字符个数:8,字符分类数目:81
https://blog.csdn.net/u012206617/article/details/89850280 | (2条消息) C/C++语言以某符号分割字符串_墨痕诉清风的博客-CSDN博客_c 字符串分割
https://zhuanlan.zhihu.com/p/336081587 | MMCV 核心组件分析(一):整体概述 - 知乎
https://www.jianshu.com/p/52d6a8e96a93 | 机器学习 | 优化——动量优化法(更新方向优化) - 简书
https://zhuanlan.zhihu.com/p/360067653 | 这篇CVPR文章真是妙蛙种子到了妙妙屋 - 知乎
https://www.baidu.com/s?ie=UTF-8&wd=atss | atss_百度搜索
https://zhuanlan.zhihu.com/p/115407465 | ATSS : 目标检测的自适应正负anchor选择,很扎实的trick | CVPR 2020 - 知乎
https://www.baidu.com/s?wd=ssd%E6%AD%A3%E8%B4%9F%E6%A0%B7%E6%9C%AC&pn=10&oq=ssd%E6%AD%A3%E8%B4%9F%E6%A0%B7%E6%9C%AC&ie=utf-8&usm=2&rsv_pq=d60493c0000006be&rsv_t=cd6dknLuFssS5MdLQ4Q4wADvsD2TR%2B94Oz1cFaBWQzZEeugMOMNCJs8brd0&rsv_page=1 | ssd正负样本_百度搜索
https://www.pianshen.com/article/68591886305/ | SSD系列算法原理讲解----(2)Prior Box Layer、样本构造、损失函数介绍(笔记) - 程序员大本营
https://www.sohu.com/a/168738025_717210 | SSD: Single Shot MultiBox Detector 深度学习笔记之SSD物体检测模型
https://github.com/DingXiaoH/DiverseBranchBlock/blob/main/README.md | DiverseBranchBlock/README.md at main · DingXiaoH/DiverseBranchBlock
https://www.zhihu.com/search?type=content&q=transformer | transformer - 搜索结果 - 知乎
https://bitjoy.net/2020/03/04/cs224n%ef%bc%882-21%ef%bc%89transformers-and-self-attention-for-generative-models/ | CS224N(2.21)Transformers and Self-Attention For Generative Models | bitJoy
http://jalammar.github.io/illustrated-transformer/ | The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.
http://www.visigrapp.org/Documents/Previous_Invited_Speakers/2016/VISIGRAPP2016_Murino.pdf | Groups and Crowds: Detection, Tracking and Behavior Analysis of People Aggregations
https://arxiv.org/pdf/2003.12783.pdf | 2003.12783.pdf
https://zhuanlan.zhihu.com/p/356155277 | "未来"的经典之作ViT:transformer is all you need! - 知乎
https://www.zhihu.com/people/xiaohuzc/posts | 小小将 - 知乎
https://blog.csdn.net/xiaohu2022 | (2条消息) 小白将_我是小将_CSDN博客-DeepLearning,计算机视觉,卷积神经网络领域博主
https://github.com/jeonsworld/ViT-pytorch | jeonsworld/ViT-pytorch: Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/vision_transformer.py | pytorch-image-models/vision_transformer.py at master · rwightman/pytorch-image-models
https://github.com/microsoft/Swin-Transformer | microsoft/Swin-Transformer: This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=windows+docker+%E5%AE%89%E8%A3%85&oq=docker%2520%25E5%25AE%2589%25E8%25A3%2585&rsv_pq=eb5d69f2002330e1&rsv_t=15f9bi91dmY6xw8P3gLUgcPrnw%2BXgdRDwmzwUyE599j345tLF96tp4kPqww&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=2522 | windows docker 安装_百度搜索
https://www.runoob.com/docker/windows-docker-install.html | Windows Docker 安装 | 菜鸟教程
https://www.zhihu.com/question/457926000 | (42 封私信 / 80 条消息) 如何评价Google提出的MLP-Mixer:只需要MLP就可以在ImageNet上达到SOTA? - 知乎
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=docker&oq=docker%2520pull&rsv_pq=9f3c6cc600048c3f&rsv_t=fcd2xyZ9GxmLNktubktrc7P5MkgPgzrh4lyN%2BIzLrYK9xAMPBI%2FuQfAviXA&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=1127 | docker_百度搜索
https://www.runoob.com/docker/docker-container-usage.html | Docker 容器使用 | 菜鸟教程
https://www.baidu.com/s?ie=UTF-8&wd=docker%20export | docker export_百度搜索
https://blog.csdn.net/liukuan73/article/details/78089138 | docker save与docker export的区别_liukuan73的专栏-CSDN博客_docker export
https://github.com/lucidrains/mlp-mixer-pytorch/blob/main/mlp_mixer_pytorch/mlp_mixer_pytorch.py | mlp-mixer-pytorch/mlp_mixer_pytorch.py at main · lucidrains/mlp-mixer-pytorch
https://www.baidu.com/s?ie=UTF-8&wd=cudaSetDevice | cudaSetDevice_百度搜索
https://onedrive.live.com/?authkey=%21AMJgSWpTp33cVKg&cid=FEC1357F65F50128&id=FEC1357F65F50128%212342&parId=root&action=locate
https://arxiv.org/pdf/2010.11929.pdf | 2010.11929.pdf
https://www.baidu.com/s?ie=UTF-8&wd=AN%20IMAGE%20IS%20WORTH%2016X16%20WORDS | AN IMAGE IS WORTH 16X16 WORDS_百度搜索
https://blog.csdn.net/fanzonghao/article/details/111624225 | AN IMAGE IS WORTH 16X16 WORDS :TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE(VIT)_DL_fan的博客-CSDN博客
https://blog.csdn.net/Cris_Cheng/article/details/110797019?utm_medium=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control&dist_request_id=56373bb8-d9e7-4f31-9a67-b779f53ad8ff&depth_1-utm_source=distribute.pc_relevant.none-task-blog-BlogCommendFromMachineLearnPai2-1.control | (1条消息) AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE_是云晓不是晓云阿-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=nohup | nohup_百度搜索
https://www.cnblogs.com/baby123/p/6477429.html | nohup和&后台运行,进程查看及终止 - 慕尘 - 博客园
https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.0/doc/doc_ch/FAQ.md | PaddleOCR/FAQ.md at release/2.0 · PaddlePaddle/PaddleOCR
https://github.com/xingyizhou/UniDet | xingyizhou/UniDet: Object detection on multiple datasets with an automatically learned unified label space.
https://blog.csdn.net/ft_sunshine/article/details/100009341 | (1条消息) 目标检测中的mAP及代码实现_aift的专栏-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=coco%20results | coco results_百度搜索
https://blog.csdn.net/u014734886/article/details/78831382 | (1条消息) MS COCO数据集输出数据的结果格式(result format)和如何参加比赛(participate)(来自官网)_南国那片枫叶的博客-CSDN博客
https://github.com/JasonDu1993/maskrcnn-benchmark/blob/master/maskrcnn_benchmark/data/datasets/evaluation/coco/coco_eval.py | maskrcnn-benchmark/coco_eval.py at master · JasonDu1993/maskrcnn-benchmark
https://github.com/hpc203/nanodet-opncv-dnn-cpp-python/blob/main/main.cpp | nanodet-opncv-dnn-cpp-python/main.cpp at main · hpc203/nanodet-opncv-dnn-cpp-python
https://github.com/rwightman/pytorch-image-models | rwightman/pytorch-image-models: PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
https://blog.csdn.net/lilai619/article/details/113186557 | (1条消息) 深度学习:RepVGG-caffe_微风❤水墨-CSDN博客
https://github.com/Li-Lai/RepVGG-caffe | Li-Lai/RepVGG-caffe: 此网只应天上有,人间能得几回训Making VGG-style ConvNets Great Again (Caffe)
https://www.baidu.com/s?ie=UTF-8&wd=pytorch%20%E5%A4%9A%E5%8D%A1%E8%AE%AD%E7%BB%83%E7%9A%84%E6%A8%A1%E5%9E%8B%E5%8D%95%E5%8D%A1%E9%83%A8%E7%BD%B2 | pytorch 多卡训练的模型单卡部署_百度搜索
https://zhidao.baidu.com/question/84230336.html | C语言中一般是怎么打印出字符数组的?_百度知道
https://www.baidu.com/s?ie=UTF-8&wd=C%E8%AF%AD%E8%A8%80segmentation%20fault | C语言segmentation fault_百度搜索
https://zhidao.baidu.com/question/1372805792788306299.html | c语言代码出现segmentation fault 的原因是什么?_百度知道
https://www.google.com.hk/search?q=tkinter%E5%9B%BE%E5%83%8F%E6%A0%87%E6%B3%A8%E5%B7%A5%E5%85%B7&newwindow=1&safe=active&sxsrf=ALeKk00092prcRY8aCts2rerV9B_1eSDfw:1610530023955&ei=57z-X8XsOfC_0PEPiPCbyA0&start=10&sa=N&ved=2ahUKEwiF_Ojvy5juAhXwHzQIHQj4BtkQ8NMDegQIBhBI&biw=1920&bih=937 | tkinter图像标注工具 - Google Search
https://open.youtu.qq.com/#/open/experience/vehicleattribute | 腾讯优图AI开放平台 — 顶级的人工智能服务,多元化的行业解决方案
https://arxiv.org/pdf/1908.01998.pdf | 1908.01998.pdf
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=yolo+to+caffe&oq=yolo&rsv_pq=ff4fa1c3000fa654&rsv_t=83a5rQY8l02wpLRTtUBQhuLMsRZkFoGRb1IqCol3OiNbRXtWINzNgTUiOL8&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=4201 | yolo to caffe_百度搜索
http://www.voidcn.com/search/dytarf | yolov2 to caffe - 程序园
http://www.voidcn.com/article/p-xxgciknk-bmr.html | yolov2的cfg转换成caffe的prototxt - 程序园
https://zhuanlan.zhihu.com/p/121062401 | 基于Attention-RPN和Multi-Relation Detector的少样本目标检测 - 知乎
https://www.google.com.hk/search?newwindow=1&safe=active&biw=1920&bih=937&sxsrf=ALeKk03p7joyqCauulTzCpMNwVbep4R4ZA%3A1611647647474&ei=n8oPYMymHJTo9APw5qnYCg&q=vehicle+make+and+model+recognition+dataset&oq=vehicle+make+and+model+&gs_lcp=CgZwc3ktYWIQARgFMgIIADICCAAyAggAMgIIADICCAAyBwgAEBQQhwIyBwgAEBQQhwIyAggAMgIIADICCAA6BwgjELADECc6BwgAEEcQsAM6BAgjECc6BggAEBYQHjoFCAAQkQI6BQgAELEDOgUIABDJAzoFCAAQkgM6CAgAELEDEIMBOggIABCxAxCRAjoKCAAQsQMQFBCHAjoFCCEQoAE6BAgAEA1Q080BWO23AmDj6wJoCHACeAKAAbIGiAHXUZIBCjMtMjQuMS4yLjGYAQCgAQGqAQdnd3Mtd2l6yAEJwAEB&sclient=psy-ab | vehicle make and model recognition dataset - Google Search
https://openaccess.thecvf.com/content_cvpr_2017_workshops/w9/papers/Tafazzoli_A_Large_and_CVPR_2017_paper.pdf | A Large and Diverse Dataset for Improved Vehicle Make and Model Recognition
https://www.dropbox.com/s/uwa7c5uz7cac7cw/VMMRdb.zip?dl=0 | VMMRdb.zip
https://www.kaggle.com/abhishektyagi001/vehicle-make-model-recognition-dataset-vmmrdb?select=Dataset | Vehicle Make, Model Recognition Dataset (VMMRdb) | Kaggle
https://platerecognizer.com/vehicle-make-model-recognition-with-color/ | Vehicle Make Model Recognition with Color | Plate Recognizer ALPR
https://github.com/DingXiaoH/RepVGG | DingXiaoH/RepVGG: RepVGG: Making VGG-style ConvNets Great Again
https://github.com/megvii-model/RepVGG | megvii-model/RepVGG
https://github.com/upczww/TensorRT-RepVGG/blob/master/repvgg.cpp | TensorRT-RepVGG/repvgg.cpp at master · upczww/TensorRT-RepVGG
https://www.baidu.com/s?ie=UTF-8&wd=fcos | fcos_百度搜索
https://github.com/xingyizhou/CenterNet/blob/2b7692c377c6686fb35e473dac2de6105eed62c6/src/test.py | CenterNet/test.py at 2b7692c377c6686fb35e473dac2de6105eed62c6 · xingyizhou/CenterNet
https://sourcegraph.com/github.com/xingyizhou/CenterNet@2b7692c377c6686fb35e473dac2de6105eed62c6/-/blob/src/lib/datasets/dataset/coco.py | coco.py - xingyizhou/CenterNet - Sourcegraph
https://www.baidu.com/s?ie=UTF-8&wd=cocoapi%E6%B5%8Bmap | cocoapi测map_百度搜索
https://blog.csdn.net/qq_40527427/article/details/106166842?utm_medium=distribute.pc_aggpage_search_result.none-task-blog-2~aggregatepage~first_rank_v2~rank_aggregation-10-106166842.pc_agg_rank_aggregation&utm_term=coco+%E8%AE%A1%E7%AE%97map&spm=1000.2123.3001.4430 | 调用pycocotools计算mAP_J_M1的博客-CSDN博客
https://blog.csdn.net/weixin_47667342/article/details/108464040?utm_medium=distribute.pc_aggpage_search_result.none-task-blog-2~aggregatepage~first_rank_v2~rank_aggregation-7-108464040.pc_agg_rank_aggregation&utm_term=coco+%E8%AE%A1%E7%AE%97map&spm=1000.2123.3001.4430 | 利用COCO数据集对YOLOv3进行性能测试,计算mAP值,绘制PR曲线_程序猿未进化的博客-CSDN博客
https://www.zhihu.com/search?type=content&q=ssd%E7%BD%91%E7%BB%9C | ssd网络 - 搜索结果 - 知乎
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk01upA_OLmoyLKzLU-p5jgOW9ldF9w%3A1609230721847&source=hp&ei=genqX7u-MKDP0PEPprK60A0&q=peleenet&oq=&gs_lcp=CgZwc3ktYWIQARgAMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnMgcIIxDqAhAnUABYAGDfLmgBcAB4AIABAIgBAJIBAJgBAKoBB2d3cy13aXqwAQo&sclient=psy-ab | peleenet - Google Search
https://github.com/Robert-JunWang/Pelee/blob/master/model/voc/solver_merged.prototxt | Pelee/solver_merged.prototxt at master · Robert-JunWang/Pelee
https://www.baidu.com/s?ie=UTF-8&wd=ssd%20detectionout | ssd detectionout_百度搜索
https://blog.csdn.net/dan_teng/article/details/81561783 | ssd网络详解之detection output layer_dan_teng的博客-CSDN博客
https://github.com/weiliu89/caffe/blob/ssd/examples/ssd/ssd_detect.py | caffe/ssd_detect.py at ssd · weiliu89/caffe
https://www.baidu.com/s?ie=UTF-8&wd=ssd%20min_size%20max_size | ssd min_size max_size_百度搜索
https://blog.csdn.net/a8039974/article/details/77592395 | CNN目标检测(三):SSD详解_浩瀚之水的专栏-CSDN博客
https://github.com/tzutalin/labelImg | tzutalin/labelImg: 🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=labelimg+exe&oq=labelme%2520exe&rsv_pq=d511ba59000705f7&rsv_t=e92br8KngTQKuvqMmpDs74mO6CfCRRr%2B8eweI7FPevjO8CgJhV2o%2FZXBmc8&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=1839 | labelimg exe_百度搜索
https://zhuanlan.zhihu.com/p/97807042 | window--从源码编译labelImg--目标检测标注工具 - 知乎
https://blog.csdn.net/liuweiyuxiang/article/details/83831184 | 一文彻底解决python2的乱码问题_Lavi的专栏-CSDN博客_python2 中文乱码
https://www.baidu.com/s?ie=utf-8&f=3&rsv_bp=1&ch=&tn=baidu&bar=&wd=python2+%E8%AF%BB%E5%8F%96%E4%B8%AD%E6%96%87%E6%96%87%E4%BB%B6&oq=Type%2526gt%253Brror%253A%2520%2526%252339%253Bencoding%2526%252339%253B%2520is%2520an%2520invalid%2520keyword%2520argument%2520for%2520this%2520function&rsv_pq=907a08d700721971&rsv_t=817bhhuquHjDfPsGluJMNpQIr1zbgR3c%2BYOTguN6GZ7QFFdLbo9aFpCtOn8&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=7564 | python2 读取中文文件_百度搜索
