{"id":14958129,"url":"https://github.com/wzmiaomiao/deep-learning-for-image-processing","last_synced_at":"2025-05-13T15:04:52.391Z","repository":{"id":37334810,"uuid":"221723816","full_name":"WZMIAOMIAO/deep-learning-for-image-processing","owner":"WZMIAOMIAO","description":"deep learning for image processing including classification and object-detection 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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://www.bilibili.com/video/BV187411T7Ye)\n    * [Tensorflow2官方demo](https://www.bilibili.com/video/BV1n7411T7o6)\n\n  * AlexNet（已完成）\n    * [AlexNet网络讲解](https://www.bilibili.com/video/BV1p7411T7Pc)\n    * [Pytorch搭建AlexNet](https://www.bilibili.com/video/BV1W7411T7qc)\n    * [Tensorflow2搭建Alexnet](https://www.bilibili.com/video/BV1s7411T7vs)\n\n  * VggNet（已完成）\n    * [VggNet网络讲解](https://www.bilibili.com/video/BV1q7411T7Y6)\n    * [Pytorch搭建VGG网络](https://www.bilibili.com/video/BV1i7411T7ZN)\n    * [Tensorflow2搭建VGG网络](https://www.bilibili.com/video/BV1q7411T76b)\n\n  * GoogLeNet（已完成）\n    * [GoogLeNet网络讲解](https://www.bilibili.com/video/BV1z7411T7ie)\n    * [Pytorch搭建GoogLeNet网络](https://www.bilibili.com/video/BV1r7411T7M5)\n    * [Tensorflow2搭建GoogLeNet网络](https://www.bilibili.com/video/BV1a7411T7Ht)\n\n  * ResNet（已完成）\n    * [ResNet网络讲解](https://www.bilibili.com/video/BV1T7411T7wa)\n    * [Pytorch搭建ResNet网络](https://www.bilibili.com/video/BV14E411H7Uw)\n    * [Tensorflow2搭建ResNet网络](https://www.bilibili.com/video/BV1WE41177Ya)\n\n  * ResNeXt (已完成)\n    * [ResNeXt网络讲解](https://www.bilibili.com/video/BV1Ap4y1p71v/)\n    * [Pytorch搭建ResNeXt网络](https://www.bilibili.com/video/BV1rX4y1N7tE)\n\n  * MobileNet_V1_V2（已完成）\n    * [MobileNet_V1_V2网络讲解](https://www.bilibili.com/video/BV1yE411p7L7)\n    * [Pytorch搭建MobileNetV2网络](https://www.bilibili.com/video/BV1qE411T7qZ)\n    * [Tensorflow2搭建MobileNetV2网络](https://www.bilibili.com/video/BV1NE411K7tX)\n\n  * MobileNet_V3（已完成）\n    * [MobileNet_V3网络讲解](https://www.bilibili.com/video/BV1GK4y1p7uE)\n    * [Pytorch搭建MobileNetV3网络](https://www.bilibili.com/video/BV1zT4y1P7pd)\n    * [Tensorflow2搭建MobileNetV3网络](https://www.bilibili.com/video/BV1KA411g7wX)\n\n  * ShuffleNet_V1_V2 (已完成)\n    * [ShuffleNet_V1_V2网络讲解](https://www.bilibili.com/video/BV15y4y1Y7SY)\n    * [使用Pytorch搭建ShuffleNetV2](https://www.bilibili.com/video/BV1dh411r76X)\n    * [使用Tensorflow2搭建ShuffleNetV2](https://www.bilibili.com/video/BV1kr4y1N7bh)\n\n  * EfficientNet_V1（已完成）\n    * [EfficientNet网络讲解](https://www.bilibili.com/video/BV1XK4y1U7PX)\n    * [使用Pytorch搭建EfficientNet](https://www.bilibili.com/video/BV19z4y1179h/)\n    * [使用Tensorflow2搭建EfficientNet](https://www.bilibili.com/video/BV1PK4y1S7Jf)\n\n  * EfficientNet_V2 (已完成)\n    * [EfficientNetV2网络讲解](https://www.bilibili.com/video/BV19v41157AU)\n    * [使用Pytorch搭建EfficientNetV2](https://www.bilibili.com/video/BV1Xy4y1g74u)\n    * [使用Tensorflow搭建EfficientNetV2](https://www.bilibili.com/video/BV19K4y1g7m4)\n  \n  * RepVGG（已完成）\n    * [RepVGG网络讲解](https://www.bilibili.com/video/BV15f4y1o7QR)\n\n  * Vision Transformer(已完成)\n    * [Multi-Head Attention讲解](https://www.bilibili.com/video/BV15v411W78M)\n    * [Vision Transformer网络讲解](https://www.bilibili.com/video/BV1Jh411Y7WQ)\n    * [使用Pytorch搭建Vision Transformer](https://www.bilibili.com/video/BV1AL411W7dT)\n    * [使用tensorflow2搭建Vision Transformer](https://www.bilibili.com/video/BV1q64y1X7GY)\n\n  * Swin Transformer(已完成)\n    * [Swin Transformer网络讲解](https://www.bilibili.com/video/BV1pL4y1v7jC)\n    * [使用Pytorch搭建Swin