Action Recognition 0-00: mmaction2 (SlowFast)-Contents-The latest explanation without dead ends in history

Next, I will analyze mmaction2 (SlowFast-action recognition) for everyone without dead ends. The previous articles are as follows (the following are all the projects I work on, and I have done a 100% detailed interpretation of each project. As the number of projects increases, for convenience and not to be bloated, I give the following link) \color{blue}{attached at the end of the article }The official account is attached at the end of the article − \color{blue}{official account-}Official account - massive resources. \color{blue}{massive resource}.Massive resources .

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Highly recommended commercial grade project: \color{red}{Highly recommended commercial grade project:}Highly recommended commercial- level project : This is my own behavior analysis project, mainly including (1. Pedestrian detection, 2. Pedestrian tracking, 3. Behavior recognition three modules): Behavior analysis (commercial level) 00-Catalogue-The latest explanation without dead ends in history

I believe that my series of blogs may not be the earliest in China about the explanation of mmaction2 (SlowFast), but it is definitely the most detailed. The paper corresponding to this network is: SlowFast: SlowFast Networks for Video Recognition If my code has been modified a lot, in the last chapter, I will publish my modified source code\color{red}{If my code has been modified a lot, in the last chapter, I will publish my modified source
code
}If I have modified a lot of code , in the last chapter , I will publish the source code after my modification
. Let's not talk nonsense, let's start directly !

(01) Action recognition 0-01: mmaction2 (SlowFast) - resource download (prelude preparation): https://blog.csdn.net/weixin_43013761/article/details/107531921

(02) Action recognition 0-02: mmaction2 (SlowFast) - official data training test - ucf101: https://blog.csdn.net/weixin_43013761/article/details/107765771

(03) Action Recognition 0-03: mmaction2 (SlowFast) - Tell you the paper in vernacular - translation without dead ends (1): https://blog.csdn.net/weixin_43013761/article/details/107538567

(04) Action Recognition 0-04: mmaction2 (SlowFast) - Tell you the paper in vernacular - translation without dead ends (2): https://blog.csdn.net/weixin_43013761/article/details/107937333

(05) Action Recognition 0-05: mmaction2 (SlowFast) - source code analysis without dead ends (1) - cfg file comment - continuous modification and update: https://blog.csdn.net/weixin_43013761/article/details/107953391

(06) Action Recognition 0-06: mmaction2 (SlowFast) - source code analysis without dead ends (2) - training architecture overview - 1: https://blog.csdn.net/weixin_43013761/article/details/107789155

(07) Action Recognition 0-07: mmaction2 (SlowFast) - source code analysis without dead ends (3) - training architecture overview - 2: https://blog.csdn.net/weixin_43013761/article/details/107812243

(08) Action Recognition 0-08: mmaction2 (SlowFast) - source code analysis without dead ends (4) - data loading, preprocessing - 1 (key articles): https://blog.csdn.net/weixin_43013761/article/details/107790479

(09) Action Recognition 0-09: mmaction2 (SlowFast) - source code analysis without dead ends (5) - data loading, preprocessing - 2: https://blog.csdn.net/weixin_43013761/article/details/107794479

(10) Action recognition 0-10: mmaction2 (SlowFast) - source code analysis without dead ends (6) - model construction overview: https://blog.csdn.net/weixin_43013761/article/details/107952515

(11) Action recognition 0-11: mmaction2 (SlowFast) - source code analysis without dead ends (7) - slow_path, fast_path network construction: https://blog.csdn.net/weixin_43013761/article/details/107955419

(12) Action recognition 0-12: mmaction2 (SlowFast) - source code analysis without dead ends (8) - SlowFastHead - classification layer: https://blog.csdn.net/weixin_43013761/article/details/107965418

(13) Action Recognition 0-13: mmaction2 (SlowFast) - project practical code (1) - demo video test: https://blog.csdn.net/weixin_43013761/article/details/107976665

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