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})( window ) </script><script src= " https://cdn.jsdelivr.net/gh/Weidows-projects/live2d-moc3/dist/live2dcubismcore.min.js " ></script><script src= " https://cdn.jsdelivr.net/gh/Weidows-projects/live2d-moc3/dist/pixi.min.js " ></script><script src= " https://cdn.jsdelivr.net/gh/Weidows-projects/live2d-moc3/dist/live2d.min.js " ></script><meta name= "generator" content= "Hexo 6.3.0" ></head><body><div id= "loading-box" ><div class= "loading-left-bg" ></div><div class= "loading-right-bg" ></div><div class= "spinner-box" ><div class= "configure-border-1" ><div class= "configure-core" ></div></div><div class= "configure-border-2" ><div class= "configure-core" ></div></div><div class= "loading-word" > Loading </div></div></div><div id= "web_bg" ></div><div id= "sidebar" ><div id= "menu-mask" ></div><div id= "sidebar-menus" ><div class= "avatar-img is-center" ><img src= " https://www.helloimg.com/images/2022/07/01/ZMNK9R.png " onerror= 'onerror=null,src="null"' alt= "avatar" ></div><div class= "sidebar-site-data site-data is-center" ><a href= "/archives/" ><div class= "headline" > article </div><div class= "length-num" > one hundred and twenty-eight </div></a><a href= "/tags/" ><div class= "headline" > label </div><div class= "length-num" > one hundred and seventy-nine </div></a><a href= "/categories/" ><div class= "headline" > classification </div><div class= "length-num" > thirty-eight </div></a></div><hr><div class= "menus_items" ><div class= "menus_item" ><a class= "site-page" href= "/" ><i class= "fa-fw fas fa-plane" ></i><span> home page </span></a></div><div class= "menus_item" ><a class= "site-page" target= "_blank" rel= "noopener" href= " https://travellings.now.sh " ><i class= "fa-fw fas fa-car" ></i><span> To </span></a></div><div class= "menus_item" ><a class= "site-page group" href= "javascript:void(0);" ><i class= "fa-fw fas fa-home" ></i><span> This station </span><i class= "fas fa-chevron-down" ></i></a><ul class= "menus_item_child" ><li><a class= "site-page child" href= "/tags/charts" ><i class= "fa-fw fas fa-signal" ></i><span> Article statistics </span></a></li><li><a class= "site-page child" href= "/tags" ><i class= "fa-fw fas fa-tags" ></i><span> label </span></a></li><li><a class= "site-page child" href= "/categories" ><i class= "fa-fw fas fa-folder-open" ></i><span> classification </span></a></li><li><a class= "site-page child" href= "/archives" ><i class= "fa-fw fas fa-archive" ></i><span> time axis </span></a></li><li><a class= "site-page child" target= "_blank" rel= "noopener" href= " https://weidows.gitee.io " ><i class= "fa-fw fas fa-bath" ></i><span> Gitee Station </span></a></li><li><a class= "site-page child" href= " https://weidows.github.io " ><i class= "fa-fw fas fa-shower" ></i><span> GitHub station </span></a></li></ul></div><div class= "menus_item" ><a class= "site-page group" href= "javascript:void(0);" ><i class= "fa-fw fas fa-rocket" ></i><span> Portal </span><i class= "fas fa-chevron-down" ></i></a><ul class= "menus_item_child" ><li><a class= "site-page child" target= "_blank" rel= "noopener" href= " https://github.com/Weidows-projects " ><span> Weidows-projects </span></a></li><li><a class= "site-page child" target= "_blank" rel= "noopener" href= " https://github.com/Weidows?tab=repositories " ><span> GitHub warehouse </span></a></li><li><a class= "site-page child" target= "_blank" rel= "noopener" href= " https://1drv.ms/u/s ! 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Planetarian: Chiisana Hoshi No Yume &gt;& gt; Basic Conceptual Measurement Unit Noun Conceptual Astronomical Unit AU 1AU=Earth Sun Orbit Semi Major Axis Angle Second 1 ′ ′=160 ∨ 601 ^ { prime prime}= frac {1} {60 cdot 60} 1 ′ ′=60 ∨ 601 Degree second gap ps 1second gap=1AUTan1 ′ ′=648000AU π ≈ 3.26 light years frac {1AU} {tan1 ^ { prime prime}}}= frac {648000AU} { pi} \Approx 3.26 light year tan1 ′ ′ 1AU=π 648000AU ≈ 3.26 light year [2] M ⊙ Unit solar mass M ⊙=1.989 ·1030kgM ⊙=1.989 cdot 10 ^ {30} kgM ⊙=1.989 ·1030kg absolute magnitude apparent magnitude </div></div></div><div class= "recent-post-item" ><div class= "post_cover right" ><a href= "/post/life/reflections/whois/" title= " 😶 On personnel selection“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/02/27/GVEf16.jpg " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 😶 On personnel selection“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/life/reflections/whois/" title= " 😶 On personnel selection“ > 😶 On personnel selection </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-09-15T08:05:56.000Z" title= "Published on 2022-09-15 16:05:56" > 2022-09-15 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-09-26T16:46:06.390Z" title= "Updated 2022-09-27 00:46:06" > 2022-09-27 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/qq/" > qq </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E7%94%9F%E6%B4%BB/" > life </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E5%BF%83%E7%90%86%E5%AD%A6/" > Psychology </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E5%BE%AE%E4%BF%A1/" > WeChat </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/relationship/" > relationship </a></span></div><div class= "content" > On the topic of selecting people, on the topic of selecting people, the frequency of home personality and hunter personality reverse analysis was published. On making friends or looking for someone's personality characteristics, I ended up borrowing personal opinions. Because of the analysis of psychology, it is inevitable that I will feel cold and heartless. If I apologize for everything in the world first, I can clearly mark the price-- The bounty hunters dissect from the circle of friends and space below. These two are actually very valuable. If they are used properly, they can save a lot of unnecessary time and emotion. The frequency of publishing is inversely proportional to the age stage. The degree of fitting is significant (excluding the promotion of soft articles). Some are too busy with staged reality or lack of novelty in the mechanization of life, Some of them don't have any online friends or spend most of their time with family and real friends. A small part of them are local personalities who are not interested in Internet social networking. Most of them are relatively less active in maintaining interpersonal relationships, or only maintaining small circles. It can be simply considered that they have difficulties in establishing diplomatic relations, In addition, through the time stamp of the circle of friends, we can directly know whether this person is easy to get along with. It is easy to communicate. EQ is something used in combination with the scene. Sharing desire and empathy are the difficulties in getting along, especially for older people. Under the premise of stable life, The more you send, the more friends you have, the easier it will be to get along with that person (but the opposite is not true, and the less you send, it may not be difficult to get along with that person). Home personality and hunter personality. Some people send more content within the small circle, and some people like to explore </div></div></div><div class= "recent-post-item" ><div class= "post_cover left" ><a href= "/post/tools/device/" title= " 📱 Equipment biography“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/07/11/ZWDWlq.gif " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 📱 Equipment biography“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/tools/device/" title= " 📱 Equipment biography“ > 📱 Equipment biography </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-07-11T00:55:49.000Z" title= "Published on 2022-07-11 08:55:49" > 2022-07-11 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-09-14T03:06:18.370Z" title= "Updated on 2022-09-14 11:06:18" > 2022-09-14 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/%E6%89%8B%E6%9C%BA/" > mobile phone </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E8%80%B3%E6%9C%BA/" > headset </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E7%94%B5%E8%84%91/" > computer </a></span></div><div class= "content" > Equipment life record Equipment life record Big item royole - Roupai 2 Flying Fortress - GL502-6_i7-1060 Fan-13-5800-1650 MacBook-Pro-13-16G QQMail-iCloudMail Screenshot Key Mouse Sharing Accessory picun-b16 nowall-ch1 Spider - Reaper - Tea Learning Fast Charging Processor Architecture Simulation Controller Joy Borrowing List Order Cost Performance Player, Basically, there is no expensive equipment... Poor (just record and make subjective feelings here, there is no interest), and I will also record some learning notes about hardware and electronic devices. The big item Royole - Roupai 2 used to be very keen on tossing about mobile phones (such as root/Xposed...). Now most mobile phones bought today are equipped with BL locks, so it's almost impossible to toss about. Now, I have been using Tai Chi all the time, It also meets the demand... screenshots, which can't be found online... accidentally found the double click lock screen key developer mode about mobile phones- &gt; WaterOS version- &gt; Even the N times flying fortress - GL502-6_i7-1060 has a good cost performance ratio. It is decent. The regular plane that takes money to do things is not very strong. Well, it is also an old master plane after all </div></div></div><div class= "recent-post-item" ><div class= "post_cover right" ><a href= "/post/experience/research/research/" title= " ⏲️ Misguided into the sea of scientific research“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/07/11/ZW7GFn.gif " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " ⏲️ Misguided into the sea of scientific research“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/experience/research/research/" title= " ⏲️ Misguided into the sea of scientific research“ > ⏲️ Misguided into the sea of scientific research </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-07-10T13:21:09.000Z" title= "Published on 2022-07-10 21:21:09" > 2022-07-10 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-10-01T14:03:29.445Z" title= "Updated on 2022-10-01 22:03:29" > 2022-10-01 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/math/" > math </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/" > artificial intelligence </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/research/" > research </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/dataset/" > dataset </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/" > Deep learning </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E7%82%B9%E4%BA%91/" > Point cloud </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E8%87%AA%E5%8A%A8%E9%A9%BE%E9%A9%B6/" > Automatic driving </a></span></div><div class= "content" > Mistakenly entering the scientific research sea Mistakenly entering the scientific research sea order About investigating some experiences Learn to read the paper by word Cloud analysis tool CloudCompare PCD Decode One group meeting shared composition data conversion analysis VirtualLiDAR conversion and composition time synchronization registration problems Virtual problems and double end task flow labeling problems Other problems Ouyang's proposal auto mos borrowing list order is accidental I have the opportunity to enter the Lab of a university (written in my resume). I am very grateful to some big guy 🥰 In this way, let's write down some personal experiences... It is often mentioned that we should read paper from the perspective of the third person, and not be taken as a reader or think about now.clear completely according to the author's ideas, which means: how &gt; What how they think, not what... how they do, not what... how they show, not what- &gt; 2. The idea in the middle should be called problem modeling.) For excellent and valuable implementation, we can take a look To </div></div></div><div class= "recent-post-item" ><div class= "post_cover left" ><a href= "/post/python/code/%E4%BC%AA%E9%9A%8F%E6%9C%BA%E6%95%B0%E5%8F%91%E7%94%9F%E5%99%A8/" title= " ♾️ Pseudo-random number generator“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/07/01/ZMd92o.jpg " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " ♾️ Pseudo-random number generator“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/python/code/%E4%BC%AA%E9%9A%8F%E6%9C%BA%E6%95%B0%E5%8F%91%E7%94%9F%E5%99%A8/" title= " ♾️ Pseudo-random number generator“ > ♾️ Pseudo-random number generator </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-06-30T16:59:59.000Z" title= "Published on 2022-07-01 00:59:59" > 2022-07-01 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-10-01T16:57:57.788Z" title= "Updated 2022-10-02 00:57:57" > 2022-10-02 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/%E5%AF%86%E7%A0%81%E5%AD%A6/" > cryptography </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E6%A6%82%E7%8E%87%E8%AE%BA/" > probability theory </a></span></div><div class= "content" > This generator is based on a spatial array. The random seed comes from the end bit of the time stamp. As the random number increases, the array uncertainty continues to stack. Each probability will fluctuate but there will be no bias or the black hole entropy comes from the position and order of each update, which weakens the influence of timestamp and computing power at a certain time. The idea is similar to convolution, The existing defects cannot guarantee constant probability or equal probability randomness when the past and current states are continuously superimposed on the impact on the future, but it can be approximated that the natural random array needs preheating, Preheating effect will also affect the quality of random numbers in a certain range. Small batch random effects. Deviation code 1234567891011121415161718192021223242526282930313233343536363737383940414243 from datetime import datetimearray=[i for i in range (10)] def random(): time_str=str (datetime. now(). timestamp()) if len (time_str)==16: index=0 else: </div></div></div><div class= "recent-post-item" ><div class= "post_cover right" ><a href= "/post/others/markdown/slidev/" title= " 🦭 Special for meeting wrangling - Slidev“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/07/11/ZW65TS.jpg " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 🦭 Special for meeting wrangling - Slidev“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/others/markdown/slidev/" title= " 🦭 Special for meeting wrangling - Slidev“ > 🦭 Special for meeting wrangling - Slidev </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-06-29T09:31:36.000Z" title= "Published on 2022-06-29 17:31:36" > 2022-06-29 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-08-17T14:41:49.213Z" title= "Updated on 2022-08-17 22:41:49" > 2022-08-17 