投稿時間:2023-02-22 16:38:43 RSSフィード2023-02-22 16:00 分まとめ(43件)

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IT 気になる、記になる… 楽天モバイル、「Apple Watch Series 7」と「Apple Watch SE (第1世代)」を値下げ https://taisy0.com/2023/02/22/168786.html applewatchse 2023-02-22 06:54:18
IT 気になる、記になる… Appleの整備済み商品情報 2023/2/22 https://taisy0.com/2023/02/22/168784.html apple 2023-02-22 06:40:36
IT 気になる、記になる… モバイルICOCA、Android向けに3月22日にサービス開始 https://taisy0.com/2023/02/22/168781.html android 2023-02-22 06:35:28
IT ITmedia 総合記事一覧 [ITmedia News] AI生成キャラのポーズを“棒人間アバター”で指定 「ControlNet」にVRを応用するユーザー登場 https://www.itmedia.co.jp/news/articles/2302/22/news162.html controlnet 2023-02-22 15:35:00
IT ITmedia 総合記事一覧 [ITmedia ビジネスオンライン] カシオ計算機、フルメタル「G-SHOCK」にイエローゴールドが登場 https://www.itmedia.co.jp/business/articles/2302/22/news146.html gmbgda 2023-02-22 15:30:00
IT ITmedia 総合記事一覧 [ITmedia PC USER] Razer、8000Hzの高ポーリングレートを実現した有線ゲーミングマウス「Razer DeathAdder V3」 https://www.itmedia.co.jp/pcuser/articles/2302/22/news159.html itmediapcuserrazer 2023-02-22 15:25:00
IT ITmedia 総合記事一覧 [ITmedia News] “100万円修行”も無駄にならない Oliveを1枚発行すれば、既存の三井住友カードもポイントアップ https://www.itmedia.co.jp/news/articles/2302/22/news156.html 不満の声 2023-02-22 15:24:00
TECH Techable(テッカブル) KDDIや出前館、スマホ位置情報を活用した事故防止サービスの実証実験を開始 https://techable.jp/archives/196823 事故防止 2023-02-22 06:00:40
IT 情報システムリーダーのためのIT情報専門サイト IT Leaders セイコーソリューションズ、ロードバランサー「Netwiser」にクラウドWAFとの連携機能を追加 | IT Leaders https://it.impress.co.jp/articles/-/24489 セイコーソリューションズ、ロードバランサー「Netwiser」にクラウドWAFとの連携機能を追加ITLeadersセイコーソリューションズは年月日、ロードバランサー「Netwiserシリーズ」にWAFWebアプリケーションファイアウォール機能を追加すると発表した。 2023-02-22 15:25:00
python Pythonタグが付けられた新着投稿 - Qiita Pythonで自作言語 https://qiita.com/SUPERFIRE777/items/84b7d42a3454f02eac2b superfire 2023-02-22 15:55:19
python Pythonタグが付けられた新着投稿 - Qiita 【Maya/Mel/Python】スクリプトフォルダを整理したい https://qiita.com/arizeworks/items/ecb6d067b9e6b154f443 mayamelpython 2023-02-22 15:27:36
python Pythonタグが付けられた新着投稿 - Qiita Raspberry Pi に Xbox のコントローラーを Bluetooth 接続して Python で使う https://qiita.com/tkarube/items/3eb24d2760e9f069e462 bluetooth 2023-02-22 15:02:24
python Pythonタグが付けられた新着投稿 - Qiita python maya get all curves https://qiita.com/aizwellenstan/items/e020cc0f69382ea720ad curves 2023-02-22 15:01:17
js JavaScriptタグが付けられた新着投稿 - Qiita これから始める学習ロードマップ https://qiita.com/ryutizm/items/726744c5faa42dab91cc 色々 2023-02-22 15:43:28
AWS AWSタグが付けられた新着投稿 - Qiita 【個人開発】「好み」リストを作成・公開できるサイトを作りました https://qiita.com/hick-r/items/ba3a4404d8bc39489d7e 作りました 2023-02-22 15:57:22
AWS AWSタグが付けられた新着投稿 - Qiita これから始める学習ロードマップ https://qiita.com/ryutizm/items/726744c5faa42dab91cc 色々 2023-02-22 15:43:28
Azure Azureタグが付けられた新着投稿 - Qiita 【実験】Azure Data Factory or Azure Synapse のパイプラインで SharePoint Online or Teams 上のファイルをデータレイクに連携する https://qiita.com/ryoma-nagata/items/a04185dad49616e0bcd4 adlsgen 2023-02-22 15:25:37
Azure Azureタグが付けられた新着投稿 - Qiita 【仕様変更対応】Azure Data Factory or Azure Synapse のパイプラインでローカルファイルシステムにアクセスする方法 https://qiita.com/ryoma-nagata/items/35e58aa4bb846bd8dac3 azure 2023-02-22 15:20:42
Git Gitタグが付けられた新着投稿 - Qiita GitHubへの初接続にはGit Credentials Manager https://qiita.com/ma-me/items/a600e81f34d21a26e805 pushoriginmainusernamefor 2023-02-22 15:21:20
技術ブログ Developers.IO MomentoがCollection Data Typeを正式サポートしました https://dev.classmethod.jp/articles/momento-collection-release/ collectiondatatype 2023-02-22 06:43:35
技術ブログ Developers.IO Amazon Omics Analytics へ GFF ファイルをインポートする前に拡張子を確認しましょう https://dev.classmethod.jp/articles/restrictions-on-gff-files-for-amazon-omics/ omicsanalytic 2023-02-22 06:35:32
海外TECH DEV Community Converting Real-World Colors to a Digital Format https://dev.to/bytebodger/converting-real-world-colors-to-a-digital-format-433c Converting Real World Colors to a Digital FormatThis is the first in a new series about color image manipulation in JavaScript Some of this will cover color theory But I ll also be giving loads of real world operable code samples The background for this series comes from the fact that in my spare time painting is one of my hobbies I never did any kinda painting for most of my life But about eight years ago I got a bug to start playing around with some paints I thought that bug was gonna be nothing more than a quick little diversion But over the years I ve found that there are many quirky features of color image management that most devs simply aren t exposed to on a regular basis Some Supporting LinksBefore I get into the meat of the article I ll share a few links with you Those are in progress pics of my past and current paintings You ll notice