https://www.cnblogs.com/fierydragon/p/10450927.html | python2 关于读取文件中含有中文的文字片段 - 名字长了很拉风 - 博客园
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=python+Tkinter&oq=python%2520%25E7%2595%258C%25E9%259D%25A2&rsv_pq=84a856fb0004ecaa&rsv_t=3adee3BSIGtAKUMvoXVe14O0RuNn26fptEysM%2BbjqIA6uw%2BOa%2F7oGhisgjw&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=6267 | python Tkinter_百度搜索
https://www.runoob.com/python/python-gui-tkinter.html | Python GUI 编程(Tkinter) | 菜鸟教程
https://www.baidu.com/s?wd=Tkinter%20%E6%A0%87%E6%B3%A8%E5%9B%BE%E7%89%87&pn=10&oq=Tkinter%20%E6%A0%87%E6%B3%A8%E5%9B%BE%E7%89%87&ie=utf-8&usm=1&rsv_pq=ee56ba350000e5b3&rsv_t=da82%2F2tb%2B6WgWnRR03oZUGlzKL3gSy3BZzauU3%2FXq1JZRcO1ahCaInTskx4 | Tkinter 标注图片_百度搜索
https://blog.csdn.net/oppo62258801/article/details/69951249 | 深度学习python图像标记工具labelTool_数据之美的博客-CSDN博客
https://blog.csdn.net/u011888840/article/details/109765903 | python ---深度学习图片标记小工具_shadowsland的专栏-CSDN博客_python图片标记工具
https://github.com/shadoweason/ImageLabel/blob/master/labelTool.py | ImageLabel/labelTool.py at master · shadoweason/ImageLabel
https://www.jianshu.com/p/ff039a58c5b1 | Python实现一个简单的图片物体标注工具 - 简书
https://www.jb51.net/article/157968.htm | python实现简单图片物体标注工具_python_脚本之家
https://blog.csdn.net/boboelec/article/details/103174442 | Python tkinter 打开本地图片进行矩形框标注_boboelec的博客-CSDN博客_python打开本地图片
https://www.baidu.com/s?wd=labelme%E4%BA%8C%E6%AC%A1%E5%BC%80%E5%8F%91&rsf=11630017&rsp=2&f=1&oq=labelme&ie=utf-8&usm=1&rsv_pq=fb8f930000005469&rsv_t=cc56SjrhLYzTJ6%2Fxuwa0B01qGFyTYER9m0hZTA7v%2Fa5S2vN%2B%2BqECgk6I4EM&rqlang=cn&rs_src=0 | labelme二次开发_百度搜索
https://github.com/CSSE120StartingCode/TkinterPractice/blob/master/more_examples/m9e_top_level_windows.py | TkinterPractice/m9e_top_level_windows.py at master · CSSE120StartingCode/TkinterPractice
https://blog.csdn.net/hahajinbu/article/details/81940355 | (1条消息) 自然语言处理中的Attention机制总结_CODE and POEM-CSDN博客_attention
https://zhuanlan.zhihu.com/p/53682800 | nlp中的Attention注意力机制+Transformer详解 - 知乎
https://www.zhihu.com/question/68482809 | (30 封私信 / 42 条消息) 目前主流的attention方法都有哪些? - 知乎
https://www.baidu.com/s?ie=UTF-8&wd=attention | attention_百度搜索
https://zhuanlan.zhihu.com/p/44121378 | 【NLP】Transformer模型原理详解 - 知乎
https://www.jianshu.com/p/7caac6b500e3 | OpenCV图像处理 - 为图像添加Logo - 简书
https://www.cnblogs.com/buzhizhitong/p/5918504.html | Python OpenCV —— bitwise - 不秩稚童 - 博客园
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=opencv+python+bitwise&oq=opencv%2520python%2520add%2520logo&rsv_pq=8812f45900013add&rsv_t=f7fawY3cZBhnjPDfmM%2Fk5GN5nAOFfp7v8F1WaRqf4nTWgnKIIz%2B3L7bWXgA&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=6205 | opencv python bitwise_百度搜索
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https://www.baidu.com/s?ie=UTF-8&wd=cv2.seamlessClone | cv2.seamlessClone_百度搜索
http://www.manongjc.com/article/29861.html | python opencv 将一张图片无缝合成到另一张图片中 - 码农教程
https://blog.csdn.net/xunan003/article/details/89155855 | caffe中 对caffemodel进行结构修改并保存_xunan003的博客-CSDN博客
https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_filtering/py_filtering.html | Smoothing Images — OpenCV-Python Tutorials 1 documentation
https://www.baidu.com/s?ie=UTF-8&wd=ERFNet-E2E | ERFNet-E2E_百度搜索
https://zhuanlan.zhihu.com/p/180247957?utm_source=wechat_session | 车道线检测相关文献调研总结 - 知乎
https://www.baidu.com/s?ie=UTF-8&wd=Spatial%20As%20Deep%3A%20Spatial%20CNN%20for%20Traffic%20Scene%20Understanding | Spatial As Deep: Spatial CNN for Traffic Scene Understanding_百度搜索
https://blog.csdn.net/u011974639/article/details/79580798 | 语义分割--(SCNN)Spatial As Deep: Spatial CNN for Traffic Scene Understanding_DFan的NoteBook-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=Ultra%20Fast%20Structure-aware%20Deep%20Lane%20Detection | Ultra Fast Structure-aware Deep Lane Detection_百度搜索
https://blog.csdn.net/zhuziyu_edward/article/details/108492047 | 论文解读Ultra Fast Structure-aware Deep Lane Detection_zhuziyu_edward的博客-CSDN博客
https://www.zhihu.com/search?type=content&q=%E8%BD%A6%E9%81%93%E7%BA%BF%E8%B0%83%E7%A0%94 | (28 封私信 / 99 条消息) 车道线调研 - 搜索结果 - 知乎
https://github.com/harryhan618/SCNN_Pytorch | harryhan618/SCNN_Pytorch: Pytorch implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding"
https://www.google.com.hk/search?q=lane+detection+dataset&newwindow=1&safe=active&sxsrf=ALeKk01fXxBuce0uUopmhA7_bbmtrGqQfA:1604912014883&ei=jgOpX7KfNe7K0PEPuL66yAc&start=30&sa=N&ved=2ahUKEwiynquUi_XsAhVuJTQIHTifDnk4FBDw0wN6BAgJEEI&biw=1920&bih=888 | lane detection dataset - Google Search
https://awesomeopensource.com/project/cardwing/Codes-for-Lane-Detection | Codes For Lane Detection
https://github.com/amusi/awesome-lane-detection | amusi/awesome-lane-detection: A paper list of lane detection.
https://blog.csdn.net/moxibingdao/article/details/109634882 | Transformer 又立功了!又快(420 fps)又好的车道线检测算法_我爱计算机视觉-CSDN博客
https://www.zhihu.com/search?type=content&q=transform | (28 封私信 / 80 条消息) transform - 搜索结果 - 知乎
https://www.baidu.com/s?ie=UTF-8&wd=nlp%20transform | nlp transform_百度搜索
https://zhuanlan.zhihu.com/p/94998435?from_voters_page=true | NLP——图解认识transformer全貌,想知道的都在这 - 知乎
https://zhuanlan.zhihu.com/p/44121378 | 【NLP】Transformer模型原理详解 - 知乎
https://github.com/Ewenwan/MVision/tree/master/CNN/Deep_Compression/quantization | MVision/CNN/Deep_Compression/quantization at master · Ewenwan/MVision
https://www.baidu.com/s?wd=opencv%20%E5%9B%BE%E5%83%8F%E5%90%88%E6%88%90&pn=10&oq=opencv%20%E5%9B%BE%E5%83%8F%E5%90%88%E6%88%90&ie=utf-8&usm=1&rsv_pq=b60d0cb70000a646&rsv_t=8eb1Mysc%2FtS%2BTtiyKaNs2U7xc1ZJLABHLI93FIVQzTTTKlHjPyPwOSggk64&rsv_page=1 | opencv 图像合成_百度搜索
http://www.manongjc.com/article/29861.html | python opencv 将一张图片无缝合成到另一张图片中 - 码农教程
https://www.baidu.com/s?ie=UTF-8&wd=seamlessClone | seamlessClone_百度搜索
https://blog.csdn.net/u012348774/article/details/81229281 | OpenCV:seamlessClone泊松融合(C++/Python)_Yan-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=LambdaNetworks | LambdaNetworks_百度搜索
https://github.com/MisterBooo/LeetCodeAnimation | MisterBooo/LeetCodeAnimation: Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
https://github.com/grandyang/leetcode/issues/10 | [LeetCode] 10. Regular Expression Matching · Issue #10 · grandyang/leetcode
https://blog.csdn.net/wise18146705004/article/details/79296753 | new 和 delete 的用法完美解析_wise18146705004的博客-CSDN博客
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https://www.baidu.com/s?ie=UTF-8&wd=culane | culane_百度搜索
https://blog.csdn.net/ilovejohnny/article/details/89056578 | CV | SCNN: Spatial CNN for Traffic Lane Detection 车道线检测算法SCNN“最全的”学习笔记_iLOVEJohnny的博客-CSDN博客
https://arxiv.org/pdf/1712.06080.pdf | 2018 Formatting Instructions for Authors Using LaTeX
https://xingangpan.github.io/projects/CULane.html | CULane Dataset
https://github.com/cfzd/Ultra-Fast-Lane-Detection | cfzd/Ultra-Fast-Lane-Detection: Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)
https://github.com/topics/fire-detection | fire-detection · GitHub Topics
https://github.com/steffensbola/furg-fire-dataset | steffensbola/furg-fire-dataset: A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based fire detectors.
https://zhuanlan.zhihu.com/p/149990073 | 分享一批标注好的火焰图像数据 - 知乎
https://docs.microsoft.com/zh-cn/cpp/standard-library/unordered-map-class?view=vs-2019 | unordered_map 类 | Microsoft Docs
https://mp.weixin.qq.com/s/WDq8tUpfiKHNC6y_8pgHoA | BERT大火却不懂Transformer?读这一篇就够了
https://www.zhihu.com/column/JeemyJohn | 机器学习算法工程师 - 知乎
https://developer.nvidia.com/blog/cuda-pro-tip-write-flexible-kernels-grid-stride-loops/ | CUDA Pro Tip: Write Flexible Kernels with Grid-Stride Loops | NVIDIA Developer Blog
https://developer.nvidia.com/cuda-toolkit | CUDA Toolkit | NVIDIA Developer
https://docs.nvidia.com/cuda/cuda-samples/index.html | CUDA Samples :: CUDA Toolkit Documentation
https://docs.nvidia.com/pdf/CUDA_C_Programming_Guide.pdf | CUDA C++ Programming Guide
https://www.baidu.com/s?ie=UTF-8&wd=blockid%20blockdim | blockid blockdim_百度搜索
https://www.cnblogs.com/rainbow70626/p/6498738.html?utm_source=itdadao&utm_medium=referral | GPU CUDA编程中threadIdx, blockIdx, blockDim, gridDim之间的区别与联系 - rainbow70626 - 博客园
https://www.zhihu.com/people/jie-geng-74-4-4 | (20 封私信 / 75 条消息) sisiyou - 知乎
https://github.com/tobybreckon/fire-detection-cnn | tobybreckon/fire-detection-cnn: real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
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https://github.com/topics/fire-detection | fire-detection · GitHub Topics
https://github.com/gengyanlei/fire-detect-yolov4 | gengyanlei/fire-detect-yolov4: fire-smoke-detection-dataset and fire-detection-yolov4 (with xml annotations),包含爬虫代码。
https://www.kaggle.com/search?q=fire+datasetSize%3Amedium | Search | Kaggle
https://www.zhihu.com/question/395253629 | (20 封私信 / 70 条消息) 火灾目标检测标注,想要可以检测到火焰和烟雾? - 知乎
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https://pytorch.org/docs/stable/torchvision/transforms.html | torchvision.transforms — PyTorch 1.6.0 documentation
https://ai.kedacom.com:8008/data-training/#/view/taskList | 深度学习
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https://ai.kedacom.com:8008/data-training/#/view/fileManage | 深度学习
https://pytorch.org/tutorials/recipes/recipes/custom_dataset_transforms_loader.html | Developing Custom PyTorch Dataloaders — PyTorch Tutorials 1.6.0 documentation
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https://zhuanlan.zhihu.com/c_1188568938097819648 | CUDA编程入门 - 知乎
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https://blog.csdn.net/heiheiya/article/details/82019309 | 【CUDA】CUDA编程:__global__函数执行配置_heiheiya的博客-CSDN博客
https://blog.csdn.net/Aidam_Bo/article/details/88430765 | cuda 函数前缀:__device__、__global__、__host__ 相关问题_YBAdiam的博客-CSDN博客
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https://github.com/CaoWGG/TensorRT-CenterNet/blob/master/src/ctdetNet.cpp | TensorRT-CenterNet/ctdetNet.cpp at master · CaoWGG/TensorRT-CenterNet
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https://www.cnblogs.com/HongjianChen/p/9450987.html | 关于Pytorch的二维tensor的gather和scatter_操作用法分析 - 星辰之衍 - 博客园
https://www.cnblogs.com/dogecheng/p/11938009.html | PyTorch笔记之 scatter() 函数 - 那少年和狗 - 博客园
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https://www.baidu.com/s?ie=UTF-8&wd=To%20learn%20image%20super-resolution,%20use%20a%20GAN%20to%20learn%20how%20to%20do%20image%20degradation | To learn image super-resolution, use a GAN to learn how to do image degradat_百度搜索
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https://www.baidu.com/s?ie=utf-8&f=3&rsv_bp=1&ch=&tn=baidu&bar=&wd=caffe%E6%BA%90%E7%A0%81%E8%A7%A3%E6%9E%90&oq=image_data_layer&rsv_pq=b437ee7500145483&rsv_t=7a3aqDNWPL24f%2Bms71%2BFmTfLwfuai0DYqpFLL%2Be3FT3sl26Ehje8YA53deM&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=6811 | caffe源码解析_百度搜索
https://blog.csdn.net/zhenhailiu/article/details/89944235 | caffe 源码解读_zhenhailiu的博客-CSDN博客_caffe源码
https://blog.csdn.net/cc13949459188/article/details/82720490 | caffe源码解析 一_cc13949459188的博客-CSDN博客_caffe源码解析
https://www.zhihu.com/search?type=content&q=%E5%85%B3%E9%94%AE%E7%82%B9oks | 关键点oks - 搜索结果 - 知乎
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk00lr8M3Bet1lxfChUTBGzwKjdMzVQ%3A1594798668171&source=hp&ei=TLIOX4vtBsOWr7wPs4W44Ao&q=tensorrt+7.0.0.11&oq=tensorrt+7.0.0&gs_lcp=CgZwc3ktYWIQAxgAMgIIADICCAAyAggAMgUIABDLAToHCCMQ6gIQJzoECCMQJzoICAAQsQMQgwE6BQgAELEDOgYIABAWEB5Q3g1YrTZgjkBoAXAAeACAAdYDiAGYF5IBCTAuOC41LjAuMZgBAKABAaoBB2d3cy13aXqwAQo&sclient=psy-ab | tensorrt 7.0.0.11 - Google Search
https://docs.nvidia.com/deeplearning/tensorrt/release-notes/tensorrt-7.html#rel_7-0-0 | Release Notes :: NVIDIA Deep Learning TensorRT Documentation
https://docs.nvidia.com/deeplearning/tensorrt/developer-guide/index.html | Developer Guide :: NVIDIA Deep Learning TensorRT Documentation