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/markdown/" > markdown </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/slidev/" > slidev </a></span></div><div class= "content" > Slidev slidev installation - use error to initialize dependency problems to display loan table installation - use 1234npm install -- save @ slidev/cli # I don't recommend global installation here, but sometimes I encounter dependency problems # npm install - g @ slidev/cli can be run using scripts, which is relatively convenient (without global installation of @ slidev/cli, slidev cannot be called on the terminal) 123 &quot; scripts &quot; : &#123; &quot; slides &quot; : &quot; slidev slides.md --remote --open &quot; , &#125; , error initialization 12345678910111213D: Scoop persistent nvm nodejs v18.4.0 node_modules @ slidev cli dist chunk-IP7ZGKHI.js: 121 throw new Error (` Failed to resolve package &quot; $ &#123; importName &#125; & quo ... </div></div></div><div class= "recent-post-item" ><div class= "post_cover left" ><a href= "/post/life/%E7%8C%AB/" title= " 🙀 Cat's Head - Daily“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/06/25/ZHn6uP.png " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 🙀 Cat's Head - Daily“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/life/%E7%8C%AB/" title= " 🙀 Cat's Head - Daily“ > 🙀 Cat's Head - Daily </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-06-25T03:26:34.000Z" title= "Published on 2022-06-25 11:26:34" > 2022-06-25 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-08-28T13:04:06.199Z" title= "Updated on 2022-08-28 21:04:06" > 2022-08-28 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/%E7%8C%AB/" > cat </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E7%AC%94%E8%AE%B0/" > note </a></span></div><div class= "content" > Cat's head - Daily cat's head - Daily order: how to mix up bitten photos; Borrowing order: how to mix up; when coming to a strange environment, cat's heads are quite afraid. Contrary to most people's behavior, if you want them to let down their vigilance, you need to let them walk around the room for a while (it's better not to be locked in a cage, not to come in frequently) [1] Make sure there is a place for them to hide in the house (to relieve mental stress). During this period, don't approach them. Put food in the distance and watch them quietly for two or three days. Slowly approach them in the cat's view (don't rush or move too fast and they will be scared away). After that, learn to look at their tails to see their mood [2] The black civet flower has been gnawed off, The other two like to chew my toes and fingers... The cat likes to chew people's toes. What's the matter? What good way to stop the cat? Is it true that cats bite without rabies vaccine? Why do many people get caught by cats and don't get vaccinated? The emmmm mobile phone camera is really pulled. Sometimes it needs to hide away or take pictures at night, even more pulled... Click the picture to see the scene description borrowing table [1]: [Cute new cats] - How can cats quickly adapt to the new environment when they arrive at a new home? [2] : Read 8 languages of cat tail, cat tail can talk! Don't provoke the cat when it is impatient! [Getting to know cats EP22 </div></div></div><div class= "recent-post-item" ><div class= "post_cover right" ><a href= "/post/python/code/MM-Detection/" title= " 🐳 MM-Detection-Colab" ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/06/07/Zt0Zbz.jpg " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 🐳 MM-Detection-Colab" ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/python/code/MM-Detection/" title= " 🐳 MM-Detection-Colab" > 🐳 MM-Detection-Colab </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-06-07T09:06:50.000Z" title= "Published on 2022-06-07 17:06:50" > 2022-06-07 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-07-01T03:25:59.854Z" title= "Updated on 2022-07-01 11:25:59" > 2022-07-01 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/" > Deep learning </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/mmdetection/" > mmdetection </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/colab/" > colab </a></span></div><div class= "content" > The ordinal Colab platform is more convenient for lightweight/edge computing, especially for the tutorial like notebooks, which are shared and run out of the box, but on the other hand, because the hardware resources provided by the free version of Colab are not very stable, and if it takes too long, it will not be able to distribute GPUs, although the GPUs given must be much better than their own development machines, However, running large projects can't be carried out (and Colab runs for up to 6h at a time, and will be disconnected if there is no action for a period of time, and the runtime will be reset after a while of disconnection). Result: you can use it to learn how to build an environment and some small tests. After all, the production