AI prompts
base on deep learning for image processing including classification and object-detection etc. # 深度学习在图像处理中的应用教程
## 前言
* 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。
* 本教程会以视频的方式进行分享，教学流程如下：
1）介绍网络的结构与创新点
2）使用Pytorch进行网络的搭建与训练
3）使用Tensorflow（内部的keras模块）进行网络的搭建与训练
* 课程中所有PPT都放在`course_ppt`文件夹下，需要的自行下载。
## 教程目录，点击跳转相应视频（后期会根据学习内容增加）
* 图像分类
* LeNet（已完成）
* [Pytorch官方demo(Lenet)](https://www.bilibili.com/video/BV187411T7Ye)
* [Tensorflow2官方demo](https://www.bilibili.com/video/BV1n7411T7o6)
* AlexNet（已完成）
* [AlexNet网络讲解](https://www.bilibili.com/video/BV1p7411T7Pc)
* [Pytorch搭建AlexNet](https://www.bilibili.com/video/BV1W7411T7qc)
* [Tensorflow2搭建Alexnet](https://www.bilibili.com/video/BV1s7411T7vs)
* VggNet（已完成）
* [VggNet网络讲解](https://www.bilibili.com/video/BV1q7411T7Y6)
* [Pytorch搭建VGG网络](https://www.bilibili.com/video/BV1i7411T7ZN)
* [Tensorflow2搭建VGG网络](https://www.bilibili.com/video/BV1q7411T76b)
* GoogLeNet（已完成）
* [GoogLeNet网络讲解](https://www.bilibili.com/video/BV1z7411T7ie)
* [Pytorch搭建GoogLeNet网络](https://www.bilibili.com/video/BV1r7411T7M5)
* [Tensorflow2搭建GoogLeNet网络](https://www.bilibili.com/video/BV1a7411T7Ht)
* ResNet（已完成）
* [ResNet网络讲解](https://www.bilibili.com/video/BV1T7411T7wa)
* [Pytorch搭建ResNet网络](https://www.bilibili.com/video/BV14E411H7Uw)
* [Tensorflow2搭建ResNet网络](https://www.bilibili.com/video/BV1WE41177Ya)
* ResNeXt (已完成)
* [ResNeXt网络讲解](https://www.bilibili.com/video/BV1Ap4y1p71v/)
* [Pytorch搭建ResNeXt网络](https://www.bilibili.com/video/BV1rX4y1N7tE)
* MobileNet_V1_V2（已完成）
* [MobileNet_V1_V2网络讲解](https://www.bilibili.com/video/BV1yE411p7L7)
* [Pytorch搭建MobileNetV2网络](https://www.bilibili.com/video/BV1qE411T7qZ)
* [Tensorflow2搭建MobileNetV2网络](https://www.bilibili.com/video/BV1NE411K7tX)
* MobileNet_V3（已完成）
* [MobileNet_V3网络讲解](https://www.bilibili.com/video/BV1GK4y1p7uE)
* [Pytorch搭建MobileNetV3网络](https://www.bilibili.com/video/BV1zT4y1P7pd)
* [Tensorflow2搭建MobileNetV3网络](https://www.bilibili.com/video/BV1KA411g7wX)
* ShuffleNet_V1_V2 (已完成)
* [ShuffleNet_V1_V2网络讲解](https://www.bilibili.com/video/BV15y4y1Y7SY)
* [使用Pytorch搭建ShuffleNetV2](https://www.bilibili.com/video/BV1dh411r76X)
* [使用Tensorflow2搭建ShuffleNetV2](https://www.bilibili.com/video/BV1kr4y1N7bh)
* EfficientNet_V1（已完成）
* [EfficientNet网络讲解](https://www.bilibili.com/video/BV1XK4y1U7PX)
* [使用Pytorch搭建EfficientNet](https://www.bilibili.com/video/BV19z4y1179h/)
* [使用Tensorflow2搭建EfficientNet](https://www.bilibili.com/video/BV1PK4y1S7Jf)
* EfficientNet_V2 (已完成)
* [EfficientNetV2网络讲解](https://b23.tv/NDR7Ug)
* [使用Pytorch搭建EfficientNetV2](https://b23.tv/M4hagB)
* [使用Tensorflow搭建EfficientNetV2](https://b23.tv/KUPbdr)
* RepVGG（已完成）
* [RepVGG网络讲解](https://www.bilibili.com/video/BV15f4y1o7QR)
* Vision Transformer(已完成)
* [Multi-Head Attention讲解](https://b23.tv/gucpvt)
* [Vision Transformer网络讲解](https://www.bilibili.com/video/BV1Jh411Y7WQ)
* [使用Pytorch搭建Vision Transformer](https://b23.tv/TT4VBM)
* [使用tensorflow2搭建Vision Transformer](https://www.bilibili.com/video/BV1q64y1X7GY)
* Swin Transformer(已完成)
* [Swin Transformer网络讲解](https://www.bilibili.com/video/BV1pL4y1v7jC)
* [使用Pytorch搭建Swin Transformer](https://b23.tv/vZnpJf)