https://docs.nvidia.com/deeplearning/tensorrt/archives/tensorrt-700/tensorrt-api/python_api/infer/Int8/pyInt8.html | Int8 — tensorrt 7.0.0.11 documentation
http://caffe.berkeleyvision.org/tutorial/layers/reshape.html | Caffe | Reshape Layer
https://www.twblogs.net/a/5d4219d3bd9eee51fbf9d5e7 | caffe中幾種layer的小筆記 - 台部落
https://www.zhihu.com/people/lin-yu-rong-47/posts | (3 封私信 / 15 条消息) 蒙特卡洛家的树 - 知乎
https://github.com/chineseocr/chineseocr | chineseocr/chineseocr: yolo3+ocr
https://zhuanlan.zhihu.com/p/94677957 | DBNet阅读笔记 - 知乎
https://arxiv.org/pdf/1911.08947.pdf | Real-time Scene Text Detection with Differentiable Binarization
https://www.jiqizhixin.com/articles/2019-06-05 | 自然场景下的文字检测:从多方向迈向任意形状 | 机器之心
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk00U621Ue45tW9tRh6GLjIqNWS3aEg%3A1594196110569&source=hp&ei=joAFX4DGIPXF0PEPjNaviAw&q=%E5%BC%AF%E6%9B%B2%E6%96%87%E5%AD%97%E8%AF%86%E5%88%AB&oq=%E5%BC%AF%E6%9B%B2%E6%96%87%E5%AD%97%E8%AF%86%E5%88%AB&gs_lcp=CgZwc3ktYWIQAzoHCCMQ6gIQJzoCCAA6BggAEAUQHlCa0QNYsegDYPbpA2gBcAB4AIAB9ASIAaIHkgEHMy0xLjAuMZgBAKABAqABAaoBB2d3cy13aXqwAQo&sclient=psy-ab&ved=0ahUKEwiAxfumm73qAhX1IjQIHQzrC8EQ4dUDCAk&uact=5
https://zhuanlan.zhihu.com/p/65707543 | 文字识别方法整理 - 知乎
https://arxiv.org/pdf/1712.05404.pdf | SEE: Towards Semi-Supervised End-to-End Scene Text Recognition
https://www.ifanr.com/1296159 | 亚马逊研究新的文字识别技术,没想到先干掉了验证码 | 爱范儿
https://www.google.com.hk/search?q=%E8%BD%A6%E7%89%8C%E5%8E%BB%E6%A8%A1%E7%B3%8A&newwindow=1&safe=active&sxsrf=ALeKk00FJ-tapg4QhsoL88dqVwptTCUj_Q:1594261016727&ei=GH4GX9zzK4fr-gSwoYAw&start=50&sa=N&ved=2ahUKEwjc39KMjb_qAhWHtZ4KHbAQAAY4KBDw0wN6BAgLED8&biw=1920&bih=937 | 车牌去模糊 - Google Search
https://www.52cv.net/?cat=45 | 标注工具 – 我爱计算机视觉
https://300188.cn/news/sharing-show-434.html | 【美亚技术分享】第十四期:图像处理实战经验分享 - 美亚柏科-欢迎进入美亚柏科官方网站
https://blog.51cto.com/14696426/2507435 | 车牌号识别技术(VehicleLicensePlateRecognition,VLPR)-王钰楠的博客-51CTO博客
https://chtseng.wordpress.com/2020/05/30/%E5%B0%87%E6%A8%A1%E7%B3%8A%E7%9A%84%E8%BB%8A%E7%89%8C%E8%BD%89%E6%B8%85%E6%99%B0/ | 將模糊的車牌轉清晰 – CH.Tseng
https://registrationcenter.intel.com/en/products/postregistration/?sn=N2R2-RG4JPFW5&EmailID=celin1992%40163.com&Sequence=2761481&dnld=t | Download Intel® Performance Libraries - Intel® Products
file:///E:/vs17_mkl/mkl_lib/documentation_2020/en/mkl/ps2020/get_started.htm | Get Started with Intel® Math Kernel Library 2020 for Windows*
https://github.com/guoqiangqi/PFLD/blob/master/mtcnn/detect_face.py | PFLD/detect_face.py at master · guoqiangqi/PFLD
https://github.com/ouyanghuiyu/chineseocr_lite | ouyanghuiyu/chineseocr_lite: 超轻量级中文ocr,支持竖排文字识别, 支持ncnn推理 , psenet(8.5M) + crnn(6.3M) + anglenet(1.5M) 总模型仅17M
http://dolphin-dev.kedacom.com/cloud-rbac/#/login | 统一权限
http://ai.kedacom.com:8008/data-training/#/view/taskList | 深度学习
https://oa.kedacom.com/confluence/pages/viewpage.action?pageId=15622523 | AI培训分享交流 - 软件技术中心 - Confluence
https://www.baidu.com/s?ie=UTF-8&wd=cvpr2020%20%E5%85%B3%E9%94%AE%E7%82%B9 | cvpr2020 关键点_百度搜索
https://www.sohu.com/a/404434691_100007727 | CVPR2020 | 通过关键点向心偏移来提升目标检测性能_匹配
https://openaccess.thecvf.com/CVPR2020 | CVPR 2020 Open Access Repository
https://openaccess.thecvf.com/content_CVPR_2020/papers/Snower_15_Keypoints_Is_All_You_Need_CVPR_2020_paper.pdf | 15 Keypoints Is All You Need
https://www.google.com.hk/search?newwindow=1&safe=active&biw=1920&bih=888&sxsrf=ALeKk03JVcPSf3uPe3skratSm4Ids5EEaA%3A1594173956822&ei=BCoFX4DoMYLO0PEP1sqX-AE&q=%E6%96%87%E5%AD%97%E6%A3%80%E6%B5%8B&oq=%E6%96%87%E5%AD%97%E6%A3%80%E6%B5%8B&gs_lcp=CgZwc3ktYWIQAzICCAAyAggAMgIIADICCAAyAggAMgIIADICCAA6BAgAEEc6BAgjECc6BggAEBYQHjoHCCMQ6gIQJzoFCAAQkQI6BQgAELEDOggIABCxAxCDAToKCAAQsQMQgwEQQzoICAAQsQMQkQI6BAgAEEM6BwgAELEDEEM6BAgAEAw6BggAEAUQHlDomgVYrtkFYLTbBWgGcAF4BIABuQiIAbNAkgEMMy0xMS4xLjMuMS4xmAEAoAEBqgEHZ3dzLXdperABCg&sclient=psy-ab&ved=0ahUKEwiA-p_jyLzqAhUCJzQIHVblBR84FBDh1QMIDA&uact=5 | 文字检测 - Google Search
https://zhuanlan.zhihu.com/p/38655369 | 自然场景文本检测识别技术综述 - 知乎
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk00fiQeO4tne5ba_3KTN8OYMxxDrCA%3A1594117040989&source=hp&ei=sEsEX9WpOonY-gTJuZyABg&q=license+plate+remove+blur&oq=license+plate+remove+blur&gs_lcp=CgZwc3ktYWIQAzIICCEQFhAdEB4yCAghEBYQHRAeMggIIRAWEB0QHjIICCEQFhAdEB4yCAghEBYQHRAeMggIIRAWEB0QHjIICCEQFhAdEB4yCAghEBYQHRAeMggIIRAWEB0QHjoFCAAQsQM6AggAOggIABCxAxCDAToECCMQJzoGCAAQFhAeOggIABAWEAoQHlCKWViTxwJgvNYCaARwAHgAgAGqFYgBn6IBkgEPMy05LjIuMi40LjUuMS4ymAEAoAEBqgEHZ3dzLXdpeg&sclient=psy-ab&ved=0ahUKEwjVwdPf9LrqAhUJrJ4KHckcB2AQ4dUDCAk&uact=5 | license plate remove blur - Google Search
https://www.baidu.com/s?ie=UTF-8&wd=dbnet | dbnet_百度搜索
https://blog.csdn.net/u012483097/article/details/104671929 | PSENet PANNet DBNet 三个文本检测算法异同_u012483097的博客-CSDN博客_pannet
https://github.com/chineseocr/chineseocr/tree/master | chineseocr/chineseocr at master
https://blog.csdn.net/ling_76539446/article/details/102886398 | (1条消息)BFM模型介绍及可视化实现(C++)_ling_76539446的博客-CSDN博客_bfm
https://www.baidu.com/s?ie=UTF-8&wd=Basel%20Face%20Model | Basel Face Model_百度搜索
https://zhuanlan.zhihu.com/p/97365535 | 3DMM人脸重建 - 知乎
https://www.cnblogs.com/bemfoo/p/11788638.html | BFM模型介绍及可视化实现(C++) - Bemfoo - 博客园
https://blog.csdn.net/weixin_37340613/article/details/94390717 | (1条消息)文献翻译:《Basel Face Model 2009》(一种用于姿态和光照不变人脸识别的三维人脸模型,3DMM,BFM2009)_weixin_37340613的博客-CSDN博客_basel face model
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=fab%E4%BA%BA%E8%84%B8%E5%85%B3%E9%94%AE%E7%82%B9&oq=fab%25E5%2585%25B3%25E9%2594%25AE%25E7%2582%25B9&rsv_pq=983098250025f856&rsv_t=a5d1Nq%2FadLP642PJ2hvAuLAwrVBzliNgDYTrJEyqvqJXjuxplta%2FttdSKaE&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=2610 | fab人脸关键点_百度搜索
https://blog.csdn.net/TheDayIn_CSDN/article/details/102988996 | (1条消息)人脸方向学习(二十一):Face Landmark Detection-FAB-解读_TheDayIn_CSDN的博客-CSDN博客_人脸landmark检测算法与人脸alignment
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk036oJs5HxDoWt6SxLzFRBqwxrnpsA%3A1592460735394&source=hp&ei=vwXrXpHjFYH7-gSYyYHACA&q=a+morphable+model+for+the+synthesis+of+3d+faces+github&oq=A+Morphable+Model+For+The+Synthesis+Of+3D+Faces+g&gs_lcp=CgZwc3ktYWIQAxgAMgIIADoECCMQJzoGCAAQFhAeOgUIABDLAVCfBFjuCmD1HWgAcAB4AIAB6wKIAbcIkgEDMy0zmAEAoAECoAEBqgEHZ3dzLXdpeg&sclient=psy-ab | a morphable model for the synthesis of 3d faces github - Google Search
https://github.com/menpo/itwmm | menpo/itwmm: In The Wild 3D Morphable Models
https://github.com/anhttran/3dmm_basic | anhttran/3dmm_basic: An implementation of the classical 3DMM fitting algorithm
https://github.com/senlinuc/caffe_ocr | senlinuc/caffe_ocr: 主流ocr算法研究实验性的项目,目前实现了CNN+BLSTM+CTC架构
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=caffe+%E8%BD%A6%E7%89%8C%E8%AF%86%E5%88%ABctc&oq=caffe%2520%25E8%25BD%25A6%25E7%2589%258C%25E8%25AF%2586%25E5%2588%25AB&rsv_pq=b1f17fe8000bfd5e&rsv_t=f5cdRQZcT8Ok%2BaD9r7pKJkSUMQ7PmEKwaI2C4n0EDO4sUwiWlJXO9p5m03Y&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=937 | caffe 车牌识别ctc_百度搜索
https://blog.csdn.net/zchang81/article/details/77040448 | 在Caffe中使用Baidu warpctc实现CTC Loss的计算_zchang81的博客-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=%E4%BA%BA%E8%84%B8%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA | 人脸三维重建_百度搜索
https://blog.csdn.net/CWBARSA/article/details/89052285 | 人脸论文解读系列——三维人脸重建(一)_CWBARSA的专栏-CSDN博客
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk02pnpBIMu0Zl6T9HwheJEYwV2UxQA%3A1592191097252&source=hp&ei=eejmXtS-DdW-0PEP_o-vwAQ&q=3D+Face+Reconstruction+&oq=3D+Face+Reconstruction+&gs_lcp=CgZwc3ktYWIQAzICCAAyAggAMgIIADICCAAyAggAMgIIADICCAAyAggAMgIIADICCAA6BwgjEOoCECdQ6w1Y6w1gu2doAHAAeACAAYsJiAGZC5IBBzItMS43LTGYAQCgAQKgAQGqAQdnd3Mtd2l6sAEK&sclient=psy-ab&ved=0ahUKEwiU346G7oLqAhVVHzQIHf7HC0gQ4dUDCAk&uact=5
https://arxiv.org/pdf/1903.09359.pdf | 1903.09359.pdf
https://paperswithcode.com/task/3d-face-reconstruction | 3D Face Reconstruction | Papers With Code
https://www.zhihu.com/search?type=content&q=%E4%BA%BA%E8%84%B8%E4%B8%89%E7%BB%B4%E9%87%8D%E5%BB%BA | (3 封私信 / 67 条消息) 人脸三维重建 - 搜索结果 - 知乎
https://blog.csdn.net/likewind1993/article/details/81455882 | 使用3DMM进行人脸重建中的配准方法_likewind1993的博客-CSDN博客
https://mp.weixin.qq.com/s?__biz=MzA3NDIyMjM1NA==&mid=401544772&idx=1&sn=3a7ffb80df64024b8631b82ee517c1b7&chksm=0d18a8393a6f212f3f8208edc6d1b8cc326aa2bd2621b7965d7ab869a49d2a7c8897a45b2f51&scene=21#wechat_redirect | VR来了,3D人脸重建跟上->《三维人脸重建-3DMM》
http://cvlab.cse.msu.edu/project-pifa.html | Pose-Invariant Face Alignment (PIFA)
http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm | www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk03BnUkeC8l7NmWEBI5GphbLz8qWeg%3A1592377029643&ei=xb7pXqbiJoSCsQWDmqGwCw&q=3d+morphable+model&oq=3d+morphable+model&gs_lcp=CgZwc3ktYWIQAzICCAAyBQgAEMsBMgUIABDLATICCAAyAggAMgUIABDLATIGCAAQFhAeMgYIABAWEB4yBggAEBYQHjIGCAAQFhAeOgQIABBHOgQIIxAnOgQIABBDOgUIABCxAzoFCAAQkQI6CAgAELEDEJECUKzIAViT9wFg4_kBaABwAXgAgAHmAogB6ymSAQYyLTEwLjiYAQCgAQGqAQdnd3Mtd2l6&sclient=psy-ab&ved=0ahUKEwjm2MzZoojqAhUEQawKHQNNCLYQ4dUDCAw&uact=5 | 3d morphable model - Google Search
https://arxiv.org/pdf/1909.01815.pdf | 3D Morphable Face Models - Past, Present and Future
https://neurohive.io/en/state-of-the-art/learning-3d-face-morphable-model-out-of-2d-images/ | Learning 3D Face Morphable Model Out of 2D Images
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk01NT2f1xzGwZEkH2ha6TqNT2jhS8w%3A1592377251642&source=hp&ei=o7_pXu6LJZLPtQaOmpywAw&q=face+3d+reconstruction&oq=face+3d+recon&gs_lcp=CgZwc3ktYWIQAxgAMgIIADICCAAyBggAEBYQHjIGCAAQFhAeMgYIABAWEB4yBggAEBYQHjIGCAAQFhAeMgYIABAWEB4yBggAEBYQHjIGCAAQFhAeOgQIIxAnOggIABCDARCRAjoFCAAQkQI6BAgAEEM6BQgAEIMBOgUIABCxAzoHCAAQFBCHAjoFCAAQywE6CAgAEBYQChAeUKkOWLFHYLBbaAFwAHgAgAGSCIgBjTeSAQ0yLTMuNC4yLjEuMy4xmAEAoAEBqgEHZ3dzLXdpeg&sclient=psy-ab | face 3d reconstruction - Google Search
https://github.com/microsoft/Deep3DFaceReconstruction | microsoft/Deep3DFaceReconstruction: Deep3DFaceReconstruction
https://www.baidu.com/s?ie=UTF-8&wd=A%20Morphable%20Model%20For%20The%20Synthesis%20Of%203D%20Faces | A Morphable Model For The Synthesis Of 3D Faces_百度搜索
https://zhuanlan.zhihu.com/p/97564880 | A Morphable Model For The Synthesis Of 3D Faces-笔记 - 知乎
https://blog.csdn.net/qq_39426225/article/details/97671694 | A Morphable Model For The Synthesis Of 3D Faces 论文解析 3DMM_761527200_leili的博客-CSDN博客
https://github.com/search?q=3d+face+reconstruction&type=Repositories | Search · 3d face reconstruction
https://github.com/anhttran/extreme_3d_faces | anhttran/extreme_3d_faces: Extreme 3D Face Reconstruction: Looking Past Occlusions
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk03gVMZdID40Gd5V6N6myr_dpEdMSw%3A1592386568631&source=hp&ei=COTpXp3BJITc-gT9ubKIBA&q=awesome+3d+face+reconstruction&oq=awesom+3d+face+recon&gs_lcp=CgZwc3ktYWIQAxgAMggIIRAWEB0QHjIICCEQFhAdEB4yCAghEBYQHRAeMggIIRAWEB0QHjIICCEQFhAdEB4yCAghEBYQHRAeMggIIRAWEB0QHjIICCEQFhAdEB4yCAghEBYQHRAeMggIIRAWEB0QHjoECCMQJzoICAAQgwEQkQI6BQgAEJECOgUIABCxAzoFCAAQgwE6BAgAEEM6BwgAELEDEEM6AggAOgcIIxCxAhAnOgQIABAKOgQIABANOggIABAIEA0QHjoICAAQFhAKEB46BwghEAoQoAE6BQghEKsCUOIOWKBHYNBRaABwAHgBgAHeCYgBjlGSAQ0yLTguMi4xLjIuMy4zmAEAoAEBqgEHZ3dzLXdpeg&sclient=psy-ab | awesome 3d face reconstruction - Google Search
https://github.com/polarisZhao/awesome-face#3D-face-reconstruction | polarisZhao/awesome-face: 😎 face releated algorithm, dataset and paper
http://blog.nodetopo.com/2020/01/04/%E5%9B%BE%E5%8D%B7%E7%A7%AF%E7%9A%84pytorch%E5%AE%9E%E7%8E%B0/ | 图卷积的pytorch实现 - NODETOPO's 博客
https://www.zhihu.com/question/67209417 | PyTorch 有哪些坑/bug? - 知乎
https://github.com/wellflat/opencv-samples/blob/master/dnn/onnx/read_onnx.py | opencv-samples/read_onnx.py at master · wellflat/opencv-samples
https://github.com/lartpang/PyTorchTricks#%E5%B0%BD%E9%87%8F%E4%BD%BF%E7%94%A8-inplace-%E6%93%8D%E4%BD%9C | lartpang/PyTorchTricks: Some tricks of pytorch...
