoo">pytorch_GAN_zoo</a></h3><p>⭐ 1.4K · <a href="https://github.com/facebookresearch/pytorch_GAN_zoo">:octocat: Code</a></p><p>facebookresearch pytorch_GAN_zoo</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/hindupuravinash/the-gan-zoo"><img width="256" height="144" src="./screenshots/the-gan-zoo.jpeg"></a><br><h3><a href="https://github.com/hindupuravinash/the-gan-zoo">the-gan-zoo</a></h3><p>⭐ 11K · <a href="https://github.com/hindupuravinash/the-gan-zoo">:octocat: Code</a></p><p> GAN模型集合列表</p><p><sup>by <a href="https://github.com/hindupuravinash">@hindupuravinash</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/eriklindernoren/PyTorch-GAN"><img width="256" height="144" src="./screenshots/PyTorch-GAN.png"></a><br><h3><a href="https://github.com/eriklindernoren/PyTorch-GAN">PyTorch-GAN</a></h3><p>⭐ 10K · <a href="https://github.com/eriklindernoren/PyTorch-GAN">:octocat: Code</a></p><p> pytorch实现的各种GAN</p><p><sup>by <a href="https://github.com/eriklindernoren">@eriklindernoren</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/soumith/ganhacks"><img width="256" height="144" src="./screenshots/ganhacks.png"></a><br><h3><a href="https://github.com/soumith/ganhacks">ganhacks</a></h3><p>⭐ 10K · <a href="https://github.com/soumith/ganhacks">:octocat: Code</a></p><p> GAN知识技巧集合</p><p><sup>by <a href="https://github.com/soumith">@soumith</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/eriklindernoren/Keras-GAN"><img width="256" height="144" src="./screenshots/Keras-GAN.png"></a><br><h3><a href="https://github.com/eriklindernoren/Keras-GAN">Keras-GAN</a></h3><p>⭐ 8.4K · <a href="https://github.com/eriklindernoren/Keras-GAN">:octocat: Code</a></p><p> Keras实现的各种GAN</p><p><sup>by <a href="https://github.com/eriklindernoren">@eriklindernoren</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleGAN"><img width="256" height="144" src="./screenshots/PaddleGAN.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleGAN">PaddleGAN</a></h3><p>⭐ 4.2K · <a href="https://github.com/PaddlePaddle/PaddleGAN">:octocat: Code</a></p><p> 百度paddlepaddle实现的GAN及应用</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/nashory/gans-awesome-applications"><img width="256" height="144" src="./screenshots/gans-awesome-applications.png"></a><br><h3><a href="https://github.com/nashory/gans-awesome-applications">gans-awesome-applications</a></h3><p>⭐ 3.8K · <a href="https://github.com/nashory/gans-awesome-applications">:octocat: Code</a></p><p> GAN模型应用大全</p><p><sup>by <a href="https://github.com/nashory">@nashory</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/hwalsuklee/tensorflow-generative-model-collections"><img width="256" height="144" src="./screenshots/tensorflow-generative-model-collections.png"></a><br><h3><a href="https://github.com/hwalsuklee/tensorflow-generative-model-collections">tensorflow-generative-model-collections</a></h3><p>⭐ 3.8K · <a href="https://github.com/hwalsuklee/tensorflow-generative-model-collections">:octocat: Code</a></p><p> tensorflow实现的各种GAN</p><p><sup>by <a href="https://github.com/hwalsuklee">@hwalsuklee</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/nightrome/really-awesome-gan"><img width="256" height="144" src="./screenshots/really-awesome-gan.png"></a><br><h3><a href="https://github.com/nightrome/really-awesome-gan">really-awesome-gan</a></h3><p>⭐ 3.3K · <a href="https://github.com/nightrome/really-awesome-gan">:octocat: Code</a></p><p> GAN资料论文大全</p><p><sup>by <a href="https://github.com/nightrome">@nightrome</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/znxlwm/pytorch-generative-model-collections"><img width="256" height="144" src="./screenshots/pytorch-generative-model-collections.png"></a><br><h3><a href="https://github.com/znxlwm/pytorch-generative-model-collections">pytorch-generative-model-collections</a></h3><p>⭐ 2.3K · <a href="https://github.com/znxlwm/pytorch-generative-model-collections">:octocat: Code</a></p><p> pytorch实现的各种GAN集合</p><p><sup>by <a href="https://github.com/znxlwm">@znxlwm</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/facebookresearch/pytorch_GAN_zoo"><img width="256" height="144" src="./screenshots/pytorch_GAN_zoo.png"></a><br><h3><a href="https://github.com/facebookresearch/pytorch_GAN_zoo">pytorch_GAN_zoo</a></h3><p>⭐ 1.4K · <a href="https://github.com/facebookresearch/pytorch_GAN_zoo">:octocat: Code</a></p><p> pytorch实现的GAN集合</p><p><sup>by <a href="https://github.com/facebookresearch">@facebookresearch</a></sup></p></td></tr></table>
 