server application is not easy/the environment can't be disturbed due to system and network restrictions, The development machine environment is not ideal. The installation environment ranges from installation to abandonment to climbing out of the pit: (The environment installed following these articles: [2] [3], which is instructive but unclear. I first tried the water following the official video tutorial and the notebook on openbayes, which is very deep [1]; finally, I found a source library, tutorial fork, whose color notebook [4] was pre installed with cuda and cudnn (included in the color library) Dependency chain: cuda &lt; - pytorch &lt; - mmcv-full ... </div></div></div><div class= "recent-post-item" ><div class= "post_cover left" ><a href= "/post/python/%E6%9D%82/" title= " 😑 python-mess-code" ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/04/22/RHDLJD.png " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 😑 python-mess-code" ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/python/%E6%9D%82/" title= " 😑 python-mess-code" > 😑 python-mess-code </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-04-22T08:22:34.000Z" title= "Published on 2022-04-22 16:22:34" > 2022-04-22 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-07-01T03:25:59.626Z" title= "Updated on 2022-07-01 11:25:59" > 2022-07-01 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/python/" > python </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/opengl/" > opengl </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E5%A4%9A%E7%BA%BF%E7%A8%8B/" > Multithreading </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/" > artificial intelligence </a></span></div><div class= "content" > Basic static method python is not like the static keyword in Java. Instead, @ classmethod and @ staticmethod 1234567891011121314151617 class A: name= &#x27; A &#x27; #There is at least one implicit formal parameter (the cls object of this class), which can access the class attribute @ classmethod def a (cls): print (cls. name) # intangible parameter, that is, the class attribute @ staticmethod def b(): print( &#x27; b &#x27; )A. A() A.b() A b multi condition if (a | | b) When a is true, will b still be evaluated? No 123456789101112 import timedef calculate (name, t): print( &quot; calculating: &quot; , name, &quot; seconds needs: &quot; , t) ... </div></div></div><div class= "recent-post-item" ><div class= "post_cover right" ><a href= "/post/python/code/DL/" title= " 👩‍❤️‍💋‍👨 Code-4-Deep-Learning" ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/04/21/RHe8xK.png " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 👩‍❤️‍💋‍👨 Code-4-Deep-Learning" ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/python/code/DL/" title= " 👩‍❤️‍💋‍👨 Code-4-Deep-Learning" > 👩‍❤️‍💋‍👨 Code-4-Deep-Learning </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-04-20T16:26:11.000Z" title= "Published on 2022-04-21 00:26:11" > 2022-04-21 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-09-09T02:31:29.795Z" title= "Updated at 2022-09-09 10:31:29" > 2022-09-09 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/python/" > python </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/" > artificial intelligence </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/" > Deep learning </a></span></div><div class= "content" > Preface This is the code part of other articles: Reep Learning also provides the notebook form: code address neural network sensor 123456789101112131415161718192021223242526272829303132333435def AND (x1, x2): w1, w2, theta=0.5, 0.5, 0.7 tmp=x1 * w1+x2 * w2 if tmp &lt; = theta: return 0 else: return 1def OR(x1, x2): w1, w2, theta = 0.5, 0.5, 0.2 tmp = x1 * w1 + x2 * w2 if tmp &lt; =Theta: return 0 else: return 1 # Only one input is taken from the non gate, and the other is not def NOT (x1, x2): w1, w2, theta=- 1, 0, 0 tmp=x1 * w1+x2 * w2+ </div></div></div><div class= "recent-post-item" ><div class= "post_cover left" ><a href= "/post/python/AI/DL/" title= " Reep Learning“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/04/21/RHeSW9.png " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " Reep Learning“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/python/AI/DL/" title= " Reep Learning“ > Reep Learning </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-04-20T16:07:12.000Z" title= "Published on 2022-04-21 00:07:12" > 2022-04-21 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-08-09T07:01:07.961Z" title= "Updated on 2022-08-09 15:01:07" > 2022-08-09 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/doing/" > doing </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/" > artificial intelligence </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/" > Deep learning </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/mmdetection/" > mmdetection </a></span></div><div class= "content" > Re gnaw Deep Learning A good representation learning strategy