[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2200":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":33,"readmeContent":34,"aiSummary":35,"trendingCount":16,"starSnapshotCount":16,"syncStatus":19,"lastSyncTime":36,"discoverSource":37},2200,"deep-learning-for-image-processing","WZMIAOMIAO\u002Fdeep-learning-for-image-processing","WZMIAOMIAO","deep learning for image processing including classification and object-detection etc.","",null,"Python",26259,8206,167,87,0,10,41,2,45,"GNU General Public License v3.0",false,"master",true,[26,27,28,29,30,31,32],"bilibili","classification","deep-learning","object-detection","pytorch","segmentation","tensorflow2","2026-06-12 02:00:38","# 深度学习在图像处理中的应用教程\n\n## 前言\n* 本教程是对本人研究生期间的研究内容进行整理总结，总结的同时也希望能够帮助更多的小伙伴。后期如果有学习到新的知识也会与大家一起分享。\n* 本教程会以视频的方式进行分享，教学流程如下：  \n1）介绍网络的结构与创新点  \n2）使用Pytorch进行网络的搭建与训练  \n3）使用Tensorflow（内部的keras模块）进行网络的搭建与训练 \n* 课程中所有PPT都放在`course_ppt`文件夹下，需要的自行下载。\n\n\n## 教程目录，点击跳转相应视频（后期会根据学习内容增加）\n\n* 图像分类\n  * LeNet（已完成）\n    * [Pytorch官方demo(Lenet)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV187411T7Ye)\n    * [Tensorflow2官方demo](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1n7411T7o6)\n\n  * AlexNet（已完成）\n    * [AlexNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1p7411T7Pc)\n    * [Pytorch搭建AlexNet](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1W7411T7qc)\n    * [Tensorflow2搭建Alexnet](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1s7411T7vs)\n\n  * VggNet（已完成）\n    * [VggNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1q7411T7Y6)\n    * [Pytorch搭建VGG网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1i7411T7ZN)\n    * [Tensorflow2搭建VGG网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1q7411T76b)\n\n  * GoogLeNet（已完成）\n    * [GoogLeNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1z7411T7ie)\n    * [Pytorch搭建GoogLeNet网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1r7411T7M5)\n    * [Tensorflow2搭建GoogLeNet网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1a7411T7Ht)\n\n  * ResNet（已完成）\n    * [ResNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1T7411T7wa)\n    * [Pytorch搭建ResNet网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV14E411H7Uw)\n    * [Tensorflow2搭建ResNet网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1WE41177Ya)\n\n  * ResNeXt (已完成)\n    * [ResNeXt网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Ap4y1p71v\u002F)\n    * [Pytorch搭建ResNeXt网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1rX4y1N7tE)\n\n  * MobileNet_V1_V2（已完成）\n    * [MobileNet_V1_V2网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1yE411p7L7)\n    * [Pytorch搭建MobileNetV2网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1qE411T7qZ)\n    * [Tensorflow2搭建MobileNetV2网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1NE411K7tX)\n\n  * MobileNet_V3（已完成）\n    * [MobileNet_V3网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1GK4y1p7uE)\n    * [Pytorch搭建MobileNetV3网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1zT4y1P7pd)\n    * [Tensorflow2搭建MobileNetV3网络](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1KA411g7wX)\n\n  * ShuffleNet_V1_V2 (已完成)\n    * [ShuffleNet_V1_V2网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV15y4y1Y7SY)\n    * [使用Pytorch搭建ShuffleNetV2](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1dh411r76X)\n    * [使用Tensorflow2搭建ShuffleNetV2](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1kr4y1N7bh)\n\n  * EfficientNet_V1（已完成）\n    * [EfficientNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1XK4y1U7PX)\n    * [使用Pytorch搭建EfficientNet](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV19z4y1179h\u002F)\n    * [使用Tensorflow2搭建EfficientNet](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1PK4y1S7Jf)\n\n  * EfficientNet_V2 (已完成)\n    * [EfficientNetV2网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV19v41157AU)\n    * [使用Pytorch搭建EfficientNetV2](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Xy4y1g74u)\n    * [使用Tensorflow搭建EfficientNetV2](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV19K4y1g7m4)\n  \n  * RepVGG（已完成）\n    * [RepVGG网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV15f4y1o7QR)\n\n  * Vision Transformer(已完成)\n    * [Multi-Head Attention讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV15v411W78M)\n    * [Vision Transformer网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Jh411Y7WQ)\n    * [使用Pytorch搭建Vision Transformer](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1AL411W7dT)\n    * [使用tensorflow2搭建Vision Transformer](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1q64y1X7GY)\n\n  * Swin Transformer(已完成)\n    * [Swin Transformer网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1pL4y1v7jC)\n    * [使用Pytorch搭建Swin Transformer](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1yg411K7Yc)\n    * [使用Tensorflow2搭建Swin Transformer](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1bR4y1t7qT)\n\n  * ConvNeXt(已完成)\n    * [ConvNeXt网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1SS4y157fu)\n    * [使用Pytorch搭建ConvNeXt](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV14S4y1L791)\n    * [使用Tensorflow2搭建ConvNeXt](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1TS4y1V7Gz)\n\n  * MobileViT(已完成)\n    * [MobileViT网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1TG41137sb)\n    * [使用Pytorch搭建MobileViT](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1ae411L7Ki)\n\n* 目标检测\n  * Faster-RCNN\u002FFPN（已完成）\n    * [Faster-RCNN网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1af4y1m7iL)\n    * [FPN网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1dh411U7D9)\n    * [Faster-RCNN源码解析(Pytorch)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1of4y1m7nj)\n\n  * SSD\u002FRetinaNet (已完成)\n    * [SSD网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1fT4y1L7Gi)\n    * [RetinaNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Q54y1L7sM)\n    * [SSD源码解析(Pytorch)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1vK411H771)\n\n  * YOLO Series (已完成)\n    * [YOLO系列网络讲解(V1~V3)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1yi4y1g7ro)\n    * [YOLOv3 SPP源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1t54y1C7ra)\n    * [YOLOV4网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1NF41147So)\n    * [YOLOV5网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1T3411p7zR)\n    * [YOLOX 网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1JW4y1k76c)\n  \n  * FCOS（已完成）\n    * [FCOS网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1G5411X7jw)\n\n* 语义分割 \n  * FCN (已完成)\n    * [FCN网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1J3411C7zd)\n    * [FCN源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV19q4y1971Q)\n\n  * DeepLabV3 (已完成)\n    * [DeepLabV1网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1SU4y1N7Ao)\n    * [DeepLabV2网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1gP4y1G7TC)\n    * [DeepLabV3网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Jb4y1q7j7)\n    * [DeepLabV3源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1TD4y1c7Wx)\n\n  * LR-ASPP (已完成)\n    * [LR-ASPP网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1LS4y1M76E)\n    * [LR-ASPP源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002Fbv13D4y1F7ML)\n  \n  * U-Net (已完成)\n    * [U-Net网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Vq4y127fB\u002F)\n    * [U-Net源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Vq4y127fB)\n  \n  * U2Net (已完成)\n    * [U2Net网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1yB4y1z7mj)\n    * [U2Net源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1Kt4y137iS)\n\n* 实例分割\n  * Mask R-CNN（已完成）\n    * [Mask R-CNN网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1ZY411774T)\n    * [Mask R-CNN源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1hY411E7wD)\n\n* 关键点检测\n  * DeepPose（已完成）\n    * [DeepPose网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1bm421g7aJ)\n    * [DeepPose源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1bm421g7aJ)\n\n  * HRNet（已完成）\n    * [HRNet网络讲解](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1bB4y1y7qP)\n    * [HRNet源码解析(Pytorch版)](https:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1ar4y157JM)\n\n**[更多相关视频请进入我的bilibili频道查看](https:\u002F\u002Fspace.bilibili.com\u002F18161609\u002Fchannel\u002Findex)**\n\n---\n\n欢迎大家关注下我的微信公众号（**阿喆学习小记**），平时会总结些相关学习博文。    \n\n如果有什么问题，也可以到我的CSDN中一起讨论。\n[https:\u002F\u002Fblog.csdn.net\u002Fqq_37541097\u002Farticle\u002Fdetails\u002F103482003](https:\u002F\u002Fblog.csdn.net\u002Fqq_37541097\u002Farticle\u002Fdetails\u002F103482003)\n\n我的bilibili频道：\n[https:\u002F\u002Fspace.bilibili.com\u002F18161609\u002Fchannel\u002Findex](https:\u002F\u002Fspace.bilibili.com\u002F18161609\u002Fchannel\u002Findex)\n","该项目是一个专注于深度学习在图像处理领域应用的教程，涵盖了分类和目标检测等内容。它通过视频形式详细介绍了多种经典与现代神经网络模型（如LeNet、AlexNet、VGGNet等）的结构特点，并演示了如何使用PyTorch和TensorFlow 2.0框架来实现这些模型的搭建与训练过程。项目适合希望深入理解并实践深度学习图像处理技术的学习者或开发者，在教学科研、个人技能提升及实际工程项目开发中均可发挥重要作用。","2026-06-11 02:48:48","top_language"]