that my style is quite different from most painters I use heavy body acrylics And I squeeze all of the paint out of bottles onto the canvas panel It provides an extreme impasto effect This is the brand new app site Paint Map Studio that I just launched I ve been wanting to write these articles for quite a while But I always held off because the software I d written only existed on my local machine Now it s on a publicly available website for anyone to play with That site allows you to load an image file and then map the colors that exist in that file to a given palette of paint colors It also gives you a lot of levers to adjust to determine exactly how the colors in the image will be mapped to the paints And this is the GitHub repo for all of the code in Paint Map Studio It s a React JavaScript app that uses Material UI for the visual elements OK on to the subject of this article The First ProblemWhen I first got the idea to start painting I had this vision of creating pixel art on a canvas So the first thing I did was to go out and buy a bunch of different paints I mean a lot of paints I bought all those different paints because I don t know squat about color mixing and I had no confidence that I could look at an image on my screen and then figure out exactly how to blend a small set of base colors to match what I was seeing So instead I figured that I d just buy ALL THE COLORS And then it would be easy Right Also because I m a certified nerd I figured that it d be easy to write a program that would match the colors in the target image to the closest possible colors amongst all the paints that I d just purchased In hindsight this was far more difficult than I d imagined BTW the image above is an actual picture of a bunch of my paints piled up on the floor It s not even all of my paints It s just a representative sampling There are many more tubes jars of paint sitting on my shelves Before I could set about writing my easy new program I first needed some way to compare the digital colors that existed in my subject image to the in real life colors that I now had in all those little tubes of paint This felt like a trivial task to me Because there are loads of ways to capture images of items in meatspace and then translate them to my web based environment However I eventually learned that capturing the true color of items in everyday life can be a bit more challenging than it first seems Where is the real color When painters want to see the color of a paint swatch it s common to do something like the image above They take a dab of the paint smear it across some presumably white surface and wait for it to dry And that supposedly shows you the color of that paint But take a close look at that image Is there really one specific shade of purple in that image Of course not In fact once you take a digital scan of your little paint smear you end up with potentially hundreds of slightly different yet distinct colors Some parts of the smear are a fairly rich hue of purple Other parts are far lighter So which exact pixel should you grab out of that image to determine the real color of purple that comes in that particular tube of paint Of course you can mitigate these effects by making your smear far thicker The idea is that you don t spread it so thin And once the whole paint smear is of a uniform thickness it should be easier to grab the real color of the paint Right It should also be noted that the many different hues that can come from any single color of paint are really not a bug They re a feature Skilled artists know how to use this feature to get the exact colors they desire in their finished pieces Unfortunately I m not one of those skilled artists Searching for the perfect paint blobTo fix the problem with thin paint smears I made a bunch of test blobs for every different color of paint that I owned I tried to make them nice and thick so I wasn t seeing the pastel effect of thinly scraped paint on a white surface The image above shows one of these test sheets This approach did help me to mitigate the problem But it was far from perfect If you look closely at each one of those little blobs you ll still notice a variety of hues on each one Much of this comes from the fact that the paint is shiny So when you try to capture them digitally you get much lighter colors on the shiny portions and much darker colors on the not so shiny portions Still these blobs did allow me to get a baseline color measurement for every different paint in my inventory