http://jefftrull.github.io/c++/eigen/csparse/suitesparse/2017/02/09/sparse-matrices-for-cplusplus.html | Sparse Matrix Libraries for C++
https://www.baidu.com/s?ie=UTF-8&wd=%E5%85%89%E7%85%A7%E4%B8%80%E8%87%B4%E6%80%A7%E5%88%86%E6%9E%90 | 光照一致性分析_百度搜索
https://blog.csdn.net/chaofanjun/article/details/87860302 | 2019.2总结(重采样、JPEG重压缩、copy-move检测、篡改检测)_chaofanjun-CSDN博客_exploitingspatialstructureforlocalizingmanipu
https://zhuanlan.zhihu.com/p/94990078 | [arxiv1911.12451] 目标检测的性能上界讨论 - 知乎
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=python%E8%A3%85%E9%A5%B0%E5%99%A8&oq=%2540functools.wraps%28loss_func%29&rsv_pq=d83921160001244f&rsv_t=cac9WJA3NmUjRbRzb0OHisMJgE%2BBPBAF0dWepfueZ0VcXSJ12hR4le18XxA&rqlang=cn&rsv_dl=tb&rsv_enter=1&rsv_btype=t&inputT=6865 | python装饰器_百度搜索
https://www.runoob.com/w3cnote/python-func-decorators.html | Python 函数装饰器 | 菜鸟教程
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk01Z-SrZs1nt3E98s6FQzizOJFDLBg%3A1591583041087&ei=QaHdXt_pBMH8wAOX96mwAQ&q=%E8%87%AA%E9%80%82%E5%BA%94%E9%99%B7%E6%B3%A2&oq=%E8%87%AA%E9%80%82%E5%BA%94%E9%99%B7%E6%B3%A2&gs_lcp=CgZwc3ktYWIQAzIECAAQHjoECCMQJzoHCCMQ6gIQJzoFCAAQkQI6BQgAELEDOgUIABCDAToHCAAQsQMQQzoCCAA6BAgAEAo6BAgAEA06BggAEA0QCjoGCAAQChAeOggIABANEAQQHjoKCAAQDRAFEAQQHjoGCAAQDRAeULfaO1j0hjxgook8aAFwAHgDgAGDAYgBuRSSAQQ1LjE5mAEAoAEBqgEHZ3dzLXdperABCg&sclient=psy-ab&ved=0ahUKEwifjq3ulPHpAhVBPnAKHZd7ChYQ4dUDCAw&uact=5
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https://www.jb51.net/article/153637.htm | python 检查是否为中文字符串的方法_python_脚本之家
https://blog.csdn.net/weixin_44676081/article/details/97620024 | python中判断字符是否为中文_、Edgar的博客-CSDN博客_python判断是否是中文
https://blog.csdn.net/belong_to_you/article/details/105225922 | 如何解决VScode中argparse配置问题?_belong_to_you的博客-CSDN博客_vscodeargparse.argumentparser()
https://tensorpack.readthedocs.io/tutorial/extend/dataflow.html | Write a DataFlow — tensorpack 0.10.1 documentation
https://zhuanlan.zhihu.com/p/135943895 | 相机模型与视觉测距不完全指南 - 知乎
https://zhuanlan.zhihu.com/p/74597564 | 单应性Homograph估计:从传统算法到深度学习 - 知乎
https://github.com/Charrin/RetinaFace-Cpp | Charrin/RetinaFace-Cpp: RetinaFace detector with C++
https://github.com/ouyanghuiyu/darknet_face_with_landmark | ouyanghuiyu/darknet_face_with_landmark: 加入关键点的darknet训练框架,轻量级的人脸检测,支持ncnn推理
https://www.zhihu.com/follow | 首页 - 知乎
https://gist.github.com/gtwell/4a1bccdcf51517687977d0fc65c3a0c9 | Visual Studio Code Settings Sync Gist
https://github.com/D-X-Y/landmark-detection | D-X-Y/landmark-detection: Several landmark detection algorithms, implemented in PyTorch.
https://github.com/ziishaned/learn-regex/blob/master/translations/README-cn.md | learn-regex/README-cn.md at master · ziishaned/learn-regex
https://github.com/WenmuZhou/PytorchOCR | WenmuZhou/PytorchOCR: 基于Pytorch的OCR工具库,支持常用的文字检测和识别算法
https://github.com/TencentYoutuResearch/FaceAttribute-FAN | TencentYoutuResearch/FaceAttribute-FAN
https://github.com/xinghaochen/awesome-hand-pose-estimation | xinghaochen/awesome-hand-pose-estimation: Awesome work on hand pose estimation/tracking
https://pytorch.org/docs/stable/onnx.html#adding-support-for-operators | torch.onnx — PyTorch 1.5.0 documentation
https://flashgene.com/archives/59049.html | 从源头探讨 GCN 的行文思路 – 闪念基因 – 个人技术分享
https://github.com/yl-1993/learn-to-cluster/blob/master/dsgcn/train.py | learn-to-cluster/train.py at master · yl-1993/learn-to-cluster
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=%E9%93%BE%E8%A1%A8%E6%8F%92%E5%85%A5%E6%98%AF%E5%9C%A8%E5%89%8D%E9%9D%A2%E8%BF%98%E6%98%AF%E5%90%8E%E9%9D%A2&oq=%25E9%2593%25BE%25E8%25A1%25A8&rsv_pq=d00aab1a0004f0b6&rsv_t=769chelT7bObRF8ZQdmhBSc8hYtNn3alizt0o3s%2BaAyaELxbTOZNPjkDdiU&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=9266 | 链表插入是在前面还是后面_百度搜索
https://www.cnblogs.com/lanhaicode/p/10304567.html | 链表(单向链表的建立、删除、插入、打印) - 蓝海人 - 博客园
https://www.cnblogs.com/lanhaicode/p/11259509.html | 插入排序——C语言 - 蓝海人 - 博客园
https://www.baidu.com/s?ie=UTF-8&wd=vscode%20%E6%96%87%E4%BB%B6%E5%AF%B9%E6%AF%94 | vscode 文件对比_百度搜索
https://github.com/timesler/facenet-pytorch/blob/master/models/mtcnn.py | facenet-pytorch/mtcnn.py at master · timesler/facenet-pytorch
https://www.baidu.com/s?ie=UTF-8&wd=%E4%BA%BA%E8%84%B8%E6%A3%80%E6%B5%8B%E5%99%A8 | 人脸检测器_百度搜索
https://zhuanlan.zhihu.com/p/73741766 | BlazeFace: 亚毫秒级的人脸检测器(含代码) - 知乎
https://www.google.com.hk/search?newwindow=1&safe=active&biw=1920&bih=937&sxsrf=ALeKk02jgwcsvpdQ-ywQt2E9Aw6zoFcnyA%3A1589007934875&ei=Pla2XuT8NIe9mAXa5pG4DQ&q=fast+face+detection+pytorch+github&oq=fast+face+detection+pytorch+github&gs_lcp=CgZwc3ktYWIQAzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQR1De0QNY9dsDYJ_dA2gAcAF4AIAB6AWIAaYNkgEHNC0yLjAuMZgBAKABAaoBB2d3cy13aXo&sclient=psy-ab&ved=0ahUKEwjkk4Psm6bpAhWHHqYKHVpzBNc4ChDh1QMIDA&uact=5 | fast face detection pytorch github - Google Search
https://github.com/biubug6/Pytorch_Retinaface | biubug6/Pytorch_Retinaface: Retinaface get 80.99% in widerface hard val using mobilenet0.25.
https://github.com/biubug6/Face-Detector-1MB-with-landmark | biubug6/Face-Detector-1MB-with-landmark: 1M人脸检测模型(含关键点)
https://www.baidu.com/s?ie=UTF-8&wd=ArcFace | ArcFace_百度搜索
https://zhuanlan.zhihu.com/p/76541084 | 人脸识别合集 | 10 ArcFace解析 - 知乎
https://github.com/PyRetri/PyRetri/blob/master/docs/MODEL_ZOO.md | PyRetri/MODEL_ZOO.md at master · PyRetri/PyRetri
https://github.com/ChanChiChoi/awesome-Face_Recognition#face-detection--face-segmentation | ChanChiChoi/awesome-Face_Recognition: papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
https://learnxinyminutes.com/docs/zh-cn/c++-cn/ | Learn c++ in Y Minutes
https://github.com/wkentaro/labelme/tree/master/examples/tutorial#tutorial-single-image-example | labelme/examples/tutorial at master · wkentaro/labelme
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=%E4%BA%BA%E8%84%B8%E6%88%B4%E5%8F%A3%E7%BD%A9%E7%AE%97%E6%B3%95&oq=%25E4%25BA%25BA%25E8%2584%25B8%25E6%2588%25B4%25E5%258F%25A3%25E7%25BD%25A9%25E7%25AE%2597%25E6%25B3%2595%25E4%25BD%25A0&rsv_pq=c9440c0400186300&rsv_t=5ff9Trg0tgBoOAhlhm6%2B1xI99gWdJT2h8pbM%2Fp1cgWCZUHoLX3ZYxiD%2B0w4&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=289 | 人脸戴口罩算法_百度搜索
https://zhuanlan.zhihu.com/p/107719641 | 开源人脸口罩检测数据+模型+代码+在线网页体验,通通都开源 - 知乎
https://github.com/open-mmlab/mmdetection/blob/master/docs/install.md | mmdetection/install.md at master · open-mmlab/mmdetection
https://blog.csdn.net/wwwhp/article/details/88361422 | Face Landmark Detection PFLD 论文理解_网络_JustForYou的博客-CSDN博客
https://www.cnblogs.com/xiximayou/p/12728644.html | 【论文笔记】张航和李沐等提出:ResNeSt: Split-Attention Networks(ResNet改进版本) - 西西嘛呦 - 博客园
https://www.cnblogs.com/xiaxuexiaoab/p/12347372.html | MobileNet系列---mobileNetV2 - 半夜打老虎 - 博客园
https://github.com/zhangqizky/Pytorch-YOLOs/blob/master/Yolov1/yoloLoss.py | Pytorch-YOLOs/yoloLoss.py at master · zhangqizky/Pytorch-YOLOs
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk01LHjb7T4gVrXsGpIlkorUIt08JJQ%3A1587978047421&source=hp&ei=P5-mXtXHF4P4-gSUxJjIDw&q=readNetFromONNX&oq=readNetFromONNX&gs_lcp=CgZwc3ktYWIQAzoHCCMQ6gIQJ1CuGFiuGGDaG2gCcAB4AIAB_AGIAfwBkgEDMi0xmAEAoAECoAEBqgEHZ3dzLXdperABCg&sclient=psy-ab&ved=0ahUKEwiV47Obn4jpAhUDvJ4KHRQiBvkQ4dUDCAk&uact=5 | readNetFromONNX - Google Search
https://blog.csdn.net/u011995719/article/details/78890333 | 深度学习人脸关键点检测方法----综述_人工智能_TensorSense的博客-CSDN博客
https://zhuanlan.zhihu.com/p/42968117 | 人脸关键点检测综述 - 知乎
https://blog.csdn.net/u013948010/article/details/80520540 | 人脸关键点检测总结_网络_imcy的博客-CSDN博客
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk01Ymc4RAJXEPVxGfm9zCLTOQygJfw%3A1588210057548&source=hp&ei=iSmqXrO1HsOttQb_l7mIBQ&q=%E4%BA%BA%E8%84%B8%E5%85%B3%E9%94%AE%E7%82%B9%E6%95%B0%E6%8D%AE%E9%9B%86&oq=%E4%BA%BA%E8%84%B8%E5%85%B3%E9%94%AE%E7%82%B9%E6%95%B0%E6%8D%AE%E9%9B%86&gs_lcp=CgZwc3ktYWIQAzIECAAQDDoHCCMQ6gIQJzoCCAA6BQgAEIMBOgQIIxAnOgQIABAeOgYIABAKEB5Q8RpYlj5g7D9oAnAAeACAAdUCiAGpLZIBBjItMTguM5gBAKABAaoBB2d3cy13aXqwAQo&sclient=psy-ab&ved=0ahUKEwjznbnC_47pAhXDVs0KHf9LDlEQ4dUDCAk&uact=5 | 人脸关键点数据集 - Google Search
https://blog.csdn.net/qq_27009517/article/details/86566378 | 人脸关键点检测综述(含论文、数据集、方法等)_网络_qq_27009517的博客-CSDN博客
https://github.com/polarisZhao/PFLD-pytorch/issues | Issues · polarisZhao/PFLD-pytorch
https://www.zhihu.com/search?type=content&q=%E5%A4%9A%E7%9B%AE%E6%A0%87%E8%B7%9F%E8%B8%AA | 多目标跟踪 - 搜索结果 - 知乎
https://github.com/nwojke/deep_sort | nwojke/deep_sort: Simple Online Realtime Tracking with a Deep Association Metric
https://zhuanlan.zhihu.com/p/125395219 | 从CenterTrack出发谈谈联合检测和跟踪的MOT框架(含MOT17 No.1等多个榜前算法 ) - 知乎
https://www.cnblogs.com/polaris-shi/p/9562874.html | 滤波算法:经典卡尔曼滤波 - 小石学CS - 博客园
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk03N2otuSh2kpQtzKyzDj4DfZ_hWBg%3A1588820388617&ei=pHmzXpCXJeOt0PEP7Oe_6AI&q=%E5%8D%A1%E5%B0%94%E6%9B%BC%E6%BB%A4%E6%B3%A2&oq=%E5%8D%A1%E5%B0%94%E6%9B%BC%E6%BB%A4%E6%B3%A2&gs_lcp=CgZwc3ktYWIQAzoECAAQRzoECCMQJzoECAAQQzoCCAA6BwgjEOoCECc6BQgAEIMBOgQIABAKOgQIABANOgYIABANEAo6CAgAEA0QChAeUM7BIFje6SBgtOsgaAFwAXgEgAGyAogBvB2SAQYyLTEzLjGYAQCgAQGqAQdnd3Mtd2l6sAEK&sclient=psy-ab&ved=0ahUKEwiQ-f-W4aDpAhXjFjQIHezzDy0Q4dUDCAw&uact=5 | 卡尔曼滤波 - Google Search
https://www.jianshu.com/p/d3b1c3d307e0 | 我所理解的卡尔曼滤波 - 简书
https://blog.csdn.net/heyijia0327/article/details/17487467 | 卡尔曼滤波 -- 从推导到应用(一)_网络_知行合一-CSDN博客
https://github.com/google-research/augmix | google-research/augmix: AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
https://github.com/polarisZhao/PFLD-pytorch/blob/master/camera.py | PFLD-pytorch/camera.py at master · polarisZhao/PFLD-pytorch
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=%E4%BA%BA%E8%84%B8%E6%AC%A7%E6%8B%89%E8%A7%92&oq=%25E6%25AC%25A7%25E6%258B%2589%25E8%25A7%2592&rsv_pq=9e03338d00006a24&rsv_t=cc80k92aGqnYfNrx6Yfq%2BsOJoCr1ZElj%2BLFWADT0T0y7O%2FAIVyhqyUr2nSQ&rqlang=cn&rsv_enter=1&rsv_dl=tb&rsv_btype=t&inputT=2301 | 人脸欧拉角_百度搜索
https://blog.csdn.net/mynameisyournamewuyu/article/details/88788185 | dlib人脸姿态欧拉角_人工智能_Cody的博客-CSDN博客
https://blog.csdn.net/u014090429/article/details/100762308 | 人脸姿态估计(计算欧拉角)_人工智能_sunnygirl's house-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=solvePnP | solvePnP_百度搜索
https://blog.csdn.net/originalcandy/article/details/84834991 | OpenCV:solvePnP参数介绍_人工智能_originalcandy的博客-CSDN博客
https://blog.csdn.net/sinolover/article/details/90671784 | 什么是欧拉角/姿态角?_网络_sinolover的专栏-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=opencv%20dnn%E4%BA%BA%E8%84%B8%E6%A3%80%E6%B5%8B | opencv dnn人脸检测_百度搜索
https://www.baidu.com/s?ie=UTF-8&wd=98%E5%85%B3%E9%94%AE%E7%82%B9%E4%BA%BA%E8%84%B8 | 98关键点人脸_百度搜索
https://github.com/guoqiangqi/PFLD/issues/47 | 关键点抖动问题 · Issue #47 · guoqiangqi/PFLD
https://github.com/610265158/Peppa_Pig_Face_Engine | 610265158/Peppa_Pig_Face_Engine: A simple face detect and alignment method, which is easy and stable.