Transformer](https://www.bilibili.com/video/BV1yg411K7Yc)\n    * [使用Tensorflow2搭建Swin Transformer](https://www.bilibili.com/video/BV1bR4y1t7qT)\n\n  * ConvNeXt(已完成)\n    * [ConvNeXt网络讲解](https://www.bilibili.com/video/BV1SS4y157fu)\n    * [使用Pytorch搭建ConvNeXt](https://www.bilibili.com/video/BV14S4y1L791)\n    * [使用Tensorflow2搭建ConvNeXt](https://www.bilibili.com/video/BV1TS4y1V7Gz)\n\n  * MobileViT(已完成)\n    * [MobileViT网络讲解](https://www.bilibili.com/video/BV1TG41137sb)\n    * [使用Pytorch搭建MobileViT](https://www.bilibili.com/video/BV1ae411L7Ki)\n\n* 目标检测\n  * Faster-RCNN/FPN（已完成）\n    * [Faster-RCNN网络讲解](https://www.bilibili.com/video/BV1af4y1m7iL)\n    * [FPN网络讲解](https://www.bilibili.com/video/BV1dh411U7D9)\n    * [Faster-RCNN源码解析(Pytorch)](https://www.bilibili.com/video/BV1of4y1m7nj)\n\n  * SSD/RetinaNet (已完成)\n    * [SSD网络讲解](https://www.bilibili.com/video/BV1fT4y1L7Gi)\n    * [RetinaNet网络讲解](https://www.bilibili.com/video/BV1Q54y1L7sM)\n    * [SSD源码解析(Pytorch)](https://www.bilibili.com/video/BV1vK411H771)\n\n  * YOLO Series (已完成)\n    * [YOLO系列网络讲解(V1~V3)](https://www.bilibili.com/video/BV1yi4y1g7ro)\n    * [YOLOv3 SPP源码解析(Pytorch版)](https://www.bilibili.com/video/BV1t54y1C7ra)\n    * [YOLOV4网络讲解](https://www.bilibili.com/video/BV1NF41147So)\n    * [YOLOV5网络讲解](https://www.bilibili.com/video/BV1T3411p7zR)\n    * [YOLOX 网络讲解](https://www.bilibili.com/video/BV1JW4y1k76c)\n  \n  * FCOS（已完成）\n    * [FCOS网络讲解](https://www.bilibili.com/video/BV1G5411X7jw)\n\n* 语义分割 \n  * FCN (已完成)\n    * [FCN网络讲解](https://www.bilibili.com/video/BV1J3411C7zd)\n    * [FCN源码解析(Pytorch版)](https://www.bilibili.com/video/BV19q4y1971Q)\n\n  * DeepLabV3 (已完成)\n    * [DeepLabV1网络讲解](https://www.bilibili.com/video/BV1SU4y1N7Ao)\n    * [DeepLabV2网络讲解](https://www.bilibili.com/video/BV1gP4y1G7TC)\n    * [DeepLabV3网络讲解](https://www.bilibili.com/video/BV1Jb4y1q7j7)\n    * [DeepLabV3源码解析(Pytorch版)](https://www.bilibili.com/video/BV1TD4y1c7Wx)\n\n  * LR-ASPP (已完成)\n    * [LR-ASPP网络讲解](https://www.bilibili.com/video/BV1LS4y1M76E)\n    * [LR-ASPP源码解析(Pytorch版)](https://www.bilibili.com/video/bv13D4y1F7ML)\n  \n  * U-Net (已完成)\n    * [U-Net网络讲解](https://www.bilibili.com/video/BV1Vq4y127fB/)\n    * [U-Net源码解析(Pytorch版)](https://www.bilibili.com/video/BV1Vq4y127fB)\n  \n  * U2Net (已完成)\n    * [U2Net网络讲解](https://www.bilibili.com/video/BV1yB4y1z7mj)\n    * [U2Net源码解析(Pytorch版)](https://www.bilibili.com/video/BV1Kt4y137iS)\n\n* 实例分割\n  * Mask R-CNN（已完成）\n    * [Mask R-CNN网络讲解](https://www.bilibili.com/video/BV1ZY411774T)\n    * [Mask R-CNN源码解析(Pytorch版)](https://www.bilibili.com/video/BV1hY411E7wD)\n\n* 关键点检测\n  * DeepPose（已完成）\n    * [DeepPose网络讲解](https://www.bilibili.com/video/BV1bm421g7aJ)\n    * [DeepPose源码解析(Pytorch版)](https://www.bilibili.com/video/BV1bm421g7aJ)\n\n  * HRNet（已完成）\n    * [HRNet网络讲解](https://www.bilibili.com/video/BV1bB4y1y7qP)\n    * [HRNet源码解析(Pytorch版)](https://www.bilibili.com/video/BV1ar4y157JM)\n\n**[更多相关视频请进入我的bilibili频道查看](https://space.bilibili.com/18161609/channel/index)**\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://blog.csdn.net/qq_37541097/article/details/103482003](https://blog.csdn.net/qq_37541097/article/details/103482003)\n\n我的bilibili频道：\n[https://space.bilibili.com/18161609/channel/index](https://space.bilibili.com/18161609/channel/index)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwzmiaomiao%2Fdeep-learning-for-image-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwzmiaomiao%2Fdeep-learning-for-image-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwzmiaomiao%2Fdeep-learning-for-image-processing/lists"}