Originally I scanned these sheets and then used a color picker to find the color in the darkest least shiny bits of each blob This approach worked Kinda Sorta It definitely allowed me to dive into the other aspects of my color matching program But after I d done some painting I found that my real life colors were often a bit off from what I had scanned These inaccuracies were crucial Because if you re trying to write a color matching program you need to know that your reference colors are accurate Otherwise the best color matching program in the world will still deliver some occasionally wonky results So if I was creating nice thick blobs and then grabbing the digital colors directly from the richest darkest bits of the scanned image why was I still finding inaccuracies in my program Part of the problem lies in the way that we perceive color and the way those perceptions change due to all the environmental factors of ambient lighting Real world colors are illusoryAs a programmer you may be under the impression that color is a static thing Specifically you may believe that objects have inherent colors And that those objects are always the same color no matter what environment they may be in This is a natural conclusion for techies Because in a digital world colors are static For example consider the following color Unless you re color blind or unless your monitor is seriously jacked up I m assuming that you ll look at that square and immediately identify it as red And it is indeed red Furthermore it will look red and it will look to be the exact same shade of red no matter where you view it If you move your phone laptop outside and look at it again in broad daylight it will look exactly the same If you move your phone laptop into an incredibly dark room and then look at it again it will still be red In fact it will still be the exact same shade of red Anywhere that you view it But this feature of color permanence arises because on our electronic devices the red box you see above is a SOURCE of light No matter what environment you re in the color of that box above looks the same because the box isn t reflecting red wavelengths It s emitting red wavelengths So the box always looks exactly the same no matter where you view it The problem here is that the red box above is a light source So as long as that light source is emitting red light you ll always perceive the box to be that exact same shade of red But in the real world most of the objects that we view are not emitting wavelengths of light They re reflecting them To put it another way colors of light work in an additive fashion But colors of real world objects work in a subtractive fashion We ll hit this topic again in future articles in this series But for now the easiest way to think about it is that in an additive model if you add all the colors together you get white But in a subtractive model if you add all the colors together you get the exact opposite You get black You can demonstrate this in a digital realm by looking at RGB values White is rendered by mixing all of the red with all of the green with all of the blue For example in CSS this is represented as rgb where is the maximum amount of each color But if you re working with real world colors e g paints then mixing all of the red with all of the green with all of the blue will yield black So clearly colors that emanate from light sources operate in a way that s quite different from colors that are reflected by other light sources The many shades of Solo cupsMost people at least in the US will immediately conjure up an image and a color when you say Solo cup The iconic party cups are known for being red And if you ve been to a kegger or played a game of beer pong you probably know all about the exact color of a Solo cup So I took several different pics of a Solo cup for this article The image above was taken under a bright light Specifically it was a bright white light Now of course the image is not a single featureless blob of red There are features on the cup that reflect many different shades of red But for the most part we could put our color picker right in the meaty non ridged portion of that cup and get an RGB value that reflects some variation of red The image above is the exact same cup Unmoved The only difference is that I photographed it under a bright yellow light Or to put it another way I photographed it under much warmer light Notice how the same portion of the cup now feels a bit more orange And finally the image