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk038J76U0_u2AcKl9hiXgt6WITzzvg%3A1587714803101&ei=85qiXrzkBY3f-gTAv5WIDw&q=%E4%BA%BA%E8%84%B8%E5%A7%BF%E6%80%81%E4%BC%B0%E8%AE%A1&oq=%E4%BA%BA%E8%84%B8%E5%A7%BF%E6%80%81%E4%BC%B0%E8%AE%A1&gs_lcp=CgZwc3ktYWIQAzoECAAQRzoECCMQJzoGCAAQFhAeOgcIIxDqAhAnOgUIABCRAjoCCAA6BQgAEIMBOgQIABBDOgQIABAeOgYIABAKEB46BAgAEA06BggAEA0QCjoECAAQDFCuxAJYz_oCYIT8AmgBcAJ4BIABjAiIAfNCkgENMi03LjIuMy40LjIuMZgBAKABAaoBB2d3cy13aXqwAQo&sclient=psy-ab&ved=0ahUKEwj8qd_GyoDpAhWNr54KHcBfBfEQ4dUDCAw&uact=5 | 人脸姿态估计 - Google Search
https://github.com/yuenshome/yuenshome.github.io/issues/9 | Head pose estimation · Issue #9 · yuenshome/yuenshome.github.io
https://michael728.github.io/2018/12/15/python-debug-ipdb/ | Python 调试模块 ipdb | Michael翔
https://blog.csdn.net/cdknight_happy/article/details/79975060 | 人脸姿态估计_人工智能_cdknight_happy的专栏-CSDN博客
https://zhuanlan.zhihu.com/p/51208197 | 重磅!头部姿态估计「原理详解 + 实战代码」来啦! - 知乎
https://www.zhihu.com/search?type=content&q=random%20crop | random crop - 搜索结果 - 知乎
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=python+struct&oq=%25E5%25B0%2586%25E4%25BA%258C%25E8%25BF%259B%25E5%2588%25B6%25E6%2596%2587%25E4%25BB%25B6%25E8%25BD%25AC%25E5%25AD%2598%25E4%25BC%259A%25E5%258F%2598%25E5%25A4%25A7&rsv_pq=8a219b080044fa2d&rsv_t=f05bc1l9XrauqvjFX4X%2BSQZV0q%2FPi86O%2FrSaynN3%2Bwtj6BUCOLeNfxxhUZA&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=7089 | python struct_百度搜索
https://blog.csdn.net/qq_30638831/article/details/80421019 | python之struct详解_Python_编程之路-CSDN博客
https://github.com/nullptr-leo/ncnn-lite/blob/master/src/layer/arm/batchnorm_arm.cpp | ncnn-lite/batchnorm_arm.cpp at master · nullptr-leo/ncnn-lite
https://www.google.com.hk/search?newwindow=1&safe=active&biw=1920&bih=937&sxsrf=ALeKk03E1bRKNo18DvtsBUnkudZOeKwbVw%3A1587453931697&ei=65-eXuyUKs-_0PEPhqqK6A8&q=solution+of+linear+equation+with+cpp+in+3+variables&oq=solution+of+linear+equation+with+cpp+in+3+variables&gs_lcp=CgZwc3ktYWIQAzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQRzIECAAQR1Dw0QxYjNQMYKPWDGgAcAJ4AIABAIgBAJIBAJgBAKABAaoBB2d3cy13aXo&sclient=psy-ab&ved=0ahUKEwistsjd_vjoAhXPHzQIHQaVAv04HhDh1QMIDA&uact=5 | solution of linear equation with cpp in 3 variables - Google Search
https://www.zhihu.com/search?type=content&q=pfld | (11 条消息) pfld - 搜索结果 - 知乎
https://blog.csdn.net/li_wen01/article/details/78369751 | OpenCV 实践——人脸检测与人脸图像提取_人工智能_Biao-CSDN博客
https://blog.csdn.net/u012505617/article/details/97936310 | 人脸关键点数据集整理_数据库_liguiyuan的博客-CSDN博客
https://wywu.github.io/projects/LAB/WFLW.html | Look at Boundary: A Boundary-Aware Face Alignment Algorithm
https://blog.csdn.net/shanglianlm/article/details/80030569 | opencv调用Caffe、TensorFlow、Torch、PyTorch训练好的模型_人工智能_mingo_敏-CSDN博客
https://docs.opencv.org/master/d6/d0f/group__dnn.html#ga7faea56041d10c71dbbd6746ca854197 | OpenCV: Deep Neural Network module
https://www.baidu.com/s?ie=UTF-8&wd=python%E4%B8%A4%E4%B8%AAlist%E5%8F%96%E5%B7%AE%E9%9B%86 | python两个list取差集_百度搜索
https://github.com/yl-1993/learn-to-cluster | yl-1993/learn-to-cluster: Learning to Cluster Faces (CVPR 2019, CVPR 2020)
https://zhuanlan.zhihu.com/p/73591415 | Learning to Cluster Faces on an Affinity Graph阅读笔记 - 知乎
https://blog.csdn.net/shitDjango/article/details/89185592 | CVPR1904_人脸聚类 Learning to Cluster Faces on an Affinity Graph_网络_shitDjango的博客-CSDN博客
https://www.zhihu.com/question/54504471?sort=created | (2 封私信 / 11 条消息) 如何理解 Graph Convolutional Network(GCN)? - 知乎
https://zhuanlan.zhihu.com/p/112969358 | 目标检测Adaptively Spatial Feature Fusion (ASFF)-最详细解读 - 知乎
https://blog.csdn.net/qq_32642107/article/details/103431897 | 8篇目标检测EfficientDet/EdgeNet/ASFF/RoIMix/SCL/EFGRNet_杨杨子江的博客-CSDN博客
https://www.cnblogs.com/lit10050528/p/3858057.html | char数组与string转换 - 冷冰若水 - 博客园
https://zhuanlan.zhihu.com/p/104992391?utm_source=wechat_session | CNN中的数据增强简单总结 - 知乎
https://github.com/pytorch/tutorials/blob/a2b1aac53248081e9516ce6be339a06a2fcbb15c/intermediate_source/spatial_transformer_tutorial.py | tutorials/spatial_transformer_tutorial.py at a2b1aac53248081e9516ce6be339a06a2fcbb15c · pytorch/tutorials
https://www.baidu.com/s?ie=UTF-8&wd=affine_grid | affine_grid_百度搜索
https://www.jianshu.com/p/723af68beb2e | Pytorch中的仿射变换(affine_grid) - 简书
https://github.com/tianzhi0549/FCOS/blob/master/fcos_core/modeling/rpn/fcos/inference.py | FCOS/inference.py at master · tianzhi0549/FCOS
https://github.com/aleju/imgaug | aleju/imgaug: Image augmentation for machine learning experiments.
https://imgaug.readthedocs.io/en/latest/source/examples_bounding_boxes.html#dealing-with-bounding-boxes-outside-of-the-image | Examples: Bounding Boxes — imgaug 0.4.0 documentation
https://github.com/onnx/onnx/blob/master/docs/Operators.md#Relu | onnx/Operators.md at master · onnx/onnx
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=pytorch+relu6+clip&oq=pytorch%2520clip&rsv_pq=d2de767500598cde&rsv_t=212dg6PoQRLf7scO%2BHyAWmpSz51%2BVx3ooU6KBEQdVABEbp9q6To00BOzPFM&rqlang=cn&rsv_dl=tb&rsv_enter=1&inputT=5793 | pytorch relu6 clip_百度搜索
https://blog.csdn.net/jacke121/article/details/95056982 | pytorch relu6_人工智能_jacke121的专栏-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=onnx%20relu6 | onnx relu6_百度搜索
https://zhuanlan.zhihu.com/p/124294444 | Pytorch转NCNN的流程记录 - 知乎
https://blog.csdn.net/qq_33431368/article/details/85009758 | 【手把手AI项目】八、MobileNetSSD通过Ncnn前向推理框架在Android端的使用--Cmake编译(目标检测 objection detection)_移动开发_Che_Hongshu-CSDN博客
https://github.com/chehongshu/ncnnforandroid_objectiondetection_Mobilenetssd | chehongshu/ncnnforandroid_objectiondetection_Mobilenetssd: 利用Mobilenetssd目标检测框架,ncnn前向推理,android项目
https://github.com/Tencent/ncnn/blob/master/examples/simplepose.cpp | ncnn/simplepose.cpp at master · Tencent/ncnn
https://gluon-cv.mxnet.io/build/examples_pose/dive_deep_simple_pose.html | 4. Dive deep into Training a Simple Pose Model on COCO Keypoints — gluoncv 0.7.0 documentation
https://github.com/microsoft/human-pose-estimation.pytorch | microsoft/human-pose-estimation.pytorch: The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
https://note.youdao.com/web/#/file/WEB268f32f89909664bf391b8c47e2d0b6d/note/WEBc67f9d67c8b4747b6c999997ffb5181f/ | 有道云笔记
https://github.com/rwightman/gen-efficientnet-pytorch/blob/master/onnx_export.py | gen-efficientnet-pytorch/onnx_export.py at master · rwightman/gen-efficientnet-pytorch
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=gdb%E5%AF%B9%E5%B7%A5%E7%A8%8B%E8%B0%83%E8%AF%95&oq=gdb%25E8%25B0%2583%25E8%25AF%2595&rsv_pq=e7a192f0000043f0&rsv_t=761ep8zlaHkTwxBUKhn8dDlA2mmpk989sXpCZrpZxizJRrS4SQOkpSINbcU&rqlang=cn&rsv_dl=tb&rsv_enter=1&inputT=4729 | gdb对工程调试_百度搜索
https://www.cnblogs.com/guxuanqing/p/9093767.html | gdb调试5--工程项目的断点调试 - PKICA - 博客园
https://www.baidu.com/s?ie=UTF-8&wd=%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0 | 相关系数_百度搜索
https://blog.csdn.net/zzh1301051836/article/details/82217676 | 协方差、相关系数(Pearson 相关系数)_人工智能_张之海的博客-CSDN博客
https://www.google.com.hk/search?newwindow=1&safe=active&biw=1920&bih=937&sxsrf=ALeKk02DV0Ctiinyvu7QaFKF_t7QutHWdw%3A1586483769633&ei=OdKPXrGoJtTywQOCkquADg&q=linux+pthread+example+with+several+minutes&oq=linux+pthread+example+with+several+minutes&gs_lcp=CgZwc3ktYWIQAzoECAAQRzoECCMQJzoGCAAQFhAeOggIIRAWEB0QHjoFCCEQoAE6BAghEBVKCggXEgYxMi0yOThKCQgYEgUxMi0zMFDDnxlYsPsaYI79GmgKcAJ4A4AB4AWIAYRSkgEOMC42LjExLjMuNS41LjGYAQCgAQGqAQdnd3Mtd2l6&sclient=psy-ab&ved=0ahUKEwjxqJ_M4NzoAhVUeXAKHQLJCuA4ChDh1QMIDA&uact=5 | linux pthread example with several minutes - Google Search
https://computing.llnl.gov/tutorials/pthreads/ | POSIX Threads Programming
https://www.cs.cmu.edu/afs/cs/academic/class/15492-f07/www/pthreads.html | Linux Tutorial: POSIX Threads
https://blog.csdn.net/daaikuaichuan/article/details/82950711 | 多线程的同步与互斥(互斥锁、条件变量、读写锁、自旋锁、信号量)_运维_青萍之末的博客-CSDN博客
https://drive.google.com/uc?export=download&confirm=9ZVA&id=1Fs8oN1JiGJRC93TkfDV-PaCeXQz-Htea | Google 云端硬盘 - 病毒扫描警告
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=%E4%BA%BA%E8%84%B849%E5%85%B3%E9%94%AE%E7%82%B9&oq=%25E4%25BA%25BA%25E8%2584%25B849%25E7%2582%25B9%25E6%2595%25B0%25E6%258D%25AE&rsv_pq=8e4305c0000b23f2&rsv_t=f749bFQWC5AFVhEcd1QDeTRqd9rycTnxvINlI5r2ZzwyC0e0L9NzeTP4Ks8&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=6074 | 人脸49关键点_百度搜索
https://blog.csdn.net/u010333076/article/details/51564952 | (1条消息)人脸关键点标识参考_荆棘鸟的专栏-CSDN博客
https://blog.csdn.net/u011668104?t=1 | (1条消息)程序媛_qiaoqiao2332_CSDN博客-DRML,论文学习,caffe学习领域博主
https://blog.csdn.net/u011668104/article/details/102700045 | (1条消息)人脸关键点定义汇总_网络_程序媛-CSDN博客
https://www.ri.cmu.edu/pub_files/2015/5/intraface_final.pdf | CMSY7
https://github.com/lsy17096535/face-landmark | lsy17096535/face-landmark: caffe 68 points face-landmark
https://www.baidu.com/s?ie=UTF-8&wd=linux%20cmake%20cpp%20%E8%B0%83%E8%AF%95 | linux cmake cpp 调试_百度搜索
https://blog.csdn.net/qq_38977019/article/details/103232329 | Linux下使用VS Code + CMake 调试c++程序_运维_qq_38977019的博客-CSDN博客
https://blog.csdn.net/sinat_38245860/article/details/88766874 | (1条消息)Linux环境下使用 VScode + CMake +CMakeTools开发调试 C++ 程序_运维_雨田2017的博客-CSDN博客
https://ibug.doc.ic.ac.uk/resources/300-W/ | i·bug - resources - 300 Faces In-the-Wild Challenge (300-W), ICCV 2013
https://shenxiaohai.me/2019/12/09/labelme2Datasets/ | labelme2Datasets | SHEN's BLOG
https://github.com/zhanghang1989/ResNeSt | zhanghang1989/ResNeSt: ResNeSt: Split-Attention Network
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=onnx+ncnn&oq=caffe%2520ncnn&rsv_pq=d41e0b710063da22&rsv_t=1feenKyJ3oMoiIBDWaS6H2Kidq4ulPLe0mHdnaCSqX9GOXFSw71bJFOHdEI&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=3305 | onnx ncnn_百度搜索
https://blog.csdn.net/hmzjwhmzjw/article/details/94027816 | 深度学习模型移植pytorch->onnx->ncnn->android_人工智能_hmzjwhmzjw的博客-CSDN博客
https://blog.csdn.net/weixin_41770169/article/details/85716971 | caffe转ncnn_人工智能_山中有石为玉-CSDN博客
https://blog.csdn.net/u011046017/article/details/92849082 | NCNN使用总结_人工智能_寂寞的小乞丐-CSDN博客
https://github.com/Tencent/ncnn/blob/master/docs/how-to-use-and-FAQ/use-ncnn-with-pytorch-or-onnx.md | ncnn/use-ncnn-with-pytorch-or-onnx.md at master · Tencent/ncnn
https://github.com/daquexian/onnx-simplifier | daquexian/onnx-simplifier: Simplify your onnx model
https://github.com/dlunion/tensorRTIntegrate/blob/master/plugin_onnx_export.py | tensorRTIntegrate/plugin_onnx_export.py at master · dlunion/tensorRTIntegrate
https://www.baidu.com/s?ie=UTF-8&wd=%E6%99%AE%E6%B0%8F%E5%88%86%E6%9E%90 | 普氏分析_百度搜索
https://www.cnblogs.com/nsnow/p/4745730.html | Procrustes Analysis普氏分析法 - 莫小 - 博客园
https://blog.csdn.net/baidu_38172402/article/details/82750070 | (1条消息)Procrustes Analysis(普氏分析)_人工智能_baidu_38172402的博客-CSDN博客
https://github.com/DocF/Soft-NMS/blob/master/softnms_pytorch.py | Soft-NMS/softnms_pytorch.py at master · DocF/Soft-NMS
https://blog.csdn.net/flowing_wind/article/details/81301001 | (2条消息)【C++】智能指针详解_C/C++_flowing_wind的博客-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=activate%20shape%20model | activate shape model_百度搜索
https://blog.csdn.net/Arthur_Holmes/article/details/103924026 | (1条消息)CVPR2019】Camera Lens Super-Resolution_Arthur_Holmes的博客-CSDN博客
https://github.com/ngchc/CameraSR | ngchc/CameraSR: Camera Lens Super-Resolution in CVPR 2019
https://help.kite.com/article/69-using-the-vs-code-plugin | Using the VS Code plugin for Python - Kite Help Desk