must have certain depth characteristics. For example, killing fish requires multiple steps. Each step uses different methods/tools, usually starting from the underlying features and going through multi-step nonlinear transformation to get good high-level semantic representation features, increasing feature reusability, Exponential increase in representation capability represents the relationship between learning and deep learning Key issues: contribution allocation The impact of different components/parameters on the system output Weighted neural network Artificial neural network consists of a large number of neurons and their directed connections to form the topology of three neuron/sensor networks LeNet AlexNet VGGNet ResNet learning algorithm Classification of single class networks Feedforward network memory network diagram network composite network contribution distribution problem The contribution of different components or params to the final system output results Use partial derivatives to solve the contribution development history model Propose the revival popularity reduction caused by the ice age back propagation algorithm Depth learning Rise of MMDetection image classification model Development LeNet-5 (1998) AlexNet (2012) VGGNet (2014) GoogleNet (2014) ResNet (20 ... </div></div></div><div class= "recent-post-item" ><div class= "post_cover right" ><a href= "/post/python/AI/ML/" title= " 🥵 Hard gnawing - Machine Learning“ ><img class= "post_bg" src= " https://www.helloimg.com/images/2022/04/20/RHZuZ1.png " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 🥵 Hard gnawing - Machine Learning“ ></a></div><div class= "recent-post-info" ><a class= "article-title" href= "/post/python/AI/ML/" title= " 🥵 Hard gnawing - Machine Learning“ > 🥵 Hard gnawing - Machine Learning </a><div class= "article-meta-wrap" ><span class= "post-meta-date" ><i class= "far fa-calendar-alt" ></i><span class= "article-meta-label" > Published on </span><time class= "post-meta-date-created" datetime= "2022-04-20T12:21:09.000Z" title= "Published on 2022-04-20 20:21:09" > 2022-04-20 </time><span class= "article-meta-separator" > | </span><i class= "fas fa-history" ></i><span class= "article-meta-label" > Update on </span><time class= "post-meta-date-updated" datetime= "2022-09-17T09:11:52.466Z" title= "Updated on 2022-09-17 17:11:52" > 2022-09-17 </time></span><span class= "article-meta tags" ><span class= "article-meta-separator" > | </span><i class= "fas fa-tag" ></i><a class= "article-meta__tags" href= "/tags/math/" > math </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/doing/" > doing </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/python/" > python </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD/" > artificial intelligence </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E4%BF%A1%E6%81%AF%E8%AE%BA/" > information theory </a><span class= "article-meta-link" > </span><a class= "article-meta__tags" href= "/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/" > machine learning </a></span></div><div class= "content" > What is machine learning? Deep learning supervised learning unsupervised learning General process of reinforcement learning 1. Original data 2. Data pre-processing problem Integrity whether noise matches repeated continuous/discrete sample distribution Whether balanced method standardization/mean removal range reduction normalization binarization unique hot code label coding 3. Feature processing feature extraction Take the linear combination of the original features to obtain the new features, transform the dimension and reduce the dimensionality 4. Training model 5. Prediction 6. Parameter adjustment 7. Model evaluation and optimization Evaluation method Optimization method Basic problem Regression problem Classification problem Clustering problem Dimension reduction problem Reinforcement problem Three element model Linear method Non linear method/Generalized linear method Learning update loss function expectation of super parameters The expected risk is unknown, and the machine learning problem is approximated by empirical risk- &gt; Empirical risk minimization problem over under fitting and processing parameter learning Empirical risk minimization (least square method) Structural risk minimization (ridge regression) Maximum likelihood estimation Maximum posterior estimation optimization algorithm code The code used in this article is here: 👀 Code-4-Machine Learning </div></div></div><nav id= "pagination" ><div class= "pagination" ><span class= "page-number current" > one </span><a class= "page-number" href= "/page/2/#content-inner" > two </a><span class= "space" > &hellip; </span><a class= "page-number" href= "/page/11/#content-inner" > eleven </a><a class= "extend next" rel= "next" href= "/page/2/#content-inner" ><i class= "fas fa-chevron-right fa-fw" ></i></a></div></nav></div><div class= "aside-content" id= "aside-content" ><div