above was taken under much dimmer light Now colloquially speaking we could easily look at all three images and simply say The cup is red In all three images So what s the big deal And for government work they re all probably close enough that no one would care But they re definitely not identical To make this clearer I used my color picker to grab the exact shade of red from the same spot on the cup in all three pics These are the values that I got Red Green Blue Red Green Blue Red Green Blue Sure they re all fairly close But they re definitely not identical To make it even more obvious the following image shows those three shades of red shades that were all captured from the exact same item side by side Such distinctions may sometimes be trivial But if you re trying to capture a color from say a piece of marketing swag there s a good chance that the exact RGB value you settle upon will not perfectly match the official RGB values from the company s marketing team And we all know how picky brand managers can be about the EXACT shade of any given color when it comes to corporate media Lighting shifts colorWe already know that grabbing a single color from a pic of a real world object can be problematic because it can be challenging to decide on the exact pixel in the image to use But as I demonstrated in the previous section the amount and the type of light can also wreak havoc on color captures Extremely low light doesn t just make something darker It literally changes the colors that we perceive on the object as the environment grows dimmer Reds will sink into purples Yellows will sink into browns Eventually if it gets dark enough the color that we perceive from any object will be black You may think the answer is simply to capture images under extremely bright light But this can also throw your color captures off As the light source grows more intense objects take on hues that are more pastel in nature Remember I said that the color captures from my paint blobs were still a bit off The reason was because I was taking the sheets of paper that held the blobs and scanning them I thought this was a sound idea because the scanner would eliminate many of the issues with ambient lighting But the scanner created its own problem Scanners printers copiers work by shining an intense light on the target sheet of paper It s so intense in fact that you can see the light shining out even after you ve closed the lid While that intense light is ideal for highlighting areas of high contrast e g when you have a bunch of black text on a white sheet of paper it can cause headaches when you re trying to get an accurate measure of the exact colors on the page The type of light also affects the colors we can capture from an image Incandescent light is incredibly yellow a feature that can make for great photographs but is problematic when trying to find true colors LEDs even white LEDs often have blue or violet undertones Daylight is tough to manage both because it varies from hour to hour and minute to minute and also because it carries its own yellow undertones So what is the solution After all the gotchas discussed above you may be hoping that I can wrap this article up with a perfect solution Something that allows us to extract the real colors of objects in physical space Alas there is no perfect solution As I ve already shown you it can be a bit of a fool s errand to break your neck trying to extract the One True Color from something represented in a digital image Because that One True Color varies constantly based upon the amount of lighting the type of lighting and where on the image you decide to capture the color from There are however a few basic tips you can follow Strive for white lighting The closer your light source is to true white the more likely that you re grabbing an RGB value from the image that is perceived to be the true color of the object Try to grab color captures from the most homogenous part of the subject Ridges folds bumps etc will all throw off your attempt to grab the object s color Avoid lighting extremes You don t want to grab colors from images taken in dim lighting But you also don t want to grab colors from images where the subject is bathed in intense light Obviously you always want to strive to get official RGB values for your colors whenever possible The majority of times you can expect to receive these from the marketing branding folks Or even from a print shop All that being said there may still be times when you need to grab a color from an image of a real world object Like when you re trying to match colors in a digital image to those founds in real world paints When this happens understand that there is no perfect way to grab the object s true color All you can do is mitigate the factors that will throw off the color perception of the object you re trying to capture In the next installment I ll be getting a lot more code centric I ll show you how to take a digital image analyze its existing colors and then average them to create pixelization Eventually I ll be showing a lot of nitty gritty logic that went into my Paint Map Studio color matching tool Stay tuned 2023-02-22 06:23:26