https://www.baidu.com/s?ie=UTF-8&wd=%E5%A4%9A%E6%A0%B8%E5%92%8C%E5%A4%9A%E7%BA%BF%E7%A8%8B | 多核和多线程_百度搜索
https://www.cnblogs.com/valjeanshaw/p/11469514.html | 进程,线程与多核,多cpu之间的关系 - 南宫饱虎 - 博客园
https://github.com/CaoWGG/TensorRT-CenterNet/blob/master/src/utils.cpp | TensorRT-CenterNet/utils.cpp at master · CaoWGG/TensorRT-CenterNet
https://note.youdao.com/web/#/file/WEB8d5d3e030292cac84085be982034b39e/note/WEBa54cc755596d745f8171b1c0da7b6c89/ | 有道云笔记
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=active+shape+model&oq=asm&rsv_pq=af2f9dde000c133a&rsv_t=b12fuxpOc6avmNkPAt7MtGkkLvUscFAxruSNIk0Fm%2B3UIqKL8BqS7BnxMO0&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=11864 | active shape model_百度搜索
https://www.cnblogs.com/xinyuyuanm/archive/2013/05/06/3063481.html | 模型图像ASM(Active Shape Model) 主动形状模型总结 - xinyuyuanm - 博客园
https://blog.csdn.net/carson2005/article/details/8194317 | ASM(Active Shape Model)算法介绍_Python_计算机视觉小菜鸟的专栏-CSDN博客
https://blog.csdn.net/rongrongyaofeiqi/article/details/53819445 | ASM(Active Shape Model)主动形状模型通俗易懂讲解一:理论_Python_rongrongyaofeiqi的博客-CSDN博客
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ALeKk00MoE11I1qiX_pbG74a77XIF4GY8A%3A1585208338248&ei=Elx8XsTaDpzP1fAPyYy1yAs&q=%E6%99%AE%E6%B0%8F%E5%88%86%E6%9E%90&oq=%E6%99%AEshi%27fen%27xi&gs_l=psy-ab.1.0.0i12l3.25020.35217..38657...1.2..4.1468.10292.2-8j1j2j1j1j4......0....1..gws-wiz.....10..0i71j35i39j0j0i67j0i20i263j35i362i39j0i131j0i131i67j0i30j0i13j0i10i30j0i13i10i30j0i13i30j0i8i30.ZSj0v4Nvfdc | 普氏分析 - Google Search
https://blog.csdn.net/wfei101/article/details/80530867 | 人脸对齐:Procrustes analysis 普氏分析_Python_BigCowPeking-CSDN博客
https://medium.com/@olga_kravchenko/generalized-procrustes-analysis-with-python-numpy-c571e8e8a421 | (Generalized) Procrustes analysis with Python/NumPy
https://en.wikipedia.org/wiki/Procrustes_analysis | Procrustes analysis - Wikipedia
http://www.milbo.org/stasm-files/stasm4.pdf | Stasm 4 User Manual
http://www.milbo.org/stasm-files/tasm4.pdf | Tasm 4 User Manual
https://github.com/avtomaton/stasm | avtomaton/stasm: STASM project fork (http://www.milbo.users.sonic.net/stasm/)
https://github.com/ | GitHub
https://blog.csdn.net/caobcn/article/details/51588401 | Stasm的接口和使用_人工智能_Bing Cao的博客专栏-CSDN博客
https://blog.csdn.net/qq_33143379/article/details/80801615 | 人脸检测开源库stasm在VS2012(32位)环境下的编译_人工智能_qq_33143379的博客-CSDN博客
https://blog.csdn.net/qq_36251561/article/details/89372670 | [Stasm] 人脸检测开源库stasm配置使用vs2013---最全系列_人工智能_PangCoder的博客-CSDN博客
http://blog.sina.com.cn/s/blog_54636c5b0102zrad.html | [转]用VS2010打开VS2013、VS2015、VS2017等高版本项目_康平_新浪博客
https://github.com/CaoWGG/TensorRT-CenterNet/blob/master/readme/ctdet2onnx.md | TensorRT-CenterNet/ctdet2onnx.md at master · CaoWGG/TensorRT-CenterNet
http://pan.bitahub.com/index.php?mod=shares&sid=eTJ2bFFQR3BzTm5FTGdWN19RNGh1TTR4d0Q3Y2dKT3NwNGVvSUE | pan.bitahub.com/index.php?mod=shares&sid=eTJ2bFFQR3BzTm5FTGdWN19RNGh1TTR4d0Q3Y2dKT3NwNGVvSUE
https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/ | i·bug - resources - Facial point annotations
https://github.com/cxcxcxcx/asmlib-opencv/wiki/RunningDemo | RunningDemo · cxcxcxcx/asmlib-opencv Wiki
https://github.com/cxcxcxcx/asmlib-opencv/issues | Issues · cxcxcxcx/asmlib-opencv
https://www.baidu.com/s?ie=UTF-8&wd=%E4%BA%BA%E8%84%B8%E5%85%B3%E9%94%AE%E7%82%B9%20cpu | 人脸关键点 cpu_百度搜索
https://blog.csdn.net/c20081052/article/details/88854512 | 81个人脸关键点检测_网络_c20081052的专栏-CSDN博客
https://docs.opencv.org/3.0.0/db/deb/tutorial_display_image.html | OpenCV: Load and Display an Image
https://www.docs.opencv.org/2.4.6/doc/tutorials/introduction/display_image/display_image.html#display-image | Load and Display an Image — OpenCV 2.4.6.0 documentation
https://www.baidu.com/s?ie=UTF-8&wd=stasm | stasm_百度搜索
https://blog.csdn.net/liufanghuangdi/article/details/51886100 | Active Shape Models with Stasm 接口使用_人工智能_流放荒帝的博客-CSDN博客
http://www.milbo.users.sonic.net/stasm/ | Active Shape Models with Stasm
http://www.milbo.users.sonic.net/stasm/download.html | Download Stasm
https://xiaodu.io/ctc-explained-part2/
https://medium.com/corti-ai/ctc-networks-and-language-models-prefix-beam-search-explained-c11d1ee23306
https://towardsdatascience.com/beam-search-decoding-in-ctc-trained-neural-networks-5a889a3d85a7 | Beam Search Decoding in CTC-trained Neural Networks
https://arxiv.org/pdf/1408.2873.pdf
https://zhuanlan.zhihu.com/p/39266552
https://github.com/wangershi/compareCTCDecoder/blob/master/compareDecoder.py | compareCTCDecoder/compareDecoder.py at master · wangershi/compareCTCDecoder
https://www.cs.toronto.edu/~graves/preprint.pdf | preprint.pdf
https://github.com/search?q=prefix+beam+search
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ACYBGNSxaGhkMHX9_4hJ5IxzkXcB1XUvkA%3A1579421559129&source=hp&ei=dw8kXoHaBcih6QSsmprwCg&q=n_p_nb+%3D+logsumexp%28n_p_nb%2C+p_b+%2B+p%2C+p_nb+%2B+p%29&oq=n_p_nb+%3D+logsumexp%28n_p_nb%2C+p_b+%2B+p%2C+p_nb+%2B+p%29&gs_l=psy-ab.3...10472.10472..11355...2.0..0.674.674.5-1......0....2j1..gws-wiz.....10..35i362i39.GbCivNitk3U&ved=0ahUKEwjB8evnm4_nAhXIUJoKHSyNBq4Q4dUDCAY&uact=5
https://github.com/HawkAaron/E2E-ASR/blob/master/ctc_decoder.py | E2E-ASR/ctc_decoder.py at master · HawkAaron/E2E-ASR
http://www.voidcn.com/article/p-zvipaxbs-brq.html | SSD源码解读2-PriorBoxLayer - 程序园
http://www.voidcn.com/article/p-nlnokoec-brq.html | SSD源码解读3-MultiBoxLossLayer - 程序园
https://github.com/Jack-Lee-Hiter/AlgorithmsByPython/blob/master/%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84.md | AlgorithmsByPython/数据结构.md at master · Jack-Lee-Hiter/AlgorithmsByPython
https://github.com/xingyizhou/CenterNet/blob/master/readme/GETTING_STARTED.md | CenterNet/GETTING_STARTED.md at master · xingyizhou/CenterNet
https://github.com/hhy5277/car_keypoint_caffe/blob/master/src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp | car_keypoint_caffe/sigmoid_cross_entropy_loss_layer.cpp at master · hhy5277/car_keypoint_caffe
https://www.baidu.com/s?ie=UTF-8&wd=min_aspect_ratio | min_aspect_ratio_百度搜索
https://blog.csdn.net/daniaokuye/article/details/78565817 | SSD的caffe源码解读 -- 数据增强_daniaokuye的专栏-CSDN博客
https://blog.csdn.net/daniaokuye/article/details/78565817?utm_source=blogxgwz1 | SSD的caffe源码解读 -- 数据增强_daniaokuye的专栏-CSDN博客
https://www.baidu.com/s?ie=UTF-8&wd=GroupObjectBBoxes | GroupObjectBBoxes_百度搜索
https://blog.csdn.net/txywfk/article/details/84984978 | SSD数据增强中的batch_sampler方法_王跑跑的专栏-CSDN博客
http://www.voidcn.com/article/p-kiabfjft-brq.html | SSD原理解读及源码解读1-数据层AnnotatedDataLayer - 程序园
https://github.com/CongWeilin/mtcnn-caffe/blob/master/demo/tools_matrix.py | mtcnn-caffe/tools_matrix.py at master · CongWeilin/mtcnn-caffe
https://blog.csdn.net/mzpmzk/article/details/100161187 | SSD 中的数据增强_Man-CSDN博客
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=1&ch=&tn=baidu&bar=&wd=caffe+%E6%96%B0%E5%B1%82&rn=&oq=LayerSetUp&rsv_pq=b68234ce0016f9e6&rsv_t=768aNcpj4hiq24EGM1YL3m5Dcp2npi%2BlRg6NwRcKa1AET5kRSAPCK%2FXLeWk&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=13217 | caffe 新层_百度搜索
https://www.cnblogs.com/573177885qq/p/6065625.html | Caffe学习系列(15):添加新层 - 牧马人夏峥 - 博客园
https://www.baidu.com/s?ie=UTF-8&wd=caffe%20ssd%20probox%20%E5%8F%82%E6%95%B0 | caffe ssd probox 参数_百度搜索
https://blog.csdn.net/kaien1226/article/details/88894513 | ssd caffe PriorBox参数计算box 个数_无尽的Bug-CSDN博客
https://zhuanlan.zhihu.com/p/41674645 | 对CTC的理解及一些公式的推导 - 知乎
https://zhuanlan.zhihu.com/p/43534801 | 一文读懂CRNN+CTC文字识别 - 知乎
https://github.com/houkai/caffe/blob/master/src/caffe/layers/ctc_decoder_layer.cpp | caffe/ctc_decoder_layer.cpp at master · houkai/caffe
https://xiaodu.io/ctc-explained/ | CTC Algorithm Explained Part 1:Training the Network(CTC算法详解之训练篇) - Yudong's Blog
https://github.com/ayumiymk/aster.pytorch | ayumiymk/aster.pytorch: ASTER in Pytorch
http://122.205.5.5:8071/UpLoadFiles/Papers/ASTER_PAMI18.pdf | ASTER_PAMI18.pdf
https://github.com/WarBean/tps_stn_pytorch/blob/master/grid_sample.py | tps_stn_pytorch/grid_sample.py at master · WarBean/tps_stn_pytorch
https://blog.csdn.net/zh8706/article/details/95320367 | Caffe学习(六):Caffe 添加自定义层_夜风里唱的专栏-CSDN博客
https://blog.csdn.net/zh8706/article/list/1 | 夜风里唱的专栏_夜风里唱_CSDN博客-深度学习,Caffe,项目管理领域博主
https://blog.csdn.net/zh8706/article/details/95034867 | Caffe学习(三):Caffe solver文件参数详细解析_夜风里唱的专栏-CSDN博客
https://blog.csdn.net/zh8706/article/details/94737257 | Caffe学习(四):Windows使用Cifar10训练及测试Caffe版DenseNet_夜风里唱的专栏-CSDN博客
https://blog.csdn.net/baidu_38172402/article/details/86669305 | make pycaffe 报错:“fatal error: numpy/arrayobject.h: No such file or directory” 解决方案_baidu_38172402的博客-CSDN博客
https://github.com/xxradon/PytorchToCaffe | xxradon/PytorchToCaffe: Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs
https://stackoverflow.com/questions/34295136/importerror-dynamic-module-does-not-define-module-export-function-pyinit-caff | python - ImportError: dynamic module does not define module export function (PyInit__caffe) - Stack Overflow
https://www.cnblogs.com/denny402/p/5679037.html | caffe的python接口学习(1):生成配置文件 - denny402 - 博客园
https://www.cnblogs.com/denny402/p/5082341.html | Caffe学习系列(11):图像数据转换成db(leveldb/lmdb)文件 - denny402 - 博客园
https://www.google.com.hk/search?newwindow=1&safe=active&sxsrf=ACYBGNT8-cHeGkYLSsQgIAq7xZGjYKfWzA%3A1578475450588&source=hp&ei=up8VXvWUIqOAk74Pv6ej4A4&q=caffe+keypoint+detection&oq=caffe+keypoint&gs_l=psy-ab.3.0.0i22i30.428.4410..6434...2.0..0.1204.5852.3-12j1j7-1......0....1..gws-wiz.....10..35i362i39j0j35i39j0i20i263j0i10j0i22i10i30j0i13.77x1Gt3taoo | caffe keypoint detection - Google Search
https://awesomeopensource.com/projects/caffe | The Top 168 Caffe Open Source Projects
https://github.com/7color94/kaggle-facial-keypoints-detection-caffe/blob/master/dataset/prepare.py | kaggle-facial-keypoints-detection-caffe/prepare.py at master · 7color94/kaggle-facial-keypoints-detection-caffe
https://github.com/Hzzone/Hand-Keypoint-Detection/blob/master/ssd_camera.py | Hand-Keypoint-Detection/ssd_camera.py at master · Hzzone/Hand-Keypoint-Detection
https://github.com/weiliu89/caffe/issues?page=2&q=coco&utf8=%E2%9C%93 | Issues · weiliu89/caffe
https://github.com/weiliu89/caffe/blob/ssd/data/coco/README.md | caffe/README.md at ssd · weiliu89/caffe
https://github.com/BVLC/caffe/blob/master/src/caffe/util/io.cpp | caffe/io.cpp at master · BVLC/caffe
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=1&ch=&tn=baidu&bar=&wd=caffe.pb.h&rn=&oq=caffe%2520proto&rsv_pq=c8064a8d000a0db0&rsv_t=ebad%2BqjIukPUSjsq%2F1u1Qygr%2BAxY%2B3osFGm4fDaV2J3Pz8P8SyTQW1fYr%2BQ&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=823 | caffe.pb.h_百度搜索
https://blog.csdn.net/qq_26697045/article/details/86559412 | Caffe:生成caffe.pb.h_sinoai-CSDN博客
https://blog.csdn.net/u013608424/article/details/80117906 | 找不到caffe/proto/caffe.pb.h?_靖harry的博客-CSDN博客
https://blog.csdn.net/jiongnima/article/list/2 | jiongnima的博客_CSDN博客-caffe,科研经验,tensorflow领域博主
https://github.com/weiliu89/caffe/tree/ssd | weiliu89/caffe at ssd
https://arxiv.org/pdf/1901.08043.pdf | 1901.08043.pdf
https://www.cnblogs.com/34fj/p/9139756.html | CNN感受野计算 - 喵喵帕斯 - 博客园
https://github.com/nusr/hacker-laws-zh#%e9%98%bf%e5%a7%86%e8%be%be%e5%b0%94%e5%ae%9a%e5%be%8b-amdahls-law | nusr/hacker-laws-zh: 💻📖对开发人员有用的定律、理论、原则和模式。(Laws, Theories, Principles and Patterns that developers will find useful.)