* [使用Tensorflow2搭建Swin Transformer](https://b23.tv/UHLMSF)
* ConvNeXt(已完成)
* [ConvNeXt网络讲解](https://www.bilibili.com/video/BV1SS4y157fu)
* [使用Pytorch搭建ConvNeXt](https://b23.tv/gzpCv5z)
* [使用Tensorflow2搭建ConvNeXt](https://b23.tv/zikVoch)
* MobileViT(已完成)
* [MobileViT网络讲解](https://www.bilibili.com/video/BV1TG41137sb)
* [使用Pytorch搭建MobileViT](https://www.bilibili.com/video/BV1ae411L7Ki)
* 目标检测
* Faster-RCNN/FPN（已完成）
* [Faster-RCNN网络讲解](https://www.bilibili.com/video/BV1af4y1m7iL)
* [FPN网络讲解](https://b23.tv/Qhn6xA)
* [Faster-RCNN源码解析(Pytorch)](https://www.bilibili.com/video/BV1of4y1m7nj)
* SSD/RetinaNet (已完成)
* [SSD网络讲解](https://www.bilibili.com/video/BV1fT4y1L7Gi)
* [RetinaNet网络讲解](https://b23.tv/ZYCfd2)
* [SSD源码解析(Pytorch)](https://www.bilibili.com/video/BV1vK411H771)
* YOLO Series (已完成)
* [YOLO系列网络讲解(V1~V3)](https://www.bilibili.com/video/BV1yi4y1g7ro)
* [YOLOv3 SPP源码解析(Pytorch版)](https://www.bilibili.com/video/BV1t54y1C7ra)
* [YOLOV4网络讲解](https://b23.tv/WLptQ7Q)
* [YOLOV5网络讲解](https://www.bilibili.com/video/BV1T3411p7zR)
* [YOLOX 网络讲解](https://www.bilibili.com/video/BV1JW4y1k76c)
* FCOS（已完成）
* [FCOS网络讲解](https://www.bilibili.com/video/BV1G5411X7jw)
* 语义分割
* FCN (已完成)
* [FCN网络讲解](https://www.bilibili.com/video/BV1J3411C7zd)
* [FCN源码解析(Pytorch版)](https://www.bilibili.com/video/BV19q4y1971Q)
* DeepLabV3 (已完成)
* [DeepLabV1网络讲解](https://www.bilibili.com/video/BV1SU4y1N7Ao)
* [DeepLabV2网络讲解](https://www.bilibili.com/video/BV1gP4y1G7TC)
* [DeepLabV3网络讲解](https://www.bilibili.com/video/BV1Jb4y1q7j7)
* [DeepLabV3源码解析(Pytorch版)](https://www.bilibili.com/video/BV1TD4y1c7Wx)
* LR-ASPP (已完成)
* [LR-ASPP网络讲解](https://www.bilibili.com/video/BV1LS4y1M76E)
* [LR-ASPP源码解析(Pytorch版)](https://www.bilibili.com/video/bv13D4y1F7ML)
* U-Net (已完成)
* [U-Net网络讲解](https://www.bilibili.com/video/BV1Vq4y127fB/)
* [U-Net源码解析(Pytorch版)](https://b23.tv/PCJJmqN)
* U2Net (已完成)
* [U2Net网络讲解](https://www.bilibili.com/video/BV1yB4y1z7mj)
* [U2Net源码解析(Pytorch版)](https://www.bilibili.com/video/BV1Kt4y137iS)
* 实例分割
* Mask R-CNN（已完成）
* [Mask R-CNN网络讲解](https://www.bilibili.com/video/BV1ZY411774T)
* [Mask R-CNN源码解析(Pytorch版)](https://www.bilibili.com/video/BV1hY411E7wD)
* 关键点检测
* DeepPose（已完成）
* [DeepPose网络讲解](https://www.bilibili.com/video/BV1bm421g7aJ)
* [DeepPose源码解析(Pytorch版)](https://www.bilibili.com/video/BV1bm421g7aJ)
* HRNet（已完成）
* [HRNet网络讲解](https://www.bilibili.com/video/BV1bB4y1y7qP)
* [HRNet源码解析(Pytorch版)](https://www.bilibili.com/video/BV1ar4y157JM)
**[更多相关视频请进入我的bilibili频道查看](https://space.bilibili.com/18161609/channel/index)**
---
## 所需环境
* Anaconda3（建议使用）
* python3.6/3.7/3.8
* pycharm (IDE)
* pytorch 1.10 (pip package)
* torchvision 0.11.1 (pip package)
* tensorflow 2.4.1 (pip package)
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。
如果有什么问题，也可以到我的CSDN中一起讨论。
[https://blog.csdn.net/qq_37541097/article/details/103482003](https://blog.csdn.net/qq_37541097/article/details/103482003)
我的bilibili频道：
[https://space.bilibili.com/18161609/channel/index](https://space.bilibili.com/18161609/channel/index)
", Assign "at most 3 tags" to the expected json: {"id":"6075","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"