医療系 医療介護 CBnews EPA看護師・介護福祉士候補者の滞在期間延長-政府が閣議決定、受験機会増え合格者増に期待 https://www.cbnews.jp/news/entry/20230222152852 介護福祉士 2023-02-22 15:45:00
金融 JPX マーケットニュース [OSE]日経225オプションのコンプレッション取引の成立 https://www.jpx.co.jp/news/2040/20230222-02.html 日経 2023-02-22 16:00:00
金融 JPX マーケットニュース [東証]新規上場の承認(グロース市場):ノイルイミューン・バイオテック(株) https://www.jpx.co.jp/listing/stocks/new/index.html 新規上場 2023-02-22 15:30:00
金融 JPX マーケットニュース [東証]新規上場の承認(グロース市場):ビズメイツ(株) https://www.jpx.co.jp/listing/stocks/new/index.html 新規上場 2023-02-22 15:30:00
金融 JPX マーケットニュース [東証]新規上場銘柄の売買に関する規制措置:プライム・ストラテジー(株) https://www.jpx.co.jp/news/1030/20230222-01.html 新規上場 2023-02-22 15:15:00
金融 JPX マーケットニュース [東証]新規上場(2日目)の初値決定前の気配運用について:プライム・ストラテジー(株) https://www.jpx.co.jp/news/1031/20230222-01.html 新規上場 2023-02-22 15:15:00
金融 JPX マーケットニュース [OSE]最終清算数値(2023年2月限):金、白金 https://www.jpx.co.jp/markets/derivatives/special-quotation/ 清算 2023-02-22 15:15:00
金融 ニッセイ基礎研究所 中国の高齢者デモ、その背景は何か。 https://www.nli-research.co.jp/topics_detail1/id=73988?site=nli その原因は、武漢市が今年の月から公的医療保険に関して新たな規定を適用するとし、基本医療保険基金から医療療保険口座への振替えの基準や比率を大幅に改定した点にある。 2023-02-22 15:31:00
海外ニュース Japan Times latest articles China and Japan square off over arms and balloons at security talks https://www.japantimes.co.jp/news/2023/02/22/national/china-japan-security-talks/ taiwan 2023-02-22 15:37:57
海外ニュース Japan Times latest articles Japan to start new round of COVID-19 vaccination from May for elderly https://www.japantimes.co.jp/news/2023/02/22/national/covid-vaccine-rollout-spring/ Japan to start new round of COVID vaccination from May for elderlyThe new inoculation drive comes despite the government s decision to downgrade the legal status of COVID to the same category as common infectious diseases like 2023-02-22 15:34:50
海外ニュース Japan Times latest articles Tokyo police arrest suspects in murder linked to ‘Luffy’ robbery cases https://www.japantimes.co.jp/news/2023/02/22/national/crime-legal/arrest-robbery-murder-case/ Tokyo police arrest suspects in murder linked to Luffy robbery casesPolice believe the murder was part of a string of robberies across Japan that is believed to have been coordinated by four men who were 2023-02-22 15:01:16
海外ニュース Japan Times latest articles Sumo’s changed landscape reflected in 2023 depth chart https://www.japantimes.co.jp/sports/2023/02/22/sumo/sumo-mock-draft-2023/ future 2023-02-22 15:48:09
ニュース BBC News - Home Six Nations 2023: Deadline day arrives for Wales v England match in Cardiff https://www.bbc.co.uk/sport/rugby-union/64725372?at_medium=RSS&at_campaign=KARANGA Six Nations Deadline day arrives for Wales v England match in CardiffThe decision on whether Wales Six Nations match against England goes ahead reaches the Wednesday deadline set by Welsh players 2023-02-22 06:38:54
ビジネス ダイヤモンド・オンライン - 新着記事 ロシア軍の失敗と訓練不足、新攻勢であらわ - WSJ発 https://diamond.jp/articles/-/318260 訓練 2023-02-22 15:28:00
ビジネス ダイヤモンド・オンライン - 新着記事 【社説】ウクライナで米国がとるべき選択 - WSJ発 https://diamond.jp/articles/-/318261 選択 2023-02-22 15:23:00
ニュース Newsweek 「ポスト黒田」に「植田新総裁」が望ましい訳──世界最高の経済学を学んだ男の正体 https://www.newsweekjapan.jp/stories/business/2023/02/post-100923.php 2023-02-22 15:30:00
マーケティング MarkeZine クロスロケーションズ、位置情報を活用した広告配信サービスを開始 地図表示やエリアでテキストが変化 http://markezine.jp/article/detail/41278 位置情報 2023-02-22 15:15:00
IT 週刊アスキー アバンストラッシュXやメドローアも使える!『ドラクエタクト』で第2回ダイの大冒険コラボが開催 https://weekly.ascii.jp/elem/000/004/126/4126033/ 開催 2023-02-22 15:35:00
IT 週刊アスキー ルミネ新宿にPOP UPスペース「Gallery1」も新登場! ルミネ、ニュウマン各館で約110ショップをリニューアル https://weekly.ascii.jp/elem/000/004/126/4126005/ gallery 2023-02-22 15:30:00
マーケティング AdverTimes サッポロビールのD2C「ホッピンガレージ」、23年はリアルチャネル拡充に注力 https://www.advertimes.com/20230222/article412028/ 取り組み 2023-02-22 06:09:12
マーケティング AdverTimes 永谷園 入学前の全国17万人の年長児に「めざまし茶づけ」をサンプリング https://www.advertimes.com/20230222/article412058/ 都道府県 2023-02-22 06:05:09

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