https://github.com/ZhaoJ9014/face.evoLVe.PyTorch | ZhaoJ9014/face.evoLVe.PyTorch: 🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
https://github.com/xingyizhou/CenterNet/blob/master/readme/DEVELOP.md | CenterNet/DEVELOP.md at master · xingyizhou/CenterNet
https://stackoverflow.com/questions/56247323/coco-api-evaluation-for-subset-of-classes | python - COCO api evaluation for subset of classes - Stack Overflow
https://blog.csdn.net/weixin_42634342/article/details/97756458 | 在SeaShips数据集上训练CenterNet网络_weixin_42634342的博客-CSDN博客
https://blog.csdn.net/weixin_41765699/article/details/100118353 | (绝对详细)CenterNet训练自己的数据(pytorch0.4.1)_limber博客-CSDN博客
https://blog.csdn.net/weixin_43509263/article/details/100799415 | (最新版本)如何在CenterNet上训练自己的数据集?_weixin_43509263的博客-CSDN博客
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=1&ch=&tn=baidu&bar=&wd=mscoco&oq=mscoco%25E5%2585%25B3%25E9%2594%25AE%25E7%2582%25B9%2520%25E8%25AF%2584%25E4%25BC%25B0&rsv_pq=cbd79b540004fa6b&rsv_t=db61%2Fwd1lIcRFdwGR3dJodVBnnuvpKzxCeyw0eG32Rcl8qpTXaFCdYBpToY&rqlang=cn&rsv_enter=1&rsv_dl=tb&inputT=1272 | mscoco_百度搜索
http://cocodataset.org/#keypoints-eval | COCO - Common Objects in Context
https://blog.csdn.net/qq_35941018/article/details/88044623 | 理解COCO关键点检测评价指标_qq_35941018的博客-CSDN博客
https://blog.csdn.net/u014734886/article/details/78837961 | MS COCO数据集人体关键点评估(Keypoint Evaluation)(来自官网)_南国那片枫叶的博客-CSDN博客
https://www.zhihu.com/search?type=content&q=%E5%85%B3%E9%94%AE%E7%82%B9%E6%A3%80%E6%B5%8B%E8%AF%84%E4%BC%B0 | 关键点检测评估 - 搜索结果 - 知乎
https://arxiv.org/pdf/1902.10859.pdf | 1902.10859.pdf
https://github.com/weidafeng/CCPD2COCO | weidafeng/CCPD2COCO: Convert CCPD to COCO format, including bounding box, segmentation mask, segmentation map.
https://github.com/CaoWGG/Mobilenetv2-CenterNet/blob/master/mobilenetv2.py | Mobilenetv2-CenterNet/mobilenetv2.py at master · CaoWGG/Mobilenetv2-CenterNet
https://github.com/xingyizhou/CenterNet/blob/master/src/lib/datasets/sample/multi_pose.py#L141 | CenterNet/multi_pose.py at master · xingyizhou/CenterNet
https://github.com/xggIoU/centernet_tensorflow_wilderface_voc | xggIoU/centernet_tensorflow_wilderface_voc: This is the unofficial implementation of the "CenterNet:Objects as Points".Just a simple try with self-modified shufflenetv2 and yolov3.If you want better results, you need more experiments.
https://github.com/qinjx/30min_guides/blob/master/shell.md | 30min_guides/shell.md at master · qinjx/30min_guides
https://github.com/polarisZhao/PFLD-pytorch | polarisZhao/PFLD-pytorch: PFLD pytorch Implementation
https://github.com/yuanyuanli85/FashionAI_KeyPoint_Detection_Challenge_Keras | yuanyuanli85/FashionAI_KeyPoint_Detection_Challenge_Keras: Code for TianChi 2018 FashionAI Cloth KeyPoint Detection Challenge
https://github.com/namedBen/Convolutional-Pose-Machines-Pytorch/blob/master/train_val/cpm_train.py | Convolutional-Pose-Machines-Pytorch/cpm_train.py at master · namedBen/Convolutional-Pose-Machines-Pytorch
https://www.baidu.com/s?ie=UTF-8&wd=Realtime%20Multi-Person%202D%20Pose%20Estimation%20using%20Part%20Affinity%20Fields | Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields_百度搜索
https://blog.csdn.net/u011681952/article/details/85695623 | 2D多人关键点:《Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields》 - Mingx9527
https://blog.csdn.net/tangbin2009/article/details/81122788 | Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields【菜鸟读者】 - tangbin2009的专栏
https://blog.csdn.net/qq_31347869/article/details/89469001 | Ubuntu 16.04下Caffe的配置过程 - monnn
https://chunml.github.io/ChunML.github.io/project/Installing-Caffe-Ubuntu/ | Installing Caffe on Ubuntu 16.04 (GPU Mode with CUDA) - Chun’s Machine Learning Page
https://paperswithcode.com/task/keypoint-detection/latest#code | Papers With Code : Keypoint Detection
https://blog.csdn.net/u012426298/article/details/81093667 | 人体关键点检测 | 综述(1) - 东南风的博客 - CSDN博客
https://github.com/guoqiangqi/PFLD | guoqiangqi/PFLD: Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
https://github.com/Star-Clouds/CenterFace/blob/master/evaluation.md | CenterFace/evaluation.md at master · Star-Clouds/CenterFace
https://github.com/detectRecog/CCPD | detectRecog/CCPD: [ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition
https://github.com/Star-Clouds/CenterFace | Star-Clouds/CenterFace: face detection
https://github.com/2017TJM/CCPD-data-for-YOLO-v3/blob/master/CCPD%E6%95%B0%E6%8D%AE%E9%9B%86%E5%88%B6%E4%BD%9CYOLO%20v3%E6%95%B0%E6%8D%AE%E9%9B%86.py | CCPD-data-for-YOLO-v3/CCPD数据集制作YOLO v3数据集.py at master · 2017TJM/CCPD-data-for-YOLO-v3
https://github.com/weidafeng/CCPD2COCO/blob/a93129cb1266f5fefe8245450d9c98f8df11dc0b/ccpd_to_coco.py | CCPD2COCO/ccpd_to_coco.py at a93129cb1266f5fefe8245450d9c98f8df11dc0b · weidafeng/CCPD2COCO
https://zhuanlan.zhihu.com/p/49830963 | 改进版OpenPose - 知乎
https://www.baidu.com/s?ie=UTF-8&wd=Part%20Affinity%20Fields | Part Affinity Fields_百度搜索
https://www.cnblogs.com/CZiFan/p/9703685.html | Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields(理解) - CZiFan - 博客园
https://www.cnblogs.com/CZiFan/p/9708746.html | 匈牙利算法 - CZiFan - 博客园
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=bipartite+matchings&oq=bipartite%2520matchings&rsv_pq=efba32e000195d69&rsv_t=e29db2JoL6bWZx6y%2BYIopJ%2B1cDL9josiuXMDsLqGmO%2FgiBw%2BE9E6scyO7Yk&rqlang=cn&rsv_enter=0&rsv_dl=tb | bipartite matchings_百度搜索
http://www.csie.ntnu.edu.tw/~u91029/Matching.html | 演算法筆記 - Matching
https://baijiahao.baidu.com/s?id=1616937780756503890&wfr=spider&for=pc | CVPR2017|实时多人姿态评估 Part Affinity Fields
https://github.com/deepinsight/insightface | deepinsight/insightface: Face Analysis Project on MXNet
https://github.com/TreB1eN/InsightFace_Pytorch | TreB1eN/InsightFace_Pytorch: Pytorch0.4.1 codes for InsightFace
https://github.com/ayushidalmia/awesome-fashion-ai | ayushidalmia/awesome-fashion-ai: A repository to curate and summarise research papers related to fashion and e-commerce
https://github.com/wangzheallen/awesome-human-pose-estimation | wangzheallen/awesome-human-pose-estimation: Human Pose Estimation Related Publication
https://github.com/StarStyleSky/awesome-face-detection#papers | StarStyleSky/awesome-face-detection: face_detection_paper_code
https://github.com/supernotman/RetinaFace_Pytorch | supernotman/RetinaFace_Pytorch: Reimplement RetinaFace with Pytorch
https://blog.csdn.net/huiyuanliyan/article/list/1?t=1& | 木子山石的学习笔记 - CSDN博客
https://github.com/LitLeo/TensorRT_Tutorial/blob/master/Samples/sampleINT8.md | TensorRT_Tutorial/sampleINT8.md at master · LitLeo/TensorRT_Tutorial
https://kezunlin.me/post/30e0cb19/ | tensorrt int8 tutorial | C++ Python. Computer Vision & Deep Learning | KeZunLin's Blog
https://devblogs.nvidia.com/speed-up-inference-tensorrt/ | How to Speed Up Deep Learning Inference Using TensorRT | NVIDIA Developer Blog
https://www.jianshu.com/c/1e9b75c7877e | Jetson TX2/Xavier - 专题 - 简书
https://docs.nvidia.com/jetson/l4t/index.html#page/Tegra%2520Linux%2520Driver%2520Package%2520Development%2520Guide%2FAppendixTegraStats.html | Tegra Linux Driver
https://www.zhihu.com/search?q=int8%E9%87%8F%E5%8C%96&utm_content=search_suggestion&type=content | int8量化 - 搜索结果 - 知乎
https://www.cnblogs.com/deepllz/p/11672912.html | tensorrt int8量化原理几点问题记录 - 灰太狼锅锅 - 博客园
https://github.com/NVIDIA/TensorRT/blob/master/samples/opensource/sampleSSD/README.md | TensorRT/README.md at master · NVIDIA/TensorRT
https://www.cnblogs.com/smallredness/p/11066758.html | std::chrono计算程序运行时间 - JohnRed - 博客园
https://docs.nvidia.com/deeplearning/sdk/tensorrt-developer-guide/index.html#overview | TensorRT Developer Guide :: Deep Learning SDK Documentation
https://docs.nvidia.com/metropolis/TLT/tlt-getting-started-guide/index.html#pruning_models | IVA Getting Started Guide :: Metropolis Documentation
https://arleyzhang.github.io/articles/21c44637/ | 目标检测-从RCNN到Mask RCNN两步检测算法总结 | arleyzhang
https://www.zhihu.com/search?type=content&q=pruning | (9 条消息) pruning - 搜索结果 - 知乎
https://docs.nvidia.com/cuda/ | CUDA Toolkit Documentation
http://blog.lujun9972.win/blog/2018/04/17/meminfo%E6%96%87%E4%BB%B6%E8%AF%A6%E8%A7%A3/ | meminfo文件详解 - 暗无天日
https://www.baidu.com/s?ie=UTF-8&wd=tx2%20%E8%AE%A1%E7%AE%97%E7%A8%8B%E5%BA%8F%E5%86%85%E5%AD%98%E4%BD%BF%E7%94%A8 | tx2 计算程序内存使用_百度搜索
https://blog.csdn.net/u012254599/article/details/101194004 | 在Ubuntu、NVIDIA_TX2下查看CPU/GPU/内存使用率 - u012254599的博客 - CSDN博客
https://devtalk.nvidia.com/default/topic/974063/jetson-tx1/caffe-failed-with-py-faster-rcnn-demo-py-on-tx1/post/5013784/#5013784 | Caffe failed with py-faster-rcnn demo.py on TX1 - NVIDIA Developer Forums
https://blog.csdn.net/qq849635649/article/details/51564338 | 一点一点学写Makefile(3)-增加第三方库和头文件 - qq849635649的博客 - CSDN博客
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=cmake%E5%A4%B4%E6%96%87%E4%BB%B6&oq=gcc%2520%25E5%25A4%25B4%25E6%2596%2587%25E4%25BB%25B6&rsv_pq=f5637afe00037957&rsv_t=e89buht8nB9ylmS2vW7L33Sc7E8vKdjqHCMEtS00DpEVZWiv6OpHtU9IruA&rqlang=cn&rsv_dl=tb&rsv_enter=1&inputT=8394 | cmake头文件_百度搜索
https://blog.csdn.net/qq_38329197/article/details/86500071 | CMakeLists.txt和.h头文件 - qq_38329197的博客 - CSDN博客
https://www.cnblogs.com/binbinjx/p/5626916.html | cmake 添加头文件目录,链接动态、静态库 - 王彬彬 - 博客园
https://www.baidu.com/s?wd=c%2B%2B%E7%A8%8B%E5%BA%8F%E4%B8%AD%E6%8C%87%E5%AE%9A%E5%9C%B0%E6%96%B9%E8%BF%90%E8%A1%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E6%9F%A5%E7%9C%8B&pn=10&oq=c%2B%2B%E7%A8%8B%E5%BA%8F%E4%B8%AD%E6%8C%87%E5%AE%9A%E5%9C%B0%E6%96%B9%E8%BF%90%E8%A1%8C%E5%91%BD%E4%BB%A4%E8%A1%8C%E6%9F%A5%E7%9C%8B&ie=utf-8&rsv_pq=fa179c4c0011156d&rsv_t=5d5b688zJlkOSMAFczc4b9M2bEcawtgft2U3%2BhjhWeEOT38xkt5DDCrDuNU&rsv_page=1 | c++程序中指定地方运行命令行查看_百度搜索
http://ethereon.github.io/netscope/#/editor | Netscope
https://www.cnblogs.com/denny402/p/5685818.html | caffe的python接口学习(5):生成deploy文件 - denny402 - 博客园
https://github.com/xingyizhou/CenterNet | xingyizhou/CenterNet: Object detection, 3D detection, and pose estimation using center point detection:
https://github.com/CharlesShang/DCNv2 | CharlesShang/DCNv2: Deformable Convolutional Networks v2 with Pytorch
https://docs.nvidia.com/deeplearning/sdk/tensorrt-best-practices/index.html#batching | Best Practices For TensorRT Performance :: Deep Learning SDK Documentation
http://172.16.96.2/disable/disable.htm?url_type=%E7%BD%91%E7%BB%9C%E5%AD%98%E5%82%A8/%E9%81%93%E5%AE%A2%E5%B7%B4%E5%B7%B4%5B%E6%B5%8F%E8%A7%88%5D&plc_name=%E7%A6%81%E6%AD%A2%49%4D%E8%BD%AF%E4%BB%B6%E5%92%8C%E7%BD%91%E7%9B%98%E7%9A%84%E4%B8%8A%E4%BC%A0%E4%B8%8B%E8%BD%BD | URL过滤
https://www.jianshu.com/p/e284119ed770 | opencv操作图像像素和通道 - 简书
https://www.cnblogs.com/jfdwd/p/9249850.html | 小波变换(wavelet transform)的通俗解释(一) - 交流_QQ_2240410488 - 博客园
https://www.cnblogs.com/zy230530/p/7229597.html?utm_source=itdadao&utm_medium=referral | 关于caffe 是如何卷积的一点总结 - 笨鸟多学 - 博客园
https://blog.csdn.net/henuhhd/article/details/79368929 | strcmp( )函数 - henuhhd的博客 - CSDN博客
https://blog.csdn.net/czl389/article/details/67689625 | 图像单应性变换理解 - czl389的专栏 - CSDN博客
https://blog.csdn.net/czl389/article/details/60325970 | 图像拼接(六):OpenCV单应变换模型拼接两幅图像 - czl389的专栏 - CSDN博客
https://www.cnblogs.com/wangguchangqing/p/8287585.html | SLAM入门之视觉里程计(5):单应矩阵 - Brook_icv - 博客园
https://blog.csdn.net/robinhjwy/article/details/79174914 | RANSAC算法理解 - robinhjwy的博客 - CSDN博客
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https://www.baidu.com/s?ie=UTF-8&wd=Intel%20IPP%E5%9B%BE%E5%83%8F%E5%BA%93%E6%89%8B%E5%86%8C | Intel IPP图像库手册_百度搜索
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https://sites.google.com/view/mediaforensics2019/program | Program
http://cvpr2017.thecvf.com/program/workshops | CVPR2017
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https://www.baidu.com/s?ie=UTF-8&wd=ipp | ipp_百度搜索
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https://baike.baidu.com/item/IPP/9970600?fr=aladdin | IPP(平台软件函数库)_百度百科
https://www.cnblogs.com/latencytime/p/10228938.html | 二维离散余弦变换(2D-DCT) - 等风南吹 - 博客园
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https://github.com/yannadani/image_tampering_detection_references | yannadani/image_tampering_detection_references: A list of papers, codes and other interesting collections pertaining to image tampering detection and localization.