 <br>
 
 ## 模型压缩与优化
 
-<a href="#contents"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
+<a href="#目录"><img align="right" width="15" height="15" src="https://git.io/JtehR" alt="Back to top"></a>
 
-<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/nni"><img width="256" height="144" src="./screenshots/nni.png"></a><br><h3><a href="https://github.com/microsoft/nni">nni</a></h3><p>⭐ 10K · <a href="https://github.com/microsoft/nni">:octocat: Code</a></p><p>microsoft nni</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Tencent/TNN"><img width="256" height="144" src="./screenshots/TNN.png"></a><br><h3><a href="https://github.com/Tencent/TNN">TNN</a></h3><p>⭐ 3.1K · <a href="https://github.com/Tencent/TNN">:octocat: Code</a></p><p>Tencent TNN</p><p><sup>by <a href="https://github.com/Tencent">@Tencent</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Tencent/PocketFlow"><img width="256" height="144" src="./screenshots/PocketFlow.png"></a><br><h3><a href="https://github.com/Tencent/PocketFlow">PocketFlow</a></h3><p>⭐ 2.7K · <a href="https://github.com/Tencent/PocketFlow">:octocat: Code</a></p><p>Tencent PocketFlow</p><p><sup>by <a href="https://github.com/Tencent">@Tencent</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/666DZY666/micronet"><img width="256" height="144" src="./screenshots/micronet.png"></a><br><h3><a href="https://github.com/666DZY666/micronet">micronet</a></h3><p>⭐ 1.5K · <a href="https://github.com/666DZY666/micronet">:octocat: Code</a></p><p>666DZY666 micronet</p><p><sup>by <a href="https://github.com/666DZY666">@666DZY666</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/tensorflow/model-optimization"><img width="256" height="144" src="./screenshots/model-optimization.png"></a><br><h3><a href="https://github.com/tensorflow/model-optimization">model-optimization</a></h3><p>⭐ 1.1K · <a href="https://github.com/tensorflow/model-optimization">:octocat: Code</a></p><p>tensorflow model-optimization</p><p><sup>by <a href="https://github.com/tensorflow">@tensorflow</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleSlim"><img width="256" height="144" src="./screenshots/PaddleSlim.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleSlim">PaddleSlim</a></h3><p>⭐ 790 · <a href="https://github.com/PaddlePaddle/PaddleSlim">:octocat: Code</a></p><p>PaddlePaddle PaddleSlim</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/quic/aimet"><img width="256" height="144" src="./screenshots/aimet.png"></a><br><h3><a href="https://github.com/quic/aimet">aimet</a></h3><p>⭐ 700 · <a href="https://github.com/quic/aimet">:octocat: Code</a></p><p>quic aimet</p><p><sup>by <a href="https://github.com/quic">@quic</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/memoiry/Awesome-model-compression-and-acceleration"><img width="256" height="144" src="./screenshots/Awesome-model-compression-and-acceleration.png"></a><br><h3><a href="https://github.com/memoiry/Awesome-model-compression-and-acceleration">Awesome-model-compression-and-acceleration</a></h3><p>⭐ 540 · <a href="https://github.com/memoiry/Awesome-model-compression-and-acceleration">:octocat: Code</a></p><p>memoiry Awesome-model-compression-and-acceleration</p><p><sup>by <a href="https://github.com/memoiry">@memoiry</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/huawei-noah/Data-Efficient-Model-Compression"><img width="256" height="144" src="./screenshots/Data-Efficient-Model-Compression.png"></a><br><h3><a href="https://github.com/huawei-noah/Data-Efficient-Model-Compression">Data-Efficient-Model-Compression</a></h3><p>⭐ 440 · <a href="https://github.com/huawei-noah/Efficient-Computing">:octocat: Code</a></p><p>huawei-noah Data-Efficient-Model-Compression</p><p><sup>by <a href="https://github.com/huawei-noah">@huawei-noah</a></sup></p></td></tr></table>