class= "card-widget card-info" ><div class= "is-center" ><div class= "avatar-img" ><img src= " https://www.helloimg.com/images/2022/07/01/ZMNK9R.png " onerror= 'this.onerror=null,this.src="/null"' alt= "avatar" ></div><div class= "author-info__name" > ⎛⎝Weidows⎠⎞ </div><div class= "author-info__description" > May all the beauty be bless. </div></div><div class= "card-info-data site-data is-center" ><a href= "/archives/" ><div class= "headline" > article </div><div class= "length-num" > one hundred and twenty-eight </div></a><a href= "/tags/" ><div class= "headline" > label </div><div class= "length-num" > one hundred and seventy-nine </div></a><a href= "/categories/" ><div class= "headline" > classification </div><div class= 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->Welcome, Kunjin! <- </ h2 ><h3 style= "color:gray" > Low EQ: code is a pile of shit <br> High EQ: strong compatibility </h3><img src= " https://count.getloli.com/get/ @Weidows? theme=rule34" style= "width:100%" ></center></div></div><div class= "sticky_layout" ><div class= "card-widget card-recent-post" ><div class= "item-headline" ><i class= "fas fa-history" ></i><span> Latest articles </span></div><div class= "aside-list" ><div class= "aside-list-item" ><a class= "thumbnail" href= "/post/experience/research/Astronomy/" title= " 🔭 Peep into astronomy again“ ><img src= " https://www.helloimg.com/images/2022/10/05/ZUtaSu.png " onerror= 'this.onerror=null,this.src=" https://www.helloimg.com/images/2022/07/01/ZMNbHo.jpg "' alt= " 🔭 Peep into astronomy again“ ></a><div class= "content" ><a class= "title" href= "/post/experience/research/Astronomy/" title= " 🔭 Peep into astronomy again“ > 🔭 Peep into astronomy again </a><time datetime= "2022-10-07T05:34:17.738Z" title= "Updated 2022-10-07 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document . body . style . overflow = ' auto ' ;
document . getElementById ( ' loading-box ' ). classList . add ( " loaded " )
},
initLoading : () => {
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document . getElementById ( ' loading-box ' ). classList . remove ( " loaded " )
}
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fetch ( ' https://v1.hitokoto.cn ' )
. then ( response => response . json ())
. then ( data => {
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const sub = [ " May all the beauty be bless. " ]
sub . unshift ( data . hitokoto , from )
window . typed = new Typed ( ' #subtitle ' , {
strings : sub ,
startDelay : three hundred ,
typeSpeed : one hundred and fifty ,
loop : false ,
backSpeed : fifty ,
})
} else {
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}
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if ( typeof Typed === ' function ' ) {
subtitleType ()
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}
} else {
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} </script><script> (() => {
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if ( $mermaidWrap . length ) {
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const theme = document . documentElement . getAttribute ( ' data-theme ' ) === ' dark ' ? ' neutral ' : ' default '
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const mermaidSrc = item . firstElementChild
const mermaidThemeConfig = ' %%{init:{ \' theme \' : \' ' + theme + ' \' }}%% \n '
const mermaidID = ' mermaid- ' + index
const mermaidDefinition = mermaidThemeConfig + mermaidSrc . textContent
mermaid . mermaidAPI . render ( mermaidID , mermaidDefinition , ( svgCode ) => {
mermaidSrc . insertAdjacentHTML ( ' afterend ' , svgCode )
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elements : ' a:not([target="_blank"]) ' ,
selectors : pjaxSelectors ,
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scrollRestoration : false
})
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}
}
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typeof typed === ' object ' && typed . destroy ()
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const $bodyClassList = document . body . classList
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typeof disqusjs === ' object ' && disqusjs . destroy ()
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})
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typeof chatBtnFn === ' function ' && chatBtnFn ()
typeof panguInit === ' function ' && panguInit ()
// google analytics
typeof gtag === ' function ' && gtag ( ' config ' , '' , { ' page_path ' : window . location . pathname });
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typeof _hmt === ' object ' && _hmt . push ([ ' _trackPageview ' , window . location . pathname ]);
typeof loadMeting === ' function ' && document . getElementsByClassName ( ' aplayer ' ). length && loadMeting ()
// prismjs
typeof Prism === ' object ' && Prism . highlightAll ()
typeof preloader === ' object ' && preloader . endLoading ()
Weidows . re ();
})
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