http://homeway.me/ | 夏日小草
https://github.com/vishu160196/image-forgery-detection | vishu160196/image-forgery-detection: Using CNN's to detect doctored images
https://github.com/rahmatnazali/image-copy-move-detection | rahmatnazali/image-copy-move-detection: Copy-move forgery detection on digital image using Python
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https://barrgroup.com/tech-talks/checksums-and-crcs
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https://github.com/lammertb/libcrc/blob/master/src/crc32.c | libcrc/crc32.c at master · lammertb/libcrc
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https://note.youdao.com/web/#/file/recent/markdown/WEBc4ecccd92081a169bfeefa99ba56cb1e/ | 有道云笔记
https://mp.weixin.qq.com/s?__biz=MzI1NTE4NTUwOQ==&mid=2650325617&idx=1&sn=c941e03add12204f43f40a801e554413&chksm=f235a57bc5422c6d10602e1ebf87d231333b1ae869740c90e9092ab654dd92188b4890fffaff&scene=0#wechat_redirect | 深度学习大讲堂
https://www.google.com.hk/search?newwindow=1&safe=active&source=hp&ei=j6v4XNCgI4T38gWnmbs4&q=pytorch+conv2d+source+code&oq=pytorch+source+code&gs_l=psy-ab.3.4.0l3j0i22i30l7.1053339.1060296..1068421...8.0..1.617.6894.0j9j6j3j3j3......0....1..gws-wiz.....6..35i39j0i131j0i203.VYRcdbELyaw
https://discuss.pytorch.org/t/how-to-find-the-source-code-of-conv2d-backward-function/19139/9 | How to find the source code of conv2d backward function - vision - PyTorch Forums
https://github.com/pytorch/pytorch/blob/master/torch/csrc/api/src/nn/modules/conv.cpp | pytorch/conv.cpp at master · pytorch/pytorch
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&ch=&tn=baidu&bar=&wd=img2col&oq=pytorch%2520img2col&rsv_pq=b51c33af000532d0&rsv_t=edb3VG6sFnXaxsAz3Jqszhl%2FOcyU5dNYbAoq0xOA%2FzurKMkV5e26wV%2FjVbc&rqlang=cn&rsv_enter=1&inputT=910 | img2col_百度搜索
https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/blob/pytorch_1.0.0/test.py | Deformable-Convolution-V2-PyTorch/test.py at pytorch_1.0.0 · chengdazhi/Deformable-Convolution-V2-PyTorch
https://www.baidu.com/s?ie=UTF-8&wd=Objects%20as%20Points | Objects as Points_百度搜索
https://blog.csdn.net/c20081052/article/details/89358658 | 论文精读——CenterNet :Objects as Points - c20081052的专栏 - CSDN博客
https://github.com/xingyizhou/CenterNet/blob/master/src/lib/opts.py | CenterNet/opts.py at master · xingyizhou/CenterNet
https://github.com/open-mmlab/mmdetection/blob/master/INSTALL.md | mmdetection/INSTALL.md at master · open-mmlab/mmdetection
https://www.baidu.com/s?ie=UTF-8&wd=pycharm%20%E8%BF%9C%E7%A8%8B%E8%B0%83%E8%AF%95 | pycharm 远程调试_百度搜索
https://blog.csdn.net/five3/article/details/78615589 | Pycharm配置远程调试 - 上帝De助手 - CSDN博客
https://www.cnblogs.com/xuegqcto/p/8621689.html | PyCharm实现高效远程调试代码 - xuegqcto - 博客园
https://www.zhihu.com/search?type=content&q=%E5%9B%BE%E7%89%87%E9%89%B4%E5%AE%9A | (17 条消息) 图片鉴定 - 搜索结果 - 知乎
https://www.zhihu.com/people/x.xll/posts | (17 条消息) 谢幺 - 知乎
https://scholar.google.com.hk/scholar?cites=13870233210352646135&as_sdt=2005&sciodt=0,5&hl=en | Zhou: Learning rich features for image manipulation... - Google Scholar
https://ieeexplore.ieee.org/abstract/document/8713484 | Noiseprint: a CNN-based camera model fingerprint - IEEE Journals & Magazine
https://ieeexplore.ieee.org/abstract/document/8626149 | Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries - IEEE Journals & Magazine
https://github.com/pengzhou1108/RGB-N | pengzhou1108/RGB-N
https://github.com/LarryJiang134/Image_manipulation_detection/blob/master/demo_two_stream.py | LarryJiang134/Image_manipulation_detection: Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
https://www.nist.gov/itl/iad/mig/tools | Tools | NIST
https://www.google.com.hk/search?newwindow=1&safe=active&source=hp&ei=6Eb_XMW8O82h-QaNra7ADw&q=Hybrid+LSTM+and+Encoder%E2%80%93Decoder+Architecture+for+Detection+of+Image+Forgeries&oq=Hybrid+LSTM+and+Encoder%E2%80%93Decoder+Architecture+for+Detection+of+Image+Forgeries&gs_l=psy-ab.12...25165.25165..26022...1.0..0.147.147.0j1......0....2j1..gws-wiz.....0.fyK16TGrCGY | Hybrid LSTM and Encoder–Decoder Architecture for Detection of Image Forgeries - Google Search
https://www.semanticscholar.org/paper/Hybrid-LSTM-and-Encoder-Decoder-Architecture-for-of-Bappy-Simons/cf6eb6c1d79b04c7a9857741ae641d90951eb16d
https://www.youtube.com/watch?v=lEuE9Ya3vVQ
https://www.researchgate.net/publication/330566355_Hybrid_LSTM_and_Encoder-Decoder_Architecture_for_Detection_of_Image_Forgeries | (PDF) Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries
https://arxiv.org/pdf/1903.02495.pdf | https://arxiv.org/pdf/1903.02495.pdf
http://openaccess.thecvf.com/CVPR2019.py | CVPR 2019 Open Access Repository
https://arxiv.org/pdf/1512.02325.pdf | 1512.02325.pdf
https://blog.csdn.net/weixin_34072637/article/details/87435933 | mmdetection-安装 - weixin_34072637的博客 - CSDN博客
https://blog.csdn.net/mingqi1996/article/details/88091802 | mmdetection检测训练和源码解读 - mingqi1996的博客 - CSDN博客
https://arxiv.org/ | arXiv.org e-Print archive
https://www.baidu.com/s?ie=UTF-8&wd=ssd%20%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B | ssd 目标检测_百度搜索
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=1&ch=&tn=baidu&bar=&wd=cocoapi%E8%AE%A1%E7%AE%97%E7%89%B9%E5%AE%9A%E7%B1%BB%E7%9A%84ap&rn=&oq=cocoapi%25E6%2580%258E%25E4%25B9%2588%25E6%258A%258A%25E6%25AF%258F%25E4%25B8%25AA%25E7%25B1%25BB%25E7%259A%2584ap&rsv_pq=fa879d4d003fd353&rsv_t=a85aCwQT69jplG1yHMBjKolJEWg6QWe7OAwLJCFonS2G4DKnav%2F3tYnYh9Q&rqlang=cn&rsv_enter=1&inputT=5638 | cocoapi计算特定类的ap_百度搜索
https://blog.csdn.net/qq_33074561/article/details/81980494 | 如何利用cocoAPI 评估yolov3 模型,计算mAP - qq_33074561的博客 - CSDN博客
https://blog.csdn.net/xidaoliang/article/details/88397280 | 利用COCOAPI计算Yolov3训练出的模型的MAP值,复现ap - xidaoliang的博客 - CSDN博客
https://blog.csdn.net/qq_27721259/article/details/83932927 | 如何使用COCO数据集api评估特定类别的AP - qq_27721259的博客 - CSDN博客
https://note.youdao.com/web/#/file/recent/markdown/WEB606713009c2e140861b8b5605b13b338/ | 有道云笔记
https://blog.csdn.net/xiaohu2022/article/details/79833786 | 目标检测算法之SSD - 小白将 - CSDN博客
https://blog.csdn.net/xiaohu2022/article/details/79833786 | 目标检测算法之SSD - 小白将 - CSDN博客
https://github.com/princeton-vl/CornerNet-Lite | princeton-vl/CornerNet-Lite
https://github.com/facebookresearch/maskrcnn-benchmark | facebookresearch/maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
https://blog.csdn.net/nature553863/article/details/85321210 | PeleeNet——一种面向实时应用的精简CNN结构 - AI Flash - CSDN博客
https://pytorch.org/tutorials/intermediate/dist_tuto.html | Writing Distributed Applications with PyTorch — PyTorch Tutorials 1.1.0.dev20190507 documentation
https://pytorch.org/tutorials/beginner/pytorch_with_examples.html | Learning PyTorch with Examples — PyTorch Tutorials 1.1.0.dev20190507 documentation
https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocotools/cocoeval.py | cocoapi/cocoeval.py at master · cocodataset/cocoapi
https://github.com/facebookresearch/Detectron/blob/05d04d3a02/lib/datasets/voc_eval.py | Detectron/voc_eval.py at 05d04d3a024f0991339de45872d02f2f50669b3d · facebookresearch/Detectron
https://github.com/hoya012/deep_learning_object_detection | hoya012/deep_learning_object_detection: A paper list of object detection using deep learning.
https://github.com/open-mmlab/mmdetection/issues | Issues · open-mmlab/mmdetection
https://blog.csdn.net/weixin_34072637/article/details/87435933 | mmdetection-安装 - weixin_34072637的博客 - CSDN博客
https://blog.csdn.net/mingqi1996/article/details/88091802 | mmdetection检测训练和源码解读 - mingqi1996的博客 - CSDN博客
https://github.com/open-mmlab/mmdetection/blob/master/MODEL_ZOO.md | mmdetection/MODEL_ZOO.md at master · open-mmlab/mmdetection
https://arxiv.org/ | arXiv.org e-Print archive
https://www.baidu.com/s?ie=UTF-8&wd=ssd%20%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B | ssd 目标检测_百度搜索
https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=1&ch=&tn=baidu&bar=&wd=cocoapi%E8%AE%A1%E7%AE%97%E7%89%B9%E5%AE%9A%E7%B1%BB%E7%9A%84ap&rn=&oq=cocoapi%25E6%2580%258E%25E4%25B9%2588%25E6%258A%258A%25E6%25AF%258F%25E4%25B8%25AA%25E7%25B1%25BB%25E7%259A%2584ap&rsv_pq=fa879d4d003fd353&rsv_t=a85aCwQT69jplG1yHMBjKolJEWg6QWe7OAwLJCFonS2G4DKnav%2F3tYnYh9Q&rqlang=cn&rsv_enter=1&inputT=5638 | cocoapi计算特定类的ap_百度搜索
https://blog.csdn.net/qq_33074561/article/details/81980494 | 如何利用cocoAPI 评估yolov3 模型,计算mAP - qq_33074561的博客 - CSDN博客
https://blog.csdn.net/xidaoliang/article/details/88397280 | 利用COCOAPI计算Yolov3训练出的模型的MAP值,复现ap - xidaoliang的博客 - CSDN博客
https://blog.csdn.net/qq_27721259/article/details/83932927 | 如何使用COCO数据集api评估特定类别的AP - qq_27721259的博客 - CSDN博客
https://note.youdao.com/web/#/file/recent/markdown/WEB606713009c2e140861b8b5605b13b338/ | 有道云笔记
https://blog.csdn.net/xiaohu2022/article/details/79833786 | 目标检测算法之SSD - 小白将 - CSDN博客
https://github.com/pytorch/vision/blob/master/torchvision/ops/poolers.py | vision/poolers.py at master · pytorch/vision
https://www.baidu.com/s?ie=UTF-8&wd=ssd%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B | ssd目标检测_百度搜索
https://blog.csdn.net/xiaohu2022/article/details/79833786 | 目标检测算法之SSD - 小白将 - CSDN博客
https://github.com/amdegroot/ssd.pytorch#datasets | amdegroot/ssd.pytorch: A PyTorch Implementation of Single Shot MultiBox Detector