+<table width="100%"><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/microsoft/nni"><img width="256" height="144" src="./screenshots/nni.png"></a><br><h3><a href="https://github.com/microsoft/nni">nni</a></h3><p>⭐ 10K · <a href="https://github.com/microsoft/nni">:octocat: Code</a></p><p> 微软的nni工具</p><p><sup>by <a href="https://github.com/microsoft">@microsoft</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Tencent/TNN"><img width="256" height="144" src="./screenshots/TNN.png"></a><br><h3><a href="https://github.com/Tencent/TNN">TNN</a></h3><p>⭐ 3.1K · <a href="https://github.com/Tencent/TNN">:octocat: Code</a></p><p> 腾讯优图实验室开源的高性能轻量级神经网络推理框架</p><p><sup>by <a href="https://github.com/Tencent">@Tencent</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/Tencent/PocketFlow"><img width="256" height="144" src="./screenshots/PocketFlow.png"></a><br><h3><a href="https://github.com/Tencent/PocketFlow">PocketFlow</a></h3><p>⭐ 2.7K · <a href="https://github.com/Tencent/PocketFlow">:octocat: Code</a></p><p> 腾讯的模型压缩与加速工具库</p><p><sup>by <a href="https://github.com/Tencent">@Tencent</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/666DZY666/micronet"><img width="256" height="144" src="./screenshots/micronet.png"></a><br><h3><a href="https://github.com/666DZY666/micronet">micronet</a></h3><p>⭐ 1.5K · <a href="https://github.com/666DZY666/micronet">:octocat: Code</a></p><p> 模型压缩与部署工具库</p><p><sup>by <a href="https://github.com/666DZY666">@666DZY666</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/tensorflow/model-optimization"><img width="256" height="144" src="./screenshots/model-optimization.png"></a><br><h3><a href="https://github.com/tensorflow/model-optimization">model-optimization</a></h3><p>⭐ 1.1K · <a href="https://github.com/tensorflow/model-optimization">:octocat: Code</a></p><p> tensorflow模型压缩工具(量化与剪枝)</p><p><sup>by <a href="https://github.com/tensorflow">@tensorflow</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/PaddlePaddle/PaddleSlim"><img width="256" height="144" src="./screenshots/PaddleSlim.png"></a><br><h3><a href="https://github.com/PaddlePaddle/PaddleSlim">PaddleSlim</a></h3><p>⭐ 790 · <a href="https://github.com/PaddlePaddle/PaddleSlim">:octocat: Code</a></p><p> 百度PaddleSlim模型压缩工具库</p><p><sup>by <a href="https://github.com/PaddlePaddle">@PaddlePaddle</a></sup></p></td></tr><tr align="center"><td valign="top" width="33.3%"><br><a href="https://github.com/quic/aimet"><img width="256" height="144" src="./screenshots/aimet.png"></a><br><h3><a href="https://github.com/quic/aimet">aimet</a></h3><p>⭐ 700 · <a href="https://github.com/quic/aimet">:octocat: Code</a></p><p> aimet模型压缩与加速工具包</p><p><sup>by <a href="https://github.com/quic">@quic</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/memoiry/Awesome-model-compression-and-acceleration"><img width="256" height="144" src="./screenshots/Awesome-model-compression-and-acceleration.png"></a><br><h3><a href="https://github.com/memoiry/Awesome-model-compression-and-acceleration">Awesome-model-compression-and-acceleration</a></h3><p>⭐ 540 · <a href="https://github.com/memoiry/Awesome-model-compression-and-acceleration">:octocat: Code</a></p><p> 模型压缩加速资料大全</p><p><sup>by <a href="https://github.com/memoiry">@memoiry</a></sup></p></td><td valign="top" width="33.3%"><br><a href="https://github.com/huawei-noah/Data-Efficient-Model-Compression"><img width="256" height="144" src="./screenshots/Data-Efficient-Model-Compression.png"></a><br><h3><a href="https://github.com/huawei-noah/Data-Efficient-Model-Compression">Data-Efficient-Model-Compression</a></h3><p>⭐ 440 · <a href="https://github.com/huawei-noah/Efficient-Computing">:octocat: Code</a></p><p> 华为实现的Data-Efficient模型压缩</p><p><sup>by <a href="https://github.com/huawei-noah">@huawei-noah</a></sup></p></td></tr></table>